Presented by Mr. Sandeep Makhijani, Regional Director for Asia Pacific (APAC), Truven Health Analytics at ISS Seminar: How Analytics is Transforming Healthcare on 31 Oct 2014.
Medisolv offers comprehensive Quality Reporting and Management software that assists Eligible Hospitals and Professionals in addressing their electronic and abstracted measure needs. Our software solution, paired with our expert consultants, assist clients with their quality reporting requirements. As a part of our quality solution we offer submission services to CMS and The Joint Commission. Our Quality Reporting and Management solution is exclusively endorsed by the American Hospital Association.
Medisolv also offers Business Analytics solutions that feature automated daily EHR data extracts. Our platform provides management with the tools and analytics to improve performance.
The healthcare transformation from fee for service to fee for outcomes just got an adrenaline shot in the arm April 27th when the Department of Health and Human Services surprised many in the market by announcing a Quality Payment Program, a proposed set of new rules to take effect in 2019 based on key provisions of the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA).
Pairing HIE Data with an Analytics Platform: Four Key Improvement CategoriesHealth Catalyst
Population health and value-based payment demand data from multiple sources and multiple organizations. Health systems must access information from across the continuum of care to accurately understand their patients’ healthcare needs beyond the acute-care setting (e.g., reports and results from primary care and specialists). While health system EHRs have a wealth of big-picture data about healthcare delivery (e.g., patient satisfaction, cost, and outcomes), HIEs add the clinical data (e.g., records and transactions) to round out the bigger picture of patient care, as well as the data sharing capabilities needed to disseminate the information.
By pairing HIE capability with an advanced analytics platform, a health system can leverage data to improve processes in four important outcomes improvement areas:
Workflow
Machine learning
Professional services
Data governance
Linking Clinical and Financial Data: The Key to Real Quality and Cost Outcome...Health Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
Medisolv offers comprehensive Quality Reporting and Management software that assists Eligible Hospitals and Professionals in addressing their electronic and abstracted measure needs. Our software solution, paired with our expert consultants, assist clients with their quality reporting requirements. As a part of our quality solution we offer submission services to CMS and The Joint Commission. Our Quality Reporting and Management solution is exclusively endorsed by the American Hospital Association.
Medisolv also offers Business Analytics solutions that feature automated daily EHR data extracts. Our platform provides management with the tools and analytics to improve performance.
The healthcare transformation from fee for service to fee for outcomes just got an adrenaline shot in the arm April 27th when the Department of Health and Human Services surprised many in the market by announcing a Quality Payment Program, a proposed set of new rules to take effect in 2019 based on key provisions of the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA).
Pairing HIE Data with an Analytics Platform: Four Key Improvement CategoriesHealth Catalyst
Population health and value-based payment demand data from multiple sources and multiple organizations. Health systems must access information from across the continuum of care to accurately understand their patients’ healthcare needs beyond the acute-care setting (e.g., reports and results from primary care and specialists). While health system EHRs have a wealth of big-picture data about healthcare delivery (e.g., patient satisfaction, cost, and outcomes), HIEs add the clinical data (e.g., records and transactions) to round out the bigger picture of patient care, as well as the data sharing capabilities needed to disseminate the information.
By pairing HIE capability with an advanced analytics platform, a health system can leverage data to improve processes in four important outcomes improvement areas:
Workflow
Machine learning
Professional services
Data governance
Linking Clinical and Financial Data: The Key to Real Quality and Cost Outcome...Health Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
3 Perspectives to Better Apply Predictive & Prescriptive Models in HealthcareHealth Catalyst
In healthcare we tend to think of predictive or prescriptive model building and deployment as technical challenges. We do not put enough emphasis on the importance of change management. This disorientation leads to uneven adoption and results. In this webinar Jason Jones discusses and demonstrates three perspectives, accompanied by tools, to help you drive action and deliver better outcomes.
We develop predictive and prescriptive models in healthcare to improve Quadruple Aim outcomes—population health, patient experience, reduced cost, and positive provider work life. Successful adoption of predictive and prescriptive models heavily depends upon behavior change. This requires more than technical accuracy. While prediction algorithms abound, tools to facilitate change management remain scarce. During this webinar, we will discuss how to achieve model understanding using three perspectives: functional, contextual, and operational.
View the webinar to learn:
- Why a predictive or prescriptive model endeavor is more a change management challenge than a technical one
- How to apply three types of model understanding to a use case in your own organization
In this webinar, Jason Jones, PhD, Chief Data Scientist at Health Catalyst discusses and provides examples of our work using three perspectives of understanding to help clinical and operational leaders achieve value from predictive and prescriptive models. Investing time and effort to ensure model understanding is necessary for broad scale adoption.
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...Health Catalyst
Each year 1.7 million Americans are diagnosed with sepsis, resulting in 270,000 deaths, according to the Centers for Disease Control and Prevention. That’s one death every two minutes, making sepsis the leading cause of death in U.S. hospitals. The financial toll is also high, with the average cost per sepsis stay over $18,000. Sepsis is the number one cause of both initial hospitalizations and readmissions.
Nearly all sepsis deaths are preventable. Community outreach, focused attention on the emergency department, and effective technology and processes to monitor patients already admitted can reduce sepsis mortality. Making a goal of “zero sepsis deaths” a reality is a personal and professional passion of Armando Nahum, a patient activist and co-founder and President of the Safe Care Campaign, and Kathleen Merkley, DNP, ANP, FNP, Senior Vice President of Professional Services at Health Catalyst.
Nahum and Merkley share stories and practical steps to drastically reduce the sepsis toll. Michael L. Millenson, Senior Advisor to Health Catalyst, patient safety expert, and long-time advocate of safer, higher-quality, more patient-centered care, facilitates the dialogue.
What You’ll Learn
- How to implement community outreach to facilitate timely sepsis recognition and seeking of care.
- How to organize emergency department processes for prompt sepsis recognition and treatment.
- How to ensure prompt sepsis recognition and treatment in the inpatient environment.
- How to avoid sepsis readmissions.
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...Health Catalyst
One of the biggest challenges health systems have faced since the onset of COVID-19 is the disruption to routine care. These care disruptions, such as halted routine checkups and primary care visits, place some patients at a higher risk for adverse outcomes. Health systems can rely on data science, based on past care disruption, to identify vulnerable patients and the short- and long-term effects these care disruptions could have on their health. Data science can also inform the care team which care disruptions to address first. With comprehensive information about care disruption on patients, health systems can apply the right interventions before it’s too late.
