Netta Hollings (Programme Manager - Mental Health and Community Care) discusses how you can get the most out of the Maternity Services Data Set (MSDS) and the Child Health Data Sets.
The data sets provide comparative, mother and child-centric data that will be used to improve clinical quality and service efficiency; and to commission services in a way that improves health and reduce inequalities.
COVID-19 Capacity Planning Tool Demo: New Infection Forecasting with Empirica...Health Catalyst
Last month we introduced our public Capacity Planning Tool to support your ongoing COVID-19 response and recovery. We have introduced a major update allowing you to forecast infections based upon actual county level data and dynamic infection spread rates (Empirical Model), as well as better classification of ICU patients.
You can still run multiple scenarios and estimate demand for beds, mechanical ventilators, supplies such as personal protection equipment (PPE), and staff. We hope that you will view this demo as our experts explain how to best use these new features and answer questions from the audience.
The topics covered include:
- A brief review of the Capacity Planning Tool
- How to forecast infections based upon actual county level data and dynamic infection spread rates
- Improved classification of ICU patients
- Where to get additional help if needed
- Q&A session with our experts
COVID-19 Capacity Planning Tool Live Demo and Q&AHealth Catalyst
COVID-19 has created unprecedented strain on hospital capacity and resources. For some of you, you’re already over capacity; for the rest, you know capacity challenges are coming. We are in uncharted territory, all trying to do what we can to help.
In our attempt to help healthcare systems weather the storm, we created the Capacity Planning Tool to address capacity needs throughout your healthcare system—for COVID-19 and all your other patients. We started with the Penn Med Epidemic Model and added capacity planning, starting with the scarcest resources—beds and ventilators—and then we’ll focus on the dramatic increase in the need for PPE, other respiratory equipment, and staffing.
We have already made the Capacity Planning Tool available to everyone (the tool can be found here: https://www.healthcatalyst.com/covid1...). In this session, our experts explain the tool and how it’s best leveraged.
In this demo the topics we cover include:
- What the Capacity Planning Tool is
- How the tool will evolve
- How you can use the tool
- How to get additional help if needed
- Live Q&A session with our experts
New Ways to Improve Hospital Flow with Predictive AnalyticsHealth Catalyst
Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.
Learn more about the following topics:
• How to engage leaders up front with the goal of operationalizing analytics.
• What types of machine learning methods best support operationalizing analytics.
• How to operationalize machine learning-driven results to improve patient flow.
Lisa Annaly, Head of Provider Analytics at the Care Quality Commission, discusses lessons learned from the CQC as they have worked to monitor care quality over time.
Introducing the New Care Management Suite: A Comprehensive, Data-Driven ApproachHealth Catalyst
Because approximately 75 percent of U.S. healthcare costs are attributed to patients with chronic diseases, care management has emerged as a critical improvement strategy. Yet, fragmented workflows, incomplete data sources, and a lack of transparency into typical “black box” solutions leave care teams feeling frustrated and struggling to track success. These challenges are exacerbated in the dynamic, new normal of COVID-19.
Health Catalyst is pleased to introduce our new care management solution. Leveraging a transparent, data-informed approach, the Health Catalyst® Care Management Suite enables quick identification and response to the changing needs of patient populations.
In this webinar, we share the current state of the care management landscape and discuss trends from across the country that highlight risk model biases, the impacts of COVID-19, and the importance of evaluating program ROI. Our Care Management Suite has the capabilities and flexibility to adjust to the ever-changing health environment by identifying the most impactable patients, supporting the entire clinical care pathway, and optimizing program ROI and profitability.
During this webinar, we discuss how our solution does the following:
-Provides a rich, more comprehensive data set—including the ability to look across a wide variety of data sources combining clinical and claims data.
-Offers a patient-centric view—optimized for care management workflows.
-Supports a wide range of analytic capabilities—algorithm transparency and flexibility enabling users to confidently explain, demonstrate, and continuously optimize care management processes.
COVID-19 Capacity Planning Tool Demo: New Infection Forecasting with Empirica...Health Catalyst
Last month we introduced our public Capacity Planning Tool to support your ongoing COVID-19 response and recovery. We have introduced a major update allowing you to forecast infections based upon actual county level data and dynamic infection spread rates (Empirical Model), as well as better classification of ICU patients.
You can still run multiple scenarios and estimate demand for beds, mechanical ventilators, supplies such as personal protection equipment (PPE), and staff. We hope that you will view this demo as our experts explain how to best use these new features and answer questions from the audience.
The topics covered include:
- A brief review of the Capacity Planning Tool
- How to forecast infections based upon actual county level data and dynamic infection spread rates
- Improved classification of ICU patients
- Where to get additional help if needed
- Q&A session with our experts
COVID-19 Capacity Planning Tool Live Demo and Q&AHealth Catalyst
COVID-19 has created unprecedented strain on hospital capacity and resources. For some of you, you’re already over capacity; for the rest, you know capacity challenges are coming. We are in uncharted territory, all trying to do what we can to help.
