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Research Article| Volume 4, ISSUE 1, P41-60, March 1984

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Interpretive Reporting

  • Carl E. Speicher
    Correspondence
    Corresponding author: Department of Pathology, The Ohio State University, 410 W. 10th Street, Columbus, Ohio 43210
    Affiliations
    Professor of Pathology, College of Medicine, and Director of Clinical Laboratories, University Hospitals, The Ohio State University, Columbus, Ohio
    Search for articles by this author
  • Jack W. Smith
    Affiliations
    Instructor of Pathology, College of Medicine, and Associate Director of Clinical Chemistry, University Hospitals, The Ohio State University, Columbus, Ohio
    Search for articles by this author
DOI:https://doi.org/10.1016/S0272-2712(18)30941-7
Interpretive Reporting
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      Recent growth in the number and complexity of laboratory tests requires more widespread and more sophisticated interpretive reporting. The author examines the state of the art and how pathologists can effectively manage the laboratory data portion of the medical data base.
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      References

        • Aller R.D.
        Interpretive reporting.
        Clin. Lab. Med. 1983; 3: 205-217
        • Altshuler C.H.
        The problem: Assuring appropriate transfer and utilization of laboratory information.
        in: Werner M. Clinical Consultation on Laboratory Medicine by Pathologists (workshop). American Society of Clinical Pathologists, Chicago1980: 49-55
        • Anderson C.T.
        • Cembrowski G.S.
        • Toren E.C.
        Computer-assisted differential diagnosis of laboratory abnormalities and followup testing. Evaluation of the accuracy of a computer program.
        Am. J. Clin. Pathol. 1976; 65: 234-241
        • Ashworth C.T.
        • McConnell T.H.
        • Ashworth R.D.
        • et al.
        A computer program for reporting automated chemistry (SMAC) and thyroid function test with algorithm-derived interpretive comments.
        in: Benson E.S. Rubin M. Logic and Economics of Clinical Laboratory use. Elsevier North-Holland, Inc., New York1978: 173-186
        • Bartlett R.C.
        A plea for clinical relevance in medical microbiology.
        Am. J. Clin. Pathol. 1974; 61: 867-872
        • Beck I.R.
        • Cornwell G.G.
        • Rawnsley H.M.
        Multivariate approach to predictive diagnosis of bone marrow iron stores.
        Am. J. Clin. Pathol. 1978; 70: 665-670
        • Beck J.R.
        • Meier F.A.
        • Rawnsley H.M.
        Mathematical approaches to the analysis of laboratory data.
        in: Stefanini M. Benson E.S. Progress in Clinical Pathology. Vol. 8. Grune & Stratton, Inc., New York1981: 67-100
        • Benson E.S.
        Strategies for improved use of the clinical laboratory in patient care.
        in: Benson E.S. Rubin M. Logic and Economics of Clinical Laboratory Use. Elsevier North-Holland, Inc., New York1978: 245-256
        • Benson E.S.
        Strategies for improved use of the clinical laboratory in patient care.
        in: Stefanini M. Benson E.J. Progress in Clinical Pathology. Vol. 8. Grune and Stratton, Inc., New York1981: 67-100
        • Benson E.S.
        • Connelly D.P.
        • Burke M.D.
        Test selection strategies.
        Clin. Lab. Med. 1982; 2: 685-925
        • Bleich H.L.
        The computer as a consultant.
        N. Engl. J. Med. 1971; 284: 141-147
        • Blois M.G.
        Clinical judgements and computers.
        N. Engl. J. Med. 1980; 303: 192-197
        • Brecher G.
        Laboratory medicine 1953–1978 and the next 10 years.
        Hum. Pathol. 1978; 9: 615-618
        • Carter P.M.
        • Davison A.J.
        • Wickings H.I.
        • et al.
        Quality and quantity in clinical pathology.
        Lancet. 1974; 2: 1555-1557
        • Cembrowski G.S.
        • Larson F.C.
        • Huntington III, R.W.
        • et al.
        Computer-controlled instrument system for sequential chemistry testing. III. Application to liver assessment.
        Clin. Chem. 1978; 24: 555-561
        • Cole G.W.
        Biochemical test profiles and laboratory system design.
        Hum. Pathol. 1980; 11: 424-434
        • Conn R.B.
        Clinical laboratories: Profit center, production industry or patient-care resource?.
        N. Engl. J. Med. 1978; 298: 422-427
        • Conn R.B.
        Optimal utilization of the laboratory in making clinical decisions.
        Hum. Pathol. 1980; 11: 407-412
        • Connelly D.P.
        • Morrison D.S.
        Physician-friendly interactive access to graphic displays of laboratory results.
        in: Proceedings of the Sixth Annual Symposium of Computer Applications in Medical Care. IEEE Computer Society Press, Los Angeles1982: 333
        • Connelly D.P.
        • Johnson P.E.
        The medical problem solving process.
        Hum. Pathol. 1980; 11: 412-419
        • Connelly D.P.
        • Benson E.S.
        • Burke M.D.
        • et al.
        Clinical Decisions and Laboratory Use.
        University of Minnesota Press, Minneapolis1982