The Analytic System: Finding Patterns in the DataHealth Catalyst
Dr. Haughom set the stage for this upcoming discussion in his previous webinar, explaining the key components of an effective analytical system that enables self-exploration and learning. In this session Attendees will learn:
How the distinction between random variation and assignable cause variation is critically important to patient care
Creation and application of Statistical Process Control (SPC) charts to:
Monitor process variation over time
Differentiate between assignable cause and random cause variation
Assess effectiveness of change on a given process
Achieve and maintain process stability
How implementing inlier management and creating a collaborative environment will drive continuous improvement
How to identify patterns in data using a live demonstration of advanced analytical tools.
Care Management Part 2 - A Critical Component of Effective Population HealthHealth Catalyst
Care management plays a central role in the world of value-based reimbursements, at-risk contracts, and population health management. Such programs require high-touch and resource-intensive care as teams work to deliver on the substantial promise of delivering patient care improvements while reducing costs.
Three Strategies to Deliver Patient-Centered Care in the Next NormalHealth Catalyst
Juggling financial demands, uncertain healthcare legislation, and COVID-19 can distract healthcare leaders from the most important aspect of care—patients. Delivering patient-centered care in this volatile market can be challenging, especially when traditional healthcare methods (e.g., in-person visits) are on hold. These sudden disruptions to routine care have highlighted the importance of keeping patients at the center of care, whether care delivery is in-person or virtual. Health systems can manage competing priorities, adjust to pandemic-induced changes, and deliver patient-centered care by focusing on three strategies:
Improve the patient experience.
Implement the Meaningful Measures Initiative.
Transition in-person visits to virtual.
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?Health Catalyst
Debating between building vs. buying your organization’s healthcare data warehouse? This presentation will explore the technical and organizational pros and cons of building vs. buying, as well as a third approach you may not have even considered.
Three Cost-Saving Strategies to Reduce Healthcare SpendingHealth Catalyst
Health systems continue to face fiscal challenges and burdens due to changing reimbursement rates, COVID-19, and managing the aftermath of care disruptions from the pandemic. Operating on thin margins with limited resources means health systems need to adopt alternative cost-saving measures to maximize limited resources.
Comprehensive, reliable data increases visibility into expenses across the care continuum so that leaders can leverage new methods to save money, generate income, and accelerate cashflow to keep patients healthy and hospital doors open. With access to recent data, health systems can focus on three cost-saving strategies:
Increase physician engagement.
Predict propensity to pay.
Implement evidence-based standards of care.
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...Health Catalyst
Unlike the standard post-event reporting process, the Patient Safety Monitor Suite: Surveillance Module is a trigger-based surveillance system, enabled by the unique industry-first technological capabilities of the Health Catalyst Data Operating System platform, including predictive analytic models and AI. Additionally, once listed, the Health Catalyst PSO will create a secure and safe environment where clients can collect and analyze patient safety events to learn and improve, free from fear of litigation. Coupled with patient safety services, an organization’s active all-cause harm patient safety system is fully enabled to deliver measurable and meaningful improvements.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Health Catalyst
Dale Sanders provides an update on the Healthcare Analytics Adoption Model. Dale published the first version of this model in 2002, calling it the Analytics Capability Maturity Model. The three intentions at that time are the same as they are today: 1) Provide healthcare leaders with a clear roadmap for the progression of analytic maturity in their organization. 2) Provide vendors with a roadmap to meet the analytic needs of clients. 3) Create a common framework to benchmark the progressive adoption of analytics at the industry level.
In 2012, Dale co-published a new version of the Model with Dr. Denis Protti, rebranding it the Healthcare Analytics Adoption Model and purposely borrowing from the widespread adoption of the EMR Adoption Model (EMRAM) published and supported by HIMSS. In 2015, Dale transferred the model under a creative commons copyright to HIMSS to create a vendor-independent industry standard that is now widely applied to support the original three intentions. He continues to collaborate with HIMSS to progress the Model.
During this webinar, Dale:
-Reviews the current state of the Health Catalyst Model, including recent changes that advocate a ninth level—direct-to-patient analytics and AI.
-Shares his observations of maturity in the market.
-Provides an update on the current state of the HIMSS Adoption Model for Analytic Maturity.
Achieving Stakeholder Engagement: A Population Health Management ImperativeHealth Catalyst
To succeed in population health management (PHM), organizations must overcome barriers including information silos and limited resources. Due to the systemwide nature of these challenges, widespread stakeholder engagement is an imperative in population-based improvement.
An effective PHM stakeholder engagement strategy incorporates the following:
Includes as many stakeholders as possible at the beginning of the journey.
Meets the unique analytics and reporting needs of the organization.
Enables users to measure, and therefore manage, PHM outcomes.
Provides the real-time analytics value-based care requires.
In today’s healthcare market, financial challenges rank as the number one issue hospitals face. To maintain a margin to support their mission, hospital CEOs must always be on the lookout for opportunities to boost revenue through improved reimbursement. In this webinar, Thibodaux Regional Medical Center’s Greg Stock, president and chief executive officer, and Mikki Fazzio, director, HIM and clinical documentation improvement, as they share how Thibodaux Regional leveraged analytics to provide actionable feedback to continuously improve the process, and how you can too.
Managing ‘discharged not final billed’ (DNFB) cases is one important way hospitals can improve financial performance by increasing collection on bills with incomplete payment due to coding or documentation gaps. Historically, Thibodaux Regional’s DNFB caseload had reached 500 cases per month, with about a third of patients discharged without a completed bill due either to missing documentation or incomplete coding. Thibodaux Regional tackled this process problem by expanding the use of analytics to measure and track every aspect of their billing services. The results were impressive and sustainable. Three years after launching its initial DNFB redesign effort, Thibodaux Regional has realized $2.4M in additional annual reimbursement and a 61% relative reduction in DNFB dollars, as well as a 6.2 reduction in AR days, resulting in significantly improved cash flow.
View this webinar to learn how to:
- Increase reimbursement levels by optimizing workflow analytics
- Ease the documentation burden on overloaded physicians with time-efficient communication
- Provide critical analytics visibility to key stakeholders
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOsHealth Catalyst
While many organizations use patient registries from EMRs to determine their patient population, there is a better way. Using GIS location technology, a health system can identify its care population based on geography and drive times. Health Catalyst uses Dartmouth Atlas hospital referral regions, a hierarchy of facility levels with appropriate drive time isochrones, and medical specialties-based central place theory to develop a more comprehensive view of a health system’s minimum bounding geometry. Using this method, ACOs derive a better understanding of their enrolled patients and eligible payer groups resulting a better basis for strategy and decision making.
The Doctor’s Orders for Engaging Physicians to Drive ImprovementsHealth Catalyst
Physicians drive the majority of all quality and cost decisions, yet reimbursement pressures, competing time pressures, misaligned incentives, and a lack of credible data often make engaging clinicians in improvement work one of the biggest challenges in healthcare.
