Eric Herman, MD, Medical Director, Population Health and Family Physician, for MultiCare's Kent Clinic, talked about the power of the EMR is only as good as the person using it.
Evaluating new models of care: Improvement Analytics UnitNuffield Trust
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Martin Caunt, Improvement Analytics Unit Project Director and NHS England and Adam Steventon, Director of Data Analytics at The Health Foundation share insights into how they have approached evaluating new models of care.
Providing actionable healthcare analytics at scale: Understanding improvement...Nuffield Trust
Â
This document discusses measurement for quality improvement. It explains that measurement in improvement aims to provide a basis for action to improve processes and outcomes, rather than just estimating parameters. Improvement measures should be simple, specific, and available in real-time. Statistical process control methods are important to separate normal variation from changes resulting from interventions. Examples are provided of run charts measuring improvements in recording BMI for mental health patients and compliance with care bundles. The document advocates making the theories behind improvement efforts more explicit.
This document discusses using statistical process control (CUSUM) charts to monitor mortality rates at the level of individual general practitioners and health authorities. It describes how CUSUM charts could potentially have detected Harold Shipman, a GP who murdered over 200 patients, by spotting outliers in the routine mortality data. The document also discusses challenges in risk adjusting outcomes to account for differences in patient characteristics and casemix between providers. Accurately adjusting for factors like age, comorbidities, and emergency status is important for fair comparisons but difficult using only administrative data.
Ramani Moonesinghe, Associate National Clinical Director for Elective Care at NHS England, discusses the use of data for monitoring care quality at various levels within the system.
The document summarizes discussions from two roundtables on opportunities and barriers to using real-world evidence in Canada. Key points identified include the need to: 1) build a culture that recognizes real-world evidence can foster healthcare innovation; 2) increase understanding of real-world evidence's value to improve quality and efficiency; and 3) use common data structures and vocabularies to better link and analyze data. Next steps discussed building real-world evidence capacity in Canada through continued stakeholder discussions, leveraging existing data infrastructure, and balancing privacy concerns with the need for appropriate care.
The Pre-Anesthesia Evaluation Module is designed to manage the data and workflow of pre-anesthesia evaluation, either at the pre-admission testing visit or at the surgeonâs office. Medical history is collected from patients via a self-administered Tablet questionnaire, and available data regarding that patient is also downloaded from the EHR. This data is used to determine what testing is needed prior to anesthesia. This system can be used in the surgeonâs office, to help avoid anesthesia complications and help prevent canceled or delayed cases. A set of screenshots and an overview of the module can be reviewed via this downloadable PowerPoint presentation.
Providing actionable healthcare analytics at scale: Insights from the Nationa...Nuffield Trust
Â
Christopher Boulton, Falls and Fragility Fracture Audit Programme Manager at the Royal College of Physicians and Rob Wakeman, Clinical Lead for Orthopaedic Surgery at the National Hip Fracture Database talk about what they have learned by analysing the national hip fracture database.
Evaluating new models of care: Improvement Analytics UnitNuffield Trust
Â
Martin Caunt, Improvement Analytics Unit Project Director and NHS England and Adam Steventon, Director of Data Analytics at The Health Foundation share insights into how they have approached evaluating new models of care.
Providing actionable healthcare analytics at scale: Understanding improvement...Nuffield Trust
Â
This document discusses measurement for quality improvement. It explains that measurement in improvement aims to provide a basis for action to improve processes and outcomes, rather than just estimating parameters. Improvement measures should be simple, specific, and available in real-time. Statistical process control methods are important to separate normal variation from changes resulting from interventions. Examples are provided of run charts measuring improvements in recording BMI for mental health patients and compliance with care bundles. The document advocates making the theories behind improvement efforts more explicit.
This document discusses using statistical process control (CUSUM) charts to monitor mortality rates at the level of individual general practitioners and health authorities. It describes how CUSUM charts could potentially have detected Harold Shipman, a GP who murdered over 200 patients, by spotting outliers in the routine mortality data. The document also discusses challenges in risk adjusting outcomes to account for differences in patient characteristics and casemix between providers. Accurately adjusting for factors like age, comorbidities, and emergency status is important for fair comparisons but difficult using only administrative data.
Ramani Moonesinghe, Associate National Clinical Director for Elective Care at NHS England, discusses the use of data for monitoring care quality at various levels within the system.
The document summarizes discussions from two roundtables on opportunities and barriers to using real-world evidence in Canada. Key points identified include the need to: 1) build a culture that recognizes real-world evidence can foster healthcare innovation; 2) increase understanding of real-world evidence's value to improve quality and efficiency; and 3) use common data structures and vocabularies to better link and analyze data. Next steps discussed building real-world evidence capacity in Canada through continued stakeholder discussions, leveraging existing data infrastructure, and balancing privacy concerns with the need for appropriate care.
