The Strained Quality of Medical Data

Musen, M. A.

doi:10.1055/s-0038-1635561

Cited by 17 publications

(12 citation statements)

References 8 publications

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“…disease. They are not exclusive by de- (2) finition, but they have never occurred 515 simultaneously in one person, at least, according to our current clinical knowledge. They are exclusive by experience although it is not guaranteed that an exception will not appear in the future.…”

Section: Other Relationsmentioning

confidence: 86%

“…Nowadays, it is possible to store almost all types of clinical data in a computer where, of course, they are also available for clinical research. However, the quality of clinical data is generally low so that they often cannot be used as such for clinical research of high quality [1,2]. We think, therefore, that it is appropriate to investigate how to prepare high-quality clinical data in addition to the development of sophisticated clinical information systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Methodology for the Construction of a Disease Nomenclature and Classification System for Clinical Use

Ohashi¹,

Sato²,

Kaihara³

et al. 1995

Methods Inf Med

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Section: Other Relationsmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Methodology for the Construction of a Disease Nomenclature and Classification System for Clinical Use

Ohashi¹,

Sato²,

Kaihara³

et al. 1995

Methods Inf Med

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“…Data abstracted from medical records are often inaccurate because a variety of errors can occur, either when the information is first recorded in the notes, or when it is abstracted [ 21]. These errors can originate with the patient, with the clinician recording the information, in a laboratory, or in the process of data abstraction [ 22, 23]. We could not obviate errors that occurred when the information was first recorded, but have made strenuous efforts to minimize the errors that can occur during data abstraction and processing.…”

Section: Discussionmentioning

confidence: 99%

The HCV National Register: towards informing the natural history of hepatitis C infection in the UK

Harris¹,

Ramsay²,

Heptonstall³

et al. 2000

Journal of Viral Hepatitis

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The aim of this paper is to describe the development of a national hepatitis C register and the completeness of the data it contains. This is a descriptive report of the structure and function of the register, including case definitions, registration and follow-up procedures, and methods used to maximize data quality and to obtain comparative data sources. The register contains data on HCV-infected individuals who acquired their infections on a known date and by a known route; to date all are transfusion recipients identified during the UK lookback exercise, who tested positive or indeterminate for anti-HCV after receiving 'infected' blood issued before the introduction of routine testing of the blood supply for anti-HCV. By 31 December 1999, 871 (87%) of 996 eligible transfusion recipients had been registered, and 984 (99%) flagged in the NHS Central Registers. Registered patients had been infected for an average of 11.1 years (SEM 0.1); around half were being cared for by clinicians with a specialist interest in liver disease. Except for the information on tobacco use, current alcohol use, and hepatitis B status, data were more than 80% complete, and for most variables, more than 90% complete. The consistency of data abstraction was found to be 98% (SEM 0.5). In conclusion, the Register contains high quality anonymised data on one of the largest cohorts of individuals with HCV infections acquired on a known date and by a known route. It could serve as a model for other chronic disease registers; developers may find the structure, design, and methodological issues addressed useful.

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“…The deficit is particularly marked for health promotion advice: UK general practitioners recorded g i~n g advice on smoking in their notes on only 29% of the occasions it was recorded on tape, compared with noting 79% of the blood pressures they checked (Wilson & McDonald 1994). Bias in recording data in the notes can also be a problem: US clinicians may be inhibited in recording adverse events, or claim that patients were more ill than they actually were to attract greater reimbursement (Burnum 1989;Musen 1989). This problem exists even in the UK: data in G P computer systems tend to reflect the procedures for which GPs are reimbursed (Pringle & Hobbs 1991).…”

Section: Sources Of Data For Audit and Research And The Problems Of mentioning

confidence: 99%

Acquisition and use of clinical data for audit and research

Mrcp

1995

Evaluation Clinical Practice

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Acquisition of adequate patient data for clinical management is hard enough, but higher quality patient data are needed for clinical audit and research. This article discusses some of the problems of using routine clinical data for audit and research, aspects of data quality, sources of audit or research data and their problems, methods for improving data quality, the benefits and problems of computer-based systems and current trends in the capture and processing of clinical data.

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The Strained Quality of Medical Data

Cited by 17 publications

References 8 publications

Methodology for the Construction of a Disease Nomenclature and Classification System for Clinical Use

Methodology for the Construction of a Disease Nomenclature and Classification System for Clinical Use

The HCV National Register: towards informing the natural history of hepatitis C infection in the UK

Acquisition and use of clinical data for audit and research

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