Title: James J. Cimino
1The Challenge of Reuse of Information
- James J. Cimino
- Columbia University
- MIE 02
- Budapest, Hungary
- August 27, 2002
2Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
3Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
4Data Types
5Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
6Information Reuse
7Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
8Information Mismatch
- Form
- Meaning
- Language
- Granularity
- Semantics
- Version
9Information Mismatch Form
10Information Mismatch Form
11Information Mismatch Meaning
of the bone
12Information Mismatch Language
13Information Mismatch Granularity
14Information Mismatch Semantics
15Information Mismatch Version
2001 ICD - Smallpox - Cowpox - Virus, NEC
Virus, NEC
16Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
17Terminology Solutions
- Standards
- Distribution
- Semantic Representation
18Terminology Solutions Standards
- Advantages
- Less duplication of work
- Plug and play compatibility
- Disadvantages
- Cost of adoption
- Unresponsive to change
- Developers ? Users
19Terminology Solutions Distribution
- Media
- 9-track tape
- Floppy disks
- CD-ROM
- Web
- Models
- ICD annual
- UMLS change files
- HL7 server
20Terminology Solutions Semantic Representation
- Concept oriented
- Concept permanence
- True is-a hierarchies
- Multiple hierarchies (heterarchy)
- Semantic relationships
- Inheritance
21Terminology Solutions Semantic Representation
Goodpastures Syndrome
22Semantic Representation Galen
- Structured Meta Knowledge from PenPad
- Common Reference Terminology
- Requires terminology server
- Automated classification
- Open source terminology
23Semantic Representation Galen
- Fracture which lt
- hasLocation Bone
- hasCause Conditiongt
- Fracture which lt
- hasLocation (AnatomicalNeck which isDivisionOf
Femur) - hasCause (Osteoporosis which hasCause
PostMenopausalChange)gt - Can be classified as
- Fracture
- Fracture which hasLocation LongBone.
- Fracture which hasLocation (AnatomicalNeck which
isDivisionOf LongBone). - Fracture which hasLocation Thigh.
- Fracture which hasLocation Hip.
- Lesion which isCausedBy Osteoporosis.
- Lesion which isCausedBy PostmenopausalChange.
24Semantic RepresentationSNOMED-CT
- Merger of SNOMED and Read Clinical Terms
- Reference terminology
- Many domains
- Heterarchy
- Semantic relations (roles)
- Postcoordination
- gt300,000 concepts
25Semantic RepresentationSNOMED-CT
Pulmonary Tularemia
26Semantic Representation LOINC
- Logical Observations, Identifiers, Names and
Codes - Codes for observations in HL7 messages
- Fully-specified names
- Codes for orderable observations
- Codes for results
27Semantic Representation LOINC
24356-8 URINALYSIS PANEL
28Semantic Representation Drugs
- Food and Drug Administration
- Veterans Administration
- National Library of Medicine
- Drug knowledge base vendors
- Common model for Clinical Drug
- RxNorm
29Semantic Representation Drugs
Clinical Drug
30Semantic Representation MED
- Medical Entities Dictionary
- Data dictionary and controlled terminology
- Columbia-Presbyterian Medical Center
- Heterarchy
- Semantic network
- Multiple domains
- gt70,000 concepts
31Semantic Representation MED
Plasma Glucose Test
32Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
33Matching Granularity and Semantics
Injectable Gentamicin
Serum Gentamicin Level
Gentamicin
Gentamicin Sensitivity Test
Gentamicin Toxicity
34Example of ReuseSummary Reporting
- Spreadsheets for trends in lab data
- Defined as concepts in the MED
- Linked to test classes
35Example of ReuseSummary Reporting
36Example of ReuseSummary Reporting
37Example of ReuseSummary Reporting
38Example of Reuse Merging Data
- Merger between Presbyterian Hospital and New York
Hospital - Separate departmental systems
- Common repository
- Merger of terms in MED allows cross-institution
data aggregation
39Example of Reuse Merging Data
45748 - Diazepam 5 mg Tablet
40Example of Reuse Merging Data
2478 - Plasma Glucose Measurement
41Example of ReuseAutomated Decision Support
- Data stored in repository reviewed in real time
- Arden Syntax rules triggered by data
- Generation of alerts and reminders
- High-level concepts in rules map to low-level
concepts in database
42Automated Decision Support Tuberculosis
- Monitors for delayed culture results
- Sends message if result not equal to the code No
growth - One day, dozens of alerts about positive results
but no organism was reported - What happened?
43How the Lab Fooled the Alert
- Alert looked for results No Growth
- Lab started reporting No Growth to Date
- No Growth to Date ? No Growth
- Solution Use the controlled terminology to map
all No-Growth-like lab terms into a single class,
and have the alert logic refer to the class.
44Automated Decision Support Tuberculosis
Medical Logic Module
No Growth to Date
No Growth
45How We Outsmarted the Lab
Medical Logic Module
No Growth to Date
No Growth
46Example of ReuseInformation Retrieval
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50Example of Reuse Expert Systems
- Expert system has high-level concepts
- Database has quantitative results
- Semantic mismatch
- Translation through semantic net traversal
51Example of Reuse Expert Systems
52Expert System DXplain
53Expert System DXplain
54Expert System DXplain
55Expert System Lipid Guideline
56Example of ReuseProblem-Oriented Views
Heart
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61Experience with Information Reuse
- Summary reporting
- Merging data
- Automated decision support
- Information retrieval
- Expert systems
- Problem-oriented views
62Overview
- Data types
- Information reuse
- Information mismatch
- Terminology solutions
- Experience
- Conclusions
63Information, Then and Now
Uncoded, Unstructured
Then (1993)
- Cimino JJ, Int J Biomed Comput. 1994
34185-194
64Information, Then and Now
Locally Coded
Uncoded, Unstructured
Universally Coded
Uncoded, Structured
Radiology Reports
Discharge Summaries
Discharge Diagnoses
Physical Exams
Patient Histories
Medication Lists
Near Future
- Cimino JJ, Int J Biomed Comput. 1994
34185-194
65Information, Then and Now
Locally Coded
Uncoded, Unstructured
Universally Coded
Uncoded, Structured
Radiology Reports
Discharge Summaries
Discharge Diagnoses
Physical Exams
Patient Histories
Medication Lists
Far Future
- Cimino JJ, Int J Biomed Comput. 1994
34185-194
66Current Status
Locally Coded
Uncoded, Unstructured
Universally Coded
Uncoded, Structured
Radiology Reports
Discharge Summaries
Discharge Diagnoses
Physical Exams
Patient Histories
Medication Lists
67Current Status
Standard Semantic Terminology
Standard Code Set
Uncoded, Unstructured
Uncoded, Structured
Radiology Reports
Discharge Summaries
Discharge Diagnoses
Physical Exams
Patient Histories
Medication Lists
68Current Status
Standard Semantic Terminology
Uncoded, Unstructured
Standard Code Set
Uncoded, Structured
Laboratory Reports
Text Reports
Discharge Diagnoses
Problem Lists
Text Reports
Medication Lists
69Conclusions
- Advanced health care means information reuse
- Semantic-based terminologies support reuse
- Terminologies are moving in the right direction