      22. Department of Health and Human Services, Health Care Financing Adminstration: Medicare program; payment for physician services furnished in hospitals, skilled nursing facilities, and comprehensive outpatient facilities; final rule with comment period. Fed. Register, March 2, 1983.

        • Dito W.
        An octal algorithm for pattern coding and computer-assisted interpretive reporting.
        Am. J. Clin. Pathol. 1977; 68: 575-583
        • Dito W.R.
        A simple time-saving method for interpretative report generation. I. Lactate acid dehydrogenase isoenzymes.
        Am. J. Clin. Pathol. 1973; 59: 439-447
        • Elevitch F.K.
        Computer-assisted clinical laboratory interpretive reports.
        Lab. Med. 1982; 13: 45-47
        • Elevitch F.R.
        Linking laboratory and hospital information systems: The modular approach.
        Clin. Lab. Med. 1983; 3: 219-231
        • Galen R.S.
        • Gambino S.R.
        Beyond Normality: The Predictive Value and Efficiency of Medical Diagnoses.
        John Wiley and Sons, Inc., New York1975
        • Galen R.S.
        • Reiffel J.A.
        • Gambino S.R.
        Diagnosis of acute myocardial infarction: Relative efficiency of serum enzyme and isoenzyme measurements.
        J.A.M.A. 1975; 232: 145-147
        • Gildersleeve T.R.
        Decision Tables and Their Practical Value in Data Processing.
        Prentice-Hall, Englewood Cliffs, New Jersey1970
        • Grams R.R.
        Problem Solving Systems Analysis and Medicine.
        Charles C Thomas, Springfield, Illinois1972
        • Ho P.W.L.
        • Pien F.D.
        • Pruett K.A.
        Routine serological testing for syphilis in a community medical practice.
        West. J. Med. 1980; 132: 485-487
        • Hobbie R.K.
        • Reece R.L.
        A computer reporting and interpretation system: Acceptance and accuracy.
        in: Benson E.S. Rubin M. Logic and Economics of Clinical Laboratory Use. Elsevier North-Holland Inc., New York1978: 163-172
        • Holland R.R.
        Decision tables: Their use for the presentation of clinical algorithms.
        J.A.M.A. 1975; 233: 455-457
        • Jacobson W.
        • Swezey C.B.
        Physicians assess usefulness of computerized interpretive laboratory reports.
        Pathologist. 1981; 35: 326-328
        • Johns R.J.
        Clinical information and clinical problem solving.
        in: Harvey A.M. Johns R.J. McKusick V.A. The Principles and Practice of Medicine. Edition 20. Appleton-Century-Crofts, New York1980: 1-5
        • Johnson E.A.
        Some basic considerations of the needs for improved clinical laboratory data analyses.
        Hum. Pathol. 1973; 4: 5-8
        • Kassirer J.P.
        • Pauker S.G.
        Should diagnostic testing be regulated?.
        N. Engl. J. Med. 1978; 299: 947-949
        • Kosowsky D.I.
        The clinical laboratory industry: Future outlook.
        Med. Market. Media. 1976; 11: 46-55
        • Kulikowski C.A.
        Artificial intelligence methods and systems for medical consultaiton.
        IEEE Transactions on Pattern Analysis and Machine Intelligence. 1980; 2: 464-476
        • Lincoln T.L.
        Algorithmic intelligence.
        Lab. Med. 1982; 13: 53-59
        • London K.R.
        Decision Tables.
        Auerbach Publishers, Inc., New York1972
        • Lundberg G.D.
        The reporting of laboratory data interpretations: To omit or commit?.
        (editorial.) J.A.M.A. 1980; 243: 1554-1555
        • Lundberg G.D.
        Acting on significant laboratory results.
        (Editorial). J.A.M.A. 1981; 245: 1762-1763
        • Lundberg G.D.
        Using the Clinical Laboratory in Medical Decision-Making.
        American Society of Clinical Pathologists Press, Chicago1983
        • McConnell T.H.
        Interpretive reporting of laboratory data.
        Hum. Pathol. 1978; 9: 129-131
        • McDonald C.J.
        • Wilson G.A.
        • McCabe G.P.
        Physician response to computer reminders.
        J.A.M.A. 1980; 224: 1579-1581

      47. McNeely, M. D. D.: LABDOC: A computerized laboratory test interpretive reporting system. Island Medical Laboratories, April 1, 1982 (self-published).

