2011 cmio summit don levick
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This document discusses clinical decision support (CDS), which uses clinical knowledge and patient data to improve healthcare decisions. It outlines several types of CDS interventions like drug interactions checking and standardized order sets. Successful CDS requires delivering the right information to the right person in the right format through the right channel at the right time. Organizations should use CDS strategically to achieve priorities like reducing medical errors. The document provides recommendations for implementing an effective CDS program, such as gaining leadership support, appointing a champion, and continually communicating the program's value.
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Gen diff
1. Women admitted for acute myocardial infarction (MI) have 40-100% higher 30-day mortality compared to men, though this difference is reduced after adjusting for age and comorbidities.
2. Women receive fewer treatments for acute MI, and after adjusting for differences in characteristics and treatments through propensity score matching, there is no difference in mortality between men and women.
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Cmio nhin
The document discusses the Beacon Communities Program, which provided funding for 17 communities to build and strengthen their healthcare infrastructure and exchange of health information. It highlights the goals of the program to demonstrate better care through health information technology (HIT), support lasting learning networks, and provide best practices for other communities. An overview is provided of the stakeholders, HIE capabilities, and selected performance metrics of 9 Beacon communities.
Engaging patients through evidence based medicine
This document discusses engaging patients in medical decision making through evidence-based medicine. It provides examples of interventions that may increase patient engagement, such as encouraging question asking, providing access to medical records, and using decision aids and shared decision making. The document emphasizes that preference-sensitive decisions require time for real informing and deciding as there is no single right answer for all patients. It also discusses using shared decision making to help patients make informed medical choices that align with their values and priorities while improving health outcomes and decreasing overuse of unnecessary tests and procedures.
Forecast of Statin Market to 2018
The statin market is expected to decline significantly through 2018 due to increased generic competition following the loss of patents for major branded statins like Zocor and Lipitor, causing global statin revenues to drop from $20.5 billion in 2011 to an estimated $12.2 billion in 2018, with the U.S. market projected to plunge from $8.4 billion to $6 billion over the same period.
Pitfalls of the current bleeding definitions
1) Current bleeding definitions used in clinical trials vary significantly and this impacts the reported rates of major bleeding and its association with outcomes.
2) Most major bleeding definitions are associated with higher mortality, but the strength of this association depends on the specific definition used.
3) Less severe bleeding, such as transfusion of less than 4 units or hematomas, are also associated with higher mortality, though the risk is lower than for more severe bleeding.
4) Bleeding, even minor bleeding, results in lower use of evidence-based therapies like aspirin and clopidogrel after discharge from the hospital.
Resolute pages
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
Back to the future device evaluation cms view
CMS' mission is to ensure effective health care coverage and promote quality care for beneficiaries. CMS aims to achieve a transformed and modernized health care system. CMS must determine if a service should be covered, if payment was correct, and if the service was performed optimally while providing sufficient transparency. Coverage determinations involve assessing evidence based on improving outcomes and generalizability to Medicare populations. National Coverage Decisions are made through a multi-step evidence-based process involving technology assessments, public comments, and appeals that aim to respond to new safety or evidence changes.
Top trends overall
No change expected by majority (53%)
Increase expected by some (30%)
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How Clinical Decision Support Systems (CDSS) is the right tool for physicians?
How Clinical Decision Support Systems (CDSS) is the right tool for physicians?Eurostars Programme EUREKA
We believe that CDSS delivered using information systems, ideally with the electronic medical record as the platform, will finally provide decision makers with tools making it possible to achieve large gains in performance, narrow gaps between knowledge and practice, and improve safety.Big Data in Healthcare -- What Does it Mean?
Big data is more than just a buzzword in healthcare. It's the promise of being able to extract, cull, and interpret medical data to directly benefit population and individual health. learn more about the benefits of big data, roadblocks to leveraging it's potential, how Meaningful Use enablesbig data, what types of cross-country collaboration projects are advancing the use of big data on an international scale, big data's impact on patient privacy and much more! Special thanks to Mandi Bishop for her time on the podcast.
