Evidence map›Paper›PMID 34346904›Full record

ArticleJMIR formative research2021

Electronic Paper Displays in Hospital Operations: Proposal for Deployment and Implementation.

Guruprasad D Jambaulikar, Andrew Marshall, Mohammad Adrian Hasdianda, Chenzhe Cao, Paul Chen, Steven Miyawaki, Christopher W Baugh, Haipeng Zhang, Jonathan McCabe, Jennifer Su and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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.

Guruprasad D JambaulikarDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-8606-8027
Andrew MarshallDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-5040-114X
Mohammad Adrian HasdiandaDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-3100-9660
Chenzhe CaoBrigham Digital Innovation Hub, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-4564-4013
Paul ChenDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-6297-0649
Steven MiyawakiDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0001-9254-8660
Christopher W BaughDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2360-1891
Haipeng ZhangBrigham Digital Innovation Hub, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-0205-9319
Jonathan McCabeDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0001-5639-2857
Jennifer SuE Ink Corporation, Billerica, MA, United States.ORCID https://orcid.org/0000-0001-9838-2294
Adam B LandmanDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2166-0521
Peter Ray ChaiDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-0955-4117

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
A novel robotic wastewater analysis system to quantify opioid exposure and treatment in residential communitiesR44DA051106 · NIDA · BIOBOT ANALYTICS, INC. · PI CHAI, PETER R, MATUS GARCIA, MARIANA G · 2020 to 2022
$1.5M
Development of Ingestible Biosensors to Enhance PrEP Adherence in Substance UsersK23DA044874 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2018 to 2022
$1.0M
NIDA NIH HHS K23 DA044874NIDA NIH HHS R44 DA051106NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

backgroundDisplay signage is ubiquitous and essential in hospitals to serve several clerical, operational, and clinical functions, including displaying notices, providing directions, and presenting clinical information. These functions improve efficiency and patient engagement, reduce errors, and enhance the continuity of care. Over time, signage has evolved from analog approaches such as whiteboards and handwritten notices to digital displays such as liquid crystal displays, light emitting diodes, and, now, electronic ink displays. Electronic ink displays are paper-like displays that are not backlit and show content by aligning microencapsulated color beads in response to an applied electric current. Power is only required to generate content and not to retain it. These displays are very readable, with low eye strain; minimize the emission of blue light; require minimal power; and can be driven by several data sources, ranging from virtual servers to electronic health record systems. These attributes make adapting electronic ink displays to hospitals an ideal use case.

objectiveIn this paper, we aimed to outline the use of signage and displays in hospitals with a focus on electronic ink displays. We aimed to assess the advantages and limitations of using these displays in hospitals and outline the various public-facing and patient-facing applications of electronic ink displays. Finally, we aimed to discuss the technological considerations and an implementation framework that must be followed when adopting and deploying electronic ink displays.

methodsThe public-facing applications of electronic ink displays include signage and way-finders, timetables for shared workspaces, and noticeboards and bulletin boards. The clinical display applications may be smaller form factors such as door signs or bedside cards. The larger, ≥40-inch form factors may be used within patient rooms or at clinical command centers as a digital whiteboard to display general information, patient and clinician information, and care plans. In all these applications, such displays could replace analog whiteboards, noticeboards, and even other digital screens.

resultsWe are conducting pilot research projects to delineate best use cases and practices in adopting electronic ink displays in clinical settings. This will entail liaising with key stakeholders, gathering objective logistical and feasibility data, and, ultimately, quantifying and describing the effect on clinical care and patient satisfaction.

conclusionsThere are several use cases in a clinical setting that may lend themselves perfectly to electronic ink display use. The main considerations to be studied in this adoption are network connectivity, content management, privacy and security robustness, and detailed comparison with existing modalities. Electronic ink displays offer a superior opportunity to future-proof existing practices. There is a need for theoretical considerations and real-world testing to determine if the advantages outweigh the limitations of electronic ink displays.

Indexed as

communicationdeploymentdisplay systemsefficiencyelectronic inkengagementhospitalimplementationpatient satisfactionproposalusagewhiteboards

Identifiers

PMID34346904
PMCPMC8374667

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.