Using visualisation methods to analyse referral networks within community health care among patients aged 65 years and over.

community health care data visualisation electronic patient records network analysis patient referrals

Journal

Health informatics journal
ISSN: 1741-2811
Titre abrégé: Health Informatics J
Pays: England
ID NLM: 100883604

Informations de publication

Date de publication:
03 2020
Historique:
pubmed: 10 2 2019
medline: 27 7 2021
entrez: 10 2 2019
Statut: ppublish

Résumé

Community health care services are considered integral to overcoming future problems in health care. However, this sector faces its own challenges, such as how to organise services to provide coordinated care given: their physical distribution, patients using multiple services, increased patient use and differing patient needs. The aim of this work was to explore, analyse and understand patterns in community referrals for patients aged 65 years and over, and their use of multiple services through data visualisation. Working with a large community provider, these methods helped researchers and service managers to investigate questions that were otherwise difficult to answer from raw data. Each map focuses on a different characteristic of community referrals: patients reusing services, concurrent uses of different services and patterns of subsequent referrals. We apply these methods to routine patient data and discuss their implications in designing of a single point of access - a service for streamlining referrals.

Identifiants

pubmed: 30736710
doi: 10.1177/1460458218824717
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

354-375

Subventions

Organisme : Department of Health
Pays : United Kingdom

Auteurs

Naomi J Fulop (NJ)

University College London, UK.

Stephen O'Connor (S)

North East London NHS Foundation Trust, UK.

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Classifications MeSH