Evidence map›Paper›PMID 26958202›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

In Search of Social Translucence: An Audit Log Analysis of Handoff Documentation Views and Updates.

Silis Y Jiang, R Stanley Hum, David Vawdrey, Lena Mamykina

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. 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. 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

4 authors.

Silis Y JiangDepartment of Biomedical Informatics, Columbia University, New York, NY.
R Stanley HumDepartment of Pediatrics, Columbia University, New York, NY.
David VawdreyDepartment of Biomedical Informatics, Columbia University, New York, NY; NewYork-Presbyterian Hospital Value Institute, New York, NY.
Lena MamykinaDepartment of Biomedical Informatics, Columbia University, New York, NY.

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

Communication and information sharing are critical parts of teamwork in the hospital; however, achieving open and fluid communication can be challenging. Finding specific patient information within documentation can be difficult. Recent studies on handoff documentation tools show that resident handoff notes are increasingly used as an alternative information source by non-physician clinicians. Previous findings also show that residents have become aware of this unintended use. This study investigated the alignment of resident note updating patterns and team note viewing patterns based on usage log data of handoff notes. Qualitative interviews with clinicians were used to triangulate findings based on the log analysis. The study found that notes that were frequently updated were viewed significantly more frequently than notes updated less often (p < 2.2 × 10(-16)). Almost 44% of all notes had aligned frequency of views and updates. The considerable percentage (56%) of mismatched note utilization suggests an opportunity for improvement.

Indexed as

CommunicationInternship and ResidencyPatient HandoffAcademic Medical CentersDocumentationElectronic Health RecordsHumansMedical Records Systems, ComputerizedNew York CityPatient Care Team

Identifiers

PMID26958202
PMCPMC4765635

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.