In our attempt to help healthcare systems weather the storm, we created the Capacity Planning Tool to address capacity needs throughout your healthcare system—for COVID-19 and all your other patients. We started with the Penn Med Epidemic Model and added capacity planning, starting with the scarcest resources—beds and ventilators—and then we’ll focus on the dramatic increase in the need for PPE, other respiratory equipment, and staffing.
We have already made the Capacity Planning Tool available to everyone (the tool can be found here: https://www.healthcatalyst.com/covid1...). In this session, our experts explain the tool and how it’s best leveraged.
In this demo the topics we cover include:
- What the Capacity Planning Tool is
- How the tool will evolve
- How you can use the tool
- How to get additional help if needed
- Live Q&A session with our experts
New Ways to Improve Hospital Flow with Predictive AnalyticsHealth Catalyst
Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.
Learn more about the following topics:
• How to engage leaders up front with the goal of operationalizing analytics.
• What types of machine learning methods best support operationalizing analytics.
• How to operationalize machine learning-driven results to improve patient flow.
Lisa Annaly, Head of Provider Analytics at the Care Quality Commission, discusses lessons learned from the CQC as they have worked to monitor care quality over time.
Introducing the New Care Management Suite: A Comprehensive, Data-Driven ApproachHealth Catalyst
Because approximately 75 percent of U.S. healthcare costs are attributed to patients with chronic diseases, care management has emerged as a critical improvement strategy. Yet, fragmented workflows, incomplete data sources, and a lack of transparency into typical “black box” solutions leave care teams feeling frustrated and struggling to track success. These challenges are exacerbated in the dynamic, new normal of COVID-19.
Health Catalyst is pleased to introduce our new care management solution. Leveraging a transparent, data-informed approach, the Health Catalyst® Care Management Suite enables quick identification and response to the changing needs of patient populations.
In this webinar, we share the current state of the care management landscape and discuss trends from across the country that highlight risk model biases, the impacts of COVID-19, and the importance of evaluating program ROI. Our Care Management Suite has the capabilities and flexibility to adjust to the ever-changing health environment by identifying the most impactable patients, supporting the entire clinical care pathway, and optimizing program ROI and profitability.
During this webinar, we discuss how our solution does the following:
-Provides a rich, more comprehensive data set—including the ability to look across a wide variety of data sources combining clinical and claims data.
-Offers a patient-centric view—optimized for care management workflows.
-Supports a wide range of analytic capabilities—algorithm transparency and flexibility enabling users to confidently explain, demonstrate, and continuously optimize care management processes.
Monitoring quality of care: making the most of dataNuffield Trust
Chris Sherlaw-Johnson, Senior Research Analyst at the Nuffield Trust, introduced the Monitoring quality of care conference and gives an overview of some of the approaches that we've been using at the Trust to identify where care quality has been improving, especially for frail and older people.
Clinical Decision Support: Driving the Last MileHealth Catalyst
Self-driving cars have become the most visible form of computer-aided decision support in society. What can we learn from these innovations—both good and bad, technically and culturally—about computer-aided decision support for clinicians? The adoption of EHRs provided a foundation; what and how do we build on that foundation to help clinicians, and patients, benefit from meaningful, precise decision support?
Scott Weingarten, MD, MPH, and Dale Sanders explore clinical decision support in a joint webinar. Dr. Weingarten is recognized throughout the U.S. and international healthcare space as a physician and for his contributions to decision support, including his role in founding Zynx and Stanson Health. Dale brings a technologist’s viewpoint to the conversation, informed by his background in computer-aided decision support in the healthcare, military, and national intelligence sectors.
During this webinar, learn more about the following topics:
-How clinical decision support can improve the quality, safety, and value of care.
-How developments in the field of artificial intelligence will impact clinical decision support.
-The conceptual framework for digitizing an industry.Tradeoffs in artificial intelligence models between data volume and algorithm complexity.
-The approach to digitization in the automobile and aerospace industries.
-Shortcomings in current healthcare data.Future aspirations and plans for further digitization of healthcare.
How to Eliminate the Burden of Provider Quality Measurement: Able HealthHealth Catalyst
Quality measurement is complicated by incomplete data, calculations, visualizations, and workflows. As a result, quality measurement is a significant burden for medical groups. In fact, research that Health Affairs published in 2016 quantified the burden as 785 hours per provider per year.
That's why Health Catalyst is excited to introduce Able Health, the only quality measures solution that’s truly complete.
