Evidence map›Paper›PMID 41705226›Full record

ArticleJAMIA open2026

Provider and information technology operations staff perspectives on the feasibility of writing patient-generated health data into the electronic health record.

Aman Saiju, Subiksha Umakanth, Anna Vaynrub, Romi Eli, Alissa Michel, Katherine D Crew, Rita Kukafka

Abstract read
In one paragraph

Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Aman SaijuDepartment of Population and Family Health, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID https://orcid.org/0000-0002-8019-2246
Subiksha UmakanthDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, United States.
Anna VaynrubDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, United States.
Romi EliDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, United States.
Alissa MichelDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, United States.
Katherine D CrewDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, United States.
Rita KukafkaDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, United States.

Funding

Molecular Oncology Training ProgramT32CA203703 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Katherine D Crew, DAWN HERSHMAN · 2016 to 2026
$4.1M
Integrating EHR and patient-generated health data for breast cancer risk assessment and decision support in a diverse multiethnic populationR21MD017654 · NIMHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUKAFKA, RITA · 2022 to 2023
$452k
NCI NIH HHS T32 CA203703NIMHD NIH HHS R21 MD017654
6 · The paper itself

Abstract

Objectives: This study aims to develop a detailed understanding of provider and Information Technology (IT) operations staff experiences and attitudes regarding patients' ability to edit their data. This includes understanding barriers to developing a process to write back data into the electronic health record (EHR) as well as a concrete set of recommendations on incorporating patient-generated data into the EHR. Materials and Methods: Results: Providers and IT operations staff reported varied knowledge of how patients interact with their data but collectively stated a need for increasing EHR accuracy that prioritizes provider-patient communication. Participants supported a write-back process and had specific suggestions for implementation mechanisms (such as the option to upload test results when submitting changes). Discussion: Providers and IT operations staff maintained that existing data management routes used for external data incorporation should be utilized, and that providers should screen edit requests to ensure EHR quality and accuracy. Conclusion: While participants felt a write-back of patient-derived data would be helpful, future studies should directly assess nursing staff and advanced practice providers as well as patient perspectives to ensure equity and efficacy.

Indexed as

EHR editingelectronic health recordsfast healthcare interoperability resourcespatient generated health dataProvider and IT perspectivesstakeholder analysis

Identifiers

PMID41705226
PMCPMC12907014

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.