Yearb Med Inform 1995; 04(01): 61-70
DOI: 10.1055/s-0038-1638021
Review Paper
Georg Thieme Verlag KG Stuttgart

The Structure of Data in Medical Records

M. van Ginneken Astrid
1   Dept of Medical Informatics, faculty of Medicine and Health Sciences, Erasmus University Rotterdam, The Netherlands
› Author Affiliations
Further Information

Publication History

Publication Date:
05 March 2018 (online)

Abstract:

With the growing complexity of health care, patient data are more and more in demand for purposes such as research, education, postmarketing surveillance, quality assessment, and outcome analysis. Many of these purposes require patient data to be available in a structured, electronic format. Despite the rapid advances in computer technology, which allow patient data to be organized, analyzed, and shared, the majority of physicians still use paper medical records. Apparently, most physicians still perceive the paper record as being more suitable for their task than present day computerized versions. Both the shortcomings and the strengths of paper medical records have been identified and it proves difficult to design a computerized medical record that exploits the strengths of computers without loosing the advantages of the paper chart. The structure of patient data is an area of high interest, since structure determines how physicians, other health care workers, and patients may benefit from these data. An overview of research efforts in structuring patient data will offer insight in the problems that still impede a widespread use of the computerized patient record in clinical practice.

 
  • References

  • 1 Reiser SJ. The clinical record in medicine. Part 1 : Learning from cases. Ann Intern Med 1991; 114: 902-7.
  • 2 Kurland LT, Molgaard CA. The patient record in epidemiology. Scientific American 1981; 245: 46-55.
  • 3 Reiser SJ. The clinical record in medicine. Part 2: Reforming content and purpose. Ann Intern Med 1991; 114: 980-5.
  • 4 Weed LL. Medical records, medical education, and patient care. 1969
  • 5 Feinstein AR. The problems of the “problem-oriented medical record”. Ann Int Med 1973; 78: 751-62.
  • 6 Tange H. Bron-georienteerd of problem georienteerd? Nederlands/Vlaams Symposium. Computerized Patient record afwachten of instappen?. Eindhoven, 28 Oktober 1994
  • 7 Barnett GO. The application of cornputer-based medical-record systems in ambulatory practice. N Engl J Med 1984; 310: 1643-50.
  • 8 Burnum JF. The misinformation era: the fall of the medical record Ann Intern Med. 1989; 110: 482-4.
  • 9 Moorman PW, van Ginneken AM, van der Lei J, Siersema PD, van Blankenstein M, Wilson JHP. The contents of free-text endoscopy reports: an inventory and evaluation by peers. Endoscopy 1994; 26: 531-8.
  • 10 Kuhn K, Swobodnik W, Johannes RS. et al. The quality of gastroenterological reports based on free text dictation: an evaluation in endoscopy an ultrasonography. Endoscopy 1991; 23: 262-4.
  • 11 Wyatt JC. Clinical data systems, Part 1: Data and medical records. Lance 1994; 344: 1543-7.
  • 12 Dick RS, Steen EB. The computer-based patient record: an essential technology for health care. Comittee on Improving the Patient record Division of Health Care Services. Institute of medicine National Academy Press 1991
  • 13 Van Ginneken AM, van der Lei J, Moorman PW. Towards unambiguous representation of patient data. Proc Annu Symp Comput Appl Med Care 1992: 69-73.
  • 14 McDonald CJ, Hui SL, Smith DM. et al. Reminders to physicians from an introspective computer medical record. A two-year randomized trial. Ann Intern Med 1984; 100: 130-8.