The Pre-Anesthesia Evaluation Module is designed to manage the data and workflow of pre-anesthesia evaluation, either at the pre-admission testing visit or at the surgeonâs office. Medical history is collected from patients via a self-administered Tablet questionnaire, and available data regarding that patient is also downloaded from the EHR. This data is used to determine what testing is needed prior to anesthesia. This system can be used in the surgeonâs office, to help avoid anesthesia complications and help prevent canceled or delayed cases. A set of screenshots and an overview of the module can be reviewed via this downloadable PowerPoint presentation.
Providing actionable healthcare analytics at scale: Insights from the Nationa...Nuffield Trust
Â
Christopher Boulton, Falls and Fragility Fracture Audit Programme Manager at the Royal College of Physicians and Rob Wakeman, Clinical Lead for Orthopaedic Surgery at the National Hip Fracture Database talk about what they have learned by analysing the national hip fracture database.
This document discusses the evolving role of statisticians in clinical research. It begins with an introduction of the presenter. The presentation then outlines how statisticians contribute throughout the different stages of a clinical study, including study planning, start-up, maintenance, risk-based monitoring, data monitoring committees, end of study analysis, and reporting. It emphasizes that statisticians can add more value through activities such as data management programming, cross-study analyses, organizational statistics, and training. The presentation concludes by encouraging clinical research organizations to keep statisticians involved, ask them questions, and make full use of their skills and expertise throughout all phases of a clinical study.
Purpose of the Call:
Call attendees will learn:
â˘About the importance of participating in MedRec Quality Audit Month
â˘How to participate in MedRec Quality Audit Month
â˘About the use of the MedRec Quality Audit tool (i.e. who should use it and how)
â˘Tips on the proper use of the tool and the Patient Safety Metrics System
â˘Where they can access MedRec Quality Audit Month tools and resources
Access the webinar: http://bit.ly/1xVtmDn
This document discusses value-based pricing and "innovative agreements" between the pan-Canadian Pharmaceutical Alliance (pCPA) and pharmaceutical manufacturers. It notes that performance-based agreements that tie the price of drugs to health outcomes present both challenges and opportunities. Challenges include implementing systems to track outcomes and determining which outcomes are measurable and attributable to the drug. Opportunities include structuring agreements for small patient populations and tying rebates to uncertainty in outcomes. The document argues that value-based pricing requires involvement from public drug plans, patients, and manufacturers to address these challenges and realize the opportunities.
CADTH is a not-for-profit organization funded by Health Canada and provincial/territorial governments. It conducts health technology assessments of drugs and devices, employs 190 staff in Ottawa and Toronto, and is involved globally in health technology assessment. CADTH provides decision-makers with objective evidence on clinical and cost effectiveness to promote optimal use of health technologies and build domestic assessment capacity. While quality-adjusted life years are important, health technology assessment considers additional societal perspectives. Adaptive licensing and pathways prospectively plan iterative evidence gathering and regulatory/coverage adaptations to balance early access and assessment of uncertainties using real-world data across sectors.
The document discusses the National Institute for Health Innovation in New Zealand and its goals of developing health technologies, improving health outcomes, and strengthening the health system. It describes several initiatives, including creating a Health Data Interoperability Laboratory to facilitate adoption of interoperability standards, examining use of prediction tools for cardiovascular disease and diabetes, and developing business intelligence tools and quality reporting for healthcare providers. The overall aim is to empower citizens through supported self-management and appropriate consumer technologies.
The document discusses the challenges of managing a newly merged clinical service at the Royal National Throat, Nose and Ear Hospital. It provides examples from managing the delivery of streamlined pathways and information for an ophthalmology case study. Key challenges include differences in work methods between sites, communication breakdowns, resistance to change, and meeting targets across locations. Possible solutions proposed are allowing flexibility and autonomy, clear communication lines, training, centralized electronic systems, and defining clear job roles and decision-making processes.
ROLE OF TECHNOLOGY IN PROMOTING QUALITYLallu Joseph
Â
This document discusses the role of technology in promoting quality in healthcare. It outlines some key challenges in quality improvement such as gap analysis, preparing and updating manuals and standard operating procedures, training, and equipment management. The document then describes how technology can help address these challenges by enabling easier version control of documents, online training modules and records, inventory and maintenance of equipment, electronic medical record documentation and review, incident reporting, and indicator tracking and analysis. The benefits of using technology include establishing quality systems, empowering staff, increasing accountability, involving stakeholders, reducing paperwork, providing real-time data to management, fostering an open culture, and ultimately enhancing patient safety.
Data Governance for Real-World Evidence: Cross-country differences and recommendations for a governance framework
Cole, A., Garrison, L., Mestre-Ferrandiz, J. & Towse A.
