Evidence map›Paper›PMID 15905487›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA

The impact of electronic health records on time efficiency of physicians and nurses: a systematic review.

Lise Poissant, Jennifer Pereira, Robyn Tamblyn, Yuko Kawasumi

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01905358 (Title), which is not on this map. Cited by 283 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
283citing papers in PubMed, 6 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.

NCT01905358 terminatednot on this map

Title: The Study of Intra-articular Interventions of Platelet Rich Plasma or Hyaluronic Acid Compounds vs. Usual Care (Exercise/Diet/Supplements) in the Medical Management of Knee OA- Effects on Pain and Function; Effects on Articular Cartilage; Effects on Time to Partial or Total Knee Arthroplasty: The Knee Usual Care Evaluation (KUCE) Study

Typeobservational_patient_registrySponsorHospital for Special Surgery, New YorkRan2013 to 2014Enrolled906ConditionsKnee Osteoarthritis
3 · Its place in the literature

Who cites it

283 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A systematic review of the impact of health information technology on nurses' time.Journal of the American Medical Informatics Association : JAMIA · 2020
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
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  12. Article
  13. Article
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  15. Article
  16. Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Review

223 more citing papers are in PubMed but not listed here.

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.

Lise PoissantClinical and Health Informatics Research Group, McGill University, Morrice House, 1140 Pine Ave. West, Montreal Quebec, Canada H3A 1A3. lise.poissant@mcgill.ca
Jennifer Pereira
Robyn Tamblyn
Yuko Kawasumi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic review of the literature was performed to examine the impact of electronic health records (EHRs) on documentation time of physicians and nurses and to identify factors that may explain efficiency differences across studies. In total, 23 papers met our inclusion criteria; five were randomized controlled trials, six were posttest control studies, and 12 were one-group pretest-posttest designs. Most studies (58%) collected data using a time and motion methodology in comparison to work sampling (33%) and self-report/survey methods (8%). A weighted average approach was used to combine results from the studies. The use of bedside terminals and central station desktops saved nurses, respectively, 24.5% and 23.5% of their overall time spent documenting during a shift. Using bedside or point-of-care systems increased documentation time of physicians by 17.5%. In comparison, the use of central station desktops for computerized provider order entry (CPOE) was found to be inefficient, increasing the work time from 98.1% to 328.6% of physician's time per working shift (weighted average of CPOE-oriented studies, 238.4%). Studies that conducted their evaluation process relatively soon after implementation of the EHR tended to demonstrate a reduction in documentation time in comparison to the increases observed with those that had a longer time period between implementation and the evaluation process. This review highlighted that a goal of decreased documentation time in an EHR project is not likely to be realized. It also identified how the selection of bedside or central station desktop EHRs may influence documentation time for the two main user groups, physicians and nurses.

Indexed as

Medical Records Systems, ComputerizedTime ManagementDocumentationMedical RecordsNursesNursing RecordsPhysiciansPoint-of-Care SystemsTime and Motion Studies

Identifiers

PMID15905487
PMCPMC1205599

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.