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Using Linked Electronic Health Records to Estimate Healthcare Costs: Key Challenges and Opportunities

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  • Miqdad Asaria

    (University of York)

  • Katja Grasic

    (University of York)

  • Simon Walker

    (University of York)

Abstract

This paper discusses key challenges and opportunities that arise when using linked electronic health records (EHR) in health economics and outcomes research (HEOR), with a particular focus on estimating healthcare costs. These challenges and opportunities are framed in the context of a case study modelling the costs of stable coronary artery disease in England. The challenges and opportunities discussed fall broadly into the categories of (1) handling and organising data of this size and sensitivity; (2) extracting clinical endpoints from datasets that have not been designed and collected with such endpoints in mind; and (3) the principles and practice of costing resource use from routinely collected data. We find that there are a number of new challenges and opportunities that arise when working with EHR compared with more traditional sources of data for HEOR. These call for greater clinician involvement and intelligent use of sensitivity analysis.

Suggested Citation

  • Miqdad Asaria & Katja Grasic & Simon Walker, 2016. "Using Linked Electronic Health Records to Estimate Healthcare Costs: Key Challenges and Opportunities," PharmacoEconomics, Springer, vol. 34(2), pages 155-160, February.
    • Handle: RePEc:spr:pharme:v:34:y:2016:i:2:d:10.1007_s40273-015-0358-8
    DOI: 10.1007/s40273-015-0358-8
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    References listed on IDEAS

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    1. Katja Grašič & Anne Mason & Andrew Street, 2015. "Paying for the quantity and quality of hospital care: the foundations and evolution of payment policy in England," Health Economics Review, Springer, vol. 5(1), pages 1-10, December.
    2. Asaria, Miqdad & Walker, Simon & Palmer, Stephen & Gale, Chris P & Shah, Anoop D & Abrams, Keith R & Crowther, Michael & Manca, Andrea & Timmis, Adam & Hemingway, Harry & Sculpher, Mark, 2016. "Using electronic health records to predict costs and outcomes in stable coronary artery disease," LSE Research Online Documents on Economics 101257, London School of Economics and Political Science, LSE Library.
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    Cited by:

    1. Eberechukwu Onukwugha, 2016. "Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis," PharmacoEconomics, Springer, vol. 34(2), pages 91-93, February.
    2. Paolo Biancone & Silvana Secinaro & Valerio Brescia & Davide Calandra, 2019. "Management of Open Innovation in Healthcare for Cost Accounting Using EHR," JOItmC, MDPI, vol. 5(4), pages 1-16, December.
    3. Miqdad Asaria, 2017. "Health care costs in the English NHS: reference tables for average annual NHS spend by age, sex and deprivation group," Working Papers 147cherp, Centre for Health Economics, University of York.
    4. Matthew Franklin & Sarah Davis & Michelle Horspool & Wei Sun Kua & Steven Julious, 2017. "Economic Evaluations Alongside Efficient Study Designs Using Large Observational Datasets: the PLEASANT Trial Case Study," PharmacoEconomics, Springer, vol. 35(5), pages 561-573, May.
    5. Matthew Franklin & James Lomas & Simon Walker & Tracey Young, 2019. "An Educational Review About Using Cost Data for the Purpose of Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 37(5), pages 631-643, May.

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