  • 15 Van der Lei J, van der Heijden P, Boon WM. Critiquing expert critiques: issues for the development of computer-based monitoring in primary care. In: Barber B, Cao D, Qin D, Wagner G. eds. Proceedings of MEDJNFO 89. . Amsterdam: North-Holland; 1989: 106-10.
  • 16 McDonald CJ, Tierney WM. Computerstored medical records. Their future role medical practice. Jama 1988; 259: 3433-40.
  • 17 Nowlan WA. Clinical workstations: identifying needs and understanding clinical information. Proceedings of the Working Conference on the Health Care Professional Workstation. IMIA; Washington D.C.: 1993: 1-12.
  • 18 Hammond WE, Stead WW. The evolution of GEMISCH and TMR. In: Blum BI. ed.Information Systems for Patient Care. Springer-Verlag: 1984: 33-66.
  • 19 Kuhn IM, Wiederhold G, Rodnick JE, Ramsey-Klee DM, Benett S, Beck DD. Automated ambulatory medical record systems in the US. In: Blum BI. ed. Information Systems for Patient Care. Springer-Verlag: 1984: 199-217.
  • 20 Stead WW, Hammond WE. Computerized medical records. A new resource for clinical decision making. J Med Syst 1983; 7: 213-20.
  • 21 Panzer RJ, Ostrowski CP, Gerek M. et al. Development of an integrated ambulatory care database and analysis system. In: Proceedings of the 12th SCAMC . 1988: 722-726.
  • 22 Schoenbaum SC, Barnett GO. Automated ambulatory medical records systems. An orphan technology. Int J Technol Assess Health Care 1992; 8: 598-609.
  • 23 McDonald CJ, Tierney W, Blevins L. The benefits of automated medical record systems for ambulatory care. In: Blum BI. ed. Information Systems for Patient 24. Care. Springer-Verlag: 1984: 63-83.
  • 24 Frisse ME, Schnase JL, Metcalfe ES. Models for patient records. Acad Med 25 1994; 69: 546-50.
  • 25 Bolens M, Borst F, Scherrer JR. Organizing the clinical data in the medical 26. record. Md Comput 1992; 9: 149-55.
  • 26 Kahn MG, Fagan LM, Tu S. Extensions to the time-oriented database model to support temporal reasoning in medical expert systems. Meth Inform Med 1991; 30: 4-14.
  • 27 Pinciroli F, Combi C, Pozzi G. Objectorientated DBMS techniques for time-oriented medical record. Med Inform 1992; 17: 231-41.
  • 28 Campbell KE, Das AK, Musen MA. A logical foundation for representation of clinical data. J Am Med Informatics Assoc 1994; 1: 218-32.
  • 29 Das AK, Musen MA. A temporal query system for protocol-directed decision support. Meth Inform Med 1994; 33: 358-70.
  • 30 Buekens F, Ceusters W, De Moor G. The explanatory role of events in causal and temporal reasoning in medicine. Meth Inform Med 1993; 32: 274-8.
  • 31 Van Ginneken AM. Documenting an event and its evolving meaning. Meth Inform Med 1993; 32: 279-80.
  • 32 Rector AL, Nowlan WA, Kay S. Foundations for an electronic medical record. Meth Inform Med 1991; 30: 179-86.
  • 33 Rector AL, Nowlan WA, Kay S, Goble CA, Howkins TJ. A framework for modelling the electronic medical record. Meth Inform Med 1993; 32: 109-19.
  • 34 Van Ginneken AM, Stam H, Duisterhout JS. A powerful macro-model for the cornputer patient record. Proc Annu Symp Comput Appl Med Care 1994: 496-500.
  • 35 Boon WM. Data-entry support for better registration of the computer-based medical record. In: Kingsland IIILC. ed. Proceedings of the 13th SCAMC. . 1989: 737-40.
  • 36 Rector AL, Kay S. Descriptive models for medical records and data interchange. In: Barber B, Cao D, Qin D, Wagner G. eds. Proceedings of MEDJNFO 89. . Amsterdam: North-Holland; 1989: 230-4.
  • 37 Sowa JF. Conceptual Structures. Reading MA: Addison Wesley; 1984
  • 38 Dolin RH. Modeling in relational cornplexities of symptoms. Meth Inform Med 1994; 33: 448-53.
  • 39 Friedman C, Cimino JJ. B. JS A schema for representing medical language applied to clinical radiology. JAMIA 1994; 1: 233-48.
