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1
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2
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- 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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3
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- 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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4
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- 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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5
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6
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- 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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7
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- 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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8
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- Productivity
- Error reduction (quality mandate)
- Promotes standardized reporting
- Interoperability with CPR systems
- Marketing
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9
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- 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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10
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- 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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11
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- 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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12
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- 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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13
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- 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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14
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- Defining data elements and items
- Ideal for XML
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15
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- Data Elements = “Metadata”, or data describing data.
- Items = the actual data of interest
- Item-element pairs = machine-readable
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16
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17
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- Common data elements (CDE’s)
- Items -- controlled medical vocabulary
- Both are needed!
- Data-transmission standards ( HL7)
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18
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- 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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19
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- 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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20
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21
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22
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- 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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23
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24
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- 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
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