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
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
354-375Subventions
Organisme : Department of Health
Pays : United Kingdom