In this webinar, you’ll learn how Able Health combines all data, measures, visualizations, and workflows (monitor, improve, and submit) into one complete solution. Eliminating the complexity, and therefore the burden, of provider quality measurement means you spend more time improving performance and less time managing data.
You’ll also learn how each of the three core components of the Able Health solution makes more efficient quality measurement possible:
-Measures engine—calculates performance for all provider quality measures for all payer programs using every available data element.
-Performance dashboard—visualizes all performance metrics for daily tracking, prioritization, and internal reporting for all stakeholders, especially physicians.
-Submission engine—submits compliant data to payers.
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.
Congress Gave Hospitals and Providers $100B in the Coronavirus Stimulus Packa...Health Catalyst
The COVID-19 pandemic has caused immense financial strain on healthcare systems across the nation. As a result, Congress passed a $3 trillion stimulus package that includes $100 billion for hospitals and other healthcare providers. While this relief for healthcare organizations is much needed, it can also add confusion. What can organizations use these stimulus funds for? What are the risks and compliance requirements?
Bobbi Brown, Senior Vice President of Professional Services, and Dan Orenstein, General Counsel at Health Catalyst, discuss answers to these questions and more. With over thirty years of experience in healthcare financial planning and analysis, Bobbi shares her unique perspective on the stimulus package and how providers can use these funds in their recovery planning. Dan has over two decades of legal experience in healthcare and discusses the specifics of compliance requirements.
In this webinar, Bobbi and Dan address the following:
-Explain significant sections of the four laws passed, including the CARES Act.
-Review program details of the Provider Relief Fund.
-Explore the use of the funds and compliance with terms and conditions.
-Discuss policy changes to better prepare for healthcare emergencies.
Go deeper with athenahealth specialists to discover all that you need to know and some things you may not know about Meaningful Use Stage 2 and the newest government updates.
Katherine Howell, MBA, BSN, RN, NEA-BC, Senior Vice President and Chief Nurse Executive, Saint Luke's Health System - Presentation delivered at the marcus evans National Healthcare CNO Summit 2016 held in Las Vegas, NV
More and more health economies across the globe are deploying Electronic Health Records with some countries reaching full adoption by 2017. This means we, as healthcare marketers, now have a vital new channel to reach and educate decision makers.
When a patient registers at a GP practice, GP2GP will be used to electronically transfer their Electronic Health Record (EHR) from their previous GP practice. GP2GP electronic transfers are faster, more reliable and more secure than the current paper-based method of transferring patient records. GP2GP is not a replacement for the transfer of paper-based records, which must continue for the foreseeable future until 100% of GP practices are GP2GP enabled.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
Monitoring quality of care: making the most of dataNuffield Trust
Chris Sherlaw-Johnson, Senior Research Analyst at the Nuffield Trust, introduced the Monitoring quality of care conference and gives an overview of some of the approaches that we've been using at the Trust to identify where care quality has been improving, especially for frail and older people.
Clinical Decision Support: Driving the Last MileHealth Catalyst
Self-driving cars have become the most visible form of computer-aided decision support in society. What can we learn from these innovations—both good and bad, technically and culturally—about computer-aided decision support for clinicians? The adoption of EHRs provided a foundation; what and how do we build on that foundation to help clinicians, and patients, benefit from meaningful, precise decision support?
Scott Weingarten, MD, MPH, and Dale Sanders explore clinical decision support in a joint webinar. Dr. Weingarten is recognized throughout the U.S. and international healthcare space as a physician and for his contributions to decision support, including his role in founding Zynx and Stanson Health. Dale brings a technologist’s viewpoint to the conversation, informed by his background in computer-aided decision support in the healthcare, military, and national intelligence sectors.
During this webinar, learn more about the following topics:
-How clinical decision support can improve the quality, safety, and value of care.
-How developments in the field of artificial intelligence will impact clinical decision support.
-The conceptual framework for digitizing an industry.Tradeoffs in artificial intelligence models between data volume and algorithm complexity.
-The approach to digitization in the automobile and aerospace industries.
-Shortcomings in current healthcare data.Future aspirations and plans for further digitization of healthcare.
How to Eliminate the Burden of Provider Quality Measurement: Able HealthHealth Catalyst
Quality measurement is complicated by incomplete data, calculations, visualizations, and workflows. As a result, quality measurement is a significant burden for medical groups. In fact, research that Health Affairs published in 2016 quantified the burden as 785 hours per provider per year.
That's why Health Catalyst is excited to introduce Able Health, the only quality measures solution that’s truly complete.
In this webinar, you’ll learn how Able Health combines all data, measures, visualizations, and workflows (monitor, improve, and submit) into one complete solution. Eliminating the complexity, and therefore the burden, of provider quality measurement means you spend more time improving performance and less time managing data.
You’ll also learn how each of the three core components of the Able Health solution makes more efficient quality measurement possible:
-Measures engine—calculates performance for all provider quality measures for all payer programs using every available data element.