        • McNeely M.D.D.
        LABDOC: A microprocessor-based system for providing interpretations of clinical laboratory tests.
        in: Proceedings of the Sixth Annual Symposium on Computer Applications in Medical Care. IEEE Computer Society Press, Los Angles1982: 316-320

      49. McNeely, M. D. D.: Interpretation and reporting by computer. Med. Lab. Observ., May 1981, pp. 65–74.

      50. Miller, D. F.: Clinical relevance: A concept whose time has come? Lab. Manage., July 1975, pp. 16–17.

        • Munan L.
        • Kelly A.
        • Petitclerc C.
        Population survey enzyme patterns: Age-sex dependencies.
        in: McComb R.B. Bowers G.N. Posen S. Alkaline Phosphatase. Plenum Press, New York1979: 528
        • Murphy J.
        • Henry J.B.
        Effective utilization of clinical laboratories.
        Hum. Pathol. 1978; 9: 625-633
        • Nii P.H.
        AGE in Heuristic Programming Project 1980.
        Stanford University, Stanford, California1980: 56
        • Pribor H.C.
        Interpretive reporting and the microprocessor.
        J. Clin. Lab. Autom. 1981; 1 (2:159–164, 1982): 205
        • Reece R.L.
        Universal unified interpretive reports. Conceivable, believable, and achievable.
        Pathologist. 1978; 32: 343-350
        • Reece R.L.
        • Hobbie R.K.
        Use of a computer to issue interpretive reports: Do clinicians find this form of reporting useful?.
        in: Young D.S. Uddin D. Nipper H. Clinician and Chemist. American Associaiton for Clinical Chemistry, Washington, D. C.1979
        • Ryback R.S.
        • Eckardt M.J.
        • Rawlings R.R.
        • et al.
        Quadratic discriminant analysis an an aid to interpretive reporting of clinical laboratory tests.
        J.A.M.A. 1982; 248: 2342-2345
        • Sher P.P.
        Mathematical and computer assisted procedures in clinical decision making.
        Hum. Pathol. 1980; 11: 420-423
        • Speicher C.E.
        • Smith J.W.
        Interpretive reporting in clinical pathology.
        J.A.M.A. 1980; 253: 1556-1560
        • Speicher C.E.
        • Smith J.W.
        Choosing Effective Laboratory Tests.
        W. B. Saunders Co., Philadelphia1983
        • Speicher C.E.
        • Smith J.W.
        • Neff J.C.
        Problem-oriented Interpretive Reporting 60 CARL E. SPEICHER AND JACK W. SMITH in Clinical Pathology (workshop).
        American Society of Clinical Pathologists, ChicagoSpring 1980
        • Vecchio T.J.
        Predictive value of a single diagnostic test in unselected populations.
        N. Engl. J. Med. 1966; 74: 1171-1173
        • Wenk R.E.
        • Weinstein W.
        • Rudert J.
        Evolution of an acute care laboratory.
        Lab. Med. 1980; 11: 731-737
        • Werner M.
        • Altshuler C.H.
        Cost effectiveness of multiphasic screening: Old controversies and a new rationale.
        Hum. Pathol. 1981; 12: 111-117
        • Wigton R.S.
        • Zimmer J.L.
        • Wigton J.H.
        • et al.
        Chart reminder in the diagnosis of anemia.
        J.A.M.A. 1981; 245: 1745-1747
        • Williams B.T.
        Computer Aids to Clinical Decisions.
        Vol. 1 and 2. CRC Press, Boca Raton, Florida1982
        • Winkel P.
        Patterns and clusters—Multivariate approach for interpreting clinical chemistry results.
        Clin. Chem. 1973; 19: 1329-1338
        • Wolf P.L.
        Interpretation of Biochemical Test Profiles.
        Masson Publ., Inc., New York1977: 160-162 (212–213)
        • Wong E.T.
        • Frier E.F.
        The differential diagnosis of hypercalcemia: An algorithm for more effective use of laboratory tests.
        J.A.M.A. 1982; 247: 75-80

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      DOI: https://doi.org/10.1016/S0272-2712(18)30941-7

      Copyright

      © 1984 Elsevier Inc. Published by Elsevier Inc. All rights reserved.

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