Evidence map›Paper›PMID 36259967›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA2022

Priorities to accelerate workflow automation in health care.

Teresa Zayas-Cabán, Tracy H Okubo, Steven Posnack

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Exploring Patient and Caregiver Work and Continuity of Care During Hospital-to-Home Transitions of Care in the Canadian Context.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  2. AI-Based Automation for Medication Reconciliation: Scoping Review.Journal of medical Internet research · 2026
    Article
  3. Development and application of desiderata for automated clinical ordering.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Teresa Zayas-CabánNational Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
Tracy H OkuboOffice of the Chief Information Officer, U.S. Department of Health and Human Services, Washington, District of Columbia, USA.
Steven PosnackOffice of the National Coordinator for Health Information Technology, Washington, District of Columbia, USA.

Funding

HHS HHSP233201600030I/75P00119F37001
6 · The paper itself

Abstract

Inefficient workflows affect many health care stakeholders including patients, caregivers, clinicians, and staff. Widespread health information technology adoption and modern computing provide opportunities for more efficient health care workflows through automation. The Office of the National Coordinator for Health Information Technology (ONC) led a multidisciplinary effort with stakeholders across health care and experts in industrial engineering, computer science, and finance to explore opportunities for automation in health care. The effort included semistructured key informant interviews, a review of relevant literature, and a workshop to understand automation lessons across nonhealth care industries that could be applied to health care. In this article, we describe considerations for advancing workflow automation in health care that were identified through these activities. We also discuss a set of six priorities and related strategies developed through the ONC-led effort and highlight the role the informatics and research communities have in advancing each priority and the strategies.

Indexed as

Delivery of Health CareMedical InformaticsAutomationHealth FacilitiesHumansWorkflowautomationfederal governmenthealth information technologypolicyworkflow

Identifiers

PMID36259967
PMCPMC9748536

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.