Evidence map›Paper›PMID 27497798›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA2017

Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.

Kirk Roberts, Mary Regina Boland, Lisiane Pruinelli, Jina Dcruz, Andrew Berry, Mattias Georgsson, Rebecca Hazen, Raymond F Sarmiento, Uba Backonja, Kun-Hsing Yu and 2 more

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Asynchronous automated electronic laboratory result notifications: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Examining the Use of Real-World Evidence in the Regulatory Process.Clinical pharmacology and therapeutics · 2020
    Review
  8. The Role of PAEHRs in Patient Involvement.Journal of medical systems · 2018
    Article
  9. Review
  10. A Semantic Parsing Method for Mapping Clinical Questions to Logical Forms.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    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

12 authors.

Kirk RobertsUS National Library of Medicine, Bethesda, Maryland.
Mary Regina BolandDepartment of Systems Biology, Columbia University, New York.
Lisiane PruinelliSchool of Nursing, University of Minnesota, Minneapolis.
Jina DcruzUS Centers for Disease Control and Prevention, Atlanta, Georgia.
Andrew BerryDepartment of Human Centered Design and Engineering, University of Washington, Seattle.
Mattias GeorgssonDepartment of Applied Health Technology, Blekinge Institute of Technology, Blekinge, Sweden.
Rebecca HazenDepartment of Biomedical and Health Informatics, University of Washington.
Raymond F SarmientoUS Centers for Disease Control and Prevention, Atlanta, Georgia.
Uba BackonjaDepartment of Biomedical and Health Informatics, University of Washington.
Kun-Hsing YuDepartment of Biomedical Informatics, Stanford University School of Medicine, Stanford, California.
Yun JiangDepartment of Systems, Population, and Leadership, University of Michigan School of Nursing, Ann Arbor.
Patricia Flatley BrennanSchool of Nursing, University of Wisconsin-Madison.

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Robust, Generalizable, and Fair Machine Learning Models for BiomedicineR35GM142879 · NIGMS · HARVARD MEDICAL SCHOOL · PI YU, KUN-HSING · 2021 to 2025
$2.4M
Natural Language Question Understanding for Electronic Health RecordsR00LM012104 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROBERTS, KIRK EDWARD · 2016 to 2018
$747k
NIGMS NIH HHS R35 GM142879NLM NIH HHS R00 LM012104NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.

Indexed as

Consumer Health InformaticsMedical InformaticsHumansMeaningful UsePatient ParticipationPublic Health InformaticsSocieties, MedicalUnited Statesbiomedical informaticsconsumer engagementelectronic health recordslearning health systemyear in review

Identifiers

PMID27497798
PMCPMC6080724

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.