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Enhancing Healthcare Quality Reporting Through Technology: Key Strategies for Improvement

This presentation by Mike Hindmarsh from Hindsight Healthcare Strategies focuses on the paramount role of technology in improving healthcare quality reporting. Emphasizing that "you cannot improve what you cannot measure," it offers actionable insights on gathering and analyzing data from Electronic Medical Records (EMR). Attendees will learn how to define their target populations, create effective queries, and utilize evidence-based guidelines to establish relevant performance measures. The session aims to empower healthcare professionals to use data effectively for measurable improvements in patient care.

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Enhancing Healthcare Quality Reporting Through Technology: Key Strategies for Improvement

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  1. Quality Reporting and Improvement Using Technology Mike Hindmarsh Hindsight Healthcare Strategies Cincinnati, OH June 18, 2010

  2. How Do We Know That a Change is an Improvement? “When you can measure what you are speaking about and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind.” Lord Kelvin, May 3, 1883

  3. Measuring Performance for Improvement • We cannot improve what we cannot measure • IT is a critical success factor in gather improvement data • Understanding how to get data out of your EMR is essential • Garbage in, Garbage out • “Why bother, I’m doing okay in practice!”

  4. Sometimes gathering data can bring new and surprising knowledge!

  5. Different Purposes for Measurement

  6. Getting Started:Identify your population • Create a query that identifies the population (e.g., ICD-9 codes) • Be sure to code populations the same way. • Don’t “over-worry” about the accuracy of case finding: you can clean it up as you go. • Get baseline data in the easiest, fastest fashion possible…..if it’s hard to program, leave it for later! • Don’t obsess about baseline data accuracy! • Select measures that you can impact and have clinical relevance

  7. For Each Measure • Use measures from evidence-based guidelines • Create concrete operational definitions to capture data from you IT in a reliable, consistent manner • Use the reporting template to display your measures as quickly as possible. • Set goals based on evidence or best pratice • Gather data monthly (quarterly at a minimum!)

  8. Example of Improvement Measures: Diabetes • % with A1c<7 • % with BP<130/80 • % on ACE1 or ARB • % with LDL<2.0 nmol/l • % screened for microalbumen • % with eye screen in last 24 months • % with foot exam in last 12 months • % with A1c in last six months • % with documented self-mgmt goals in medical record

  9. Annotated Time Series

  10. “This type of data reporting isn’t reliable!!” • Yes it is….for quality improvement purposes! • Trending is what you are looking for…not statistical reliability. • Your “goal” is to improve population outcomes over your usual care by changing care for every patient: the annotated time series (run chart) will tell you if you are succeeding!

  11. Improvement in Glycemic Control Percent of (Patients with HbA1c >9 in Clinic A)

  12. Improvement in Glycemic Control (% of Population with HbA1C >9 in Clinic A)

  13. Improvement in Glycemic Control (% of Population with HbA1C >9 Clinics B and C)

  14. Improvement in Glycemic Control (% of Population with HbA1C >9 in Clinic B)

  15. Improvement in Glycemic Control (% of Population with HbA1C >9 in Clinic C)

  16. Run Charts of Monthly Measures - Diabetes Population

  17. Summary • Define your population with carefully thought out queries • Obtain baseline data on relevant measures through structured queries • Produce regular reports for improvement activities • Set targets/goals for imporvement based on best practice • Be ambitious!

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