Evidence map›Paper›PMID 33576379›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

HITECH to 21st century cures: clinician burden and evolving health IT policy.

Andrew Gettinger, Teresa Zayas-Cabán

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. ThePatterns (New York, N.Y.) · 2022
    Article
  8. My mom got diagnosed with cancer through the MyChart app.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Andrew GettingerOffice of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC, USA.
Teresa Zayas-CabánOffice of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adoption and use of health information technology (IT) was identified as 1 solution to quality and safety issues that permeate the United States health care system. Implementation of health IT has accelerated across the US over the past decade, in part, as a result of legislative and regulatory requirements and incentives. However, adoption of these systems has burdened clinician users due to design, configuration, and implementation issues, resulting in poor usability, challenges to workflow integration, and cumbersome documentation requirements. The path to alleviating these clinician burdens requires a clear understanding of the intent and evolution of pertinent regulations and the context in which they exist. This article reviews the Office of the National Coordinator of Health Information Technology's efforts, documents current regulatory actions, and discusses additional policy opportunities that can further improve clinician satisfaction and effectiveness in providing health care with health IT that is an asset, not an obstacle.

Indexed as

Health PolicyMedical InformaticsAmerican Recovery and Reinvestment ActHealth PersonnelHumansUnited StatesWorkloadclinician burdenhealth care providershealth information technologypolicyusability

Identifiers

PMID33576379
PMCPMC8068412

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.