Gavin MacColl: Anticipatory care planning in primary careNuffield Trust
Â
This document discusses SPARRA (Scottish Patients at Risk of Readmission & Admission), a risk prediction algorithm, and its use in identifying high-risk patients for anticipatory care planning (ACP) in primary care practices. It provides an overview of SPARRA, how practices can use SPARRA risk scores to target patients for ACPs, and details on evaluating ACPs and related Quality and Outcomes Framework indicators. The document also addresses practical considerations for practices in accessing SPARRA data and limitations of the current SPARRA model.
This document summarizes a study on bibliometric trends in health economic evaluations in sub-Saharan Africa. The study analyzed 345 articles from the NHS EED database to characterize economic evaluations and examine collaboration patterns. It found that evaluations mostly addressed HIV, malaria, and tuberculosis, and focused on treatment interventions. While sub-Saharan authors frequently collaborated with other African researchers from their own country, collaboration between African countries was weaker than with the US and Europe. The study concludes collaboration across African countries should be promoted to support evidence-based decision making.
Adding Value to the EMR: A Clinical PerspectiveHealth Catalyst
Â
Known for leading large-scale healthcare improvement using data and analytics to drive positive change, Dr. Charles Macias speaks to creating greater value in the EMR through analytics. This approach has done more to increase value than many other cost-reduction efforts.
In this webinar you will 1) Explore each component of the value equation, 2) learn how TCH has increased the value of its healthcare using data to drive quality an ever more important need of those facing capitated or valueâbased care reimbursements and 3) consider a new ROI equation for systems who have invested heavily in their EMRs
The document discusses enabling information sharing across health and care through open interfaces, APIs, and standards. It outlines current priorities like using NHS Number as the primary identifier and sharing discharge summaries electronically. The goal is to develop shared care records, patient record indexes, and open access to national systems through APIs. This will support new models of integrated care. The document also provides examples of how real-time access to structured clinical information can help with tasks like medication management, prescribing alerts, and pre-operative assessments.
It's been a little while since I saw a new payment/delivery model that I was seriously excited about! I really love where CMMI and the MRT are taking things
1) The organization made progress in 2008/09 by starting local reporting on quality and governance issues but faced challenges around consistency of information.
2) In 2009/10, they aimed to continue improving risk management, evidence-based practices, and outcome measurement across services, while addressing challenges around clinical governance models and staff time allocation.
3) A new integrated risk register system was being introduced that was hoped to provide more dynamic reporting to better inform quality improvement efforts.
The document outlines a national service framework to deliver better patient outcomes and value through the implementation of clinical best practices across the NHS. It describes setting national standards and guidance to be achieved over 10 years, with local care pathways developed using evidence-based practices. IT systems and workforce solutions will provide management information and support integrated patient care. National bodies will provide products, guidance, and evidence on best practices to support local transformation to higher quality, sustainable models of care.
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
This position involves overseeing drug safety and pharmacovigilance programs to ensure compliance with regulations. Major responsibilities include managing adverse event reporting, reviewing safety reports, designing safety plans for clinical trials, monitoring data safety committees, performing risk assessments, and maintaining safety databases. The ideal candidate has 10-15 years of experience in pharmacovigilance at large pharmaceutical or biotech companies and knowledge of FDA safety requirements and MedDRA terminology.
Whatâs Next?Practical Implementation Lessons from the Partnership for HIV-Fr...MEASURE Evaluation
Â
The document summarizes lessons learned from the Partnership for HIV-Free Survival (PHFS) project in preventing mother-to-child transmission of HIV. It provides an overview of PHFS evaluations and outlines key components of the PHFS approach, including keeping mother-baby pairs together, integrated services, quality improvement techniques, and community engagement. The document proposes developing a "how-to" guide sharing these lessons to help countries improve their PMTCT and pediatric HIV programs. The guide would include descriptions of PHFS components and checklists to help facilities prepare for, launch, sustain, and expand the PHFS approach.
This document provides an agenda and overview for a presentation on coordinating patient services to improve satisfaction. The presentation discusses WellSpan Health's efforts to coordinate scheduling across different departments and systems. It outlines challenges in coordinating imaging, registration, and other services across 11 different scheduling systems. WellSpan implemented a new coordinated scheduling system to integrate these systems and resolve conflicts. This improved patient satisfaction by reducing wait times and allowing physicians to schedule from their offices. The presentation discusses expanding this coordinated approach to other areas and creating complete patient itineraries.
Patient Blood Management: Impact of Quality Data on Patient OutcomesViewics
Â
Patient blood management (PBM) has been proven to improve patient outcomes and save hospitals millions of dollars. Ensuring the quality of your data is central to decision making and critical to having a strong PBM program.
