Evidence map›Paper›PMID 31533171›Full record

ArticleApplied clinical informatics2019

Design and Evaluation of an Integrated, Patient-Focused Electronic Health Record Display for Emergency Medicine.

Xiaomei Wang, Tracy C Kim, Sudeep Hegde, Daniel J Hoffman, Natalie C Benda, Ella S Franklin, David Lavergne, Shawna J Perry, Rollin J Fairbanks, A Zachary Hettinger and 2 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Human-centered design of team health IT for pediatric trauma care transitions.International journal of medical informatics · 2022
    Article
  7. Article
  8. Deep Learning-Based Medical Information System in First Aid of Surgical Trauma.Computational and mathematical methods in medicine · 2022
    Article
  9. Guidance for publishing qualitative research in informatics.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  10. Article
  11. Human Factors and Organizational Issues.Yearbook of medical informatics · 2020
    Review
  12. 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.

Xiaomei WangDepartment of Industrial and Systems Engineering, University at Buffalo, State University of New York, Buffalo, New York, United States.
Tracy C KimNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington, District of Columbia, United States.
Sudeep HegdeDepartment of Industrial and Systems Engineering, University at Buffalo, State University of New York, Buffalo, New York, United States.
Daniel J HoffmanNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington, District of Columbia, United States.
Natalie C BendaNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington, District of Columbia, United States.
Ella S FranklinNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington, District of Columbia, United States.
David LavergneSmart Information Flow Technologies, Minneapolis, Minnesota, United States.
Shawna J PerryDepartment of Emergency Medicine, University of Florida, Jacksonville, Florida, United States.
Rollin J FairbanksNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington, District of Columbia, United States.
A Zachary HettingerNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington, District of Columbia, United States.
Emilie M RothRoth Cognitive Engineering, Stanford, California, United States.
Ann M BisantzDepartment of Industrial and Systems Engineering, University at Buffalo, State University of New York, Buffalo, New York, United States.

Funding

Cognitive Engineering for Complex Decision Making & Problem Solving in Acute CareR01HS022542 · AHRQ · MEDSTAR HEALTH RESEARCH INSTITUTE · PI HETTINGER, AARON ZACHARY · 2014 to 2018
$2.5M
6 · The paper itself

Abstract

backgroundHospital emergency departments (EDs) are dynamic environments, involving coordination and shared decision making by staff who care for multiple patients simultaneously. While computerized information systems have been widely adopted in such clinical environments, serious issues have been raised related to their usability and effectiveness. In particular, there is a need to support clinicians to communicate and maintain awareness of a patient's health status, and progress through the ED plan of care.

objectiveThis study used work-centered usability methods to evaluate an integrated patient-focused status display designed to support ED clinicians' communication and situation awareness regarding a patient's health status and progress through their ED plan of care. The display design was informed by previous studies we conducted examining the information and cognitive support requirements of ED providers and nurses.

methodsED nurse and provider participants were presented various scenarios requiring patient-prioritization and care-planning tasks to be performed using the prototype display. Participants rated the display in terms of its cognitive support, usability, and usefulness. Participants' performance on the various tasks, and their feedback on the display design and utility, was analyzed.

resultsParticipants provided ratings for usability and usefulness for the display sections using a work-centered usability questionnaire-mean scores for nurses and providers were 7.56 and 6.6 (1 being lowest and 9 being highest), respectively. General usability scores, based on the System Usability Scale tool, were rated as acceptable or marginally acceptable. Similarly, participants also rated the display highly in terms of support for specific cognitive objectives.

conclusionA novel patient-focused status display for emergency medicine was evaluated via a simulation-based study in terms of work-centered usability and usefulness. Participants' subjective ratings of usability, usefulness, and support for cognitive objectives were encouraging. These findings, including participants' qualitative feedback, provided insights for improving the design of the display.

Indexed as

Electronic Health RecordsEmergency MedicineHumansOutcome Assessment, Health CareQuality ControlTime FactorsUser-Computer Interface

Identifiers

PMID31533171
PMCPMC6751068

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.