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Survey of Medical Informatics CS 493 – Fall 2004 November 8, 2004 V. “Juggy” Jagannathan.

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Presentation on theme: "Survey of Medical Informatics CS 493 – Fall 2004 November 8, 2004 V. “Juggy” Jagannathan."— Presentation transcript:

1 Survey of Medical Informatics CS 493 – Fall 2004 November 8, 2004 V. “Juggy” Jagannathan

2 Quality Improvement and Proactive Hazard Analysis Models: Deciphering a New Tower of Babel Appendix F: Patient Safety - Achieving a New Standard of Care. IOM Report

3 Quality improvement Two category of tools – page 473 table  Continuous quality improvement, six sigma and Toyota production system  Proactive hazard analysis tools – healthcare failure mode and effect analysis Shewhart and Deming analytical approaches

4 Tools brief Table D-1 pg 474 Table D-2 pg 476

5 Commonalities between the approaches Each tool is a scientific and statistical analytical approach to analyzing a process  Scientific  Decision driven by data  Process focus  Improvement focus  Prevention focus  Team approach

6 Common elements for QI tools Customer focus Waste reduction Empowerment Reducing errors to near zero Focus on control Organizational

7 Features of PHA tools Hazard score matrix Regulatory oversight – FDA Identification of critical process steps International standard Attempts to look broadly to identify hazards Attempts to identify rare multi-failure cases Fault trees and risk assessment Assignment of specific probabilities

8 IOM recommendation – establish a clearinghouse for process and methodological related information for healthcare

9 Hazard Analysis approach Identify high-risk process Create a process flowchart Assess implementation of process Assess variability of implementation and failure modes Assess effects of failures Root cause analysis of critical possible failures Redesign process to eliminate/reduce failures Recursive analysis of the overall redesigned process Evaluate process using simulation Evaluate process using pilots Identify and collect performance measures Monitor and implement a process of continuous improvement

10 Data requirements Error taxonomy  Impact  Type  Domain  cause

11 Case Studies


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