Evidence map›Paper›PMID 33792009›Full record

ReviewApplied clinical informatics2021

Defining Data Migration Across Multidisciplinary Ambulatory Clinics Using Participatory Design.

Brianne MacKenzie, Gabriel Anaya, Jinwei Hu, Arlen Brickman, Peter L Elkin, Mandip Panesar

Abstract readReview
In one paragraph

Review in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Applying requisite imagination to safeguard electronic health record transitions.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

6 authors.

Brianne MacKenzieDepartment of Biomedical Informatics, The State University of New York at Buffalo, Buffalo, New York, United States.
Gabriel AnayaDepartment of Biomedical Informatics, The State University of New York at Buffalo, Buffalo, New York, United States.
Jinwei HuDepartment of Biomedical Informatics, The State University of New York at Buffalo, Buffalo, New York, United States.
Arlen BrickmanDepartment of Biomedical Informatics, The State University of New York at Buffalo, Buffalo, New York, United States.
Peter L ElkinDepartment of Biomedical Informatics, The State University of New York at Buffalo, Buffalo, New York, United States.
Mandip PanesarDepartment of Biomedical Informatics, The State University of New York at Buffalo, Buffalo, New York, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to develop an institutional approach for defining data migration based on participatory design principles.

methodsWe outline a collaborative approach to define data migration as part of an electronic health record (EHR) transition at an urban hospital with 20 ambulatory clinics, based on participatory design. We developed an institution-specific list of data for migration based on physician end-user feedback. In this paper, we review the project planning phases, multidisciplinary governance, and methods used.

resultsDetailed data migration feedback was obtained from 90% of participants. Depending on the specialty, requests for historical laboratory values ranged from 2 to as many as 145 unique laboratory types. Lookback periods requested by physicians varied and were ultimately assigned to provide the most clinical data. This clinical information was then combined to synthesize an overall proposed data migration request on behalf of the institution.

conclusionInstitutions undergoing an EHR transition should actively involve physician end-users and key stakeholders. Physician feedback is vital for developing a clinically relevant EHR environment but is often difficult to obtain. Challenges include physician time constraints and overall knowledge about health information technology. This study demonstrates how a participatory design can serve to improve the clinical end-user's understanding of the technical aspects of an EHR implementation, as well as enhance the outcomes of such projects.

Indexed as

Medical InformaticsPhysiciansAmbulatory Care FacilitiesElectronic Health RecordsHumans

Identifiers

PMID33792009
PMCPMC8013782

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.