Evidence map›Paper›PMID 32940610›Full record

ArticleJMIR human factors2020

Embedding the Pillars of Quality in Health Information Technology Solutions Using "Integrated Patient Journey Mapping" (IPJM): Case Study.

Stephen McCarthy, Paidi O'Raghallaigh, Simon Woodworth, Yoke Yin Lim, Louise C Kenny, Frédéric Adam

Abstract read
In one paragraph

Article in JMIR human factors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  17. Pop Music Trend and Image Analysis Based on Big Data Technology.Computational intelligence and neuroscience · 2021
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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.

Stephen McCarthyDepartment of Business Information Systems, Cork University Business School, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0002-5761-7162
Paidi O'RaghallaighDepartment of Business Information Systems, Cork University Business School, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0003-2056-9854
Simon WoodworthDepartment of Business Information Systems, Cork University Business School, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0001-7406-8743
Yoke Yin LimCork University Maternity Hospital, Cork, Ireland.ORCID https://orcid.org/0000-0003-1686-8587
Louise C KennyDept. of Women's and Children's Health, Institute of Life Course & Medical Sciences, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-9011-759X
Frédéric AdamDepartment of Business Information Systems, Cork University Business School, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0001-5895-8981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth information technology (HIT) and associated data analytics offer significant opportunities for tackling some of the more complex challenges currently facing the health care sector. However, to deliver robust health care service improvements, it is essential that HIT solutions be designed by parallelly considering the 3 core pillars of health care quality: clinical effectiveness, patient safety, and patient experience. This requires multidisciplinary teams to design interventions that both adhere to medical protocols and achieve the tripartite goals of effectiveness, safety, and experience.

objectiveIn this paper, we present a design tool called Integrated Patient Journey Mapping (IPJM) that was developed to assist multidisciplinary teams in designing effective HIT solutions to address the 3 core pillars of health care quality. IPJM is intended to support the analysis of requirements as well as to promote empathy and the emergence of shared commitment and understanding among multidisciplinary teams.

methodsA 6-month, in-depth case study was conducted to derive findings on the use of IPJM during Learning to Evaluate Blood Pressure at Home (LEANBH), a connected health project that developed an HIT solution for the perinatal health context. Data were collected from over 700 hours of participant observations and 10 semistructured interviews.

resultsThe findings indicate that IPJM offered a constructive tool for multidisciplinary teams to work together in designing an HIT solution, through mapping the physical and emotional journey of patients for both the current service and the proposed connected health service. This allowed team members to consider the goals, tasks, constraints, and actors involved in the delivery of this journey and to capture requirements for the digital touchpoints of the connected health service.

conclusionsOverall, IPJM facilitates the design and implementation of complex HITs that require multidisciplinary participation.

Indexed as

data analyticshealth care qualityhealth information technologymobile phonemultidisciplinary research

Identifiers

PMID32940610
PMCPMC7530692

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.