David Wild, MD, MBA, and Jack Beal, JD, explore how to spread data to the edges of the organization and engage physicians in leading a continuum of improvement across an entire organization.
During this webinar, our presenters:
• Identify the levels of physician leadership in your organization you can engage to drive improvement.
• Pinpoint the types of data and information of most interest to physician leaders.
• Propose several ways data to use data to engage physicians in leading improvement work.
• Help you develop at least one mechanism you can use to better engage physicians in improvement work at your organization.
Improving Quality Measures Can Lead to Better OutcomesHealth Catalyst
Current quality measures are expensive and time consuming to report, and they don’t necessarily improve care. Many health systems are looking for better ways to measure the quality of their care, and they are using data analytics to achieve this goal. Data analytics can be helpful with quality improvement. There are four key considerations to evaluate quality measures:
Organizations must develop measures that are more clinically relevant and better represent the care provided.
Clinician buy-in is critical. Without it, quality improvement initiatives are less likely to succeed.
Investment in tools and effort surrounding improvement work must increase. Tools should include data analytics.
Measure improvement must translate to improvement in the care being measured.
When the right measures are in place to drive healthcare improvement, patient care and outcomes can and do improve.
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealth Catalyst
Author Douglas Laney is now tackling the topic of Infonomics: the practice of information economics. In his 2017 book, Infonomics: How to Monetize, Manage, and Measure Information as an asset for competitive advantage, Laney provides detailed rationale as well as a thoughtful framework for treating information as a modern-day organization’s most valuable asset.
This article walks through how healthcare organizations can leverage data to its full potential using this framework and the three principles of infonomics:
Measure - How much data does the organization have? What is it worth?
Manage - What data does the organization have? Where is it stored?
Monetize - How does the organization use data?
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...Health Catalyst
Under a precision medicine approach, clinicians, academics, and pharma and biotech researchers and regulators aim to deliver the right drug for the right patient at the right time. Data, however, can present a challenge to precision medicine goals due to gaps in clinical care, research, and drug development when organizations don’t have the ability to capture and report on relevant real-world data. With the right systems to collect and share clinical and molecular data, the healthcare industry can realize the full benefits of precision medicine.
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...Health Catalyst
Care management programs are most successful when patients are deeply engaged in their own care. Using the motivational interviewing technique, care managers work with patients to identify personal care goals and motivators to follow the care management program.
Ten strategies guide the motivational interviewing process, each focusing on patient-centered insights (e.g., pros and cons to following care management and barriers to adherence). With mobile technology to support these interactions, motivational interviewing can become a seamless, and vital, part of the care management workflow.
3 Perspectives to Better Apply Predictive & Prescriptive Models in HealthcareHealth Catalyst
In healthcare we tend to think of predictive or prescriptive model building and deployment as technical challenges. We do not put enough emphasis on the importance of change management. This disorientation leads to uneven adoption and results. In this webinar Jason Jones discusses and demonstrates three perspectives, accompanied by tools, to help you drive action and deliver better outcomes.
We develop predictive and prescriptive models in healthcare to improve Quadruple Aim outcomes—population health, patient experience, reduced cost, and positive provider work life. Successful adoption of predictive and prescriptive models heavily depends upon behavior change. This requires more than technical accuracy. While prediction algorithms abound, tools to facilitate change management remain scarce. During this webinar, we will discuss how to achieve model understanding using three perspectives: functional, contextual, and operational.
View the webinar to learn:
- Why a predictive or prescriptive model endeavor is more a change management challenge than a technical one
- How to apply three types of model understanding to a use case in your own organization
In this webinar, Jason Jones, PhD, Chief Data Scientist at Health Catalyst discusses and provides examples of our work using three perspectives of understanding to help clinical and operational leaders achieve value from predictive and prescriptive models. Investing time and effort to ensure model understanding is necessary for broad scale adoption.
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...Health Catalyst
Each year 1.7 million Americans are diagnosed with sepsis, resulting in 270,000 deaths, according to the Centers for Disease Control and Prevention. That’s one death every two minutes, making sepsis the leading cause of death in U.S. hospitals. The financial toll is also high, with the average cost per sepsis stay over $18,000. Sepsis is the number one cause of both initial hospitalizations and readmissions.
Nearly all sepsis deaths are preventable. Community outreach, focused attention on the emergency department, and effective technology and processes to monitor patients already admitted can reduce sepsis mortality. Making a goal of “zero sepsis deaths” a reality is a personal and professional passion of Armando Nahum, a patient activist and co-founder and President of the Safe Care Campaign, and Kathleen Merkley, DNP, ANP, FNP, Senior Vice President of Professional Services at Health Catalyst.
Nahum and Merkley share stories and practical steps to drastically reduce the sepsis toll. Michael L. Millenson, Senior Advisor to Health Catalyst, patient safety expert, and long-time advocate of safer, higher-quality, more patient-centered care, facilitates the dialogue.
What You’ll Learn
- How to implement community outreach to facilitate timely sepsis recognition and seeking of care.
- How to organize emergency department processes for prompt sepsis recognition and treatment.
- How to ensure prompt sepsis recognition and treatment in the inpatient environment.
- How to avoid sepsis readmissions.
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...Health Catalyst
One of the biggest challenges health systems have faced since the onset of COVID-19 is the disruption to routine care. These care disruptions, such as halted routine checkups and primary care visits, place some patients at a higher risk for adverse outcomes. Health systems can rely on data science, based on past care disruption, to identify vulnerable patients and the short- and long-term effects these care disruptions could have on their health. Data science can also inform the care team which care disruptions to address first. With comprehensive information about care disruption on patients, health systems can apply the right interventions before it’s too late.
The Analytic System: Finding Patterns in the DataHealth Catalyst
Dr. Haughom set the stage for this upcoming discussion in his previous webinar, explaining the key components of an effective analytical system that enables self-exploration and learning. In this session Attendees will learn:
How the distinction between random variation and assignable cause variation is critically important to patient care
Creation and application of Statistical Process Control (SPC) charts to:
Monitor process variation over time
Differentiate between assignable cause and random cause variation
Assess effectiveness of change on a given process
Achieve and maintain process stability
How implementing inlier management and creating a collaborative environment will drive continuous improvement
How to identify patterns in data using a live demonstration of advanced analytical tools.
Care Management Part 2 - A Critical Component of Effective Population HealthHealth Catalyst
Care management plays a central role in the world of value-based reimbursements, at-risk contracts, and population health management. Such programs require high-touch and resource-intensive care as teams work to deliver on the substantial promise of delivering patient care improvements while reducing costs.