-Performance dashboard—visualizes all performance metrics for daily tracking, prioritization, and internal reporting for all stakeholders, especially physicians.
-Submission engine—submits compliant data to payers.
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.
Congress Gave Hospitals and Providers $100B in the Coronavirus Stimulus Packa...Health Catalyst
The COVID-19 pandemic has caused immense financial strain on healthcare systems across the nation. As a result, Congress passed a $3 trillion stimulus package that includes $100 billion for hospitals and other healthcare providers. While this relief for healthcare organizations is much needed, it can also add confusion. What can organizations use these stimulus funds for? What are the risks and compliance requirements?
Bobbi Brown, Senior Vice President of Professional Services, and Dan Orenstein, General Counsel at Health Catalyst, discuss answers to these questions and more. With over thirty years of experience in healthcare financial planning and analysis, Bobbi shares her unique perspective on the stimulus package and how providers can use these funds in their recovery planning. Dan has over two decades of legal experience in healthcare and discusses the specifics of compliance requirements.
In this webinar, Bobbi and Dan address the following:
-Explain significant sections of the four laws passed, including the CARES Act.
-Review program details of the Provider Relief Fund.
-Explore the use of the funds and compliance with terms and conditions.
-Discuss policy changes to better prepare for healthcare emergencies.
Go deeper with athenahealth specialists to discover all that you need to know and some things you may not know about Meaningful Use Stage 2 and the newest government updates.
Katherine Howell, MBA, BSN, RN, NEA-BC, Senior Vice President and Chief Nurse Executive, Saint Luke's Health System - Presentation delivered at the marcus evans National Healthcare CNO Summit 2016 held in Las Vegas, NV
More and more health economies across the globe are deploying Electronic Health Records with some countries reaching full adoption by 2017. This means we, as healthcare marketers, now have a vital new channel to reach and educate decision makers.
When a patient registers at a GP practice, GP2GP will be used to electronically transfer their Electronic Health Record (EHR) from their previous GP practice. GP2GP electronic transfers are faster, more reliable and more secure than the current paper-based method of transferring patient records. GP2GP is not a replacement for the transfer of paper-based records, which must continue for the foreseeable future until 100% of GP practices are GP2GP enabled.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
Health IT Summit Houston 2014 - Case Study "EHR Optimization for Organizational Value in a Changing Healthcare Environment"
Luis Saldana, MD, MBA, FACEP
CMIO
Texas Health Resources
iHT2 case studies and presentations illustrate challenges, successes and various factors in the outcomes of numerous types of health IT implementations. They are interactive and dynamic sessions providing opportunity for dialogue, debate and exchanging ideas and best practices. This session will be presented by a thought leader in the provider, payer or government space.
The alphabet soup of clinical quality measures reporting and reimbursement 2...Bill Presley
CMS is transitioning to what the they call "a new and more responsive regulatory framework" for quality reporting and reimbursement. CMS goals are "…electronic health records helping physicians, clinicians, and hospitals to deliver better care, smarter spending, and healthier people". Over the next couple years, we will see a transformation of fee for service into value-based care models driven by the VBP, Quality Payment Program, MACRA, Merit-based Incentive Payment System (MIPS) and Alternative Payment Models (APM). Healthcare organizations will no longer be motivated by implementing and meeting Meaningful Use, but instead will be driven by value-based care and risk-based payment models that focus on quality outcomes for reimbursements.
In this Education Session we will review:
• How CMS is aligning clinical quality measures (CQMs) to reduce the reporting burden for healthcare organizations and providers. We will cover the vision and goals for achieving quality alignment for CMS.
• We will dive into the following CMS reporting programs and how they interact with each other: Value-Based Purchasing (VBP), Medicare Access and CHIP Reauthorization Act (MACRA), Merit-based Incentive Payments (MIPS), Hospital Inpatient Quality Reporting (IQR), The Joint Commission (ORYX), Outpatient Quality Reporting (OQR), and Alternative Payment Models (APM).
• How the Eligible Hospital and Eligible Professional reimbursement models will change in 2017 and going forward.
• Compare and contrast the requirements for quality measure reporting and identify strategies to ensure compliance.
• The potential impact to hospital reimbursement of current and proposed programs that will affect quality reporting for hospitals and providers.
• How to improve efficiency and quality by aligning measures across initiatives.
• Where to find current information (and breaking news) on each of these Quality Initiatives.
In the past, organizations participating in quality reporting initiatives involved abstractors sifting through a small sample set of unstructured data in paper charts to then manually convert their findings to discrete reportable data. This approach is time consuming and requires extensive amount of resources from both IT and Quality staff. Aligning quality initiatives can improve efficiencies and processes, and contribute to population health management efforts, both locally and nationally.
