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When Medical Expertise Meets Record Expertise: The Practices of Patient Accessible Medical Records in China

Conference paper
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Abstract

Recent consumer, private sector, and governmental health informatics initiatives outline patient accessible medical records (PAMR) as key for engaging patients and supporting patient-clinician communication. However, many challenges have been encountered in designing usable digital systems for patients to access and use their medical records. Barriers to such systems include social, cultural, and policy constraints in addition to usability problems. In particular, questions of expertise, responsibility, and ownership surrounding medical records are often hotly contested between medical professionals and healthcare organizations. In broaching the design challenge of PAMR, much can be learned from examining existing practices for patient carried and accessible records in contexts where these practices are well established. We examine practices surrounding PAMR in a setting where medical records have long been managed by patients: the Chinese healthcare system. Through close examination of managing medical records and sharing medical health information, we find that these personal record practices in China enable a two-way medical records sharing practice between patients and their providers, which fundamentally reconfigures the patient role in healthcare process, facilitates development of ‘record expertise’ on the part of patients, and joint responsibility for health management. We use these findings to illuminate the potential benefits of PAMR, and to offer design considerations to optimize future systems design and deployment efforts in other contexts.

Keywords

Healthcare Organization Medical Visit Cooperative Work Personal Health Records Consult Room 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of InformaticsUniversity of CaliforniaIrvineUSA
  2. 2.Intel LabsHillsboroUSA

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