Three Strategies to Deliver Patient-Centered Care in the Next NormalHealth Catalyst
Juggling financial demands, uncertain healthcare legislation, and COVID-19 can distract healthcare leaders from the most important aspect of care—patients. Delivering patient-centered care in this volatile market can be challenging, especially when traditional healthcare methods (e.g., in-person visits) are on hold. These sudden disruptions to routine care have highlighted the importance of keeping patients at the center of care, whether care delivery is in-person or virtual. Health systems can manage competing priorities, adjust to pandemic-induced changes, and deliver patient-centered care by focusing on three strategies:
Improve the patient experience.
Implement the Meaningful Measures Initiative.
Transition in-person visits to virtual.
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?Health Catalyst
Debating between building vs. buying your organization’s healthcare data warehouse? This presentation will explore the technical and organizational pros and cons of building vs. buying, as well as a third approach you may not have even considered.
Three Cost-Saving Strategies to Reduce Healthcare SpendingHealth Catalyst
Health systems continue to face fiscal challenges and burdens due to changing reimbursement rates, COVID-19, and managing the aftermath of care disruptions from the pandemic. Operating on thin margins with limited resources means health systems need to adopt alternative cost-saving measures to maximize limited resources.
Comprehensive, reliable data increases visibility into expenses across the care continuum so that leaders can leverage new methods to save money, generate income, and accelerate cashflow to keep patients healthy and hospital doors open. With access to recent data, health systems can focus on three cost-saving strategies:
Increase physician engagement.
Predict propensity to pay.
Implement evidence-based standards of care.
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...Health Catalyst
Unlike the standard post-event reporting process, the Patient Safety Monitor Suite: Surveillance Module is a trigger-based surveillance system, enabled by the unique industry-first technological capabilities of the Health Catalyst Data Operating System platform, including predictive analytic models and AI. Additionally, once listed, the Health Catalyst PSO will create a secure and safe environment where clients can collect and analyze patient safety events to learn and improve, free from fear of litigation. Coupled with patient safety services, an organization’s active all-cause harm patient safety system is fully enabled to deliver measurable and meaningful improvements.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Health Catalyst
Dale Sanders provides an update on the Healthcare Analytics Adoption Model. Dale published the first version of this model in 2002, calling it the Analytics Capability Maturity Model. The three intentions at that time are the same as they are today: 1) Provide healthcare leaders with a clear roadmap for the progression of analytic maturity in their organization. 2) Provide vendors with a roadmap to meet the analytic needs of clients. 3) Create a common framework to benchmark the progressive adoption of analytics at the industry level.
In 2012, Dale co-published a new version of the Model with Dr. Denis Protti, rebranding it the Healthcare Analytics Adoption Model and purposely borrowing from the widespread adoption of the EMR Adoption Model (EMRAM) published and supported by HIMSS. In 2015, Dale transferred the model under a creative commons copyright to HIMSS to create a vendor-independent industry standard that is now widely applied to support the original three intentions. He continues to collaborate with HIMSS to progress the Model.
During this webinar, Dale:
-Reviews the current state of the Health Catalyst Model, including recent changes that advocate a ninth level—direct-to-patient analytics and AI.
-Shares his observations of maturity in the market.
-Provides an update on the current state of the HIMSS Adoption Model for Analytic Maturity.
Achieving Stakeholder Engagement: A Population Health Management ImperativeHealth Catalyst
To succeed in population health management (PHM), organizations must overcome barriers including information silos and limited resources. Due to the systemwide nature of these challenges, widespread stakeholder engagement is an imperative in population-based improvement.
An effective PHM stakeholder engagement strategy incorporates the following:
Includes as many stakeholders as possible at the beginning of the journey.
Meets the unique analytics and reporting needs of the organization.
Enables users to measure, and therefore manage, PHM outcomes.
Provides the real-time analytics value-based care requires.
In today’s healthcare market, financial challenges rank as the number one issue hospitals face. To maintain a margin to support their mission, hospital CEOs must always be on the lookout for opportunities to boost revenue through improved reimbursement. In this webinar, Thibodaux Regional Medical Center’s Greg Stock, president and chief executive officer, and Mikki Fazzio, director, HIM and clinical documentation improvement, as they share how Thibodaux Regional leveraged analytics to provide actionable feedback to continuously improve the process, and how you can too.
Managing ‘discharged not final billed’ (DNFB) cases is one important way hospitals can improve financial performance by increasing collection on bills with incomplete payment due to coding or documentation gaps. Historically, Thibodaux Regional’s DNFB caseload had reached 500 cases per month, with about a third of patients discharged without a completed bill due either to missing documentation or incomplete coding. Thibodaux Regional tackled this process problem by expanding the use of analytics to measure and track every aspect of their billing services. The results were impressive and sustainable. Three years after launching its initial DNFB redesign effort, Thibodaux Regional has realized $2.4M in additional annual reimbursement and a 61% relative reduction in DNFB dollars, as well as a 6.2 reduction in AR days, resulting in significantly improved cash flow.
View this webinar to learn how to:
- Increase reimbursement levels by optimizing workflow analytics
- Ease the documentation burden on overloaded physicians with time-efficient communication
- Provide critical analytics visibility to key stakeholders
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOsHealth Catalyst
While many organizations use patient registries from EMRs to determine their patient population, there is a better way. Using GIS location technology, a health system can identify its care population based on geography and drive times. Health Catalyst uses Dartmouth Atlas hospital referral regions, a hierarchy of facility levels with appropriate drive time isochrones, and medical specialties-based central place theory to develop a more comprehensive view of a health system’s minimum bounding geometry. Using this method, ACOs derive a better understanding of their enrolled patients and eligible payer groups resulting a better basis for strategy and decision making.
The Doctor’s Orders for Engaging Physicians to Drive ImprovementsHealth Catalyst
Physicians drive the majority of all quality and cost decisions, yet reimbursement pressures, competing time pressures, misaligned incentives, and a lack of credible data often make engaging clinicians in improvement work one of the biggest challenges in healthcare.
David Wild, MD, MBA, and Jack Beal, JD, explore how to spread data to the edges of the organization and engage physicians in leading a continuum of improvement across an entire organization.
During this webinar, our presenters:
• Identify the levels of physician leadership in your organization you can engage to drive improvement.
• Pinpoint the types of data and information of most interest to physician leaders.
• Propose several ways data to use data to engage physicians in leading improvement work.
• Help you develop at least one mechanism you can use to better engage physicians in improvement work at your organization.
