The Use of Decision Support Systems in Continuous Quality Improvement Janice Kaczmarek Susan Lovejoy.

Slides:



Advertisements
Similar presentations
Dr. Hamda Qotba, M.D,MFPH,FFPH
Advertisements

Shared Decision Making – a strategic framework for commissioners 2 May 2012.
Patient Navigation Breast Health Patient Navigator Program.
November 26, Fall Forum Alberta’s Pharmaceutical Strategy and Programs Policy Recommendations.
TIGER Standards & Interoperability Collaborative Informatics and Technology in Nursing.
NURSING INFORMATICS Dr. Ali M. Hadianfard Faculty member of AJUMS
99.98% of the time patients are on their own “The diabetes self-management regimen is one of the most challenging of any for chronic illness.” 0.02% of.
Establishing Financial Direction
FORMS FOR THE FUTURE CTBCP Annual Meeting March 20, 2014 Maryland Department of Health and Mental Hygiene Prevention and Health Promotion Administration.
Informatics And The New Healthcare System Information Technology Will Provide the Platform for Quality Improvement in Healthcare for the 21 st Century.
Countervailing Powers: The Changing Character of the Medical Profession in the U.S. James G. Anderson, Ph.D. Purdue University.
The Role of Information Technology For A Private Medical Practice Noel Chua Rosalinda Raymundo.
Nursing Quality Assurance Issues in CVVH Timothy L. Kudelka, RN, BSN Pediatric Dialysis Program C.S. Mott Children’s Hospital University of Michigan.
[Hospital Name | Presenter name and title | Date of presentation]
Chapter 2 Electronic Health Records
Together we’re better Working in partnership with our patients, communities & GP member practices to continually improve quality of care & to support people.
QIO Program Overview December 6, About VHQC Private, non-profit healthcare consulting and quality improvement organization More than 60 experienced.
Quality Improvement Prepeared By Dr: Manal Moussa.
DR EBTISSAM AL-MADI Consumer Informatics, nursing informatics, public health informatics.
WHAT IS CQI? Contact the CQI Committee: (360)
Unit 6b: Clinical Decision Support Systems that Help Improve Quality Decision Support for Quality Improvement This material was developed by Johns Hopkins.
Unit 6.2: Clinical Decision Support Systems that Help Improve Quality Decision Support for Quality Improvement Component 12/Unit 6.21Health IT Workforce.
The Promise and Peril of Electronic Health Records Cari Weishaar Final Project 12/8/11.
Paula Peyrani, MD Medical/Project Director, HIV Program at the 550 Clinic Assistant Director, Research Design and Development Clinical and Translational.
Organization Mission Organizations That Use Evaluative Thinking Will Develop mission statements specific enough to provide a basis for goals and.
 Definitions  Goals of automation in pharmacy  Advantages/disadvantages of automation  Application of automation to the medication use process  Clinical.
Presenter-Dr. L.Karthiyayini Moderator- Dr. Abhishek Raut
JCAHO UPDATE June The Bureau of Primary Health Care is continuing to encourage Community Health Centers to be JCAHO accredited. JCAHO’s new focus.
Methods for Improving and Measuring Quality of Care California Research Colloquium on Workers’ Compensation May 1, 2003 Liza Greenberg, RN, MPH.
Quality Improvement & Data Systems for Performance Excellence Board and Executive Learning Series June 2, 2012 Lucy A. Savitz, Ph.D., MBA Director of Research.
Coordinating Care Sierra Dulaney Lisa Fassett Morgan Little McKenzie McManus Summer Powell Jackie Richardson.
1 Visioning the 21 st Century Health System Kenneth I. Shine, MD National Health Information Infrastructure 2003: Developing a National Action Agenda for.
UNIT 5 SEMINAR.  According to your text, in an acute care setting, an electronic health record integrates electronic data from multiple clinical systems.
Natacha Fernandez-Ureña, Database Manager Jose Hernandez, Supervising Case Manager Shannon Skinner, Coordinator for Testing & Linkage to Care Dustin Przybilla,
Health Care Facts and Guiding Principles for Health Care Reform Public Employees Union, Local #1.
CAS Seminar on Health and Managed Care Benchmarking Measures and Quality Control October 18-19, 1999 page CAS Seminar on Health and Managed Care.
CDI Prevention in Long Term Care Collaborative Welcome and Project Overview Deborah Quetti RN, MBA, BSN, CPHQ April 9, 2014.
N222Y Health Information Technology Module: Improving Quality in Healthcare and Patient Centered Care Looking to the Future of Health IT.
Maine State Innovation Model (SIM) August 2, 2013.
Health Management Information Systems
The WHO HIV Drug Resistance Strategy Presented by Dr. Don Sutherland Prepared by: Dr. Don Sutherland Dr Silvia Bertagnolio Dr Diane Bennett HIV Drug Resistance.
Managed Care. In the broadest terms, Kongstvedt (1997) describes managed care as a system of healthcare delivery that tries to manage the cost of healthcare,
Handbook for Health Care Research, Second Edition Chapter 3 © 2010 Jones and Bartlett Publishers, LLC CHAPTER 3 Outcomes Research.
Payment and Delivery Reform Virginia Health Care Conference June 6, 2013.
Unit 5 HS Adrienne Palmer, BSPH, MHA, FACHE.
UNDERSTANDING AND DEFINING QUALITY Quality Academy – Cohort 6 April 8, 2013.
Chapter 25 The Role of Quality Management in Accountability Fundamentals of Nursing: Standards & Practices, 2E.
Copyright © 2013, 2009, 2005 by Mosby, an imprint of Elsevier Inc. Chapter 19 Implementing Nursing Care.
Using Outcomes and other Assessment Tools to Improve Quality Quality Improvement.
UNIT-II CLINICAL DATA. UNIT-II CLINICAL DATA: Clinical Data, Application, Challenges, Solutions, Clinical Data Management System.
ASN 180 Transition to Professional Nursing Objective 4.
Quality Control Dr. Waddah D’emeh. Controlling Fifth and final step of the management process. Performance is measured against predetermined standards.
1 Convenient Care Clinic Summit Tine Hansen-Turton, MGA, JD Executive Director Convenient Care Association.
PRACTICE TRANSFORMATION NETWORK 2/24/ Transforming Clinical Practice Initiative (TCPI) Practice Transformation Network (PTN)  $18.6 million –
Share Our Selves Community Health Center Mary Ann Huntsman, PharmD, BCACP, CDE.
ADMINISTRATIVE AND CLINICAL HEALTH INFORMATION SYSTEM
Template for a 48”x36” poster Enabling Technologies and Processes
Wireless Access SSID: cwag2017
IT Solutions – Improving Timely Access to Health Care
One Approach to Bundled Payments
Dawn Drahnak, DNP, RN, CCNS, CCRN, Courtney Boast, BS
Strategies to Reduce Antibiotic Resistance and to Improve Infection Control Robin Oliver, M.D., CPE.
1st International Online BioMedical Conference (IOBMC 2015)
About the Client Challenges
Chapter 16 Nursing Informatics: Improving Workflow and Meaningful Use
Strategic Planning 3/31/2016.
CLINICAL INFORMATION SYSTEM
Surgical Champion Tool Kit
Risk Stratification for Care Management
Impact of quality on day-to-day efforts of PHC
Presentation transcript:

