Evidence map›Paper›PMID 12463797›Full record

ArticleProceedings. AMIA Symposium2002

The implementation of a Personal Digital Assistant (PDA) based patient record and charting system: lessons learned.

Aaron E Carroll, Sunil Saluja, Peter Tarczy-Hornoch

Abstract read
In one paragraph

Article in Proceedings. AMIA Symposium, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Personal digital assistants to collect tuberculosis bacteriology data in Peru reduce delays, errors, and workload, and are acceptable to users: cluster randomized controlled trial.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2009
    Trial
  2. Trial
  3. Article
  4. Barriers and Facilitators of Implementing Electronic Data Summaries in HIV/AIDS Care.NI 2012 : 11th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. International Congress in Nursing Informatics (11th : 2012 : Montreal, Quebec) · 2012
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. PalmCIS: a wireless handheld application for satisfying clinician information needs.Journal of the American Medical Informatics Association : JAMIA
    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

3 authors.

Aaron E CarrollRobert Wood Johnson Clinical Scholars Program, University of Washington, Seattle, WA, USA.
Sunil Saluja
Peter Tarczy-Hornoch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personal Digital Assistants (PDAs) offer many potential advantages to clinicians. A number of systems have begun to appear for all types of PDAs that allow for the recording and tracking of patient information. PDAs allow information to be both entered and accessed at the point of care. They also allow information entered away from a central repository to be added or "synced" with data through the use of a wireless or wired connection. Few systems, however, have been designed to work in the client/server environment. Even fewer have been designed as point of care additions to already existing enterprise systems. This paper describes the issues encountered in deploying such a system for use in the University of Washington Neonatal Intensive Care Unit (NICU). The lessons learned could be applied to other institutions that will seek to add handheld technology to information systems in the future.

Indexed as

Computers, HandheldMedical Records Systems, ComputerizedHumansInfant, NewbornIntensive Care Units, NeonatalPoint-of-Care SystemsSoftware

Identifiers

PMID12463797
PMCPMC2244531

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.