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Three analytics strategies enable health systems to focus on patients while also meeting the financial standards for VBC delivery:
1. Prioritize patient outreach by risk level.
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3. Promote data literacy.
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Health Information Exchange (HIE) allows health care providers to access and share a patient’s medical information securely and electronically, providing a unified view of patient data across health care organizations. HIE enhances clinicians’ workflow and their ability to connect, coordinate, and collaborate on patient care quickly and easily. However, health care organizations frequently struggle with last-mile connectivity from their clinical system of record to the receiving system and incorporating HIE capabilities into EHR workflows. This session will provide a framework for successful HIE onboarding including data access, conformance testing & validation, as well as share strategies for implementing HIE capabilities at the point of care. This session will also introduce the concept of Patient Centered Data Home and illustrate how the exchange of information utilizing the PCDH model is a cost-effective, scalable solution to assuring real-time clinical data is available whenever and wherever care occurs to improve the quality of care.
Guidelines For Policymaking, Regulations And Strategies,...
The document provides examples of clinical decision support systems (CDSS) that have been implemented and evaluated over the past 50 years. It discusses two early CDSS examples - De Dombal's system for acute abdominal pain from the 1970s and IBM Watson Health. The document also analyzes challenges with CDSS implementation, such as lack of interoperability with other health IT systems and technical barriers due to the lack of standardized systems. While CDSS aims to improve quality of care by facilitating evidence-based decisions, the systems have not fully delivered on promises to revolutionize medical practice due to various implementation challenges.
Smooth Transitions: Accelerating Coordinated Care from Concept to Reality
Smooth Transitions: Accelerating Coordinated Care from Concept to RealityNew York eHealth Collaborative
Providers know that successful care coordination is key to enhancing patient outcomes and better personalizing their experience. At its root, care coordination starts with effective communication, and healthcare organizations are increasingly turning to innovative technology solutions to solve their needs. To improve their care teams’ communication, coordination, and data capture capabilities, two of New York City’s leading healthcare organizations worked with two cutting edge tech solutions providers to design and implement innovative pilots as a part of the New York Digital Health Accelerator program. Utilizing real-life case studies, the panelists will discuss the design and implementation of the pilots, and lessons learned from their participation in the program.
• Anuj Desai - Vice President of Market Development, New York eHealth Collaborative
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• Patricia Meisner, MS, MBA - CEO & Co-Founder, ActualMeds
• Ken Ong, MD, MPH - Chief Medical Informatics Officer, New York Hospital Queens
• Victoria Tiase, MSN, RN - Director, Informatics Strategy, NewYork-Presbyterian Hospital
New York eHealth Collaborative Digital Health Conference
November 17, 2014The Role of Data Lakes in Healthcare
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Mass HIway Enrollment and Onboarding - May 8, 2014
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Clinical Decision Support System Impacts On Healthcare System
Clinical decision support systems (CDSS) integrate clinical knowledge and patient data to provide clinicians with patient-specific assessments or recommendations to enhance health care decisions. This document discusses the evolution of CDSS from standalone systems to integrated systems using standards-based models and service-oriented architectures. It also addresses the benefits of CDSS, including improved quality of care, health outcomes, and efficiency, but notes potential risks if not used properly, such as false interpretations of data.
whitepaper - bytes not books uk.ashx
Active clinical decision support (CDS) within medication management more effectively reduces adverse drug events compared to passive CDS. Active CDS provides dynamic alerts and recommendations directly within a patient's electronic health record at the point of care. Studies show active CDS improves clinical outcomes in 68% of trials by guiding clinicians to best practices. In contrast, passive CDS relies on clinicians to search for information without prompts, reducing its effectiveness. The whitepaper concludes active CDS should be the standard for medication management to improve patient safety worldwide.
Team Sol2 01 Health Care Informatics Power Point
The document discusses clinical information systems and their components. It provides an overview of electronic health records and describes key parts of a clinical information system including health information, order entry, decision support, and clinical documentation. It also discusses clinical decision making systems and their importance in reducing variation, costs, and improving diagnosis. Safety, education and costs related to clinical information systems are also evaluated.
