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Physician Reminder System PRS

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Title: Physician Reminder System PRS


1
Physician Reminder System (PRS)
  • Herbert Diamond, West Penn Hospital
  • John Engberg
  • Michael Johnson
  • Rema Padman
  • The Heinz School

2
Project
  • A prototype reminder system for Western
    Pennsylvania Hospitals Internal Medicine clinic
    (Medical Ambulatory Care Clinic - MACC) to
    support the practice of evidence-based medicine
    and preventive care management.

3
Evidence-Based Medicine
  • the conscientious, explicit and judicious
    use of current best evidence in making decisions
    about the care of individual patients..by
    integrating individual clinical expertise with
    the best available external clinical evidence
    from systematic research Sackett et al. 1996
  • - Our computer application uses clinical
    practice guidelines to present evidence in the
    form of rules and suggestions

4
Background
  • Errors in outpatient environment caused by
  • Intermittent care
  • Missed results
  • Possible improper drug usage
  • Patient misinformation
  • Poor transfer of clinical information

5
Examples
  • 20 of Type 1 diabetic patients do not see a
    physician once a year
  • 40 are not tested regularly for glycohemoglobin
    levels
  • 41 do not have annual retinal exams
  • (NEJM, April, 1999)
  • How should these patients be managed such that
    patient outcomes are better and compliance with
    practice guidelines are improved?

6
Challenges to the ideal office visit
  • Difficulty of tracking patients medical history
  • Difficulty of maintaining or extracting patient
    records
  • Possibility of busy physicians overlooking
    critical examinations

7
Motivation
  • Proactive patient management
  • Just-in-time physician reminders
  • Compliance with practice guidelines
  • These actions improve patient outcomes and
    reduce variation in care

8
Reminder System Project Details
  • Client
  • Department of Medicine and Medical Ambulatory
    Care Clinic, Western Pennsylvania Hospital
  • Developers
  • MISM and MSPPM students at the Heinz School plus
    faculty advisors and advisory board members
  • Medical Domain
  • Chronic diseases hyperlipidemia, diabetes, low
    back pain
  • Preventive care categories cervical cancer,
    breast cancer, pneumonia, influenza, cortico
    steroid-induced osteoporosis
  • Project Success Measures
  • Increased physician/staff productivity
  • Improved compliance with medical guidelines
    (shorter-term)
  • Improved population health outcomes (longer-term)
  • System that is scaleable,generalizeable,
    interoperable and user-friendly

9
Architecture for Reminder System
REMINDERS
REPORTS
Dialogue Management System
Database Management System
Model Management System
MODEL BASE
Clinical Guidelines Repository
Evidence- Based Medicine Cues
10
IS Project Methodology
Query clients on the best medical practices, the
cueing methodology, and information requirements
for efficient decision making
Feasibility Analysis
Map client requirements into system functionality
requirements
Requirements Analysis
Create preliminary design and specification for
the system to be developed
System Design Specification
Develop system and integrate with the clients
current business process
System Implementation
11
Data Sources
  • Demographic data from patient registration system
  • Diagnosis, visit, procedure and test results data
    from billing and laboratory systems
  • Screening data from staff
  • Specific clinical data entered by physicians

12
Algorithms
  • Derived from federal or major national
    organization consensus standards
  • Based upon best available data
  • Specific guidelines for each type of preventive
    care and each disease management program

13
Users
  • Physicians Reminders or suggestions for
    preventive care, treatment changes or referrals,
    patient education at time of visit
  • Patients Reminders regarding appointments and
    compliance
  • Office Staff Reminders of actions during current
    appointment and of future appointments

14
System Implementation
  • Database
  • Data standards CPT-4 for medical procedures and
    ICD-9-CM for diagnoses
  • Platform Oracle 8i, to accommodate multiple
    users, large datasets, Web-enabling
  • Test data 30 dummy records
  • Reminders
  • SQL code for procedures
  • Triggers, invoked by updates to other tables
  • Stored procedures, invoked by the application
    program
  • Packages storage of related programs, e.g.
    time-driven cues/visit-driven cues
  • Key parameters are hard-coded ? application
    maintenance not trivial
  • Interface
  • Platform Visual Basic 6.0
  • Low-level design flow diagrams, interface-table
    mapping
  • Application security enable system
    administration functionality
  • Connection with Oracle Active X Data Object
    controls

15
Interface Forms
16
Other Features
  • Security and Privacy/confidentiality features to
    ensure that patient data cannot be accessed by
    unauthorized users
  • Three-level security functions DBA,
    Administrator, Clinic Staff
  • Audit trail
  • Password management functions (time-out,
    expiry,reuse, complexity)

17
Other Features
  • Reporting capabilities
  • summaries of treatment recommendations
  • elementary outcomes evaluations
  • automated reminder letters to patients
  • Integration with West Penn hospital information
    system, patient scheduling and other information
    systems so that data stores can be updated
    automatically

18
Next Steps
  • Automated archiving and data retrieval
    capabilities
  • Expand to include one or more new diseases
  • Web-enabling
  • Develop tools to extract data on an as-needed
    basis and to determine outcomes that deviate from
    norms and/or optimal clinical pathways
  • Develop a graphical interface that allows the
    user to compare sub-population outcomes with
    population characteristics
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