Royal College of Surgeons in Ireland Col - PowerPoint PPT Presentation

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Royal College of Surgeons in Ireland Col

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Royal College of Surgeons in Ireland Col iste R oga na M inle in irinn Computer-Based Clinical Decision Support Systems (CDSSs) Borislav D Dimitrov – PowerPoint PPT presentation

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Title: Royal College of Surgeons in Ireland Col


1
Royal College of Surgeons in IrelandColáiste
Ríoga na Máinleá in Éirinn
Computer-Based Clinical Decision Support Systems
(CDSSs) Borislav D Dimitrov
2
Contents
  • 1) Clinical Research Evidence Implementation
    in Practice
  • 2) Levels of Functionality in Health Informatics
  • 3) Decision Support Systems (DSSs)
  • 4) Clinical DSSs (computer-based / eCDSSs)
  • 5) CPRs ?? EHR/EPR ?? eCDSSs Better
    Decision-Making

3
I) Implementation of Evidence
4
II) Health Informatics THE FUTUREEvolution of
Functionality
  • 1 Record keeping
  • Medical records
  • Patient scheduling
  • Appointments
  • 2 Coding prescribing
  • Morbidity coding
  • Drug prescribing
  • Drug interaction
  • 3 Communication
  • Laboratory
  • Health professional patient
  • 4 Clinical knowledge
  • Clinical DSSs
  • Decision aids
  • Comparative clinical data

5
III) DSSs definition and aspects - 1
  • Decision Support Systems (DSSs) - a class of
    computer-based information systems including
    knowledge-based systems that support
    decision-making activities
  • - parts/blocks database/KB, model, user
    interface
  • - components inputs, user knowledge/expertise,
    outputs decisions
  • - classifications scope, relationships to
    user, mode of assistance, evolution, orientation

6
III) DSSs examples - 2
Decision Support System (DSS) for John Day
Reservoir
Information Builders' WebFOCUS reporting
software (DSS)
7
IV) Clinical DSSs definition and aspects - 1
  • Clinical Decision Support Systems (CDSSs) a
    direct aid to clinical decision-making in which
    the characteristics of an individual patient are
    matched to a computerized clinical knowledge
    base, and patient-specific assessments or
    recommendations are then presented to the
    clinician and/or the patient for a decision (Sim
    at al 2001)
  • - scope designed ot improve clinical
    decision-making
  • - key elements integration with HER/EPR,
    computerised-knowledge base, algorithm,
    patient-specific info
  • - classifications context, knowledge data
    source, decision support, information delivery,
    workflow

8
IV) (Computer-based) eCDSS example - 2
9
IV) eCDSS example - 3 (CPR-based)
10
V) Computer-Based (e)CDSSs - summary
  • Increasing Healthcare Quality Efficiency
    Effectiveness
  • Helping Clinical Decision-Making Process
    Outputs
  • Translating Knowledge Novel Evidence into
    Practice (WP3)
  • International Register of CPRs ? eCPRs ?
    Integrated eCDSSs
  • Diagnostic Accuracy (?) Medical Errors (?)
    Patient Safety (?)
  • EHR/RCTs ?? Repository of CPRs ?? eCDSSs
    (TRANSFoRm Project)

11
Additional-1 Classifications of DSSs (taxonomy)
  • Relationships to User passive, active,
    cooperative
  • Mode of Assistance driven by communication,
    data, document, knowledge, model
  • Scope enterprise-wide, desktop
  • Evolution support to single-user/model-oriented
    ? executive ISs, group DSSs, organizational
    DSSs
  • Orientation frameworks text, database,
    spreadsheet, solver, rule, compound (hybrid)

12
Additional-2 Clinical DSSs
  • Scope
  • Information systems are designed to improve
    clinical decision making
  • Key elements
  • Integration with EPR
  • Computerized knowledge base
  • Software algorithm
  • Provide patient-specific information

13
Additional-3 Clinical DSSs classifications
(taxonomy)
  • Context setting, task, optimization,
    point-of-care, barriers to recommended action,
    external incentives
  • Knowledge Data Source clinical source, update
    mechanism, data source, coding, customization
  • Decision Support reasoning method (e.g., CPR),
    recommendation explicitness, logistical
    complexity, clinical urgency, response,
  • Information Delivery format, mode, action
    integration, interactivity, explanations,
  • Workflow data input intermediary, user, DM
    target, output intermediary, degree of integration
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