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Use of electronic medical records and biomarkers to manage risk and resource efficiencies

Ryan, Dermot (författare)
Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Edinburgh, Midlothian, Scotland.
Blakey, John (författare)
Univ Liverpool Liverpool Sch Trop Med, Clin Sci, Liverpool, Merseyside, England.;Royal Liverpool Hosp, Resp Med, Liverpool, Merseyside, England.
Chisholm, Alison (författare)
Resp Effectiveness Grp, Cambridge, England.
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Price, David (författare)
Resp Effectiveness Grp, Cambridge, England.;Univ Aberdeen, Ctr Acad Primary Care, Aberdeen, Scotland.;Observat & Pragmat Res Inst, Singapore, Singapore.
Thomas, Mike (författare)
Univ Southampton, Fac Med, Primary Care & Populat Sci, Southampton, Hants, England.
Ställberg, Björn (författare)
Uppsala universitet,Allmänmedicin och preventivmedicin
Lisspers, Karin (författare)
Uppsala universitet,Allmänmedicin och preventivmedicin
Kocks, Janwillem W. H. (författare)
Univ Groningen, Univ Med Ctr Groningen, Dept Gen Practice, Groningen, Netherlands.;Univ Groningen, Univ Med Ctr Groningen, Res Inst Asthma & COPD, GRIAC, Groningen, Netherlands.
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Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Edinburgh, Midlothian, Scotland Univ Liverpool Liverpool Sch Trop Med, Clin Sci, Liverpool, Merseyside, England.;Royal Liverpool Hosp, Resp Med, Liverpool, Merseyside, England. (creator_code:org_t)
2017-03-14
2017
Engelska.
Ingår i: EUROPEAN CLINICAL RESPIRATORY JOURNAL. - : TAYLOR & FRANCIS LTD. - 2001-8525. ; 4, s. 1-12
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The migration from paper to electronic medical records (EMRs) was motivated by the administrative need to record, retrieve and process increasing amounts of clinical data in the 1980s. In the intervening period, there has been growing recognition of the potential of such records for achieving care efficiencies, informing clinical decision making and real-life research. EMRs can be used to characterise patient groups, management approaches and differential outcomes. Characterisation can also help with identification of potential biomarkers for future risk determination and likely treatment response. The future heralds even greater opportunities through integration of clinical records and a range of technology-based solutions within a more complete electronic health record (EHR). Through application of algorithms based on identified risk predictors and disease determinants, clinical records could also be used to enable risk stratification of patients to optimise targeted interventions, conserving resources to achieve individual patient and system-wide benefit. In this review, we reflect on the evolution of the EMR and EHR and discuss current and emerging opportunities, particularly with respect to biomarkers and targeting of innovative biologic interventions. We also consider some of the critical issues associated with realising the potential of the EHR as a clinical aid and research tool in an age of emerging technologies.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Lungmedicin och allergi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Respiratory Medicine and Allergy (hsv//eng)

Nyckelord

Electronic medical record (EMR)
electronic health record (EHR)
database
asthma
biomarker
primary care
CDSS
big data

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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