Evidence map›Paper›PMID 40417528›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

User Comprehension and EHR Integration of the

Subiksha Umakanth, Anna Vaynrub, Harry West, Jill Dimond, Alissa Michel, Katherine D Crew, Rita Kukafka

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Subiksha UmakanthDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY.
Anna VaynrubDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY.
Harry WestFu Foundation School of Engineering and Applied Science, Columbia University, New York, NY.
Jill DimondSassafras Tech Collective, Ann Arbor, MI.
Alissa MichelSassafras Tech Collective, Ann Arbor, MI.
Katherine D CrewDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY.
Rita KukafkaDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY.

Funding

Molecular Oncology Training ProgramT32CA203703 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Katherine D Crew, DAWN HERSHMAN · 2016 to 2026
$4.1M
Multicenter trial of decision support for breast cancer chemopreventionR01CA226060 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREW, KATHERINE D, KUKAFKA, RITA · 2019 to 2023
$3.3M
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 R01 CA226060NCI NIH HHS T32 CA203703NIMHD NIH HHS R21 MD017654
6 · The paper itself

Abstract

RealRisks is a decision aid that integrates patient-generated and electronic health record (EHR) data using Fast Healthcare Interoperability Resources (FHIR). It offers modules to enhance understanding of breast cancer risk and a way for individuals to review and modify their EHR data before it is used in their personal risk assessment. RealRisks intends to encourage high-risk patients to take risk-reducing measures. To better understand how patients understand risk and barriers to action, we conducted in-depth interviews as part of a usability study to assess the clarity and interpretability of RealRisks. Overall, participants demonstrated an improved understanding of breast cancer risk after using RealRisks. However, challenges were noted for certain concepts, in particular, lifetime risk, how benign breast disease affects your risk, and the differences between hereditary, sporadic, and familial cancer. The EHR download feature was well-received, but some raised concerns about insurance and privacy/security.

Indexed as

Breast NeoplasmsDecision Support Systems, ClinicalDecision Support TechniquesElectronic Health RecordsComprehensionFemaleHumansInterviews as TopicQualitative ResearchRisk Assessment

Identifiers

PMID40417528
PMCPMC12099428

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.