Improving Quality Measures Can Lead to Better OutcomesHealth Catalyst
Current quality measures are expensive and time consuming to report, and they don’t necessarily improve care. Many health systems are looking for better ways to measure the quality of their care, and they are using data analytics to achieve this goal. Data analytics can be helpful with quality improvement. There are four key considerations to evaluate quality measures:
Organizations must develop measures that are more clinically relevant and better represent the care provided.
Clinician buy-in is critical. Without it, quality improvement initiatives are less likely to succeed.
Investment in tools and effort surrounding improvement work must increase. Tools should include data analytics.
Measure improvement must translate to improvement in the care being measured.
When the right measures are in place to drive healthcare improvement, patient care and outcomes can and do improve.
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealth Catalyst
Author Douglas Laney is now tackling the topic of Infonomics: the practice of information economics. In his 2017 book, Infonomics: How to Monetize, Manage, and Measure Information as an asset for competitive advantage, Laney provides detailed rationale as well as a thoughtful framework for treating information as a modern-day organization’s most valuable asset.
This article walks through how healthcare organizations can leverage data to its full potential using this framework and the three principles of infonomics:
Measure - How much data does the organization have? What is it worth?
Manage - What data does the organization have? Where is it stored?
Monetize - How does the organization use data?
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...Health Catalyst
Under a precision medicine approach, clinicians, academics, and pharma and biotech researchers and regulators aim to deliver the right drug for the right patient at the right time. Data, however, can present a challenge to precision medicine goals due to gaps in clinical care, research, and drug development when organizations don’t have the ability to capture and report on relevant real-world data. With the right systems to collect and share clinical and molecular data, the healthcare industry can realize the full benefits of precision medicine.
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...Health Catalyst
Care management programs are most successful when patients are deeply engaged in their own care. Using the motivational interviewing technique, care managers work with patients to identify personal care goals and motivators to follow the care management program.
Ten strategies guide the motivational interviewing process, each focusing on patient-centered insights (e.g., pros and cons to following care management and barriers to adherence). With mobile technology to support these interactions, motivational interviewing can become a seamless, and vital, part of the care management workflow.
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...Health Catalyst
Crystal Run Healthcare — a physician-led Accountable Care Organization (ACO) and one of the first ACOs to participate in the Medicare Shared Savings Program — is experiencing the long-anticipated shift toward more value-based reimbursement.
To ensure financial stability as they assume more risk, Crystal Run is implementing a strategy focused on rapid growth and aligning physician reimbursement with favorable patient outcomes. To effectively execute on this strategy they knew they needed to become more data-driven. Webinar attendees will learn how this ACO is using advanced analytics to execute on their population management and growth strategies with a focus on continuous improvement in the following areas:
Ensuring patient care aligns with evidence based practices
Reducing inappropriate clinical variation
Enhancing operational efficiency
Analyzing data from a “single source of truth” integrated from their EMR, billing, costing, patient satisfaction and other operational systems
Making “self-service analytics” available to decision-makers to decrease time to decision
Please join Greg Spencer, MD, Chief Medical & Chief Medical Information Officer and Scott Hines, MD, Chief Quality Officer and Medical Specialties Medical Director, Crystal Run, as they discuss how advanced analytics is helping position the ACO for continued success in an increasingly value-based reimbursement environment.
Health IT has a Big Data opportunity with HL7 analytics. Learn about what is possible from Wes Wright, CIO at Seattle Children's Hospital, and Erik Giesa, SVP of Marketing and Business Development at ExtraHop.
How to Evaluate a Clinical Analytics Vendor: A ChecklistHealth Catalyst
Based on 25 years of healthcare IT experience, Dale outlines a detailed set of criteria for evaluating clinical analytic vendors. These criteria include 1) completeness of vision, 2) culture and values of senior leadership, 3) ability to execute, 4) technology adaptability and supportability, 5) total cost of ownership, 6) company viability, and 7) nine elements of technical specificity including data modeling, master data management, metadata, white space data, visualization, security, ETL, performance and utilization metrics, hardware and software infrastructure.
Healthcare Analytics Adoption Model -- UpdatedHealth Catalyst
The Healthcare Analytics Adoption Model is the result of a collaboration of healthcare industry veterans over the last 15 years. The model borrows lessons learned from the HIMSS EMR Adoption Model, and describes an analogous approach for assessing the adoption of analytics in healthcare.
The Healthcare Analytics Adoption Model provides:
1) A framework for evaluating the industry’s adoption of analytics
2) A roadmap for organizations to measure their own progress toward analytic adoption
3) A framework for evaluating vendor products
This Analytics Adoption Model will enable healthcare organizations to fully understand and leverage the capabilities of analytics and so achieve the ultimate goal that has eluded most provider organizations – that of improving the quality of care while lowering costs and enhancing clinician and patient satisfaction.
Predictive Analytics: Context and Use Cases
Historical context for successful implementation of predictive analytic techniques and examples of implementation of successful use cases.
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...Health Catalyst
According to the Centers of Disease Control (CDC), an estimated 70,000 patients die each year from hospital-associated infections (HAIs): contrast the CDC statistic with the fact that only 35,000 people die each year in the U.S. from motor vehicle accidents. Learn key best practices in patient safety and quality including: patient safety as a team sport, the added challenges of healthcare being the most complex, adaptive system, and how culture, analytics, and content contribute to improve outcomes and lower costs.
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT.
Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
Health system leaders have questions about big data: When will I need it? How should I prepare? What’s the best way to use it? It’s important to separate the hype of big data from the reality. Where big data stands in healthcare today is a far cry from where it will be in the future. Right now, the best use cases are in academic- or research-focused healthcare institutions. Most healthcare organizations are still tackling issues with their transactional databases and learning how to use those databases effectively. But soon—once the issues of expertise and security have been addressed—big data will play a huge role in care management, predictive analytics, prescriptive analytics, and genomics for everyday patients. The transition to big data will be easier if health systems adopt a late-binding approach to the data now.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR IntegrationRahlyn Gossen
These slides are from the April 2, 2015 meeting of Health 2.0 New Orleans with special guest Jonathan Wilt, the Assistant Vice President of the Center for Innovation at Ochsner Health System. Jonathan spoke about Ochsner's Health System's integration of Apple HealthKit with the Epic EMR.
Audio is here: http://www.youtube.com/watch?v=UsSKui7m4VY
HealthCursor Consulting Group India- Mobile Health is going to be a 3000 crore market in India by 2017. (Source PwC). M-health (use of mobile phones) and E-health are all set to make an entry into India's primary health centres (PHCs) and sub-centres as the health ministry plans to go hi-tech. Healthcare industry is expected to show a strong growth of 23% per annum to become a US$ 77 billion industry by 2012. One of the largest sector in terms of revenue and employment has grown at 9.3% per annum between 2000-2009 with a current size at par with fastest growing developing country like China, Brazil and Mexico.Driven by various catalysts such as increasing population, rising income levels, changing demographics and illness profile with a shift from chronic to life style diseases, healthcare industry is expected to move to levels of US$ 77 billion in next 3 years. (Source: ASSOCHAM).
