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DOI: 10.1055/s-0038-1634654
A Poor Precedent
Publikationsverlauf
Publikationsdatum:
20. Februar 2018 (online)
Abstract:
The single greatest impediment to the successful leveraging of computer-based patient records (CPRs) is the difficulty of creating and maintaining comparable patient descriptions. Specifically, it will be hard to justify the investment required to deploy CPRs widely if the patient descriptions they store are not comparable across successive releases of controlled health-care vocabularies. Thus, it is necessary to solve the controlled health-care vocabulary update problem for CPRs before the comparability of patient descriptions can be sustained. What may seem to be a narrow technical problem of interest only to maintainers of health-care enterprise systems is, instead, a central problem of medical informatics. Cimino’s “Formal descriptions and adaptive mechanisms for changes in controlled medical vocabularies” describes a classification of the changes appearing in the 1994 Edition of the International Classification of Diseases (ICD-9-CM). His paper describes the conversion of differences detected between the 1993 and 1994 releases of ICD-9-CM and a conversion of the elements of the classification into the required formal changes to the Medical Entities Dictionary (MED), part of the CPR in use at Columbia Presbyterian Medical Center. Because the process of detecting differences begins with an empirical analysis of the ASCII representations of the 1993 and 1994 releases of ICD-9-CM, it is impossible for a computer program to infer the intent of the changes that caused the differences; instead, a content expert must infer the intent and then update the MED accordingly. A typical task is to infer whether a change in naming also reflects a change in the meaning named. While Cimino’s methods and their execution are exemplary in every respect, they nevertheless constitute a kind of “reverse engineering” – an ad hoc attempt to infer intent from details. Reverse engineering of changes to controlled medical vocabularies is a poor precedent. Such methods should be viewed as necessary short-term expedients only, and all parties concerned should work toward an incremental plan by which the intent of changes to controlled health-care vocabularies can be made both explicit and machine processible. Only then can the comparability of patient descriptions be sustained.
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References
- 1 Masys D. The informatics of health care reform. Bull Med Libr Assoc 1996; Jan 84 (01) 11-6.
- 2 United States National Center for Health Statistics. International Classification of Diseases, Ninth Edition, with Clinical Modifications. Washington, DC: 1980
- 3 Blois MS. Clinical Judgment and Computers. New England Journal of Medicine 1980; 303: 192-7.
- 4 Cimino JJ. Formal Descriptions and Adaptive Mechanisms for Changes in Controlled Medical Vocabularies. Meth Inform Med 1996; 35: 202-10.
- 5 Tuttle MS, Sherertz DD, Olson NE. et al. Toward Reusable Software Components at the Point of Care. 1996 AMIA Fall Meeting. (to appear).
- 6 Ritchie DM, Thompson K. The UNIX Time-Sharing System. Communications of the ACM 17 (07) July 1974; 365-75.
- 7 UNIX User’s Reference Manual. 4.3 Berkeley Software Distribution, USENIX Association. (copyright by the Regents of the University of California and Bell Telephone Laboratories), April 1986
- 8 Personal conversation. Anonymous.
- 9 Russell B. A History of Western Philosophy. Copyright by Bertrand Russell, 1945, reprinted by Book of the Month Club and Simon Schuster; 1995: 155-6 Interestingly, for readers of this journal, Russell acknowledges the support of a physician, Dr. Albert C. Barnes, founder of the Barnes Foundation in Pennsylvania; the book was originally a series of lectures presented to that foundation.
- 10 Lindberg DAB, Humphreys BL, McCray AT. The Unified Medical Language System. Meth Inform Med 1993; 32: 281-91.
- 11 Nelson SJ, Cole WG, Tuttle MS. et al. Recognizing New Medical Knowledge Computationally. Safran C. ed. Proc Annu Symp Comp Appl Med Care 1993; 409-13.
- 12 Cimino JJ, Clayton PD, Hripscak G, Johnson SB. Knowledge-based approaches to the maintenance of a large controlled medical terminology. J Am Med Informatics Association 1994; 1 (03) 202-17.
- 13 Rector AL, Nowlan WA, Glowinski A. Goals for the Concept Representation in the Galen Project. Safran C. ed. Symposium on Computer Applications in Medical Care. Washington, DC: McGraw-Hill; 1993: 414-8.
- 14 Suarez-Munist ON, Tuttle MS, Olson NE. et al. MEME II Supports the Cooperative Management of Terminology. 1996 AMIA Fall Meeting. (to appear).
- 15 Campbell KE, Cohn SP, Chute CG. et al. Galapagos: Computer-based Support for Evolution of a Convergent Medical Terminology. 1996 AMIA Fall Meeting. (to appear).