Would you like to learn how your organization can improve patient outcomes by implementing a PBM program based on accurate data?
If so, view this presentation by blood management expert Lance Trewhella. Lance presents how to develop a successful, evidence-based, multidisciplinary PBM program aimed at optimizing the care of patients who might need transfusion.
Youâll learn:
⢠Current recommendations for blood transfusion utilization
⢠The impact of quality data on PBM programs
⢠Best data practices in PBM
This document discusses the evolving role of statisticians in clinical research. It begins with an introduction of the presenter. The presentation then outlines how statisticians contribute throughout the different stages of a clinical study, including study planning, start-up, maintenance, risk-based monitoring, data monitoring committees, end of study analysis, and reporting. It emphasizes that statisticians can add more value through activities such as data management programming, cross-study analyses, organizational statistics, and training. The presentation concludes by encouraging clinical research organizations to keep statisticians involved, ask them questions, and make full use of their skills and expertise throughout all phases of a clinical study.
Purpose of the Call:
Call attendees will learn:
â˘About the importance of participating in MedRec Quality Audit Month
â˘How to participate in MedRec Quality Audit Month
â˘About the use of the MedRec Quality Audit tool (i.e. who should use it and how)
â˘Tips on the proper use of the tool and the Patient Safety Metrics System
â˘Where they can access MedRec Quality Audit Month tools and resources
Access the webinar: http://bit.ly/1xVtmDn
This document discusses value-based pricing and "innovative agreements" between the pan-Canadian Pharmaceutical Alliance (pCPA) and pharmaceutical manufacturers. It notes that performance-based agreements that tie the price of drugs to health outcomes present both challenges and opportunities. Challenges include implementing systems to track outcomes and determining which outcomes are measurable and attributable to the drug. Opportunities include structuring agreements for small patient populations and tying rebates to uncertainty in outcomes. The document argues that value-based pricing requires involvement from public drug plans, patients, and manufacturers to address these challenges and realize the opportunities.
CADTH is a not-for-profit organization funded by Health Canada and provincial/territorial governments. It conducts health technology assessments of drugs and devices, employs 190 staff in Ottawa and Toronto, and is involved globally in health technology assessment. CADTH provides decision-makers with objective evidence on clinical and cost effectiveness to promote optimal use of health technologies and build domestic assessment capacity. While quality-adjusted life years are important, health technology assessment considers additional societal perspectives. Adaptive licensing and pathways prospectively plan iterative evidence gathering and regulatory/coverage adaptations to balance early access and assessment of uncertainties using real-world data across sectors.
The document discusses the National Institute for Health Innovation in New Zealand and its goals of developing health technologies, improving health outcomes, and strengthening the health system. It describes several initiatives, including creating a Health Data Interoperability Laboratory to facilitate adoption of interoperability standards, examining use of prediction tools for cardiovascular disease and diabetes, and developing business intelligence tools and quality reporting for healthcare providers. The overall aim is to empower citizens through supported self-management and appropriate consumer technologies.
The document discusses the challenges of managing a newly merged clinical service at the Royal National Throat, Nose and Ear Hospital. It provides examples from managing the delivery of streamlined pathways and information for an ophthalmology case study. Key challenges include differences in work methods between sites, communication breakdowns, resistance to change, and meeting targets across locations. Possible solutions proposed are allowing flexibility and autonomy, clear communication lines, training, centralized electronic systems, and defining clear job roles and decision-making processes.
ROLE OF TECHNOLOGY IN PROMOTING QUALITYLallu Joseph
Â
This document discusses the role of technology in promoting quality in healthcare. It outlines some key challenges in quality improvement such as gap analysis, preparing and updating manuals and standard operating procedures, training, and equipment management. The document then describes how technology can help address these challenges by enabling easier version control of documents, online training modules and records, inventory and maintenance of equipment, electronic medical record documentation and review, incident reporting, and indicator tracking and analysis. The benefits of using technology include establishing quality systems, empowering staff, increasing accountability, involving stakeholders, reducing paperwork, providing real-time data to management, fostering an open culture, and ultimately enhancing patient safety.
Data Governance for Real-World Evidence: Cross-country differences and recommendations for a governance framework
Cole, A., Garrison, L., Mestre-Ferrandiz, J. & Towse A.
Gavin MacColl: Anticipatory care planning in primary careNuffield Trust
Â
This document discusses SPARRA (Scottish Patients at Risk of Readmission & Admission), a risk prediction algorithm, and its use in identifying high-risk patients for anticipatory care planning (ACP) in primary care practices. It provides an overview of SPARRA, how practices can use SPARRA risk scores to target patients for ACPs, and details on evaluating ACPs and related Quality and Outcomes Framework indicators. The document also addresses practical considerations for practices in accessing SPARRA data and limitations of the current SPARRA model.