  • 40 Baud RH, Rassinoux AM, Scherrer JR. Natural language processing and semantical representation of medical texts. Meth Inform Med 1992; 31: 117-25.
  • 41 Rasmussen JENG, Bassoe CF. Semantic analysis of medical records. Meth Inform Med 1993; 32: 66-72.
  • 42 Sager N, Lynman M, Tick LJ, Ngo TN, Bucknall CE. Natural language processing of asthma discharge summaries for the monitoring of patient care. In: Safran C. ed. Proceedings of the 17th SCAMC. . New York: McGraw-Hill; 1993: 269-73.
  • 43 Schroder M. Knwoledge based analysis of radiological reports using conceptual graphs. In: Pfeiffer HD. ed. Proceedings of the 7thAnnual Workshop on Conceptual Graphs, Las Cruces, New Mexico. Berlin: Springer-Verlag; 1992: 213-22.
  • 44 Evans A, Cimino JJ, Hersh WR, Huff SM, Bell DS. Toward a medical-concept representation language. JAMIA 1994; 1: 207-17.
  • 45 Essin DJ. Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records. Meth Inform Med 1993; 32: 265-8.
  • 46 Van Ginneken AM. Modelling domain knowledge: a step toward intelligent data management [editorial] [see comments]. Meth Inform Med 1993; 32: 270-1.
  • 47 Conklin J. Hypertext: an introduction and survey. IEEE Computer 1987. 20: (9)
  • 48 Bluernke DA, Eng J. An automated radi ology reporting system that uses HyperCard. Ajr Am J Roentgenol 1993; 160: 185-7.
  • 49 United States Center for Health Statisties. Int. Classification of Diseases, ninth revision, with clinical modifications. Washington. D.C.: 1980
  • 50 Côte AR. Architecture of SNOMED. In: Orthner HF, Blum BI. eds. Proceedings of the 10th SCAMC. . Springer-Verlag: 1986: 167-79.
  • 51 NHS Centre for Coding and Classification. Read Code File Structure Version 3: Overview and Technical Description Woodgate, Leicestershire, U. K.: 1993
  • 52 Lindberg DA, Humphreys BL, McCray AT. The Unified Medical Language System. Meth Inform Med 1993; 32: 281-91.
  • 53 Campbell JR, Payne TH. A comparison of four schemes for codification of problem lists. In: Ozbolt JG. ed. Proceedings of the 18th SCAMC. Special issue of JAMIA. 1994: 201-5.
  • 54 Moore GW, Berman JJ. Automatic SNOMED coding. In: Ozbolt JG. ed. Proceedings of the 18th SCAM C. Special issue of JAMIA. 1994: 225-9.
  • 55 Campbell KE, Musen MA. Creation of a systematic domain for medical care: the need for a comprehertsive patient-de-scription vocabulary. In: Lun KC. et al eds. Proceedings of MEDINF092. . 1992: 1437-42.
  • 56 Cimino JJ. Data storage and knowledge representation for clinical workstations. Int J Biomed Com put 1994; 34: 185-94.
  • 57 Nowlan WA, Rector AL, Rush TW, Solomon WD. From terminology to terminology servers. In: Ozbolt JG. ed. Proceedings of the 18th SCAMC. Special issue of JAMIA. 1994: 150-4.
  • 58 Rector AL, Nowlan WA, Glowinski A. Goals for concept representation in the GALEN project. In: Safran C. ed. Proceedings of the 17th SCAMC. . New York: McGraw-Hill; 1993: 414-8.
  • 59 Rector AL, Nowlan W. The GALEN representation and integration language (GRAIL) kernel. GALEN deliverbale 6. Medical Informatics Group, University of Manchester. 1993
  • 60 Masarie FE, Miller RA, Bouhaddu O. et al. An interlingua for electronic interchange of medical information: using frames to map between clinical vocabularies. Comput Biomed Res 1991; 24: 379-400.
  • 61 Wyatt JC. Clinical data systems, Part 3: Development and evaluation. Lancet 1994; 344: 1682-8.
  • 62 Kent DL, Shortliffe EH, Carlson RW, Bischoff MB, Jacobs CD. Improvements in data collection through physician use of a computer-based chemotherapy treatment consultant. J Clin Oncol 1985; 3: 1409-17.
  • 63 Christie P, Heslop J, Robertson J, Jones R, Gruer L. A clinical information system for HIV IAIDS patients at Ruchill Hospital, Glasgow: development & evelauation. In: O’Moore R. et al eds. Lecture Notes in Medical Informatics, New York: Springer-Verlag; 1990. 40 567-9.
