The Imperative of Linking Clinical and Financial Data to Improve Outcomes - H...Health Catalyst
Quality and cost improvements require the intelligent use of financial and clinical data coupled with education for multi-disciplinary teams who are driving process improvements. Once a data warehouse is established, healthcare organizations need to set up multi-disciplinary clinical, financial, and IT specialist teams to make the best use of the data. Sometimes, financial involvement is minimized or even excluded for a number of reasons that can turn out to be counterproductive. However, including financial measurements and participation up front can help enhance the recognized value and sustainability of quality improvement or waste reduction efforts. the In this session you will learn keys to success and real-life examples of linking clinical, financial and patient satisfaction data via multi-disciplinary teams that produce impressive results.
Big data approaches to healthcare systemsShubham Jain
The idea behind this presentation is to explore how big data will revolutionize existing healthcare system effectively by reducing healthcare concerns such as the selection of appropriate treatment paths, quality of healthcare systems and so on. Large amount of unstructured data is available in various organizations (payers, providers, pharmaceuticals). We will discuss all the intricacies involved in massive datasets of healthcare systems and how combination of VPH technologies and big data resulted into some mind-boggling consequences. Major opportunities in healthcare includes the integration of various data pools such as clinical data, pharmaceutical R&D data and patient behaviour and sentiment data. Finding potential insights from big data with the help of medical image processing techniques, predictive modelling etc. will eventually help us to leverage the ever-increasing costs of care, help providers practice more effective medicine, empower patients and caregivers, support fitness and preventive self-care, and to dream about more personalized medicine.
Why Health Systems Must Use Data Science to Improve OutcomesHealth Catalyst
In today’s improvement-driven healthcare environment, organizations must ensure that improvement measures help them reach desired outcomes and focus on the opportunities with optimal ROI. With data science-based analysis, health systems leverage machine learning to determine if improvement measures align with specific outcomes and avoid the risk and cost of carrying out interventions that are unlikely to support their goals.
There are four essential reasons that insights from data science help health systems implement and sustain improvement:
Measures aligned with desired outcomes drive improvement.
Improvement teams focus on processes they can impact.
Outcome-specific interventions might impact other outcomes.
Identifies opportunities with optimal ROI.
Enterprise systems in healthcare: leveraging what we know from other industr...CONFENIS 2012
Dr. Carol Brown - distinguished professor at Stevens Institute of Technology , The Howe School of Technology Management
enterprise systems in healthcare: leveraging what we know from other industries
The Future of Personalized Health Care: Predictive Analytics by @Rock_HealthRock Health
View the archived webinar here: https://www.youtube.com/watch?v=UJak41hIDWc
How can we use new and existing sources of data to deliver better, personalized care? Predictive analytics underlies what has always been conducted by doctors through their training, experience, and decision-making. Dozens of new digital products have hit the market and $1.9B has flowed into the space since 2011—but what does it take for an algorithm to accurately and reliably impact care?
Purchase the report here: https://gumroad.com/l/gzbzV
The Imperative of Linking Clinical and Financial Data to Improve Outcomes - H...Health Catalyst
Quality and cost improvements require the intelligent use of financial and clinical data coupled with education for multi-disciplinary teams who are driving process improvements. Once a data warehouse is established, healthcare organizations need to set up multi-disciplinary clinical, financial, and IT specialist teams to make the best use of the data. Sometimes, financial involvement is minimized or even excluded for a number of reasons that can turn out to be counterproductive. However, including financial measurements and participation up front can help enhance the recognized value and sustainability of quality improvement or waste reduction efforts. the In this session you will learn keys to success and real-life examples of linking clinical, financial and patient satisfaction data via multi-disciplinary teams that produce impressive results.
Big data approaches to healthcare systemsShubham Jain
The idea behind this presentation is to explore how big data will revolutionize existing healthcare system effectively by reducing healthcare concerns such as the selection of appropriate treatment paths, quality of healthcare systems and so on. Large amount of unstructured data is available in various organizations (payers, providers, pharmaceuticals). We will discuss all the intricacies involved in massive datasets of healthcare systems and how combination of VPH technologies and big data resulted into some mind-boggling consequences. Major opportunities in healthcare includes the integration of various data pools such as clinical data, pharmaceutical R&D data and patient behaviour and sentiment data. Finding potential insights from big data with the help of medical image processing techniques, predictive modelling etc. will eventually help us to leverage the ever-increasing costs of care, help providers practice more effective medicine, empower patients and caregivers, support fitness and preventive self-care, and to dream about more personalized medicine.
Why Health Systems Must Use Data Science to Improve OutcomesHealth Catalyst
In today’s improvement-driven healthcare environment, organizations must ensure that improvement measures help them reach desired outcomes and focus on the opportunities with optimal ROI. With data science-based analysis, health systems leverage machine learning to determine if improvement measures align with specific outcomes and avoid the risk and cost of carrying out interventions that are unlikely to support their goals.