Empowering rural India is of utmost importance and the government needs to do so by provisioning for broadband penetration and financial inclusion. Access to quality health care is another key to achieving rural empowerment. The budget for this segment was raised marginally last year and it would be good to have an allocation for rural health care programs with provisions for technology that would help modernize this sector to expand its reach through remote healthcare solutions and telemedicine.
Furthermore, the government announced a big budget campaign 'Swabhimaan' in the budget last year to promote banking and provide services to about 20,000 villages. In order to meet this goal, the budget this year too would need to make provisions accordingly. The steering committee on health said that in the 12th plan (2012-17), all district hospitals would be linked to leading tertiary care centres through telemedicine, Skype and similar audio visual media. M-health will be used to speed up transmission of data. Disease surveillance will be put on a GIS platform.
Disease surveillance based on reporting by providers and clinical laboratories (public and private) to detect and act on disease outbreaks and epidemics would be an integral component of the system.India will also put in place a Citizen Health Information System (CHIS) - a biometric based health information system which will constantly update health record of every citizen-family. The system will incorporate registration of births, deaths and cause of death. Maternal and infant death reviews, nutrition surveillance, particularly among under-six children andwomen, service delivery in the public health system, hospital information service besides improving access of public to their own health information and medical records would be the primary function of the CHIS.
Economies of Indian states can grow 1.08 per cent faster with every 10 per cent increase in Internet and broadband connections.
Data drives company outcomes - employers agree analytics are a key factor in strategic planning. Customizing wellness solutions that has turned science fiction into science. Employees biometrics and genomics - sequencing the genome - drives choosing individualized wellness coaching. Health solutions - providing a path of sustainability and adherence - scientific, engaging, redefining individualized - And we make it affordable. Employee health programs - what a wonderful way to build healthier communities - establish lifestyle habits creating a healthier future for our children. We can manage & prevent chronic illnesses - saving lives and money - investing the money for happier, bigger, better futures.
OSU Medical Center CEO Steven Gabbe, MD delivers a talk on facilitating learning healthcare systems: Focus on approaches to leverage Health IT investments for advancements in research and personalized healthcare and learning from every patient.
This session will focus on the usages of HIT to learn from every patient so that this knowledge can be used to further the practice of medicine. The discussion will address the implications for research, privacy, and HIT to change the paradigm of advancing healthcare discoveries so that it is a continuous process driven through every patient interaction.
Quality Data is Essential for Doctors Concerned with Patient EngagementHealth Catalyst
It might be a bit of a leap to associate quality data with improving the patient experience. But the pathway is apparent when you consider that physicians need data to track patient diagnoses, treatments, progress, and outcomes. The data must be high quality (easily accessible, standardized, comprehensive) so it simplifies, rather than complicates, the physician’s job. This becomes even more important in the pursuit of population health, as care teams need to easily identify at-risk patients in need of preventive or follow-up care. Patients engaged in their own care via portals and personal peripherals contribute to the volume and quality of data and feel empowered in the process. This physician and patient engagement leads to improved care and outcomes, and, ultimately, an improved patient experience.
March 2001I N S T I T U T E O F M E D I C I N E Shap.docxwkyra78
March 2001
I N S T I T U T E O F M E D I C I N E
Shaping the Future for Health
CROSSING THE QUALITY CHASM:
A NEW HEALTH SYSTEM FOR THE 21ST CENTURY
The U.S. health care delivery system does not provide consistent, high-quality medical care to all people. Americans should be able to count on receiving care that meets their needs and is based on the best scien
tific knowledge--yet there is strong evidence that this frequently is not the
case. Health care harms patients too frequently and routinely fails to deliver
its potential benefits. Indeed, between the health care that we now have and
the health care that we could have lies not just a gap, but a chasm.
A number of factors have combined to create this chasm. Medical sci
ence and technology have advanced at an unprecedented rate during the past
half-century. In tandem has come growing complexity of health care, which
today is characterized by more to know, more to do, more to manage, more to
watch, and more people involved than ever before. Faced with such rapid
changes, the nation’s health care delivery system has fallen far short in its
ability to translate knowledge into practice and to apply new technology
safely and appropriately. And if the system cannot consistently deliver to-
day’s science and technology, it is even less prepared to respond to the ex
traordinary advances that surely will emerge during the coming decades.
The public’s health care needs have changed as well. Americans are
living longer, due at least in part to advances in medical science and techno l
ogy, and with this aging population comes an increase in the incidence and
prevalence of chronic conditions. Such conditions, including heart disease,
diabetes, and asthma, are now the leading cause of illness, disability, and
death. But today’s health system remains overly devoted to dealing with
acute, episodic care needs. There is a dearth of clinical programs with the
multidisciplinary infrastructure required to provide the full complement of
services needed by people with common chronic conditions.
The health care delivery system also is poorly organized to meet the
challenges at hand. The delivery of care often is overly complex and uncoor
dinated, requiring steps and patient “handoffs” that slow down care and de-
crease rather than improve safety. These cumbersome processes waste re-
sources; leave unaccountable voids in coverage; lead to loss of information;
Faced with such
rapid changes, the
nation’s health care
delivery system has
fallen far short in its
ability to translate
knowledge into
practice and to ap
ply new technology
safely and appro
priately.
CARE SYSTEM
Supportive
payment and
regulatory en
vironment
Organizations
that facilitate
the work of
patient-
centered teams
High perform
ing patient-
centered teams
Outcomes:
• Safe
• Effective
• Efficient
• Personalized
• Timely
• Equitable
REDESIGN IMPERATIVES: SIX CHALLENGES
• Reeng.
Precise Patient Registries: The Foundation for Clinical Research & Population...Health Catalyst
Join Dale Sanders as he shares his experience in developing disease registries, the history of patient registries, and the current design patterns in data engineering to create highly precise registries to support clinical research and population health management.
Topics:
*How the definition of the term “patient registry" has evolved from being associated with a federal- or state-mandated reporting requirement to a hospital or health system’s own population of patients, including device registries, drug registries, and procedure registries.
*Why engaging certain populations via group registries allows them to better understand their conditions and reach out for support from others who share their condition.
*Several untapped benefits of registries for disease and quality management.
*When to utilize patient registries to guide decision-making and drive change, especially at the point of care.