  • 64 Trace D, Naeymi-Rad F, Haines D. et al. Intelligent Medical Record-entry (IMR-E). J Med Syst 1993; 17: 139-51.
  • 65 Howkins TJ, Kay S, Rector AL. et al. An overview of the PEN & PAD project. In: Rienhoff O, Lindberg DAB. eds. Lecture Notes in Medical Informatics 1990; 40: 73-8.
  • 66 Lussier YA, Maksud M, Desruisseaux B, Yale PP, St-Arneault R., Pure MD. a Computerized Patient Record software for direct data entry by physicians using a keyboard-free pen-based portable cornputer. Proc Annu Symp Comput Appl MedCare 1992: 261-4.
  • 67 Gouveia-Oliveira A, Salgado NC. A unified approach to the design of clinical reporting systems. Meth Inform Med 1994; 33: 479-87.
  • 68 Bernauer J. Conceptual graphs as an operational model for descriptive findings. In: Clayton PD. ed. Proceedings of the I 5th SCAM C. New York: McGraw-Hill; 1991: 214-8.
  • 69 Poon AD, Fagan LM. The design and evaluation of a pen-based computer system for structured data entry. In: Ozbolt JG. ed. Proceedings of the 18th SCAMC. Special issue of JAMIA. 1994: 447-51.
  • 70 Moorman PW, van Ginneken AM, van der Lei J, van Bemmel JH. A model for structured data entry based on explicit descriptional knowledge. Meth Inform Med 1994; 33: 454-63.
  • 71 Cimino JJ, Clayton PD, Hripsack G, Johnson SB. Knowledge-based approaches to the maintenance of a large controlled medical terminology. JAMIA 1994; 1: 35-50.
  • 72 Jones RB, Hedley A. Evaluation of a diabetes register and information system. In: Current Perspectives in Health Computing . Weybridge: BJHC; 1986: 80-7.
  • 73 Kuhn K, Gaus W, Wechsler JG. et al. Structured reporting of medical findings: evaluation of a system in gastroenterology. Meth Inform Med 1992; 31: 268-74.
  • 74 Whiting-O’Keefe QE, Simborg DW, Epstein WV, Warger A. A computerized summary medical record system can provide more information than the standard medical record. JAMA 1985; 254: 1185-92.
  • 75 Spann SJ. Should the complete medical record be computerized in family prac tice? An affirmative view. J Fam Pract 1990; 30: 457-60.
  • 76 Rind OM, Safran C. Real and imagined barriers to an electronic medical record. Proc Annu Symp Comput Appl Med Care 1993: 74-8.
  • 77 van Ginneken AM, Stam H, Moorman PW. A multi-strategy approach for medical records of specialists. Accepted for MEDINFO 95. Vancouver B.C.: 1995
  • 78 Bell OS, Pattison-Gordon E, Greenes RA. Experiments in concept modeling for radiographic image reports. JAM. LA; 1994; 1: 249-62.
  • 79 Shortliffe EH, Tang PC, Detmer DE. Patient records and computers Ann In. tern Med 1991; 115: 979-81.
  • 80 Sheagren JN, Zweifler AJ, Woolliscroft JO. The present medical database need reorganization. It’s time for a change. Arch Intern Med 1990; 150: 2014-5.
  • 81 Fries JF. The chronic disease data ba model: a conceptual framework for the computer-based medical record. Compu, BiomedRes 1992; 25: 586-601.
  • 82 VanderLei J, Duisterhout JS, Westerho HP. et al. The introduction of computer based patient records in The Nether lands. Ann Intern Med 1993; 119: 1036-41.
  • 83 Musen MA. Thestrainedqualityofmedi cal data. Methods InfMed 1989; 28: 123-5.
  • 84 Van der Lei J. Use and abuse of corn puter-stored medical records. Meth In formMed 1991; 30: 79-80.
  • 85 Carpenter PC. The electronic medical record: perspective from Mayo Clinic Int J Biomed Comput. 1994; 34: 159-71.
  • 86 Barnett GO, Jenders RA, Chueh HC. The computer-based clinical record where do we stand?. Ann Intern Med 1993; 1191: 046-8.
  • 87 Nygren E, Henriksson P. Reading the medical record. I. Analysis of physicians’ ways of reading the medical record. Comput Meth Progr Biomed 1992; 39: 1-12.