Notes
Slide Show
Outline
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Pretest – True/False
  • The Pathology report is the least important report in a patient chart
  • A good APLIS is not worth the expense
  • APLIS’s are not helpful in reducing error
  • Pathologists don’t really care about the quality of their pathology reports
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Objectives
  • Describe the shortcomings of current AP reporting systems
  • Identify existing technologies that will correct these deficiencies
  • Explain the importance of structured reporting to pathology practice, research, and teaching
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Objectives (continued)
  • Apply this information in selecting information systems for your laboratory
  • Learn how to assist the pathology community in promoting the development of structured reporting tools
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What is Structured Reporting?
  • Traditional “synoptic” report has minimal structure – display only!
  • A truly structured report has structure from an information systems perspective
  • May or may not involve Structured Data Entry (SDE)
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What is Structured Data Entry?

  • SDE is the use of predefined text or other data for documentation (as opposed to free-text data entry)
  • SDE is the best way to achieve structured reporting
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Why do we need structure?
  • Productivity
  • Error reduction (quality mandate)
  • Promotes standardized reporting
  • Interoperability with CPR systems
  • Marketing
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Workflow -- Productivity
  • Decrease or eliminate transcription cost$
  • Faster TAT
    • sign-out at scope - no proofing
  • Automated retrieval and analysis
    • quality, education, research, coding/billing -- compliance documentation
    • Data mining??? -- discrete data, no (inaccurate) language processing required
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Errors avoided with SDE
  • Transcription
  • Voice Recognition
  • Omission
    • Can encourage or enforce synoptic reporting, checklists
  • Transposition
  • Interpretation
    • Decision Support (pathologist error)
    • Standard for terminology and reporting of data elements (clinician error) – including abbreviations
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CPR Compatibility
  • Data must be available everywhere, all the time, in multiple appropriate views
  • Use of templates, synoptic standards controlled vocabularies
  • Decision support facilitated
  • Tools for error reduction, workflow, analysis
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Marketing
  • Customers are physicians and patients
  • Value-added services will be added by your competitors, and not just images!
  • Must be automated to provide these cost-effectively
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How do we achieve SD?
  • Structured Data Entry
  • Ex post facto text parsing (natural language processing)
    • Error-prone
    • No QC at the point of care
    • No decision support
    • Does not support standardization
    • But useful for archival material (SPIN project)
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How does SDE become SD?
  • Defining data elements and items


  • Ideal for XML
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Geek Tip -- Data Elements and Items
  • Data Elements = “Metadata”, or data describing data.
  • Items = the actual data of interest
  • Item-element pairs = machine-readable
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Examples of Pathology Report Data Elements and Items
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Standardization
  • Common data elements (CDE’s)
  • Items -- controlled medical vocabulary
  • Both are needed!
  • Data-transmission standards ( HL7)
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Common Data Elements
  • Can be used in Web-based namespaces to standardize XML DTD’s and Schema
  • Permit different software implementations to share data
  • Should be ISO 11179 compliant
  • API namespace project is in progress
  • Not sufficient to ensure data sharing
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Controlled Medical Vocabularies
  • CMV, aka medical lexicon or controlled medical terminology (CMT)
  • Terms must populate delimited or non-delimited domains of CDE’s
  • SNOMED -- prototype
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Objections to SDE Debunked!
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Pathology Reporting Systems
  • Systems in development by Mysis/CoPath, SCC
  • William Shang, MD, Access-based APLIS, distributed as freeware, see eposter from APIII2000
  • Elizabeth Hammond, MD, IHC, Tamtron-based synoptic macros/VB/VBA
  • Michael Glant, MD, DCL Inc., Indianapolis
  •  mTuitive, Cape Cod, MA
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Take Home Messages
  • Structured reporting can help your practice
    • Possibly the greatest impact of any emerging technology in pathology
  • You now understand the basic technology
  • You will have to use these tools to maintain quality and to remain competitive
  • You must be an advocate for investment in this technology