Evidence map›Paper›PMID 34871412›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

The role of electronic health record developers in hospital patient sharing.

Yuriy Pylypchuk, Chad D Meyerhoefer, William Encinosa, Talisha Searcy

Open access · greenAbstract read
In one paragraph

Article 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Interoperability of health-related social needs data at US hospitals.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  2. Article
  3. Extracting laboratory test information from paper-based reports.BMC medical informatics and decision making · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Yuriy PylypchukDepartment of Health and Human Services, Office of the National Coordinator for Health Information Technology, Washington, District of Columbia, USA.
Chad D MeyerhoeferCollege of Business, Lehigh University; Rauch Business Center, Bethlehem, Pennsylvania, USA.
William EncinosaDepartment of Health and Human Services, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.
Talisha SearcyDepartment of Health and Human Services, Office of the National Coordinator for Health Information Technology, Washington, District of Columbia, USA.
Office of the National Coordinator for Health Information Technology · USAgency for Healthcare Research and Quality · USBaruch College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether hospital adoption of a new electronic health record (EHR) developer increases patient sharing with hospitals using the same developer. MATERIALS AND

methodsWe extracted data on patients shared with other hospitals for 3076 US nonfederal acute care hospitals from the 2011 to 2016 Centers for Medicare & Medicaid Services Physician Shared Patient Patterns database. We calculated the ratio of patients shared with hospitals outside of the focal hospital's network that use the same EHR developer as the focal hospital, and estimated difference-in-differences models to compare same-developer patient sharing among hospitals that switched to a new developer with those that did not switch developer.

resultsSwitching to a new EHR developer increased the ratio of patients shared with other hospitals having the same EHR developer by 4.1-19.3%, depending on model specification. The magnitude of this effect varied by EHR developer and was increasing in developer market share. DISCUSSION: Consolidation in the EHR industry has led to higher patient sharing among hospitals with the same EHR developer. Contributing factors could include the growth of developer-based health information exchanges, customizable referral management systems, and provider preferences for easy and reliable data exchange. However, hospital transfers that are significantly influenced by EHR developer could lead to poor patient-provider matches.

conclusionHospitals' choice of EHR developer impacts the flow of patients across hospitals, which could have both desirable and undesirable effects on patient care. Future research should investigate whether health outcomes decline with greater same-developer patient sharing.

Indexed as

Electronic Health RecordsHealth Information ExchangeAgedData ManagementHospitalsHumansMedicareUnited Stateselectronic health recordhealth information exchangeinformation blockingpatient sharing

Identifiers

PMID34871412
PMCPMC8800526
OpenAlexW4200089789

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.