Evidence map›Paper›PMID 10566419›Full record

ArticleProceedings. AMIA Symposium1999

MediSign: using a web-based SignOut System to improve provider identification.

J Kannry, C Moore

Abstract read
In one paragraph

Article in Proceedings. AMIA Symposium, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

2 authors.

J KannryCenter for Medical Informatics, Mount Sinai Medical Center, NY, NY, USA.
C Moore

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuity of care necessitates communication between the primary providers of inpatient and outpatient care. Communication requires identification of providers in addition to clinical information. We have constructed a web-based SignOut System to improve provider identification. The web-based SignOut System correctly identified the provider for 100% (34/34) of patients in 1997 and 93% (37/40) of patients in 1998. The hospital bed census correctly identified the attending provider for 50% (17/34) of patients in 1997 and 73% (29/40) in 1998. When analyzed by attending type (i.e., service and private,) the SignOut System correctly identified 86% of service providers in contrast to the hospital bed census that correctly identified 57% of service providers. Both the SignOut System (100%) and the hospital bed census (95%) had superior results in identifying private attendings. The web-based technology provides a familiar user interface and ubiquitous workstation access.

Indexed as

InternetPatient DischargeBed OccupancyCommunicationContinuity of Patient CareEvaluation Studies as TopicHospital Information SystemsHospital-Physician RelationsHumansMedical AuditMedical Staff, HospitalPatient Identification SystemsPhysicians, FamilyRisk ManagementUser-Computer Interface

Identifiers

PMID10566419
PMCPMC2232603

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.