End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits.

Joshua R Vest, Mark A Unruh, Katy Ellis Hilts, Lindsey Sanner, Joshua Jones, Shahid Khokhar, Hye-Young Jung

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Joshua R VestIndiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA.

Mark A UnruhWeill Cornell Medical College, New York, NY, USA.

Katy Ellis HiltsIndiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA.

Lindsey SannerIndiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA.

Joshua JonesRegenstrief Institute, Inc., Indianapolis, IN, USA.

Shahid KhokharRegenstrief Institute, Inc., Indianapolis, IN, USA.

Hye-Young JungWeill Cornell Medical College, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing home (NH) patients are extensive users of emergency department (ED) services. Problematically, poor information sharing and incomplete access to information complicates the delivery of care in EDs for NH patients. Paper-based transfer forms can support information sharing, but have significant limitations. Standards-based automated transfer-forms that leverage health information exchange data may address the limitations of paper-based forms and better support care delivery. This study developed a prototype SMART on FHIR automated transfer form for NH patients using priority data elements identified through individual interviews, a review of existing transfer forms, a targeted survey of end users, and a design workshop. Analyses were grounded in the 5 Rights of clinical decision support framework. The most valuable data elements included: emergency contact/healthcare proxy, current medication list, reason for transfer to the ED, baseline neurological state, and relevant diagnoses / medical history. The working prototype was successfully deployed within an Amazon Web Service environment.

Indexed as

Decision Support Systems, ClinicalHealth Information ExchangeHealth Information InteroperabilityAdultAgedAged, 80 and overContinuity of Patient CareElectronic Health RecordsEmergency Service, HospitalHumansMiddle AgedNursing HomesPatient Transfer

Identifiers

PMID33936500

PMCPMC8075455

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.