The Use of Decision Support Systems in Continuous Quality Improvement Janice Kaczmarek Susan Lovejoy

Problem with CQI in Health Care  Many healthcare organizations have implemented quality improvement measures as a means to improve outcomes, but do not have an information tracking system to: –Analyze clinical data –Monitor utilization and costs –Track outcomes

Intermountain Health Care “Given that ‘you manage what you measure,’ we have to extend our efforts beyond the financial measures that have traditionally driven healthcare delivery systems.” Dr. Brent James, V.P. Intermountain Health Care’s Medical Research

What is Driving the Need for CQI?  Provider accountability by insurers, consumers, government  Need to eliminate unnecessary treatment and procedures  Attempt to minimize the large variations in practice patterns  Control medical expenses  Improve patient outcomes

What is CQI?  Continuous Quality Improvement: strategies or methods used to improve upon existing systems or techniques in an effort to provide better quality products and/or services to consumers.  CQI is not limited to health care, it has been used throughout the centuries in all types of industries.  Other Names –Total Quality Management (TQM) –Quality Assurance (QA) –Quality Improvement (QI)

Clinical QI at IHC Clinical Project Fast track extubation in TICU Long-term Ventilator management HFOV (RDS in premature newborns Shock Trauma Respiratory ICU Antibiotic Assistant Pediatric ICU Infection prophylaxis in surgery Adverse drug event prevention Community-acquired pneumonia Ventilator support for hypoxemia Group B strep sepsis of newborn Cost Structure Improvement $5.5 $4.7 $3.7 $2.5 $1.2 $.7 $.6 $.5 $.3 $20.7

Tools for Quality Improvement  Plan-Do-Check-Act Cycle (PDCA)  Guidelines  Clinical/critical pathways  Computer-based clinical decision support systems (CDSS) –Alerting Systems –Assisting Systems –Critiquing Systems –Diagnosing Systems –Reminding Systems

Outcomes-FYI  Outcomes are states or conditions of individuals and populations attributed to antecedent health care.  Not a direct reflection of quality of care.  Relationship between process and outcome is a probability and may be modified by factors other than health care.  Large sample sizes required to obtain results that are meaningful, which take a long time to collect.

Three Classes of Outcomes  Physical Outcomes –Complications –Changes in biological function –Functional status measures  Service Outcomes –Satisfaction surveys  Cost Outcomes

NovaMedica Application  Clinical Performance Improvement Package  Developed in collaboration with Intermountain Health Care.  Designed to track clinical performance and patient outcomes.  Utilized by clinicians, managers other members of Intermountain as outcomes, educational, and marketing tool.

Example of NovaMedica

Gaps in Existing Approaches  Lack of integration of current systems  Inability to generate useful information with existing system  Lack of consensus on most meaningful outcomes measures  Limited implementation of electronic medical record  Resistance to utilize information systems for outcomes purposes

Potential Solutions  Investment in information system integration, including the electronic medical record  Consensus on a limited set of appropriate outcome measures  Increased education to provider community on the benefits of electronic outcomes tracking