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Integrating Data for Operational Success in Healthcare: Insights from Jamie Duffy and Yosef Dlugacz

This chapter delves into the critical role of data integration in enhancing operational success within healthcare settings. Jamie Duffy and Yosef D. Dlugacz explore how different data sources can tell distinct stories about patient care. Case studies, such as Failure Mode and Effects Analysis (FMEA) in blood transfusions, illustrate the need for quality data to improve financial and clinical outcomes. The authors emphasize that objective data is essential for long-term strategic planning and accountability, aiding healthcare providers in evaluating performance and implementing necessary improvements.

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Integrating Data for Operational Success in Healthcare: Insights from Jamie Duffy and Yosef Dlugacz

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  1. Chapter 7: integrating data for operational success Jamie Duffy ETM 568/ Dr. Burtner

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

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

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