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Healthcare by Any Other Name - Centricity Business Whitepaper
This document discusses new models of healthcare delivery such as accountable care organizations and integrated health organizations that aim to improve outcomes and reduce costs through greater coordination and integration of care. It summarizes that these models seek to address long-standing issues with the traditional fragmented healthcare system such as its focus on episodic treatment rather than prevention. Critical to enabling these new models is developing an information technology infrastructure that includes electronic medical records, revenue cycle management systems, clinical decision support, and health information exchange capabilities to facilitate data sharing and population health management.
Ethical Issues and Safety in the Use of Clinical Decision Support Systems (CDSS)
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Dss
This document discusses decision support systems (DSS) in healthcare. It begins by defining DSS as computer-based systems that aid decision-making. It then explains how DSS can help ensure correct medical diagnoses and reduce risks of drug reactions. The document also discusses how data warehousing and data mining are important components of DSS, allowing trends to be discovered in large datasets. Finally, it outlines some challenges in implementing DSS, such as high costs and debates around calculating costs and benefits.
Similar to 2011 cmio summit don levick (20)
How Clinical Decision Support Systems (CDSS) is the right tool for physicians?
How Clinical Decision Support Systems (CDSS) is the right tool for physicians?
Three Analytics Strategies to Drive Patient-Centered Care
Three Analytics Strategies to Drive Patient-Centered Care
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Best Practices for Enabling HIE and Incorporating Capabilities into EHR Workf...
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Guidelines For Policymaking, Regulations And Strategies,...
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1) Clinical Decision Support Services (CDSS) allow externalization of clinical knowledge and decision support logic from electronic health records (EHRs) to specialized CDSS providers.
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2011 cmio summit don levick
- 1. Where to Start and Where to Go Don Levick, M.D., MBA Medical Director Clinical Informatics
- 2. Clinical Decision Support is a process for improving health-related decisions and actions with pertinent, organized clinical knowledge and patient information. Information delivered can include a mixture of general clinical knowledge and intelligently processed patient data. Adapted from: Improving Outcomes with Clinical Decision Support: An Implementer’s Guide, Second Edition; HIMSS Press, in preparation
- 3. Drug-Drug Interactions Diagnostic decision support Drug-Allergy interactions tools Dose Range Checking Links to knowledge references (eMedicine, Standardized evidence National Comprehensive based ordersets Cancer Network ) Rules to meet strategic Links to local policies objectives (core measures, antibiotic Point of care reference usage, blood information (i.e. management) InfoButtons) Documentation templates Web based reference information Relevant data displays
- 4. Successfully applying CDS to improve a targeted objective requires that the ◦ right information be delivered to the ◦ right person in the ◦ right intervention format through the ◦ right channel at the ◦ right point in workflow.
- 5. • CDS should be used as a strategic tool for achieving an organization’s priority care delivery objectives. • These objectives are driven by: Internal needs (PI/QI, Med error reduction) External forces (Meaningful Use, P4P, TJC)
- 6. “Implement one clinical decision support rule relevant to specialty or high clinical priority along with the ability to track compliance to that rule.” ◦ Must use patient-specific information to offer diagnostic or treatment options to the provider within its logic. ◦ It must be conditional: the rule will produce a different action or different information, based on the patient- specific information. http://www.himss.org/content/files/CDS_MU_FAQ.pdf
- 7. • CDS interventions will impact workflow throughout the organization; therefore leadership at all levels must understand and support the efforts • A high level understanding of a CDS program should include an understanding of the “Five Rights of CDS” • CDS programs require ongoing investment of capital and personnel • A champion is required to be a change agent and lead the charge
- 8. • CDS should not be thought of as the only tool available to solve the organization’s problems. • There are clear limitations to CDS interventions
- 9. • The value of the CDS program to the organization must be consistently and continually communicated at all levels • Successful CDS programs implement interventions WITH the stakeholders, and not TO the stakeholders • Be aware of the continuum of intrusion • Impact on workflow and screen response time • Close monitoring of all CDS must occur regularly to ensure validity. • “If it can’t be measured, it can’t be managed” • Be prepared to deal with resistors and detractors, including the ability to answer to negative articles in the literature
- 10. Contact information: donlevick@ptd.net