Evidence map›Paper›PMID 37821881›Full record

ArticleBMC medical informatics and decision making2023

Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands.

Catherine Heeney, Matt Bouamrane, Stephen Malden, Kathrin Cresswell, Robin Williams, Aziz Sheikh

Abstract readMulticenter Study
In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Catherine HeeneyCentre for Medical Informatics, The Usher Institute, The University of Edinburgh Old Medical School Teviot Place Edinburgh, Scotland, EH8 9AG, UK.
Matt BouamraneCentre for Medical Informatics, The Usher Institute, The University of Edinburgh Old Medical School Teviot Place Edinburgh, Scotland, EH8 9AG, UK. matt.bouamrane@ed.ac.uk.
Stephen MaldenUsher Institute | Advanced Care Research Centre (ACRC), Usher Institute | Advanced Care Research Centre (ACRC), University of Edinburgh, Edinburgh BioQuarter 9 Little France Road, Biocubes, Edinburgh, Scotland, EH16 4UX, UK.
Kathrin CresswellCentre for Medical Informatics, The Usher Institute, The University of Edinburgh Old Medical School Teviot Place Edinburgh, Scotland, EH8 9AG, UK.
Robin WilliamsInstitute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, Scotland, UK.
Aziz SheikhCentre for Medical Informatics, The Usher Institute, The University of Edinburgh Old Medical School Teviot Place Edinburgh, Scotland, EH8 9AG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvestment in the implementation of hospital ePrescribing systems has been a priority in many economically-developed countries in order to modernise the delivery of healthcare. However, maximum gains in the safety, quality and efficiency of care are unlikely to be fully realised unless ePrescribing systems are further optimised in a local context. Typical barriers to optimal use are often encountered in relation to a lack of systemic capacity and preparedness to meet various levels of interoperability requirements, including at the data, systems and services levels. This lack of systemic interoperability may in turn limit the opportunities and benefits potentially arising from implementing novel digital heath systems.

methodsWe undertook n = 54 qualitative interviews with key stakeholders at nine digitally advanced hospital sites across the UK, US, Norway and the Netherlands. We included hospitals featuring 'standalone, best of breed' systems, which were interfaced locally, and multi-component and integrated electronic health record enterprise systems. We analysed the data inductively, looking at strategies and constraints for ePrescribing interoperability within and beyond hospital systems.

resultsOur thematic analysis identified 4 main drivers for increasing ePrescribing systems interoperability: (1) improving patient safety (2) improving integration & continuity of care (3) optimising care pathways and providing tailored decision support to meet local and contextualised care priorities and (4) to enable full patient care services interoperability in a variety of settings and contexts. These 4 interoperability dimensions were not always pursued equally at each implementation site, and these were often dependent on the specific national, policy, organisational or technical contexts of the ePrescribing implementations. Safety and efficiency objectives drove optimisation targeted at infrastructure and governance at all levels. Constraints to interoperability came from factors such as legacy systems, but barriers to interoperability of processes came from system capability, hospital policy and staff culture.

conclusionsAchieving interoperability is key in making ePrescribing systems both safe and useable. Data resources exist at macro, meso and micro levels, as do the governance interventions necessary to achieve system interoperability. Strategic objectives, most notably improved safety, often motivated hospitals to push for evolution across the entire data architecture of which they formed a part. However, hospitals negotiated this terrain with varying degrees of centralised coordination. Hospitals were heavily reliant on staff buy-in to ensure that systems interoperability was built upon to achieve effective data sharing and use. Positive outcomes were founded on a culture of agreement about the usefulness of access by stakeholders, including prescribers, policymakers, vendors and lab technicians, which was reflected in an alignment of governance goals with system design.

Indexed as

Electronic PrescribingHospitalsHumansNetherlandsNorwayQualitative ResearchUnited KingdomUnited StatesData resourcesElectronic health systemsePrescribingInfrastructureIntegrated systemInteroperability

Identifiers

PMID37821881
PMCPMC10568858

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.