This document summarizes a study on bibliometric trends in health economic evaluations in sub-Saharan Africa. The study analyzed 345 articles from the NHS EED database to characterize economic evaluations and examine collaboration patterns. It found that evaluations mostly addressed HIV, malaria, and tuberculosis, and focused on treatment interventions. While sub-Saharan authors frequently collaborated with other African researchers from their own country, collaboration between African countries was weaker than with the US and Europe. The study concludes collaboration across African countries should be promoted to support evidence-based decision making.
Adding Value to the EMR: A Clinical PerspectiveHealth Catalyst
Â
Known for leading large-scale healthcare improvement using data and analytics to drive positive change, Dr. Charles Macias speaks to creating greater value in the EMR through analytics. This approach has done more to increase value than many other cost-reduction efforts.
In this webinar you will 1) Explore each component of the value equation, 2) learn how TCH has increased the value of its healthcare using data to drive quality an ever more important need of those facing capitated or valueâbased care reimbursements and 3) consider a new ROI equation for systems who have invested heavily in their EMRs
The document discusses enabling information sharing across health and care through open interfaces, APIs, and standards. It outlines current priorities like using NHS Number as the primary identifier and sharing discharge summaries electronically. The goal is to develop shared care records, patient record indexes, and open access to national systems through APIs. This will support new models of integrated care. The document also provides examples of how real-time access to structured clinical information can help with tasks like medication management, prescribing alerts, and pre-operative assessments.
It's been a little while since I saw a new payment/delivery model that I was seriously excited about! I really love where CMMI and the MRT are taking things
1) The organization made progress in 2008/09 by starting local reporting on quality and governance issues but faced challenges around consistency of information.
2) In 2009/10, they aimed to continue improving risk management, evidence-based practices, and outcome measurement across services, while addressing challenges around clinical governance models and staff time allocation.
3) A new integrated risk register system was being introduced that was hoped to provide more dynamic reporting to better inform quality improvement efforts.
The document outlines a national service framework to deliver better patient outcomes and value through the implementation of clinical best practices across the NHS. It describes setting national standards and guidance to be achieved over 10 years, with local care pathways developed using evidence-based practices. IT systems and workforce solutions will provide management information and support integrated patient care. National bodies will provide products, guidance, and evidence on best practices to support local transformation to higher quality, sustainable models of care.
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
This position involves overseeing drug safety and pharmacovigilance programs to ensure compliance with regulations. Major responsibilities include managing adverse event reporting, reviewing safety reports, designing safety plans for clinical trials, monitoring data safety committees, performing risk assessments, and maintaining safety databases. The ideal candidate has 10-15 years of experience in pharmacovigilance at large pharmaceutical or biotech companies and knowledge of FDA safety requirements and MedDRA terminology.
Whatâs Next?Practical Implementation Lessons from the Partnership for HIV-Fr...MEASURE Evaluation
Â
The document summarizes lessons learned from the Partnership for HIV-Free Survival (PHFS) project in preventing mother-to-child transmission of HIV. It provides an overview of PHFS evaluations and outlines key components of the PHFS approach, including keeping mother-baby pairs together, integrated services, quality improvement techniques, and community engagement. The document proposes developing a "how-to" guide sharing these lessons to help countries improve their PMTCT and pediatric HIV programs. The guide would include descriptions of PHFS components and checklists to help facilities prepare for, launch, sustain, and expand the PHFS approach.
This document provides an agenda and overview for a presentation on coordinating patient services to improve satisfaction. The presentation discusses WellSpan Health's efforts to coordinate scheduling across different departments and systems. It outlines challenges in coordinating imaging, registration, and other services across 11 different scheduling systems. WellSpan implemented a new coordinated scheduling system to integrate these systems and resolve conflicts. This improved patient satisfaction by reducing wait times and allowing physicians to schedule from their offices. The presentation discusses expanding this coordinated approach to other areas and creating complete patient itineraries.
Patient Blood Management: Impact of Quality Data on Patient OutcomesViewics
Â
Patient blood management (PBM) has been proven to improve patient outcomes and save hospitals millions of dollars. Ensuring the quality of your data is central to decision making and critical to having a strong PBM program.
Would you like to learn how your organization can improve patient outcomes by implementing a PBM program based on accurate data?
If so, view this presentation by blood management expert Lance Trewhella. Lance presents how to develop a successful, evidence-based, multidisciplinary PBM program aimed at optimizing the care of patients who might need transfusion.
