Evidence map›Paper›PMID 34315447›Full record

ArticleBMC medical informatics and decision making2021

Implementation of an Electronic Medication Management System in a large tertiary hospital: a case of qualitative inquiry.

Milan Rasikbhai Vaghasiya, Jonathan Penm, Kevin K Y Kuan, Naren Gunja, Yiren Liu, Eui Dong Kim, Neysa Petrina, Simon Poon

Abstract readCase Reports
In one paragraph

Article in BMC medical informatics and decision making, 2021. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Closed-Loop Medication Management with an Electronic Health Record System in U.S. and Finnish Hospitals.International journal of environmental research and public health · 2023
    Review
  7. Article
  8. Article
  9. 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

8 authors.

Milan Rasikbhai VaghasiyaSchool of Computer Science , The University of Sydney, Camperdown, NSW, 2006, Australia. milan.aus@gmail.com.ORCID 0000-0003-0128-4757
Jonathan PenmFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Camperdown, NSW, 2006, Australia.
Kevin K Y KuanSchool of Computer Science , The University of Sydney, Camperdown, NSW, 2006, Australia.
Naren GunjaWestern Sydney Local Health District, Westmead, NSW, 2145, Australia.
Yiren LiuSchool of Computer Science , The University of Sydney, Camperdown, NSW, 2006, Australia.
Eui Dong KimSchool of Computer Science , The University of Sydney, Camperdown, NSW, 2006, Australia.
Neysa PetrinaSchool of Computer Science , The University of Sydney, Camperdown, NSW, 2006, Australia.
Simon PoonSchool of Computer Science , The University of Sydney, Camperdown, NSW, 2006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitals across Australia are implementing Clinical Information Systems, e.g. Electronic Medication Management Systems (EMMS) at a rapid pace to moderate health services. The benefits of the EMMS depend on the acceptance of the system by the clinicians. The study hospital used a unique patient-centric implementation strategy that was based on the guiding principle of "one patient, one chart" to avoid a patient being on a hybrid medication chart. This paper aims to study the factors facilitating or hindering the adoption of the EMMS as viewed by clinicians and the implementation team.

methodsFour focus groups (FG), one each for (1) doctors, (2) nurses, (3) pharmacists, and (4) implementation team, were conducted. A guide for the FG was based on the Unified Theory of Acceptance and Use of Technology (UTAUT).

resultsA total of 23 unique subthemes were identified and were grouped into five main themes (1) implementation strategy, (2) organisational outcome of EMMS, (3) individual impact of EMMS, (4) IT product, and (5) organisational culture. Clinicians reported improvement in their workflow efficiency post-EMMS implementation. They also reported some challenges in using the EMMS that centered around the area of infrastructure, technical and design issues. Additionally, the implementation team highlighted two crucial factors influencing the success of EMMS implementation, namely: (1) the patient-centric implementation strategy, and (2) the organisation readiness.

conclusionOverall, this study outlines the implementation process of the EMMS in a large healthcare facility from the clinicians' and the implementation team's perspectives using UTAUT model. The result suggests that clinicians' acceptance of the EMMS was highly influenced by the unique implementation strategy (namely, patient-centric approach and clinical leadership in the implementation team). Whereas the level of adoption of EMMS by clinicians was determined by their level of perceived and realised benefits. On the other hand, a number of barriers to the adoption of EMMS were discovered, namely, general training instead of customised training based on local needs, technical and design issues and lack of availability of computer systems. It is suggested that promptly resolving these issues can improve the adoption of the EMMS.

Indexed as

ElectronicsMedication Therapy ManagementAustraliaHumansQualitative ResearchTertiary Care CentersElectronic health recordsElectronic prescribingImplementation scienceMedical informaticsTechnology assessment

Identifiers

PMID34315447
PMCPMC8314474

What OpenQuestion holds

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LicenceCC BY
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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.