Literature DB >> 8228770

Computerised linking of medical records: methodological guidelines.

L Gill1, M Goldacre, H Simmons, G Bettley, M Griffith.   

Abstract

OBJECTIVES: To report on the development of computer assisted methods for linking medical records and record abstracts.
DESIGN: The methods include file blocking, to put records in an order which makes searching efficient; matching, which is the process of comparing records to determine whether they do or do not relate to the same person; linkage, which is the process of assembling correctly matched records into a time sequenced composite record for the individual; and validation checks and corrections, in which any inconsistencies between different records for the same person are identified and corrected.
SETTING: The dataset comprising the Oxford record linkage study which includes hospital inpatient records and vital records. RESULTS AND
CONCLUSIONS: Probability matching, using an array of identifiers, achieves much higher levels of correct matching than is generally achievable by exact character by character comparisons. The increasing use of information technology to store data about health and health care means that there is increasing scope to link records for research and for patient care. Sophisticated methods to achieve this on a large scale are now available.

Entities:  

Mesh:

Year:  1993        PMID: 8228770      PMCID: PMC1059801          DOI: 10.1136/jech.47.4.316

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  4 in total

1.  Automatic linkage of vital records.

Authors:  H B NEWCOMBE; J M KENNEDY; S J AXFORD; A P JAMES
Journal:  Science       Date:  1959-10-16       Impact factor: 47.728

2.  Record Linkage.

Authors:  H L Dunn
Journal:  Am J Public Health Nations Health       Date:  1946-12

3.  The district number: a comparative test of some record matching methods.

Authors:  J A Baldwin; L E Gill
Journal:  Community Med       Date:  1982-11

4.  Record linking: the design of efficient systems for linking records into individual and family histories.

Authors:  H B Newcombe
Journal:  Am J Hum Genet       Date:  1967-05       Impact factor: 11.025

  4 in total
  27 in total

1.  Outcomes research and community health information systems.

Authors:  C H Slater
Journal:  J Med Syst       Date:  1999-08       Impact factor: 4.460

Review 2.  Use of routine healthcare data in safe and cost-effective drug use.

Authors:  C J Currie; T M MacDonald
Journal:  Drug Saf       Date:  2000-02       Impact factor: 5.606

3.  Practical introduction to record linkage for injury research.

Authors:  D E Clark
Journal:  Inj Prev       Date:  2004-06       Impact factor: 2.399

4.  A record linkage protocol for a diabetes registry at ethnically diverse community health centers.

Authors:  Neil A Maizlish; Linda Herrera
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

5.  Socioeconomic differences in childhood hospital inpatient service utilisation and costs: prospective cohort study.

Authors:  Stavros Petrou; Emil Kupek
Journal:  J Epidemiol Community Health       Date:  2005-07       Impact factor: 3.710

6.  An empiric modification to the probabilistic record linkage algorithm using frequency-based weight scaling.

Authors:  Vivienne J Zhu; Marc J Overhage; James Egg; Stephen M Downs; Shaun J Grannis
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

7.  Incidence of brain tumours in two English counties: a population based study.

Authors:  L H Pobereskin; J B Chadduck
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-10       Impact factor: 10.154

8.  An algorithm to match registries with minimal disclosure of individual identities.

Authors:  G S Subramanyan; D S Yokoe; S Sharnprapai; Y Tang; R Platt
Journal:  Public Health Rep       Date:  1999 Jan-Feb       Impact factor: 2.792

9.  Preparation of name and address data for record linkage using hidden Markov models.

Authors:  Tim Churches; Peter Christen; Kim Lim; Justin Xi Zhu
Journal:  BMC Med Inform Decis Mak       Date:  2002-12-13       Impact factor: 2.796

10.  Trends in colorectal cancer care in southern England, 1989-1993: using HES data to inform cancer services reviews.

Authors:  A M Pollock; N Vickers
Journal:  J Epidemiol Community Health       Date:  1998-07       Impact factor: 3.710

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