There are four essential reasons that insights from data science help health systems implement and sustain improvement:
Measures aligned with desired outcomes drive improvement.
Improvement teams focus on processes they can impact.
Outcome-specific interventions might impact other outcomes.
Identifies opportunities with optimal ROI.
Enterprise systems in healthcare: leveraging what we know from other industr...CONFENIS 2012
Dr. Carol Brown - distinguished professor at Stevens Institute of Technology , The Howe School of Technology Management
enterprise systems in healthcare: leveraging what we know from other industries
The Future of Personalized Health Care: Predictive Analytics by @Rock_HealthRock Health
View the archived webinar here: https://www.youtube.com/watch?v=UJak41hIDWc
How can we use new and existing sources of data to deliver better, personalized care? Predictive analytics underlies what has always been conducted by doctors through their training, experience, and decision-making. Dozens of new digital products have hit the market and $1.9B has flowed into the space since 2011—but what does it take for an algorithm to accurately and reliably impact care?
Purchase the report here: https://gumroad.com/l/gzbzV
When the Promise of Prehabilitation Meets the Power of Healthcare AnalyticsHealth Catalyst
Patients who undergo surgery frequently follow a rehabilitation program afterwards to promote recovery. However, starting this program before the procedure may help further accelerate recovery time. Prehabilitation is defined as physical or lifestyle preparation that happens before surgery and is designed to help patients regain function in less time.
Improving Clinical and Operational Outcomes by Leveraging Healthcare Data Ana...NUS-ISS
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.
Held each year in Boston, Medical Informatics World connects more than 400 healthcare, biomedical science, health informatics, and IT leaders to navigate emerging trends and opportunities in the evolving industry. The event responds to the challenges in collaborating and maximizing the benefit of enabling technologies with inspiring plenary keynotes combined with focused expert-led presentations and discussions. Coverage includes population health management, predictive analytics, payer-provider-pharma data collaborations, patient care and engagement, mobile and wearable technologies, care delivery models, enterprise hospital information systems, clinical decision support, error and readmission reduction, and healthcare data security. The 2015 program features six conference tracks, two interactive dinner workshops and six plenary keynote presentations, providing attendees with the connections, tools and strategies for taking their research and care delivery to the next level. Learn more at http://www.medicalinformaticsworld.com
AI in Healthcare: Finding the Right Answers FasterHealth Catalyst
Health systems rely on data to make informed decisions—but only if that data leads to the right conclusion. Health systems often use common analytic methods to draw the wrong conclusions that lead to wasted resources and worse outcomes for patients. It is crucial for data leaders to lay the right data foundation before applying AI, select the best data visualization tool, and prepare to overcome five common roadblocks with AI in healthcare:
Predictive Analysis Before Diagnostic Analysis Leads to Correlation but Not Causation.
Change Management Isn’t Considered Part of the Process.
The Wrong Terms to Describe the Work.
Trying to Compensate for Low Data Literacy Resulting in Unclear Conclusions.
Lack of Agreement on Definitions Causes Confusion.
As AI provides more efficiency and power in healthcare, organizations still need a collaborative approach, deep understanding of data processes, and strong leadership to effect real change.
Healthcare Analytics: Right-Brain Advice in a Left-Brain WorldHealth Catalyst
U.S. healthcare is badly missing the soft, human side of healthcare analytics, especially as it impacts clinicians. How do we fix that? This webinar explores those ideas.
You won’t hear Dale talk about SQL, inner joins, outer joins, R, Python, logistic regression, random forest, or convolutional neural networks but instead, in this webinar he talks about the principles and philosophy of analytics.
For the most part, we’ve figured out the technology of analytics. That is all left-brain thinking—analytical, logical and methodical in nature—and it is literally getting easier every day with new data technology. But, in healthcare, we’re missing the right-brain thinking—creative and artistic in nature—that has almost nothing to do with technology but has everything to do with the human side of pursuing “data driven healthcare.”
Right-brain thinking is required for the oddities and shortcomings of healthcare data, and how to manage those shortcomings in the context of delivering data to the humans who we hope will consume it. The right-brain relates to the personality characteristics of the people who are leading your analytics strategy. It relates to the leadership culture of the organization and where that culture resides on a scale of transparency, internally and externally. The right-brain relates to behavioral economics, evolutionary psychology, human decision making theories, and the fundamental factors that motivate or demotivate human behavior. The right-brain relates to concepts like experimental design and PICO—patients, interventions, comparisons, and outcomes—that, if followed, can make your analytics more truthful and believable. It has to do with the way we negotiate and structure performance-based contracts that are loaded with quality metrics that either measure things that can’t be measured accurately or may measure the wrong thing, altogether.
You see, right-brained thinking in this left-brain world of analytics relates to a bunch of things, but mostly it relates to the Golden Rule of Data. Do unto others with data as you would have them do unto you.