*Which of the critical steps to building a disease registry is most important.
*The keys to winning organizational support in order to implement a successful registry initiative.
*Precise patient registries play a significant role in the management of a broad variety of healthcare processes, including chronic diseases and conditions, as well as clinical research.
Understanding how registries are currently built vs. how they should be built is critical to the future of healthcare outcomes improvement, cost reduction, and translational research.
An ACO Case Study: Quality Improvement in HealthcareHealth Catalyst
OSF HealthCare—one of the first Pioneer Accountable Care Organizations (ACOs)—has a strong history of providing outstanding quality improvement in healthcare within hospitals, clinics, home health and other health provider entities across Illinois. For ACOs to succeed under value-based care, it is critical that organizations effectively coordinate care in the effort to maximize quality and safety, while minimizing costs and waste. It is also imperative that ACOs understand patients’ needs and values and incorporate them into all health decisions.
Please join Leslie Falk, Health Catalyst and the OSF team—recipient of the 2014 Illinois Hospital Association (IHA) Institute for Innovations in Care and Quality’s first annual Tim Philipp Award for Excellence in Palliative and End-of-Life Care—as they discuss how they leveraged technology and data to launch a community-wide supportive care initiative that has successfully maximized value for the populations they serve.
Attendees of the webinar will:
Learn how OSF is improving healthcare quality and delivering on the Triple Aim.
Explore innovative ways to improve care coordination.
Discover how technology-enabled solutions drives community, patient, and physician engagement.
Understand the benefit of a team approach to improving care coordination.
Five Data-driven Patient Empowerment StrategiesHealth Catalyst
Data plays a big role toward empowering patients to become more involved in their care. With data, digital tools, and education, patient empowerment can act like a blockbuster drug to produce exceptional outcomes.
Data empowers patients five ways:
Promotes patient engagement.
Produces patient-centered outcomes.
Helps patients practice self-care.
Improves communication with clinicians.
Leads to faster healing and independence.
Clinicians using creative, innovative care strategies, and patients with access to the right tools and technology, can produce remarkable results in terms of cost, health outcomes, and experience.
Six Ways Health Systems Use Analytics to Improve Patient SafetyHealth Catalyst
With preventable patient harm associated with over 400,000 deaths in the U.S. annually, improving safety is a top priority for healthcare organizations. To reduce risks for hospitalized patients, health systems are using patient safety analytics and trigger-based surveillance tools to better understand and recognize the types of harm occurring at their facilities and intervene as early as possible.
Six examples of analytics-driven patient safety success cover improvement in the following areas:
Wrong-patient order errors.
Blood management.
Clostridioides difficile (C. diff).
Opioid dependence.
Event reporting.
Sepsis.
Edwina Rogers, executive director of Patient-Centered Primary Care Collaborative, began her presentation by highlighting the movement to advance medical homes.
With the U.S. being the number one in the world for the cost of healthcare and ranked number 37 in the quality category, something needs to change. Rogers discussed the broad stakeholder support and participation for the movement, as well as the incredible volunteer involvement. The four ‘centers’ include: the Center to Promote Public-Payer Implementation, the Center for Multi-Stakeholder Demonstration, the Center for eHealth Information Adoption and Exchange and the Center for Health Benefit Redesign and Implementation. Medical Homes will provide superb access to care, patient engagament in care, clinical information systems, care coordination, team care, patient feedback and publically available information.
Edwards explained that the Obama administration believes the medical homes concept is the best way to approach healthcare reform. The U.S. House of Representatives has showed great support for the movement and is helping develop and allocate funds for a five-year pilot program. She expressed her enthusiasm for the movement and her prediction that the medical home model is certainly the future of health care.
A complete version of Rogers’ presentation on the Patient-Centered Primary Care Collaborative is available online.
[Medisetter] We Help Your Employees Manage Their Health BetterThuyNguyen1219
Medisetter provides high quality healthcare access solutions to the employees, which directly helps companies boost productivity and cut costs at the same time. Watch the presentation and learn more about how improving employees' access to high quality healthcare can positively impact companies' bottom line.
Similar to Improving Clinical and Operational Outcomes by Leveraging Healthcare Data Analytics at the Point of Care (20)
Designing Impactful Services and User Experience - Lim Wee KheeNUS-ISS
In this engaging talk, we explore crafting impactful user-centric services, revealing the design principles that drive exceptional experiences. From empathetic customer journeys to innovative interfaces, learn how design can create meaningful connections, inspiring you to revolutionise your approach and drive lasting change in user satisfaction and brand success.
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...NUS-ISS
In today's digital age, the key to true transformation lies in our people. This talk will highlight the importance of digital fluency, emphasizing that everyone in an organization is now a digital professional. By synergizing the fundamental digital skills ranging from an agile mindset to making data-informed decisions and design thinking, we will discuss how a digitally skilled workforce can propel organizations to drive digital transformation with new heights of value creation. Though widespread workforce upskilling presents its challenges, this talk offers innovative organizational learning approaches that may pave the way to success. Join us to find out how to shape the future of your organization where success is defined not just by technology but by a workforce fully equipped with digital competencies, ready to take on whatever the future holds.
How the World's Leading Independent Automotive Distributor is Reinventing Its...NUS-ISS
In this captivating session, we'll unveil the profound impact of AI, poised to revolutionise the business landscape. Prepare to shift your perspective, as we transition from the lens of a data scientist to the visionary mindset of a product manager. We're about to demystify the captivating world of Generative AI, dispelling myths and illuminating its remarkable potential. We will also delve into the pioneering applications that Inchcape is leading, pushing the boundaries of what's achievable. Join us for an exhilarating journey into the future of AI, where professionalism meets unparalleled excitement, and innovation takes center stage!
The Importance of Cybersecurity for Digital TransformationNUS-ISS
In the rapidly evolving landscape of digital transformation, the importance of cybersecurity cannot be overstated. As organizations embrace digital technologies to enhance their operations, innovate, and connect with customers in new and dynamic ways, they simultaneously become more vulnerable to cyber threats.
This talk will discuss the importance of having a well thought through approach in dealing with cybersecurity in the form of a strategy that lays out the various programmes and initiatives that will underpin a secure and resilient digital transformation journey. Not surprisingly, having a pool of well-trained cybersecurity personnel is one of the key ingredient in a cyber strategy as exemplified in Singapore's own national cybersecurity strategy.