At the conclusion of this presentation, attendees will be able to apply what they’ve learned about aligning Clinical Quality Measures across initiatives specific to their organization to improve reimbursements, reduce their reporting burden, increase efficiencies, and realize the benefits of Population Health Management.
If you are responsible for hospital quality, IT, clinical quality measure initiatives or have a vested interest in making sure your organization is aligning quality measures reporting, this informational session is a must.
Presentation by Rich Pollack, VP and Chief Information Officer, VCU Health, at the marcus evans National Healthcare CIO Summit held in Pasadena, CA March 13-14 2017
Delivering Quality Through eHealth and Information TechnologyNHSScotlandEvent
Using information to improve the quality of care is becoming increasingly important. This session will highlight how the new eHealth Strategy links to the quality agenda and the benefits and successes of three innovative eHealth tools.
Presentation by Fiona Lord, Manager, WRaPT Service Lancashire Care NHS FT at the Workforce Resource Optimisation Big Innovation Conversation webinar on Thursday 14 March.
The Alphabet Soup of Clinical Quality Measures ReportingBill Presley
CMS is transitioning to what the they call "a new and more responsive regulatory framework" for quality reporting and reimbursement. CMS goals are "…electronic health records helping physicians, clinicians, and hospitals to deliver better care, smarter spending, and healthier people". Over the next couple years, we will see a transformation of fee for service into value-based care models driven by the VBP, Quality Payment Program, MACRA, Merit-based Incentive Payment System (MIPS) and Alternative Payment Models (APM). Healthcare organizations will no longer be motivated by implementing and meeting Meaningful Use, but instead will be driven by value-based care and risk-based payment models that focus on quality outcomes for reimbursements.
In this Education Session we will review:
• How CMS is aligning clinical quality measures (CQMs) to reduce the reporting burden for healthcare organizations and providers. We will cover the vision and goals for achieving quality alignment for CMS.
• We will dive into the following CMS reporting programs and how they interact with each other: Value-Based Purchasing (VBP), Medicare Access and CHIP Reauthorization Act (MACRA), Merit-based Incentive Payments (MIPS), Hospital Inpatient Quality Reporting (IQR), The Joint Commission (ORYX), Outpatient Quality Reporting (OQR), and Alternative Payment Models (APM).
HSCIC/ESR Data Quality / Data Standards Road Shows 2015/16
The Health and Social Care Information Centre has hosted a series of road shows jointly with the Electronic Staff Record (ESR) Central Team and Health Education England to highlight developments in NHS workforce information, data standards and data quality.
Here are the slides presented at the fourth event, held at the Taunton Rugby Club, Taunton on 25th February 2016.
Data quality is all about collaborative working with a shared purpose and this is the main driver behind our road shows during 2015/16. Any efforts to improve data quality should have mutual benefits and should provide a platform for discourse between all involved. Collectively we can ensure that the data that is used to inform decisions about the workforce at local, regional and national level is as accurate as possible. Good data quality can't guarantee good decisions are made, but poor data quality will definitely increase the likelihood of poor decisions and poor outcomes.
SCIC/ESR Data Quality / Data Standards Road Shows 2015/16
The Health and Social Care Information Centre has hosted a series of road shows jointly with the Electronic Staff Record (ESR) Central Team and Health Education England to highlight developments in NHS workforce information, data standards and data quality.
Here are the slides presented at the third event, held at Bruntwood City Tower, Manchester on 1st March 2016.
Data quality is all about collaborative working with a shared purpose and this is the main driver behind our road shows during 2015/16. Any efforts to improve data quality should have mutual benefits and should provide a platform for discourse between all involved. Collectively we can ensure that the data that is used to inform decisions about the workforce at local, regional and national level is as accurate as possible. Good data quality can't guarantee good decisions are made, but poor data quality will definitely increase the likelihood of poor decisions and poor outcomes.
HSCIC/ESR Data Quality / Data Standards Road Shows 2015/16
The Health and Social Care Information Centre has hosted a series of road shows jointly with the Electronic Staff Record (ESR) Central Team and Health Education England to highlight developments in NHS workforce information, data standards and data quality.
Here are the slides presented at the third event, held at the Health and Social Care Information Centre, Leeds on 2nd February 2016.
Data quality is all about collaborative working with a shared purpose and this is the main driver behind our road shows during 2015/16. Any efforts to improve data quality should have mutual benefits and should provide a platform for discourse between all involved. Collectively we can ensure that the data that is used to inform decisions about the workforce at local, regional and national level is as accurate as possible. Good data quality can't guarantee good decisions are made, but poor data quality will definitely increase the likelihood of poor decisions and poor outcomes.
The purpose of this case study summary is to briefly describe how stakeholders have used the prescriptions dispensed in the community publication to inform analytical, reporting and contract negotiation activities.
