Adapting an Environmental Scan for 'Insights Reporting': Learnings from an Online Brain Cancer Peer Support Platform.

Insights Report Validitron codesign digital health environmental scan equity knowledge synthesis qualitative methodology

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 Jan 2024
Historique:
medline: 25 1 2024
pubmed: 25 1 2024
entrez: 25 1 2024
Statut: ppublish

Résumé

When developing a digital health solution, product owners, healthcare professionals, researchers, IT teams, and consumers require timely, accurate contextual information to inform solution development. Insights Reporting can rapidly draw together information from literature, end users and existing technology to inform the development process. This was the case when creating an online brain cancer peer support platform where solution development was conducted in parallel with contextual information synthesis. This paper discusses the novel adaptation of an environmental scan methodology using codesign and multiple layers of qualitative rigor, to create Insights Reporting. This seven-step process can be completed in two months and results in salient points of knowledge that can rapidly inform the design of a solution, creating a shared understanding of a digital health phenomenon. Project members noted that Insights Reporting surfaces previously inaccessible knowledge, catalyzes decision-making and allows all stakeholders to influence the report agenda, affirming principles of digital health equity.

Identifiants

pubmed: 38269812
pii: SHTI230974
doi: 10.3233/SHTI230974
doi:

Types de publication

Journal Article

Langues

eng

Pagination

294-298

Auteurs

Kara Burns (K)

Centre for Digital Transformation of Health, University of Melbourne.

Kit Huckvale (K)

Centre for Digital Transformation of Health, University of Melbourne.

Ann Borda (A)

Centre for Digital Transformation of Health, University of Melbourne.

Cecily Gilbert (C)

Centre for Digital Transformation of Health, University of Melbourne.

Hasan Ferdous (H)

Centre for Digital Transformation of Health, University of Melbourne.

Mahima Kalla (M)

Centre for Digital Transformation of Health, University of Melbourne.

Wendy Chapman (W)

Centre for Digital Transformation of Health, University of Melbourne.

Daniel Capurro (D)

Centre for Digital Transformation of Health, University of Melbourne.
School of Computing and Information Systems, University of Melbourne.

Classifications MeSH