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Chapter 7: integrating data for operational success. Jamie Duffy ETM 568/ Dr. Burtner. Presentation Summary. Acronyms Different Data Tells Different Stories About Care Case Example: FMEA and Blood Transfusion Quality and Risk Overview. Acronyms. AMA - Against Medical Advice

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Chapter 7 integrating data for operational success

Chapter 7: integrating data for operational success

Jamie Duffy

ETM 568/ Dr. Burtner


Presentation summary
Presentation Summary

  • Acronyms

  • Different Data Tells Different Stories About Care

  • Case Example: FMEA and Blood Transfusion

  • Quality and Risk

  • Overview

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


Acronyms
Acronyms

  • AMA- Against Medical Advice

  • CABG-Coronary Artery Bypass Graph

  • CEO- Chief Executive Officer

  • CMI- Case Mix Index

  • CMS-Centers for Medicare and Medicaid Service

  • DRG-Diagnosis Related Group

  • FMEA- Failure Mode and Effects Analysis

  • HMOs-Health Maintenance Organizations

  • ICD- International Classification of Disease

  • ICU- Intensive Care Unit

  • LOS- Length of Stay

  • LWBE- Leave Without Being Evaluated

  • NCHS-National Center for Health Statistics

  • RCA- Root Cause Analysis

  • SSI- Surgical Site Infection

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


Different data tell different stories about care
Different Data Tell Different Stories About Care

  • Using a report card

    • “How do you feel?” = Probability of recovery

    • Compares hospitals

    • Can explain results and introduce areas of improvement

  • Visit IPRO.org to compare hospitals and assess quality levels

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


Case example fmea and blood transfusions
Case Example: FMEA and Blood Transfusions

  • Nurse drew blood from the correct patient and then postponed labeling the vial, which then resulted in a later incorrect labeling.

  • Steps:

    • Someone from the parents floor must collect the blood and verify the accuracy of the blood type and the patient.

    • Then two clinicians have to verify that the correct blood type is being administered.

  • JCAHO suggests some help to reduce risk of error

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


Quality and risk
Quality and Risk

  • It is hard to argue with data.

  • It is essential that people have the ability to accept objective information and not hide from the facts.

  • Remember that people can accept financial failures more easily than clinical errors.

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


Overview
Overview

  • Integrated data provides information for long-term strategic planning.

  • Quality data is publicized on the web and reported through media.

  • Data helps staff evaluate and make decisions about their performance and promote accountability.

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


Thank you
THANK YOU!

Measuring Health Care: Using Quality Data for Operational, Financil, and Clinical Improvement by Yosef D. Dlugacz


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