A benefits case study describing how national stakeholders have used HSCIC's immunisation statistics to help drive improvements in immunisation services and inform decisions when managing disease outbreaks
A benefits case study describing how national stakeholders have used HSCIC's immunisation statistics to help drive improvements in immunisation services and inform decisions when managing disease outbreaks
A benefits case study describing how Diabetes UK has used HSCIC's data and statistical outputs to inform the Putting Feet First campaign. https://www.diabetes.org.uk/Get_involved/Campaigning/Our-campaigns/Putting-feet-first/
A benefits case study describing how Diabetes UK has used HSCIC's data and statistical outputs to inform the Putting Feet First campaign. https://www.diabetes.org.uk/Get_involved/Campaigning/Our-campaigns/Putting-feet-first/
The Health and Social Care Information Centre is hosting a series of road shows jointly with the Electronic Staff Record (ESR) Central Team and Health Education England to highlight developments in NHS workforce information, data standards and data quality.
Here are the slides presented at the second event, held at The Priory Rooms, Birmingham on 26th November 2015.
Data quality is all about collaborative working with a shared purpose and this is the main driver behind our road shows during 2015/16. Any efforts to improve data quality should have mutual benefits and should provide a platform for discourse between all involved. Collectively we can ensure that the data that is used to inform decisions about the workforce at local, regional and national level is as accurate as possible. Good data quality can't guarantee good decisions are made, but poor data quality will definitely increase the likelihood of poor decisions and poor outcomes.
For more information about future events, please contact the team at workforce.dq@hscic.gov.uk
Nicholas Oughtibridge (Principle Author of the Code of Practice for Confidential Information - HSCIC) spoke at the recent "Commissioning in Healthcare show (CiH 2015)".
Areas covered include:
· The role of the code of practice
· What is covered by the Code of Practice on Confidential Information?
· The seven steps in the life of a data collection
· Sharing confidential information with other people to meet legitimate needs
· Plans for revising the Code of Practice on Confidential Information
Julie Henderson (Head of Analytical Services - HSCIC) presented with Shaun Rowark (Technical Analyst, Quality Standards - NICE) at the recent "Commissioning in Healthcare show (CiH 2015) ".
Areas covered include:
· NICE quality standards: These are concise sets of prioritised statements designed to drive measurable quality improvements within a particular area of health or care. Derived from the best available evidence, they can enable commissioners to be confident that the services they are purchasing are high quality, cost effective and focused on driving up quality.
· Real life examples of how quality standards are being used by commissioners, possible barriers to implementation and advice on how to overcome these
· Data available from the HSCIC and how to use these to support the commissioning process
Jackie Shears (Programme Head for NHS Pathways - HSCIC) presented the new NHS Pathways Intelligent Data Tool at the recent "Commissioning in Healthcare show (CiH 2015)".
Areas covered include:
· Background to NHS Pathways and the Intelligent Data Tool
· Guided tour of the new Commissioner Dashboard and what it can be used for
Andy Williams (Chief Executive - HSCIC) spoke at the recent "Healthcare Efficiency Through Technology Expo (HETT 2015)".
Areas covered include:
· Role and remit of the HSCIC
· Summary of important activity from the last 12 months
· HSCIC’s strategy 2015 - 2020
· The big delivery challenges the health and care system faces
Cleveland Henry (Director of NHS Choices - HSCIC) spoke at the recent "Healthcare Efficiency Through Technology Expo (HETT 2015)".
Areas covered include:
· How does analysis of NHS Choices usage help us to understand the public’s health and care information needs?
· What can web analytics and user feedback tell us about the most popular and useful content?
· How does the mass media agenda drive content consumption?
· How has the move to ‘mobile’ changed the demand for information?
· Where next for online information and transactions?
The Health and Social Care Information Centre is hosting a series of road shows jointly with the Electronic Staff Record (ESR) Central Team and Health Education England to highlight developments in NHS workforce information, data standards and data quality.
Here are the slides presented at the first event, held at the Royal Marsden NHS Foundation Trust on 1st October 2015.
Data quality is all about collaborative working with a shared purpose and this is the main driver behind our road shows during 2015/16. Any efforts to improve data quality should have mutual benefits and should provide a platform for discourse between all involved. Collectively we can ensure that the data that is used to inform decisions about the workforce at local, regional and national level is as accurate as possible. Good data quality can't guarantee good decisions are made, but poor data quality will definitely increase the likelihood of poor decisions and poor outcomes.
For more information about future events, please contact the team mailto:workforce.dq@hscic.gov.uk <mailto:workforce.dq@hscic.gov.uk>
Presentation given relating to the HSCIC report 'Focus on the health and care of young people June 2015' by Kate Croft, HSCIC Head of Statistical Response Unit. This took place at the Health+Care event at London's ExCel, on Thursday 25 June 2015.
CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
Unveiling CRISPR: This naturally occurring bacterial defense system (crRNA & Cas9 protein) fights viruses. Scientists repurposed it for precise gene editing (correction, deletion, insertion) by targeting specific DNA sequences.
The Promise: CRISPR offers exciting possibilities:
Gene Therapy: Correcting genetic diseases like cystic fibrosis.
Agriculture: Engineering crops resistant to pests and harsh environments.
Research: Studying gene function to unlock new knowledge.
The Peril: Ethical concerns demand attention:
Off-target Effects: Unintended DNA edits can have unforeseen consequences.
Eugenics: Misusing CRISPR for designer babies raises social and ethical questions.
Equity: High costs could limit access to this potentially life-saving technology.
The Path Forward: Responsible development is crucial:
International Collaboration: Clear guidelines are needed for research and human trials.
Public Education: Open discussions ensure informed decisions about CRISPR.
Prioritize Safety and Ethics: Safety and ethical principles must be paramount.
CRISPR offers a powerful tool for a better future, but responsible development and addressing ethical concerns are essential. By prioritizing safety, fostering open dialogue, and ensuring equitable access, we can harness CRISPR's power for the benefit of all. (2998 characters)
The Importance of Community Nursing Care.pdfAD Healthcare
NDIS and Community 24/7 Nursing Care is a specific type of support that may be provided under the NDIS for individuals with complex medical needs who require ongoing nursing care in a community setting, such as their home or a supported accommodation facility.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Explore our infographic on 'Essential Metrics for Palliative Care Management' which highlights key performance indicators crucial for enhancing the quality and efficiency of palliative care services.
This visual guide breaks down important metrics across four categories: Patient-Centered Metrics, Care Efficiency Metrics, Quality of Life Metrics, and Staff Metrics. Each section is designed to help healthcare professionals monitor and improve care delivery for patients facing serious illnesses. Understand how to implement these metrics in your palliative care practices for better outcomes and higher satisfaction levels.
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.
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
Navigating Women's Health: Understanding Prenatal Care and Beyond
Maternity and Children's Data Sets
1. Maternity and Children’s Data Sets
Measure quality and improve performance
Child and Family Health Community Health Professionals Forum: June 2014
2. Agenda
• Introducing the Maternity and Child Health data
sets
• What's in the data sets?
• How can your organisation get the most out of
the data sets?
• How can the HSCIC help you to get the most
from the data sets?
• What will the HSCIC produce from the data and
how will it compliment your own analyses?
2
3. Introducing the Maternity and Child Health data sets
• http://www.hscic.gov.uk/maternityandchildren
• Maternity Services Data Set
• Child and Young Person’s Health Services
(CYPHS) Data Set
• Child and Adolescent Mental Health Services
(CAMHS) Data Set
3
4. What's in the Maternity data set?
• The Maternity Services Data Set (MSDS) sets
out national definitions for the extraction of data
for:
– routine booking appointment activities
– maternity care plan
– dating scan
– antenatal screening tests
– structural foetal anomaly screening
– labour & delivery
– newborn screening
– maternal or neonatal death
4
5. What's in the Child Health data set?
• The CYPHS data set describes national
definitions for the extraction of data in relation
to the following key areas:
– personal and demographic
– social and personal circumstances
– breastfeeding and nutrition
– care event and screening activity
– observations of BMI
– Assessment at age 2-2.5} being
– Childhood disability } added
5
6. What's in the CAMHS data set?
• The CAMHS Data Set sets out national definitions
for the extraction of data in relation to:
– demographics
– background
– family history
– targeted needs
– referrals to CAMH services
– care planning
– interventions
– outcome measures
– inpatient stays
– presenting problems and diagnoses
Children and Young People’s IAPT being added in next version
6
7. Getting the most out of the data sets?
• The Maternity and Children's Data Sets
(MCDS) have been developed to help
achieve better outcomes of care for mothers,
babies and children. The data sets will
provide comparative, mother and child-centric
data that will be used to improve clinical
quality and service efficiency; and to
commission services in a way that improves
health and reduce inequalities.
7
8. Getting the most out of the data sets?
• Information from the data sets will be made widely available
to commissioners, providers, clinicians and service users
and will be used to:
– record, compare and improve outcomes and safety
– improve clinical quality and service efficiency
– commission services in a way that improves health and reduces
inequalities
– improve accountability by providing comparative information to
service users
– provide activity data on which to base mandatory tariffs for
payment
– support regulation
– increase the understanding and dissemination of best practice
– underpin improvement of local information systems to meet data
set standards
8
9. Getting the most out of the data sets?
• Work on the Maternity and Children's Data Sets
began with the policy driver of the National
Service Framework (NSF) for Children, Young
People and Maternity Services in 2004 and
remains aligned to the policy direction set out in:
– Equity and excellence: Liberating the NHS
– Achieving Equity and Excellence for Children
– NHS Outcomes Framework 2013-14
– NHS Outcomes Framework 2014-15
– Everyone Counts: Planning for Patients 2013-14
9
10. Getting the most out of the data sets?
• Try not to see them as a data set for central
submission
• Use them locally – build into Board reports
• Could be used to implement changes e.g.
electronic red book, digital pen technology
• Talk to us about what would be useful for you –
we would much rather do things that were useful
to data providers!