2016 Survey of US Physicians: Physician awareness, perspectives, and readines...Deloitte United States
The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) is a Medicare payment law intended to drive health care payment and delivery system reform for clinicians, health systems, Medicare, and other government and commercial payers. Deloitte’s 2016 Survey of US Physicians sought to shed light on physicians’ awareness of MACRA, their perspectives on its implications, and their attitudes and readiness for change. The survey found that many physicians are unaware of MACRA. Regardless of their awareness level, most physicians surveyed would have to change aspects of their practice to meet the law’s requirements and to do well under its incentives. Many physicians surveyed recognize they will need to bear increased financial risk (under MACRA and in general) and need support and resources to develop the capabilities do so. http://www.deloitte.com/us/macra?id=us:2sm:3ss:macra:eng:lshc:071216
The Key to Transitioning from Fee-for-Service to Value-Based ReimbursementsHealth Catalyst
The shift from fee-for-service to value-based reimbursements has good and bad consequences for healthcare. While the shift will ultimately help health systems provide higher quality lower cost care, the transition may be financially disastrous for some. In addition, the shifting revenue mix from commercial payers to Medicare and Medicaid is creating its own set of challenges. There are, however, three keys to surviving the transition: 1) Effectively manage shared savings programs to maximize reimbursement. 2) Improve operating costs. 3) Increase patient volumes. With an analytics foundation, health systems will be able to meet and survive today’s healthcare challenges.
Population Health Management, Predictive Analytics, Big Data and Text AnalyticsFrank Wang
HCAD 6635 Health Information Analytics session 12
Population Health Management Analytics
Predictive Analytics
Big Data and its potential applications in Healthcare
Text Analytics
Public Health Analytics
The Three Essential Responsibilities of a Nurse InformaticistHealth Catalyst
With data driving decisions at every level of a health system, healthcare organizations must have data experts who can understand and communicate the technological processes and the reasons behind them to clinical staff. Nurse informaticists bridge the gap between data and nursing practice by combining clinical experience and data expertise. They fulfill three pivotal responsibilities:
Understand and communicate the “why” behind new processes.
Implement new processes.
Validate data quality.
With a nurse informaticist guiding data-driven processes, educating nurses, and validating data quality, health systems advance data beyond the data platform so it reaches the nursing workforce to inform decisions at the frontlines of healthcare delivery.
Good surfers are the consummate analysts. They dynamically process streams of seemingly unrelated information bypassing lesser opportunities, then strategically selecting the perfect wave.
The ability to tease out genuine opportunities amidst a tumult of noise is a hallmark of great analysts. By viewing these slides you will learn:
- The human elements of a great analyst.
- How to re-frame the role of technology in analysis.
- Healthcare knowledge required to maximize the value of a healthcare analyst.
John Wadsworth's (Senior Vice President of Client Engagement, Health Catalyst) engaging presentation style leverages simple and fun analogies to galvanize key concepts for technical, clinical, and executive audiences alike. Join us as he brings principles from the world of surfing and applies them to healthcare analytics.
United States Diagnostics Market Size, Share, Trend and Forecast 2026 | TechS...TechSci Research
According to #TechSci Research report, United States Diagnostics Market stood at USD30.08billion in 2020 and is expected to grow at a steady rate of 5.17% during the forecast period.
Gain More Insight: https://bit.ly/3wWI0do
Get Sample Report: https://bit.ly/3ltFdo6
Website: https://www.techsciresearch.com/
Market Research News: https://techsciblog.com/
Six Need-to-Know Guidelines for Successful Care ManagementHealth Catalyst
In a job that changes every minute, care managers don’t have much time to think as they tackle unpredictable situations. Care managers stay on track amid the distractions by following six key elements of successful care management:
Act as an advocate for the patient.
Practice cultural competence.
Garner support from leaders.
Develop effective communication skills.
Prioritize patients based on up-to-date data.
Don’t ever forget that the patient is a human being first.
As care managers practice these six crucial components for successful care management, the patient’s health and well-being will always be the top priority for everyone involved, which translates to better outcomes and lower costs.
ACOs and CINs — Where Did They Start, How Have They Evolved, and Where Are Th...Health Catalyst
As the types and structures of Accountable Care Organizations (ACOs) and Clinically Integrated Networks (CINs) continue to evolve, organizations moving into value-based care face an ever-changing landscape. Alternative payment model arrangements have driven provider organizations to hone in on specific tactics to meet their contractual and strategic objectives.
Please join Health Catalyst Senior Vice President Dr. Amy Flaster and Population Health Management Consultant Jonas Varnum as they discuss the evolution of the ACO and CIN models, what new tools ACOs employ today to promote success, and lessons learned from organizations that have succeeded in alternative payment models. They will dive deep into lessons learned in addition to providing a primer on what has always been and continues to be vitally important to success in value based care. Specifics they will cover include:
- Approaches to simplify quality metric reporting
- Enhanced methodology that zeroes in on identifying high-value opportunities to improve patient populations
- Key tips to expand your business with new contracts
Dr. Flaster and Mr. Varnum’s combined experience make them uniquely qualified to guide you in your ACO or CIN journey. Dr. Flaster comes from a clinical background where she worked as Associate Medical Director at Partners HealthCare - one of the largest ACOs in the country. Mr. Varnum is a professional services strategy leader with demonstrated expertise delivering payment model transformation and helping providers and payers to strategically adjust their operations.
