Combining laboratory data sets from multiple institutions using the logical observation identifier names and codes (LOINC)

International Journal of Medical Informatics

Volumn 51, Issue 1, 1998, Pages 29-37

  Baorto, David M ^a   Cimino, James J ^b   Parvin, Curtis A ^a   Kahn, Michael G ^c  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c Rodeer Systems Inc   (United States)

Author keywords

Laboratory data sets; Logical observation identifier names and codes; Multiple institutions

Indexed keywords

CODES (SYMBOLS); DATA STRUCTURES; DATABASE SYSTEMS; HEALTH CARE; HOSPITAL DATA PROCESSING; HOSPITALS; SOCIETIES AND INSTITUTIONS;

LABORATORY DATA SETS; LOGICAL OBSERVATION IDENTIFIER NAMES AND CODES; MULTIPLE INSTITUTIONS;

MEDICAL COMPUTING;

ARTICLE; COMPARATIVE STUDY; DATA BASE; HOSPITAL; INFORMATION SYSTEM; LABORATORY TEST; MEDICAL RECORD; PRIORITY JOURNAL; STANDARDIZATION;

AUTOMATIC DATA PROCESSING; DATABASES, FACTUAL; DECISION MAKING, COMPUTER-ASSISTED; HUMANS; INTERINSTITUTIONAL RELATIONS; LABORATORY TECHNIQUES AND PROCEDURES; SOFTWARE; TERMINOLOGY;

EID: 0032123019     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(98)00089-6     Document Type: Article

References (12)

1. D.M. Baorto, J.J. Cimino, C.A. Parvin, M.G. Kahn, Using logical observation identifier names and codes (LOINC) to exchange laboratory data among three academic hospitals, Proc. Am. Med. Inform. Assoc. Annu. Fall Symp., 1997, pp. 96-100.
2. Institute of Medicine, in: R.S. Dick, E.B. Steen (Eds.), Committee on Improving the Patient Record, The computer-based patient record: An essential technology for health care, National Academy Press, Washington DC, 1991.
3. A.W. Forrey, C.J. McDonald, G. DeMoor, S.M. Huff, D. Leavelle, D. Leland, T. Fiers, L. Charles, B. Griffin, F. Stalling, A. Tullis, K. Hutchins, J. Baenziger, Logical observation identifier names and codes (LOINC) database: A public use set of codes and names for electronic reporting of clinical laboratory test results, Clin. Chem. 42 (1) (1996) 81-90.
4. LOINC user's guide. Available from http:// www.mcis.duke.edu.standards/termcode/loinc.htm.
5. M.G. Kahn, J.J. Cimino, D.M. Baorto, Utilization of the hospital laboratory in congestive heart failure: Geographic variability. Manuscript in preparation.
6. L.K. Demlo, P.M. Campbell, S.S. Brown, Reliability of information abstracted from patient's medical records, Med. Care 16 (1978) 995-1005.
7. R.F. Corn, The sensitivity of prospective hospital reimbursement to errors in patient data, Inquiry 18 (1981) 351-360.
8. E. Cohen, D. Bernier, S. Tam, D. Schimel, A.H. Postel, S. Scheidt, J.B. Stamm, Data quality and DRGs: An assessment of the reliability of federal beneficiary discharge data in selected Manhattan hospitals, J. Commun. Health 10 (1985) 238-246.
9. L.I. Iezzoni, S. Burnside, L. Sickles, M.A. Moskowitz, E. Sawitz, P.A. Levine, Coding of acute myocardial infarction: Clinical and policy implications, Ann. Intern. Med. 109 (1988) 745-751.
10. D.C. Hsia, W.M. Krushat, A.B. Fagan, J.A. Tebbutt, R.P. Kusserow, Accuracy of diagnostic coding for Medicare patients under the prospect payment system, New Engl. J. Med. 318 (1988) 352-355.
11. D.C. Hsia, C.A. Ahern, P.B. Ritchie, L.M. Moscoe, W.M. Krushat, Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988, J. Am. Med. Assoc. 268 (1992) 896-899.
12. J. Green, N. Wintfeld, How accurate are hospital discharge data for evaluating effectiveness of care?, Med. Care 31 (1993) 719-731.