– What data to collect
– What reports would be useful
– enquiries@hscic.gov.uk
10
11. How can the HSCIC help?
• CAMHS Data Set Specification: This document precisely defines the information standard, 'what it is' and 'how it
should be implemented'. It is the formal definition of the standard.
• CAMHS data set technical output specification: This is the approved data set for implementation. It fully
defines the data items that are in scope for submission.
• (Draft) CAMHS data set user Guidance v1.3: This describes how the information standard should be interpreted
by service providers, IT system suppliers and other stakeholders. It helps users understand the scope of the
standard and how it should be implemented locally.
– Please note: This document will remain in draft form. This will enable us to address issues in a timely way through updates to the
document.
• CAMHS Data Set Technical Guidance: This describes the data submission framework; how service providers
should create and submit a data submission file.
• CAMHS Dataset Model: Shows the structure of the dataset and the inter linkages between the different data
tables.
• CAMHS Data Set Validation Reporting Specification: This describes the validation reporting which is designed
to highlight issues that suggest incomplete or poor data.
• CAMHS Intermediate Database (IDB): The IDB is a Microsoft Access database which is used to submit the
dataset. Please request this via enquiries@hscic.gov.uk specifying that you require the CAMHS IDB.
• System Conformance Checklist: This is a worksheet tool for service providers to assess how well their local IT
systems 'map' to the data set specification.
• CAMHS Implementation Planning Template: You can use this planning template to plan your organisation's
activity for implementing the CAMHS dataset. The resulting plan should give a high level picture of how your
organisation intends to tackle this implementation within the anticipated timescales.
• CAMHS Readiness Assessment Tool: You can use this readiness assessment tool to measure your
organisation's CAMHS dataset Implementation progress. This spans a baseline assessment, regular reviews and
a final review to report successful implementation.
• CAMHS Frequently Asked Questions (FAQs): An FAQ document to help providers further understand the data
set submission process by providing guidance for frequently asked questions.
11
12. Reporting and Analysis
What will the HSCIC produce from the data
and how will it compliment your own
analyses?
Maternity examples
12
13. Overview
• What are we doing?
– Working with internal and external customers
– Undertaken pilot submissions
– Encouraging feedback for reporting wants/needs
– Data due to published around Sept 2015
– Maternity Compendium (September 2014)
14. Data Quality
• Expectation of some data quality issues
initially
• Statistical outputs will be dependent upon the
data quality
• As this improves, the statistical outputs will
evolve
• Bear in mind – Maternity currencies
15. Current Maternity (HES) Reports
• Monthly collections and publications
(headline figures)
• Annual report (more detail)
• The number of deliveries (not children) taking place in NHS
hospitals is 671,255.
• 404,094 (61.7 per cent) of deliveries in NHS hospitals were
spontaneous, whilst 25.5 per cent (167,283) were caesarean
deliveries.
• Over a third of all deliveries (37.1 per cent, 211,374) required no
anaesthetic before or during delivery.
• 44.3 per cent (297,066) of delivery episodes had a total duration
of one day or less;
69.9 per cent (468,891) two days or less and only 10.4 per
cent (69,861) of delivery episodes lasted five days or more.
The longest stays were associated with caesarean deliveries.
• http://www.hscic.gov.uk/hes
17. Maternity Compendium
• Linking to existing Mental Health datasets
(IAPT & MHMDS)
• Linking within HES (Inpatients, Outpatients,
Maternity, A&E)
• Causality of birth weights/lengths – e.g. age
of mother, health conditions, ethnicity?
• Examine existing data sources – ONS,
Maternity Survey
• Variety of presentation formats
18. Maternity Services Data Set
• Will be able to report on the whole pregnancy
pathway not just the delivery
– Ante and Post natal care
– Ultrasound Scan results
– Tests
Before (Downs Syndrome)
After (Blood spot)
– Babies linked to the mother
– Breastfeeding initiated
– Smoking status
19. Reporting MSDS
• Interactive online tool
• Requirements to include:
– Filtering
– Charts
– Hierarchies
– Maps
– Dashboards
– Ability to connect to a range of data sources (SQL,
Excel etc.)
– Ease of use
– Support
– Basic statistical capabilities
• Evaluating options