From Social Media through to Artificial intelligence...and more. In this presentation I covered the trends that we're currently seeing in Medical Affairs - those trends which are important now, those trends which will impact Medical Affairs in the future, and the skills required to be successful.
To read the LinkedIn article here’s the link: https://www.linkedin.com/pulse/trends-medical-affairs-presented-appa-march-14-2018-glenn-carter/
For further discussion phone us on:
Sydney (02) 8877 8777
Melbourne (03) 9938 7100
Or for additional insights go to one of our specialised websites:
Healthcare Professionals Group
(https://www.hpgconnect.com/)
Health & Aged Care Professionals (https://www.hacpconnect.com/)
Pharmaceutical & Medical Professionals
(https://www.pmpconnect.com/)
Rural & Remote Healthcare Professionals
(https://www.rrhpconnect.com/)
How to Build a Healthcare Analytics Team and Solve Strategic ProblemsHealth Catalyst
Health systems have vast amounts of data, but frequently struggle to use that data to solve strategic problems in a timely fashion. A healthcare analytics team, made up of the right people with the right tools and skillsets, can help address these challenges. This article walks through the steps organizations need to take to put an effective analytics team in place. These include the following:
Recognizing the need for change.
Demonstrating the value of an analytics team.
Conducting a current state assessment.
Identifying solutions.
Implementing a phased approach.
Building a roadmap.
Making the pitch.
Putting the roadmap into action.
The article also includes the foundation skills to look for when putting together the team and tips on how best to organize.
This KSA White Paper by Jason Oliveira, a Principal with KSA, discusses the intersection between the corporate onus of performance measurement and healthcare information technology. Planning towards and efficient and efffective performance measurement architecture.
This white paper authored by Jason Oliveira discusses the application of the Balanced Scorecard methodology and framework with the healthcare industry as well as the information technology implications.,
When the Promise of Prehabilitation Meets the Power of Healthcare AnalyticsHealth Catalyst
Patients who undergo surgery frequently follow a rehabilitation program afterwards to promote recovery. However, starting this program before the procedure may help further accelerate recovery time. Prehabilitation is defined as physical or lifestyle preparation that happens before surgery and is designed to help patients regain function in less time.
Improving Clinical and Operational Outcomes by Leveraging Healthcare Data Ana...NUS-ISS
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.
Held each year in Boston, Medical Informatics World connects more than 400 healthcare, biomedical science, health informatics, and IT leaders to navigate emerging trends and opportunities in the evolving industry. The event responds to the challenges in collaborating and maximizing the benefit of enabling technologies with inspiring plenary keynotes combined with focused expert-led presentations and discussions. Coverage includes population health management, predictive analytics, payer-provider-pharma data collaborations, patient care and engagement, mobile and wearable technologies, care delivery models, enterprise hospital information systems, clinical decision support, error and readmission reduction, and healthcare data security. The 2015 program features six conference tracks, two interactive dinner workshops and six plenary keynote presentations, providing attendees with the connections, tools and strategies for taking their research and care delivery to the next level. Learn more at http://www.medicalinformaticsworld.com
AI in Healthcare: Finding the Right Answers FasterHealth Catalyst
Health systems rely on data to make informed decisions—but only if that data leads to the right conclusion. Health systems often use common analytic methods to draw the wrong conclusions that lead to wasted resources and worse outcomes for patients. It is crucial for data leaders to lay the right data foundation before applying AI, select the best data visualization tool, and prepare to overcome five common roadblocks with AI in healthcare:
Predictive Analysis Before Diagnostic Analysis Leads to Correlation but Not Causation.
Change Management Isn’t Considered Part of the Process.
The Wrong Terms to Describe the Work.
Trying to Compensate for Low Data Literacy Resulting in Unclear Conclusions.
Lack of Agreement on Definitions Causes Confusion.
As AI provides more efficiency and power in healthcare, organizations still need a collaborative approach, deep understanding of data processes, and strong leadership to effect real change.
Healthcare Analytics: Right-Brain Advice in a Left-Brain WorldHealth Catalyst
U.S. healthcare is badly missing the soft, human side of healthcare analytics, especially as it impacts clinicians. How do we fix that? This webinar explores those ideas.
You won’t hear Dale talk about SQL, inner joins, outer joins, R, Python, logistic regression, random forest, or convolutional neural networks but instead, in this webinar he talks about the principles and philosophy of analytics.
For the most part, we’ve figured out the technology of analytics. That is all left-brain thinking—analytical, logical and methodical in nature—and it is literally getting easier every day with new data technology. But, in healthcare, we’re missing the right-brain thinking—creative and artistic in nature—that has almost nothing to do with technology but has everything to do with the human side of pursuing “data driven healthcare.”
