Evidence map›Paper›PMID 38481028›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.

Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Michael Murray, Ashley Galloway, David Heise, Keith Connatser, Laura Davies, Jeffrey Gosian, Monika Maripuri and 16 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

26 authors.

Jacqueline HonerlawCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.ORCID 0000-0002-5872-359X
Yuk-Lam HoCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Francesca FontinCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Michael MurrayCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Ashley GallowayCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
David HeiseOak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830, United States.
Keith ConnatserOak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830, United States.
Laura DaviesOak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830, United States.
Jeffrey GosianCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Monika MaripuriCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
John RussoCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Rahul SangarCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Vidisha TanukondaCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Edward ZielinskiCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Maureen DubreuilVA Boston Healthcare System, Boston, MA 02111, United States.
Andrew J ZimolzakCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX 77030, United States.ORCID 0000-0003-0973-5639
Vidul A PanickanVA Boston Healthcare System, Boston, MA 02111, United States.
Su-Chun ChengVA Boston Healthcare System, Boston, MA 02111, United States.
Stacey B WhitbourneVA Boston Healthcare System, Boston, MA 02111, United States.
David R GagnonVA Boston Healthcare System, Boston, MA 02111, United States.
Tianxi CaiVA Boston Healthcare System, Boston, MA 02111, United States.
Katherine P LiaoVA Boston Healthcare System, Boston, MA 02111, United States.
Rachel B RamoniOffice of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.ORCID 0000-0002-1459-9638
J Michael GazianoVA Boston Healthcare System, Boston, MA 02111, United States.
Sumitra MuralidharOffice of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
Kelly ChoCentralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.ORCID 0000-0003-1727-7076

Funding

Department of Veterans Affairs Office of Information Technology Inter-Agency VA118-16-M-1062Department of Veterans Affairs Office of Research and DevelopmentOffice of Science of the US Department of Energy
6 · The paper itself

Abstract

objectiveDevelopment of clinical phenotypes from electronic health records (EHRs) can be resource intensive. Several phenotype libraries have been created to facilitate reuse of definitions. However, these platforms vary in target audience and utility. We describe the development of the Centralized Interactive Phenomics Resource (CIPHER) knowledgebase, a comprehensive public-facing phenotype library, which aims to facilitate clinical and health services research. MATERIALS AND

methodsThe platform was designed to collect and catalog EHR-based computable phenotype algorithms from any healthcare system, scale metadata management, facilitate phenotype discovery, and allow for integration of tools and user workflows. Phenomics experts were engaged in the development and testing of the site.

resultsThe knowledgebase stores phenotype metadata using the CIPHER standard, and definitions are accessible through complex searching. Phenotypes are contributed to the knowledgebase via webform, allowing metadata validation. Data visualization tools linking to the knowledgebase enhance user interaction with content and accelerate phenotype development. DISCUSSION: The CIPHER knowledgebase was developed in the largest healthcare system in the United States and piloted with external partners. The design of the CIPHER website supports a variety of front-end tools and features to facilitate phenotype development and reuse. Health data users are encouraged to contribute their algorithms to the knowledgebase for wider dissemination to the research community, and to use the platform as a springboard for phenotyping.

conclusionCIPHER is a public resource for all health data users available at https://phenomics.va.ornl.gov/ which facilitates phenotype reuse, development, and dissemination of phenotyping knowledge.

Indexed as

Electronic Health RecordsPhenomicsAlgorithmsKnowledge BasesPhenotypealgorithmselectronic health recordslibraryphenomics

Identifiers

PMID38481028
PMCPMC11031216

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.