Youâll learn:
⢠Current recommendations for blood transfusion utilization
⢠The impact of quality data on PBM programs
⢠Best data practices in PBM
The document discusses diagnosing healthcare systems as one would diagnose a patient's illness. It advocates taking a holistic, systemic view of the entire healthcare organization and assessing symptoms, environmental factors, and root causes of any issues in order to develop effective, long-term solutions. The key is treating the organization as a complex system with many interconnected parts and prioritizing the most critical areas for improvement through data analysis, cross-functional teams, and an integrated strategy. A case study example demonstrates how analyzing existing hospital data on procedures like joint replacements can reveal opportunities to streamline processes, reduce costs and variation, and improve outcomes.
Building Data Driven Workflows in HIM: More than just an EHRJenniferTen22
Â
You'll gain a deeper understanding of EHRâs data demands and clinical intelligence limitations by understanding how NLP harmonizes clinical information, structured and unstructured.â¨
This document outlines how nurse-led clinics can be established in general practices to manage preventative health and chronic disease care through a team-based approach. It discusses recruiting target patient populations, conducting assessments, developing care plans, involving GPs, using software and templates, billing appropriately, and establishing recall systems. The goals are to expand services, improve outcomes, and utilize nurses' clinical expertise while enhancing practices' competitiveness. Close collaboration between nurses and GPs is emphasized.
In this full-day tutorial, you will learn basic overview of electronic medical records systems, health data management and how you can use the OpenMRS system for data and information management. We will cover basics of installation, user management, location management, patient dashboards and some interesting features that are provided by different modules. You can see how OpenMRS can be customized with different modules that are suitable for different contexts. This tutorial is helpful for new users and developers who would like to know the features of OpenMRS. Individuals who would like to evaluate and try to see if OpenMRS fits their healthcare needs will also benefit from this tutorial.
Health innovation think tank key takeawaysGary Grimes
Â
The document provides key takeaways and best practices for value-based care, connected health, and virtual care from a health innovation think tank. It discusses transitioning to value-based models, using data to address chronic conditions, connecting patients to community resources, and taking on appropriate levels of risk. It also emphasizes integrating connected health strategies and designing virtual care as part of the overall care model. The document outlines future goals of improving communication across organizations, enhancing patient engagement through technology, and reimbursing telehealth services.
Dignity Health is one of the largest health systems in the US, founded in 1986. It operates 39 hospitals and has over 56,000 employees. The presentation discusses Dignity Health's population health management strategy and supporting data and technologies. It outlines their clinical integrated networks and the key pillars of their population health approach. It also describes the challenges of accessing and integrating data from multiple sources to support population health management goals.
ITS IMPORTANT TO MEET THE COMPETENCES (Thats how they evaluate the mariuse18nolet
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The document provides instructions for developing an evidence-based plan for one component of a nurse-run heart failure outpatient clinic aimed at reducing hospital readmissions. The clinic will provide patient education, monitor health indicators, and coordinate care post-discharge. Students must choose to develop an orientation course plan, discharge education plan, or care coordination plan. They are to include objectives, topics, accountability measures, and explain how the plan aligns with heart failure guidelines and professional standards. The goal is to ensure patients understand how to manage their condition and indicators are in place to evaluate the plan's effectiveness in reducing readmissions.
Integrated Health Information to Examine, Empower and EngageH-Connect Compusoft
Â
Electronic Ecosystem to build a universal Electronic Health Record and Health information exchange.
Deliver care through information technology,
Enhance health research, analysis & compliance
Improve efficiency, quality and reduce cost of healthcare. Online health records and Clinical Decision Support System (CDSS) at http://www.hconnect.co.in/
Dr Brent James: quality improvement techniques at the frontlineNuffield Trust
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Dr Brent James, Intermountain Institute for Healthcare Delivery Research, presents to the Health Policy Summit 2015 on delivering quality improvement techniques at the frontline.
Operations Management A CEO Checklist for High-Value H.docxvannagoforth
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Operations Management
A CEO Checklist for High-Value Health Care:
Ten Elements
Foundational elements
⢠Governance priorityâvisible and determined
leadership by CEO and board.
⢠Culture of continuous improvementâcommitment
to ongoing, real-time learning.
Infrastructure fundamentals
⢠IT best practicesâautomated, reliable information to
and from the point of care.
⢠Evidence protocolsâeffective, efficient, and
consistent care.
⢠Resource utilizationâoptimized use of personnel,
physical space, and other resources.
Care delivery priorities
⢠Integrated careâright care, right setting, right
providers, right teamwork.
⢠Shared decision-makingâpatient-clinician
collaboration on care plans.
⢠Targeted servicesâtailored community and clinic
interventions for resource-intensive patients.
Reliability and feedback
⢠Embedded safeguardsâsupports and prompts to
reduce injury and infection.
⢠Internal transparencyâvisible progress in
performance, outcomes, and costs.
What is Operations Management?
⢠The design, operation, and improvement of
the processes that create and deliver the
organizationâs services.
⢠The goal is to more effectively and efficiently
produce and deliver the organizationâs
services.