Right-brain thinking is required for the oddities and shortcomings of healthcare data, and how to manage those shortcomings in the context of delivering data to the humans who we hope will consume it. The right-brain relates to the personality characteristics of the people who are leading your analytics strategy. It relates to the leadership culture of the organization and where that culture resides on a scale of transparency, internally and externally. The right-brain relates to behavioral economics, evolutionary psychology, human decision making theories, and the fundamental factors that motivate or demotivate human behavior. The right-brain relates to concepts like experimental design and PICO—patients, interventions, comparisons, and outcomes—that, if followed, can make your analytics more truthful and believable. It has to do with the way we negotiate and structure performance-based contracts that are loaded with quality metrics that either measure things that can’t be measured accurately or may measure the wrong thing, altogether.
You see, right-brained thinking in this left-brain world of analytics relates to a bunch of things, but mostly it relates to the Golden Rule of Data. Do unto others with data as you would have them do unto you.
2016 Survey of US Physicians: Physician awareness, perspectives, and readines...Deloitte United States
The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) is a Medicare payment law intended to drive health care payment and delivery system reform for clinicians, health systems, Medicare, and other government and commercial payers. Deloitte’s 2016 Survey of US Physicians sought to shed light on physicians’ awareness of MACRA, their perspectives on its implications, and their attitudes and readiness for change. The survey found that many physicians are unaware of MACRA. Regardless of their awareness level, most physicians surveyed would have to change aspects of their practice to meet the law’s requirements and to do well under its incentives. Many physicians surveyed recognize they will need to bear increased financial risk (under MACRA and in general) and need support and resources to develop the capabilities do so. http://www.deloitte.com/us/macra?id=us:2sm:3ss:macra:eng:lshc:071216
The Key to Transitioning from Fee-for-Service to Value-Based ReimbursementsHealth Catalyst
The shift from fee-for-service to value-based reimbursements has good and bad consequences for healthcare. While the shift will ultimately help health systems provide higher quality lower cost care, the transition may be financially disastrous for some. In addition, the shifting revenue mix from commercial payers to Medicare and Medicaid is creating its own set of challenges. There are, however, three keys to surviving the transition: 1) Effectively manage shared savings programs to maximize reimbursement. 2) Improve operating costs. 3) Increase patient volumes. With an analytics foundation, health systems will be able to meet and survive today’s healthcare challenges.
Population Health Management, Predictive Analytics, Big Data and Text AnalyticsFrank Wang
HCAD 6635 Health Information Analytics session 12
Population Health Management Analytics
Predictive Analytics
Big Data and its potential applications in Healthcare
Text Analytics
Public Health Analytics
The Three Essential Responsibilities of a Nurse InformaticistHealth Catalyst
With data driving decisions at every level of a health system, healthcare organizations must have data experts who can understand and communicate the technological processes and the reasons behind them to clinical staff. Nurse informaticists bridge the gap between data and nursing practice by combining clinical experience and data expertise. They fulfill three pivotal responsibilities:
Understand and communicate the “why” behind new processes.
Implement new processes.
Validate data quality.
With a nurse informaticist guiding data-driven processes, educating nurses, and validating data quality, health systems advance data beyond the data platform so it reaches the nursing workforce to inform decisions at the frontlines of healthcare delivery.
Good surfers are the consummate analysts. They dynamically process streams of seemingly unrelated information bypassing lesser opportunities, then strategically selecting the perfect wave.
The ability to tease out genuine opportunities amidst a tumult of noise is a hallmark of great analysts. By viewing these slides you will learn:
- The human elements of a great analyst.
- How to re-frame the role of technology in analysis.
- Healthcare knowledge required to maximize the value of a healthcare analyst.
John Wadsworth's (Senior Vice President of Client Engagement, Health Catalyst) engaging presentation style leverages simple and fun analogies to galvanize key concepts for technical, clinical, and executive audiences alike. Join us as he brings principles from the world of surfing and applies them to healthcare analytics.
United States Diagnostics Market Size, Share, Trend and Forecast 2026 | TechS...TechSci Research
According to #TechSci Research report, United States Diagnostics Market stood at USD30.08billion in 2020 and is expected to grow at a steady rate of 5.17% during the forecast period.
Gain More Insight: https://bit.ly/3wWI0do
Get Sample Report: https://bit.ly/3ltFdo6
Website: https://www.techsciresearch.com/
Market Research News: https://techsciblog.com/
Six Need-to-Know Guidelines for Successful Care ManagementHealth Catalyst
In a job that changes every minute, care managers don’t have much time to think as they tackle unpredictable situations. Care managers stay on track amid the distractions by following six key elements of successful care management:
Act as an advocate for the patient.
Practice cultural competence.
Garner support from leaders.
Develop effective communication skills.
Prioritize patients based on up-to-date data.
Don’t ever forget that the patient is a human being first.
As care managers practice these six crucial components for successful care management, the patient’s health and well-being will always be the top priority for everyone involved, which translates to better outcomes and lower costs.
