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Implementing Medical Algorithms to Reduce Medical Errors

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Making an error during calculation or execution of the algorithm. Using incorrect data ... Elimination of calculation errors. Perfect recall of algorithm details ... – PowerPoint PPT presentation

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Title: Implementing Medical Algorithms to Reduce Medical Errors


1
Implementing Medical Algorithms to Reduce Medical
Errors
  • Kathy A. Johnson, Ph.D.a, Gareth Kantor, M.D.b,
    John R Svirbely, M.D.c, MG Sriram, Ph.D.d, Jack
    W. Smith, M.D., Ph.D.a, Jorge Raul Rodriguez,
    M.D.e aUniversity of Texas - Houston, Houston,
    TXbCase Western Reserve University, Cleveland,
    OHcMcCullough-Hyde Memorial Hospital, Oxford,
    OHd Quanta Healthcare Solutions, San Francisco,
    CAeHospital Dr. Cosme Argerich, Buenos Aires,
    Argentina

2
Medical Error
  • IOM definition of error
  • the failure of a planned action to be completed
    as intended (i.e., error of execution) or the use
    of a wrong plan to achieve an aim (e.g., error of
    planning).
  • IOM found 23 gaps including
  • a need for more research in the area of
    communication and information sharing

3
Medical Algorithm
  • Definition any computation, formula, survey, or
    look-up table that is useful in healthcare
  • Purpose Improve the delivery of healthcare

4
Types of Medical Algorithms
  • Coding look-up tables
  • Comparison with normal population standards
  • Data conversion
  • Decision rules triaging
  • Decision trees flow diagrams
  • Diagnostic criteria
  • Diaries symptom tracking
  • Functional state description
  • Grading and scaling
  • Probability statistical analysis
  • Prognostic scores
  • Questionnaires
  • Risk determination
  • Simple classification
  • Simple formulas
  • Therapeutic indications contraindications

5
Algorithm Use Benefits
  • Improved Performance and Efficiency
  • Expanded Scope of Practice
  • Quality Assurance
  • Patient Self-Determination
  • HOWEVER
  • Often underutilized

6
Algorithm Representation Problems
  • Lack of proper documentation
  • Errors or oversights in representation
  • Confusion about data units
  • Confusion in expression of formulas
  • Use of irrelevant or illogical data
  • Uncertain transportability of data elements
  • Difficulty in performing the requisite
    calculations without a calculator or reference
    table
  • Inability to transport interpretations
  • Unresponsiveness to change
  • Uncertain purpose

7
Algorithm Use Problems
  • Selecting the wrong algorithm for the patient,
    population or situation (I.e. using an algorithm
    irrelevant or unresponse to condition)
  • Making an error in remembering the algorithm
  • Using a version out of date or with an error
  • Using an algorithm that is too simple
  • Using an algorithm that is too complex
  • Making an error during calculation or execution
    of the algorithm
  • Using incorrect data
  • Failure to question the output of the algorithm
  • Inappropriate use of output

8
Automated Algorithm Benefits
  • Reduced data entry errors
  • Elimination of calculation errors
  • Perfect recall of algorithm details
  • Selection of algorithm with appropriate
    complexity
  • Selection of the best algorithm for a population
    or situation
  • Provide references to interpretation of the
    output
  • Use of most up-to-date version
  • Large Scale
  • Integration with information systems
  • Facilitation of evidence-based medicine
  • Global resource (translation to other languages)
  • Education and Research

9
Medical Software Development Constraints
  • Legal Constraints
  • Regulatory Constraints
  • Security and Privacy Concerns
  • Development Costs
  • Validation of Algorithms

10
MEDAL
  • MEDical Algorithms project
  • http//www.medal.org
  • Goal Provide a collection of algorithms in a
    format that supports clinicians, programmers, and
    validators
  • Status Over 3900 algorithms in 45 chapters

11
MEDAL Algorithm Process
  • Selection of algorithms
  • Biomedical literature including journals and
    textbooks
  • Documentation
  • Abstracted from the medical literature
  • Implementation as a spreadsheet
  • Implementation in a software application

12
Software Application Representation
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Excel Spreadsheet Implementation
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Unit Conversions
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21
Conclusions
  • Medical algorithms are one important way to share
    medical information
  • Automating medical algorithms can reduce errors
    in their application
  • Automating medical algorithms can also facilitate
    validation
  • More work to be done on automation
  • More work to be done on expanding the set
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