Healthcare Management
⢠The management of processes or health systems
that provide care to patients.
⢠The use of decision tools to manage and
improve processes.
⢠Functional roles:
â CEO
â COO
â CXO
â Mid-level manager
â Department or function manager
Health Care Operations Management
â Process improvement.
â Quality control and outcomes .
â Patient satisfaction.
â Financial operations â cost, reimbursement.
â Supply chain management â procurement, medical supplies.
â Human resources management â productivity, motivating
employees.
â Information systems management.
â Population health.
â Physician alignment.
â Governance.
â Strategy and operations.
System Decisions
System Design
ďCapacity.
ďLocation.
ďProximity.
ďService planning.
ďAcquisition and placement of
equipment.
System Operations
ďPersonnel.
ď Inventory.
ďScheduling.
ďProduct management.
ďQuality measurement
and assurance.
There are two groups of decisions:
Applicability to Health Care
⢠Patient is a participant in the process.
⢠Production and consumption occur
simultaneously.
⢠Uncontrollable capacity.
⢠Site selection is dictated by patient location.
⢠Labor intensive.
INTRODUCTION TO PROCESS IMROVEMENT
Process or Performance Improvement
⢠Scientific management
â Mass production
⢠TQM, CQI, Six Sigma
⢠ISO 9000
⢠Lean
⢠Six Sigma
Background
⢠Scientific Management Techniques (1910s) â Frederic W. Taylor
⢠Standardization â Frank & Gillian Gilberth
⢠Psychological Effects of Work Conditions â Henry Gannt
⢠Quantitative Inventory Management (1915) â F.W. Harris
⢠Quality Control & Sampling (1930s) â W. Shewhart
⢠Operations ...
A joint presentation on Real People, Real Data at the 2016 International Forum on Quality and Safety in Healthcare in Gothenburg, Sweden. Presented by Leanne Wells of the Consumers Health Forum of Australia; Sam Vaillancourt of St. Michaelâs Hospital, Toronto, Canada, and; Dr Paresh Dawda of the Australian National University.
NTTAP Webinar Series - December 7, 2022: Advancing Team-Based Care: Enhancing...CHC Connecticut
Â
Join us as expert faculty outline the differences between case management, care coordination and complex care management to frame up a discussion on strategies to leverage effective models for both in-person and remote services.
Expert faculty will discuss the role of the medical assistant and the nurse in care management, as well as how standing orders and delegated orders support this work. This session will discuss how telehealth and remote patient monitoring enhancements can support complex care management for patients with chronic conditions.
Participants will leave this session with the knowledge and tools to begin or enhance implementation of chronic care management by enhancing the role of the medical assistant, nurse and the technology that supports the clinical care.
Panelists:
⢠Mary Blankson, DNP, APRN, FNP-C, Chief Nursing Officer, Community Health Center, Inc.
⢠Tierney Giannotti, MPA, Senior Program Manager, Population Health, Community Health Center Inc.
The HIMSS mHealth Physician Task Force's How-to-Guide will help both clinicians and C-suite executives identify which mobile tools are needed and worth investing in.
This lecture discusses the latest in EMS Best practices and industry technological innovations and is an updated version from the Best Practices in EMS presentation from 2009 OAMTA conference.
Health care management- a young challengeSunil Joshi
Â
The document discusses hospital planning and administration. It begins by defining a hospital and the roles of various healthcare professionals. It then covers topics like hospital organization, managing patient care, support services, and administrative responsibilities. Key aspects of hospital planning discussed include need analysis, site selection, equipment planning, interior design, and managing quality patient care. The document emphasizes the importance of policies, guidelines, staff training, and monitoring in delivering efficient patient care services.
1. The document discusses the scope, definition, and conceptual model of health information systems (HIS). It describes the progression and maturation of HIS from foundation to use, learning, and change.
2. HIS are used extensively in various organizational and community settings like hospitals, clinics, insurance companies, and public health organizations. They support healthcare delivery, administration, research, and policymaking.
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Using the Electronic Medical Record to Drive Improved Patient Outcomes
1. Eric Herman, MD
Medical Director, Population Health
Family Physician, Kent Clinic
MultiCare
Using the EMR to Drive
Improved Patient Outcomes
2. Overview
â˘The EHR as a clinical tool
â˘EHR Clinical Improvement Checklist
â˘Example at MHS
â˘Conclusion & Questions
2 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
3. The EHR as a Clinical Tool: X-ray Analogy
⢠Albeit extraordinarily powerful, it is a merely a software application
â Like an X-ray is directed radiation, EHRs is a directed database of information.
â Only as good as someone else programs it: âGarbage in -> Garbage Outâ.
â Computers are NOT medical decision makers â People are!!