ACOs and CINs — Where Did They Start, How Have They Evolved, and Where Are Th...Health Catalyst
As the types and structures of Accountable Care Organizations (ACOs) and Clinically Integrated Networks (CINs) continue to evolve, organizations moving into value-based care face an ever-changing landscape. Alternative payment model arrangements have driven provider organizations to hone in on specific tactics to meet their contractual and strategic objectives.
Please join Health Catalyst Senior Vice President Dr. Amy Flaster and Population Health Management Consultant Jonas Varnum as they discuss the evolution of the ACO and CIN models, what new tools ACOs employ today to promote success, and lessons learned from organizations that have succeeded in alternative payment models. They will dive deep into lessons learned in addition to providing a primer on what has always been and continues to be vitally important to success in value based care. Specifics they will cover include:
- Approaches to simplify quality metric reporting
- Enhanced methodology that zeroes in on identifying high-value opportunities to improve patient populations
- Key tips to expand your business with new contracts
Dr. Flaster and Mr. Varnum’s combined experience make them uniquely qualified to guide you in your ACO or CIN journey. Dr. Flaster comes from a clinical background where she worked as Associate Medical Director at Partners HealthCare - one of the largest ACOs in the country. Mr. Varnum is a professional services strategy leader with demonstrated expertise delivering payment model transformation and helping providers and payers to strategically adjust their operations.
From Social Media through to Artificial intelligence...and more. In this presentation I covered the trends that we're currently seeing in Medical Affairs - those trends which are important now, those trends which will impact Medical Affairs in the future, and the skills required to be successful.
To read the LinkedIn article here’s the link: https://www.linkedin.com/pulse/trends-medical-affairs-presented-appa-march-14-2018-glenn-carter/
For further discussion phone us on:
Sydney (02) 8877 8777
Melbourne (03) 9938 7100
Or for additional insights go to one of our specialised websites:
Healthcare Professionals Group
(https://www.hpgconnect.com/)
Health & Aged Care Professionals (https://www.hacpconnect.com/)
Pharmaceutical & Medical Professionals
(https://www.pmpconnect.com/)
Rural & Remote Healthcare Professionals
(https://www.rrhpconnect.com/)
How to Build a Healthcare Analytics Team and Solve Strategic ProblemsHealth Catalyst
Health systems have vast amounts of data, but frequently struggle to use that data to solve strategic problems in a timely fashion. A healthcare analytics team, made up of the right people with the right tools and skillsets, can help address these challenges. This article walks through the steps organizations need to take to put an effective analytics team in place. These include the following:
Recognizing the need for change.
Demonstrating the value of an analytics team.
Conducting a current state assessment.
Identifying solutions.
Implementing a phased approach.
Building a roadmap.
Making the pitch.
Putting the roadmap into action.
The article also includes the foundation skills to look for when putting together the team and tips on how best to organize.
This KSA White Paper by Jason Oliveira, a Principal with KSA, discusses the intersection between the corporate onus of performance measurement and healthcare information technology. Planning towards and efficient and efffective performance measurement architecture.
This white paper authored by Jason Oliveira discusses the application of the Balanced Scorecard methodology and framework with the healthcare industry as well as the information technology implications.,
This white paper authored by Jason Oliveira discusses the marriage between business and clinical decision support systems within the healthcare industry.
This is a very simple presentation which shows the primary need for governance. Usability (consistency, search capability, clarity) is where the "secret" lies. Having some basic rules for navigation, graphics, colors and content type takes a little bit of work on the front end, but your users will appreciate it and ultimately, it will be your success factor.
Explains about Evolution of IT in Healthcare, how analytics can make a difference and evolution of IT in healtcare. For more information visit: http://www.transformhealth-it.org/
Going Beyond the EMR for Data-driven Insights in HealthcarePerficient, Inc.
Join Dr. Marcie Stoshak-Chavez, MD, FACEP, Director of Healthcare Strategic Advisory Services at Perficient and Mr. J.D. Whitlock, Director of Clinical & Business Intelligence at Catholic Health Partners to learn how analytics is being used to measure and monitor performance and provide service-line directors and financial administrators with reporting and analysis that enhances clinical care processes and business operations.
Learn how clinicians and administrators armed with the data-driven insights from the EMR and beyond can:
Derive meaningful insights for care delivery by analyzing clinical, financial and operational data
Collaborate more effectively and improve quality of care by securely sharing insights among providers
Meaningfully measure and understand performance across key Federally mandated measures and take prescribed action
Stay on top of shifts in regulatory policy that impact reimbursements and quality requirements
While Healthcare 1.0 was broadly defined by a focus on defensive medicine, billing, and fee-for-service, culminating in the mass adoption of EMRs, Healthcare 2.0 is a new wave focused on improving clinical efficiency, quality of care, affordability, and fee-for-value; culminating in a new age of healthcare analytics. This new age of analytics will require a new set of organizational skills and a foundational set of analytic information systems that many executives have not anticipated.
