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A Diabetes Outpatient Visit An Informatics View

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A Diabetes Outpatient Visit An Informatics View Paul Knudson, MD Associate Professor of Medicine Division of Endocrinology Office of Clinical Informatics – PowerPoint PPT presentation

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Title: A Diabetes Outpatient Visit An Informatics View


1
A Diabetes Outpatient VisitAn Informatics View
  • Paul Knudson, MD
  • Associate Professor of Medicine
  • Division of Endocrinology
  • Office of Clinical Informatics
  • Medical College of Wisconsin

2
Purpose of Data Management
  • Improve quality of patient care, by providing
  • Trend data for a particular patient
  • Trend data for a particular provider
  • Group data for a group of providers and
    organizations.
  • Health delivery quality transparency to public
    and payors.
  • Business uses pay-for-performance
  • Research new discoveries that impact patient
    care.

3
Nature of Data Capture
  • Discrete Data
  • Captured in the electronic health record database
    so as to be retrievable for reports, indexed in
    the database.
  • Non-discrete Data
  • Not indexed in the database therefore, requires
    great effort to extract for the documentation.

4
Epic
5
Definitions
  • EpicCare a database built using Caché called
    Chronicles. Also includes tools to input and
    report on data.
  • Caché a brand of database software using the M
    language.
  • M language also called MUMPS, a database
    language designed specifically for capturing
    medical records data in a rapid, transactional
    way. Allows for real-time data entry across a
    large enterprise.
  • Workbench real-time reporting tool to get data
    out of Caché database. Not for extensive
    manipulation of the data.
  • Clarity Epic relational database management
    tool. Information from Caché is transferred to
    Clarity, usually on a daily basis, not real-time.
  • Data Warehouse Relational, scalable, robust
    data repository. The data is not real-time. The
    data comes from multiple sources, not just Epic.

6
Within Epic
  • Some data is discrete, stored in the Caché
    database in a way that can be abstracted and used
    for reporting. For example,
  • Laboratory data
  • Diagnostic lists
  • Some data is stored as text, which is not
    discrete and very difficult to report on

7
Once in Clarity
  • Reporting on
  • Provider trends
  • Group trends
  • Quality benchmarking
  • Send to data warehouse

8
Goals of Visit
  • Collect and Review Clinical Data
  • Provide Quality Care
  • Document data to support clinical needs, quality
    (reporting) needs, and billing needs
  • Be efficient

9
Diabetes Mellitus VisitVisit Navigator
10
Diabetes Mellitus VisitVital labs snapshot
11
Diabetes Mellitus VisitBest Practice Alerts
12
Diabetes Mellitus VisitSmartText
13
Diabetes Mellitus VisitSmartText
14
Diabetes Mellitus Visit SmartText
15
Diabetes Mellitus VisitQuestionnaire
16
Diabetes Mellitus Visit
17
Future Development
  • Epic SmartForms
  • More flexible to capture discrete data
  • Might be integrated into the clinician work-flow
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