⢠Before you dive, learn the intended use, capacities, and limitations
â Radiologic competencies required time and training to understand the tool and
processes.
â EHR is also a tool, with risks and benefits. (See EHR Clinical Innovators Checklist)
⢠Insist on an excellent instructor / liaison
â Right IT liaison for a non-techy doc = Right doctor for a complex patient.
â Research your Organization: Is there a Clinical Informatics MD on your team?
â Donât be afraid to push the envelope; Our patients deserve it.
3 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
4. The EHR as a Clinical Tool:
Framing the Right Questions
⢠Are You in Alignment with Your Organizationâs Goals & Vision
â What are goals: More high level, 10,000 ft. view.
â What are your objectives: Measurable processes and/or outcomes.
â Triple AIM is a valuable litmus test. (Quality; Patient Experience; Cost)
â Critical for resources, overcoming barriers, delays, unmet expectations.
⢠Who will be the target audience
â What is the value of your effort and outcomes to them?
â Are you speaking their language and their culture?
â Will your approaches be easily adopted by all stakeholders?
4 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
5. The EHR as a Clinical Tool:
Form Follows Function â EHR Follows Operations
⢠Even if you had the most valuable data at your fingertips,
do you know how to be successful with it!
â Like ordering a study, what will you do with the results afterwards.what will you do with the results afterwards.
â Your success depends on a healthy partnership with operations
⢠Collaboratively plan your steps with your operational team.team.
â Set the clinical stage to capture the right data.
â Support workflows necessary for targeted interventions.
â Perform invaluable work on behalf of clinicians.
â Analyze outcomes and variances.
â Training everyone to do the above correctly
â They will identify critical success factors unknown to you.
5 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
6. Readiness Assessment Checklist
Comprehensive Considerations Critical To Success
See Referenced Handout
6 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
7. CHF Example: Multicare Health Systems
⢠Goal = Improve Triple Aim for CHF Pts
â Improve quality of care, patient experience of care,
and cost of care for patients at a pilot PCP office.
(n=196; ~ 6.0 Provider FTEs [FP/IM]).
⢠Outcomes:
â Appropriate ACE/ARB & Beta Blocker Management.
â Decrease CHF Readmissions.
7 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
8. CHF Example: Multicare Health Systems
⢠Stakeholders
â Clinicians (Primary Care & Specialists; IP/OP/ED)
â Clinical collaboratives; Hospice and palliative care
â Executive sponsors and administrators
â Clinical operations
â Clinical care coordinators and home health
â Patientâs and their families
8 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
9. CHF Example: Multicare Health Systems
⢠Processes
â Establish the clinical best practices
â Determine the outcomes of interest
â Determine the interventions, resources, and workflows
to facilitate best practices
⢠Work extensively to research all IT/Operations processes
â Pilot the interventions (Plan, Do, Check, Adjust)
â Diffuse what was of value (Dashboards & Pop Health)
9 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
10. CHF Example:
CHF Dashboards â The New Workhorse
⢠Most relevant content immediately available.
⢠LEAN design with further detail dives.
⢠Valuable for clinicians, patients, and staff
⢠Focused on the content NOT than the EHRFocused on the content NOT than the EHR
10 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
11. 11 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
12. 12 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
13. CHF Example: Outcomes
⢠Beta Blocker Chemoprophylaxis (LVEF < 40%)
â 26 of 26 patients = 100%
⢠ACE/ARB Chemoprophylaxis (LVEF < 40%)
â 25 of 27 patients = 93%
⢠Readmissions
â Internal = 0% in a recent rolling 12-month time frame
â External = ? Pending further investigation
⢠Diffusion
â Dashboards now available in production
â Best Practice Workflows being considered for system-wide
processes
13 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
14. CHF Example: Challenges
⢠Data clean up (Problem List; CHF Stage / Class).
⢠IT Enhancement Requests (Discrete Stage / Class / EF).
⢠Pharmaceutical data dependent on third party.
⢠Availability of External Data.
⢠Keeping all stakeholders informed.
⢠Education of technical and operational innovations.
⢠Challenges isolating the effectiveness of a specific
intervention.
14 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
15. Next Steps For Dashboards
⢠Published dashboards for DM, HTN, Depression
⢠Prioritize new dashboards (CKD, Chronic PainâŚ)
⢠Consideration of a SuperDashboard (Life Care Plan)
15 | Creating Healthier Communities | Best practices for managing high-risk clinical populations
16. Conclusion
⢠Love the EHR, butâŚ
â Understand what it can and canât do
â Be careful what you ask for
â Be nice, oh so nice, to your operations team
â Be true to the triple aim and clinical best practices
â Think outside the EHR box toThink outside the EHR box to innovative systems of careinnovative systems of care
16 | Creating Healthier Communities | Best practices for managing high-risk clinical populations