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...NUS-ISS
Join us for a deep dive into the art of architecting Customer Experience (CX) measurement frameworks and ensuring that CX metrics are precisely tailored for their intended purpose. In this engaging session, you'll walk away with actionable insights and a tangible plan for refining your measurement strategies. Discover how to craft CX measurement frameworks that align seamlessly with your business objectives, ensuring that your metrics deliver meaningful and robust insights. Whether you're seeking to enhance customer satisfaction, optimise processes, or drive innovation, this session will provide you with potential approaches and practical steps to bolster the effectiveness and relevance of your CX metrics. It's your blueprint for creating a customer-centric roadmap to success.
Understanding GenAI/LLM and What is Google Offering - Felix GohNUS-ISS
With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng TszeNUS-ISS
Enterprises striving to unlock value through digital products face a pivotal shift towards product-centric management, a transformation that carries its share of challenges. To navigate this journey successfully, close collaboration between Enterprise Architects and Digital Product Managers is essential. Together, they can craft the ideal strategy to deliver digital products on a grand scale. Join us in this session as we shed light on the critical interactions and activities that foster synergy between Enterprise Architects and Digital Product Managers. Discover how this collaboration paves the way for effective product-centric management, enabling enterprises to harness the full potential of their digital offerings.
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...NUS-ISS
We find ourselves in an era of exponential growth and transformation. The relentless pace of technological advancement is reshaping our world at a rate never seen before, making it increasingly challenging to stay abreast of these rapid developments. Join us for an insightful talk where we embark on a journey to explore the most significant technology trends set to unfold over the next decade. These trends promise to be nothing short of seismic, with the power to reshape every facet of our lives, from the way we work and learn to how we forge relationships and structure our society. Prepare to be enlightened as we delve into a future where the very fabric of our existence is on the brink of transformation. This talk is your compass to navigate the uncharted territory of tomorrow's world, and it's an opportunity you won't want to miss.
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...NUS-ISS
The hottest topic in the tech world right now is generative AI. In this session, we go beyond the hype to delve into honest answers about how generative AI is impacting the future of work. This is an important topic for all digital leaders to have a thorough understanding of when driving digital transformation.
Supply Chain Security for Containerised Workloads - Lee Chuk MunnNUS-ISS
Containers have emerged as an indispensable component of modern cloud-native applications, serving diverse roles from development environments to application distribution and deployment on platforms like Azure's App Service and Kubernetes. In this presentation, we will delve into a suite of powerful tools designed to ensure the adoption of best practices in container management. You'll gain insights into how to scan container images rigorously, identifying and mitigating vulnerabilities effectively. We'll also explore the art of generating comprehensive software bill of materials (SBOM) for your containers and the significance of signing container images for enhanced security. The ultimate goal of this presentation is to empower you with the knowledge and skills necessary to seamlessly integrate these tools and practices into your CI (Continuous Integration) pipelines. By the end of this session, you'll be well-equipped to fortify your container workflows, delivering secure and robust cloud-native applications that thrive in today's dynamic digital landscape.
The future is always uncertain. To be truly future-ready, companies need the ability to quickly learn and adapt and to foster a culture of continuous curiosity and experimentation. But how can we facilitate rapid learning throughout the organisation? What will the future of learning look like for you? How can we ensure our organisations become engines of growth through learning?
The future is always uncertain. To be truly future-ready, companies need the ability to quickly learn and adapt and to foster a culture of continuous curiosity and experimentation. But how can we facilitate rapid learning throughout the organisation? What will the future of learning look like for you? How can we ensure our organisations become engines of growth through learning?
Site Reliability Engineer (SRE), We Keep The Lights On 24/7NUS-ISS
There are many phases in the software development cycle, from requirements to development and testing, but at the tail of the process, is an often overlooked aspect: deployment and delivery. With the paradigm shift of delivering on-site software to offering software-as-a-service, Site Reliability Engineering is beginning to take a greater role in product delivery.
This session aims to give a glimpse of the work that goes into site reliability engineering (SRE) and effort that goes into keeping a service going 24/7.
Product Management in The Trenches for a Cloud ServiceNUS-ISS
More often than not, people’s perception of Product Management is usually centred around the definition, management and prioritisation of software features and functionality. While that is largely true, it is also one of many things that a Product Manager needs to focus on, given limited time and resources.
This session aims to provide an unfiltered view of how Product Management looks like in the context of Enterprise Cloud Applications development, the challenges confronting Product Managers, and the tradeoff decisions to be made in order to overcome these challenges.
All this, while shipping a working product with each release that will surprise and delight the end user.
Overview of Data and Analytics Essentials and FoundationsNUS-ISS
As companies increasingly integrate data across functions, the boundaries between marketing, sales and operations have been blurring. This allows them to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically. Transitioning from static analytics outputs to more dynamic contextualized insights means analytics can be delivered with increased relevance closer to the point of decision.
This talk will cover the analytics journey from descriptive, predictive and prescriptive analytics to derive actionable and timely insights to improve customer experience to drive marketing, salesforce and operations excellence.
With the use of Predictive Analytics, companies are able to predict future trends based on existing available data. The actionable business predictions can help companies achieve cost savings, higher revenue, better resource allocation and efficiency. Predictive analytics has been used in various sectors such as banking & finance, sales & marketing, logistics, retail, healthcare, F&B, etc. for various purposes.
Get set to learn more about the different stages of predictive analytics modelling such as data collection & preparation, model development & evaluation metrics, and model deployment considerations will be discussed.
In this digital transformation era, we have seen the rise of digital platforms and increased usages of devices particularly in the area of wearables and the Internet of Things (IoT). Given the fast pace change to the IoT landscape and devices, data has become one of the important source of truth for analytics and continuous streaming of data from sensors have also emerged as one of the fuel that revolutionise the emergence of IoT. These includes health telematics, vehicle telematics, predictive maintenance of equipment, manufacturing quality management, consumer behaviour, and more. With this, we will give you an introduction on how to leverage the power of data science and machine learning to understand and explore feature engineering of IoT and sensor data.
Diagnosing Complex Problems Using System ArchetypesNUS-ISS
In today’s VUCA world, we are faced with problems coming in fast and furious. In order to resolve such problems quickly, we need to first understand the problems. One of the techniques to understand complex problem is through the use of system archetypes. System archetypes are patterns of behaviour of a system. Let’s us explore some of the system archetypes in this session as well as tips on how to resolve them.
Navigating the Health Insurance Market_ Understanding Trends and Options.pdfEnterprise Wired
From navigating policy options to staying informed about industry trends, this comprehensive guide explores everything you need to know about the health insurance market.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Welcome to Secret Tantric, London’s finest VIP Massage agency. Since we first opened our doors, we have provided the ultimate erotic massage experience to innumerable clients, each one searching for the very best sensual massage in London. We come by this reputation honestly with a dynamic team of the city’s most beautiful masseuses.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.