- 16 Côté RA. ed. Systematized Nomenclature of Medicine 2nd Edition. College of American Pathologists; Skokie, Illinois: 1986
- 17 Côté RA, Rothwell DJ, Palotay JL. The Systematized Nomenclature of Human and Veterinary Medicine (SNOMED International). College of American Pathologists; Northfield, Illinois: 1993
- 18 Wiederhold G. Mediators in the Architecture of Future Information Systems. Computer March 1992; 38-49.
- 19 Tuttle MS. Book Reviews: E Davis, Representations of Commonsense Knowledge, and DB Lenat and RV Guha, Building Large Knowledge-Based Systems: Representations and Inference in the Cyc Project. Artificial Intelligence 61 1993; 121-48.
- 20 Tuttle MS. The Position of the Canon Group: a reality check (editorial). JAMIA 1994; 1: 298-9.
- 21 Cohen RT, Neurath M. ed. and tr. Neurath Otto. Philosophical Papers 1913-1946. Dordrecht: 1983
- 22 Honderich T. The Oxford Companion to Philosophy. Oxford University Press; Oxford: 1995: 286.
- 23 Detmer MD Don E.. in an address to the NLM/AHCPR Electronic Medical Record (EMR) Collaborative. April 1996. Dr. Detmer was formerly the Chair of the Institute of Medicine (IOM) Committee on Improving the Patient Record in Response to Increasing Functional Requirements and Technological Advances. The committee’s report appeared as Dick RS, Steen EB. Editors. The Computer-based Patient Record: An Essential Technology for Health Care. National Academy Press; Washington, DC: 1991
- 24 Chute Christopher G.. Personal conversation.
- 25 Tuttle MS, Sherertz DD, Erlbaum MS. et al. Adding your terms and relationships to the UMLS Metathesaurus. Clayton PD. ed. Proc. Annu Symp Comp Appl Med Care 1991; 219-23.
- 26 UMLS Knowledge Sources. 7th Experimental Edition. January 1996. Unified Medical Language System, U.S. Department of Health and Human Services. National Institutes of Health, National Library of Medicine.;
- 27 Olson NE, Erlbaum MS, Tuttle MS. et al. Exploiting the Metathesaurus Update Model. 1996 AMIA Fall Meeting. (to appear).
- 28 Sherertz DD, Erlbaum MS, Hole WT. Personal conversations..
- 29 Shortliffe E, Barnett GO, Cimino J. et al. Collaborative medical informatics research using the Internet and the World Wide Web. Proc. 1996 Fall AMIA Meeting. (to appear).
- 30 Oliver DE, Shortliffe EH. The InterMed Collaboratory. Collaborative Model Development for Vocabulary and Guidelines. Proc. 1996 AMIA Fall Meeting. (to appear).
- 31 Tuttle MS, Suarez-Munist ON, Olson NE. et al. Merging Terminologies. Greenes RA, Petersen HE, Protti DJ. eds. MED INFO 95. Vancouver, Canada: 1995: 162-6.
- 32 Suarez-Munist ON, Hole WT, Irons RJ. et al. MEME II: An environment for managing meaning (Poster Abstract). Proc Annu Symp Comput Appl Med Care 1995; 956.
- 33 Mays E, Weida R, Dionne R. et al. Scalable and Expressive Medical Terminologies. 1996 Fall AMIA Meeting. (to appear).
- 34 Campbell ICE. Distributed development of a logic-based controlled medical terminology. (Dissertation Proposal) Stanford University; 1994
- 35 Olson NE, Sherertz DD, Erlbaum MS. et al. Explaining your terminology to a computer (Poster Abstract). Proc Annu Symp Comput Appl Med Care 1995; 957.
- 36 Tuttle MS, Campbell ICE, Olson NE. et al. Concept, code, term and word: preserving the distinctions (Poster Abstract). Proc Annu Symp Comput Appl Med Care 1995; 956.
- 37 ISO 2788 Thesaurus Standard.
- 38 Committee of European Normalization, Technical Committee on Medical Informatics. (CEN/TC 251).
- 39 Brodie ML, Stonebraker M. Migrating Legacy Systems: Gateways, Interfaces and the Incremental Approach. Morgan Kaufman Publishers; San Francisco: 1995
- 40 Wiederhold G. Personal conversation..
- 41 Tuttle MS, Olson NE, Campbell ICE. et al. Formal Properties of the Metathesaurus. Safran C. ed Proc Annu Symp Comput Appl Med Care 1994; 145-9.