Electronic health records: High-quality electronic data for higher-quality clinical research

Mark G. Weiner, Jason A. Lyman, Shawn Murphy, Michael Weiner

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of th e patient's clinical status are not recorded. EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new, opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients diseases, practice styles, therapeutic modalities and clinical outcomes. This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief lastitute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successhilly within the clinical research enterprise.

Original languageEnglish
Pages (from-to)121-127
Number of pages7
JournalInformatics in Primary Care
Volume15
Issue number2
StatePublished - 2007

Fingerprint

Electronic Health Records
Health
Research
Vital Signs
Routine Diagnostic Tests
Physical Examination
Prescriptions
Demography
Data Accuracy
Delivery of Health Care
Industry

Keywords

  • Biomedical research
  • Computerised
  • Hospital information systems
  • Medical record systems

ASJC Scopus subject areas

  • Health Informatics
  • Leadership and Management
  • Medicine(all)

Cite this

Electronic health records : High-quality electronic data for higher-quality clinical research. / Weiner, Mark G.; Lyman, Jason A.; Murphy, Shawn; Weiner, Michael.

In: Informatics in Primary Care, Vol. 15, No. 2, 2007, p. 121-127.

Research output: Contribution to journalArticle

Weiner, Mark G. ; Lyman, Jason A. ; Murphy, Shawn ; Weiner, Michael. / Electronic health records : High-quality electronic data for higher-quality clinical research. In: Informatics in Primary Care. 2007 ; Vol. 15, No. 2. pp. 121-127.
@article{c5bc2cfb969c408385154d3aaea13258,
title = "Electronic health records: High-quality electronic data for higher-quality clinical research",
abstract = "In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of th e patient's clinical status are not recorded. EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new, opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients diseases, practice styles, therapeutic modalities and clinical outcomes. This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief lastitute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successhilly within the clinical research enterprise.",
keywords = "Biomedical research, Computerised, Hospital information systems, Medical record systems",
author = "Weiner, {Mark G.} and Lyman, {Jason A.} and Shawn Murphy and Michael Weiner",
year = "2007",
language = "English",
volume = "15",
pages = "121--127",
journal = "BMJ Health and Care Informatics",
issn = "2058-4555",
publisher = "BMJ Publishing Group",
number = "2",

}

TY - JOUR

T1 - Electronic health records

T2 - High-quality electronic data for higher-quality clinical research

AU - Weiner, Mark G.

AU - Lyman, Jason A.

AU - Murphy, Shawn

AU - Weiner, Michael

PY - 2007

Y1 - 2007

N2 - In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of th e patient's clinical status are not recorded. EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new, opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients diseases, practice styles, therapeutic modalities and clinical outcomes. This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief lastitute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successhilly within the clinical research enterprise.

AB - In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of th e patient's clinical status are not recorded. EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new, opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients diseases, practice styles, therapeutic modalities and clinical outcomes. This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief lastitute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successhilly within the clinical research enterprise.

KW - Biomedical research

KW - Computerised

KW - Hospital information systems

KW - Medical record systems

UR - http://www.scopus.com/inward/record.url?scp=34547856208&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547856208&partnerID=8YFLogxK

M3 - Article

C2 - 17877874

AN - SCOPUS:34547856208

VL - 15

SP - 121

EP - 127

JO - BMJ Health and Care Informatics

JF - BMJ Health and Care Informatics

SN - 2058-4555

IS - 2

ER -