Join Dale Sanders, a 20-year healthcare CIO veteran and the industry's leading analytics expert, as he discusses his lessons learned, best practices in analytics, and what the C-level suite needs to know about this topic, now. Listen to Dale discuss 1) A step-by-step curriculum for analytic adoption and maturity in healthcare organizations, 2) the basic approach to a late-binding data warehouse, 3) pros and cons of early versus late binding, 4) the volatility in vocabulary and business rules in healthcare, 5) how to engineer your data to accommodate volatility in the future
As the author of “Big Data in Healthcare Hype and Hope,” Dr. Feldman has interviewed over 180 emerging tech and healthcare companies, always asking, “How can your new approach help patients?” Her research shows that data, as an enabling tool, has the power to give us critical new insights into not only what causes disease, but what comprises normal. Despite this promise, few patients have reaped the benefits of personalized medicine. A panel of leading big data innovators will discuss the evolving health data ecosystem and how big data is being leveraged for research, discovery, clinical trials, genomics, and cancer care. Case studies and real-life examples of what’s working, what’s not working, and how we can help speed up progress to get patients the right care at the right time will be explored and debated.
• Bonnie Feldman, DDS, MBA - Chief Growth Officer, @DrBonnie360
• Colin Hill - CEO, GNS Healthcare
• Jonathan Hirsch - Founder & President, Syapse
• Andrew Kasarskis, PhD - Co-Director, Icahn Institute for Genomics & Multiscale Biology; Associate Professor, Genetics & Genomic Studies, Icaahn School of Medicine at Mt. Sinai
• William King - CEO, Zephyr Health
New York eHealth Collaborative Digital Health Conference
November 18, 2014
Assessment 2
Quality Improvement Proposal
Overview:
Write a quality improvement proposal, 5–7 pages in length, that provides your recommendations for expanding a hospital's HIT to include quality metrics that will help the organization qualify as an accountable care organization.
Health care has undergone a transformation since the release of the Institute of Medicine's 2000 report
To Err Is Human: Building a Safer Health System.
The report highlighted medical errors as a contributing factor leading to poor patient outcomes. The Institute of Medicine challenged organizations to implement evidence-based performance improvement strategies in order to improve patient quality and safety. Multiple governmental and regulatory agencies, such as the Centers for Medicare and Medicaid Services (CMS) and the Agency for Healthcare Quality and Research (AHRQ), vowed to strengthen and improve incentives for participation, safety, quality, and efficiency in accountable care organizations (ACOs).
Health information technology (HIT) performs an essential role in improving health outcomes of individuals, the community, and populations. Health organizations, consumer advocacy groups, and regulatory committees have made a commitment to explore current and future opportunities that HIT offers to continue momentum to meet the Institute of Medicine's goal of improving safety and quality.
Understanding HIT is important to improving individual, community, and population access to health care and health information. HIT enables quick and easy access to information for both patients and providers. Accessible information has been shown to improve the patient care experience and reduce redundancies, thereby reducing health care costs.
This assessment provides an opportunity for you to make recommendations for expanding a hospital's HIT in ways that will help the hospital qualify as an ACO.
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
Competency 2: Explain the relationship between care coordination and evidence-based data.
Recommend ways to expand an organization's HIT to include quality metrics.
Identify potential problems that can arise with data gathering systems and outputs.
Competency 3: Use health information technology to guide care coordination and organizational practice.
Describe the main focus of information gathering in health care and how it contributes to guiding the development of organizational practice.
Competency 4: Communicate effectively with diverse audiences, in an appropriate form and style, consistent with applicable organizational, professional, and scholarly standards.
Write clearly and concisely, using correct grammar and mechanics.
Support main points, claims, and conclusions with relevant and credible evidence, correctly formatting citations and references using APA style.
Reference
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Examination of the value of data analytics and integration to support new care models such as ACOs and Patient-Centered Medical Homes. The EHR is necessary but not sufficient!
A Leading Patient Experience Survey Platform by MedStatix - White Labeled for...MedStatix, LLC
Improving Patient Experience. Improving Practice Performance.
MedStatix, LLC, offers a WHITE LABELED, cloud-based specialty-specific patient experience survey platform that is bundled and/or resold by leading EMR/EHRs and other integrated healthcare service providers as a value-add to their products.
The patient experience platform uses data science and predictive analytics learned from data hosted on the platform to enable healthcare providers to improve quality of care, patient retention rates and risk profiles of physician practices.
The patient experience platform pinpoints specific, actionable problems where practices can improve their service through its easy-to-implement, yet sophisticated technology solution for monitoring and measuring patient experience by each provider across an organization.
With over a decade delivering over one million patient surveys for over 25 pharmaceutical brands, as well as customer feedback platforms and analytics for Fortune-class brands, MedStatix enables their resellers to provide their customers with exceptional practice improvement opportunities.
A Health Catalyst Overview: A Platform Approach for Transforming HealthcareHealth Catalyst
Join two of Health Catalyst’s best, Vice President Dan Soule, and Senior Consultant Sam Turman, as they cover important basics including who Health Catalyst is, what we provide and how we deliver our products.
We’ll still make it education-oriented as we just aren’t a pushy, salesy company. We’ll orient around the basics of who we are and what we do.
Dan and Sam will provide an easy-to-understand discussion regarding the key analytic principles of adaptive data architecture.
Some specific items they will cover are:
The industry challenges that warranted the creation of Health Catalyst.
The use of Health Catalyst’s data analysis tools and applications that enable organizations to quickly uncover care improvement and cost reduction opportunities.
Implementation best practices including how the Health Catalyst Platform is delivered, installed, and typical implementation schedules. Attendees will understand who in your organization needs to be involved and the secrets to success and pitfalls to avoid.
The discussion will include the key analytic principles of an adaptive data architecture including data aggregation, normalization, security, and governance. They will also address the basic requirements for implementation of the measurement platform of a data warehouse, such as team creation, roles, and reporting.
Finally, they will demonstrate several of the key tools necessary to move the analytics strategy forward including applications used to organize patient populations, others used to monitor and measure care results and still others that are specific to advanced areas of care.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
When stars align: studies in data quality, knowledge graphs, and machine lear...
KSA GE BI Summit 082607
1. GE Healthcare Summit Jason Oliveira, MBA Principal Kurt Salmon Associates August 26, 2007
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6. Got BI? Siemens Invision Lawson Patient Management / Patient Accounting Enterprise Resources / Administrative Clinical / Ancillary GE / ORMIS IDX PM Siemens Soarian Cerner PharmNet GE EMR Kronos WebCIS Proteomic Gentiva Home Health Data Capture Canopy GEAC HR / Payroll Charge Capture Siemens DSS Faculty Practice Data Mart(s) Eclipsys / TSI DSS Supply Chain DM HR Analytics UHC CDB P&A Analytical Application Surgery Revenue Cycle Strategic Planning Diabetes Cancer Public Health ORYX Measures Pediatrics Genomics
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10. The Performance Measurement Movement Consumerism Transparency P4P Patient Safety Quality Improvement DEVISING STRATEGY BI FOUNDATION MANAGING STRATEGY Sharing Learning Innovation Disease Management Quality Management Operational Efficiency Revenue Enhancement High Performing Organization
11. How can BI Help? Independent of the perceived value of these performance measurement systems as drivers of desirable change, the reality is that they are here; they affect the bottom line; and they are now an operational reality, and burden, to provider organizations.
12. Performance Management Infrastructure MEASURE & MONITOR KPI, Dashboards, Benchmarks, Reporting EVALUATE Six Sigma, Root Cause Analysis, Fishbone IMPROVE PROCESSES Simplify, Align, Interconnect, Standardize, Stabilize, Train Data Management Methodology Decision Support Skilled People
13. This is BI Data Management Methodology Decision Support Skilled People
17. This is BI Data Management Methodology Decision Support Skilled People
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19. Data Management – Today’s Reality Health Data Model Health Data Model Medical Vocabulary Medical Vocabulary Identifiers Identifiers Medical Knowledge Medical Knowledge Clinical Operations Performance Measures Significant data barriers remain in achieving insight into clinical processes.
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21. This is BI Data Management Methodology Decision Support Skilled People
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23. Decision Support – Future State Corporate Data Warehouse(s) ERP CIS PM Excel HR Performance Measures, Scorecards, Reports, Analyses, Alerts Goals & Objectives Peer Benchmarks Targets Planning Cycle Management Financial Consolidation Compliance Reporting Revenue Cycle Financial Management Research Clinical Management Revenue Modeling Revenue Cycle Contract Management Price Modeling Cost Accounting Budgeting Forecasting Product Line Management Data Management Foundation Planning Monitoring Taking Action EMR. G/L
24. This is BI Data Management Methodology Decision Support Skilled People
25. Skilled People – Today’s Reality Finance Decision Support Budgeting, Cost Accounting, P&L, Business Planning, Revenue Modeling Research Centers Cancer, Cardiology, CF, Diabetes, et al. Health Information Management (HIM) Abstracting, Billing Abstracting, Case Finding Information Services Data Integration Ad-Hoc Reporting, CIS /CDR queries Nursing Key Statistics, Nursing Informatics Medical Informatics Service Line Initiatives, Clinical analysis ? Knowledge workers typically must navigate a complex organization of support resources to gain access to information and analytical support. Is this optimal? Performance Improvement / Safety Public Reporting, Performance Measures, Patient Satisfaction, Custom DBs, Data Consolidation BioInformatics Genomix, Proteomcs, research data analysis Pharmacy Pharmacy informatics, costs, inventory User User User User User Physician Associates Faculty Plan Productivity, Revenue Analysis, PI Studies
Thank you Tim. It’s a pleasure to be here back in my hometown. Don’t let the Brooklyn accent confuse you – Born in Brookline and moved to Brooklyn at the wee age of two.