Data Journeys: Identifying Social and Technical Barriers to Data Movement in Large, Complex Organisations
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 64561167
- Type
- D - Journal article
- DOI
-
10.1016/j.jbi.2017.12.001
- Title of journal
- Journal of Biomedical Informatics
- Article number
- -
- First page
- 102
- Volume
- 78
- Issue
- 0
- ISSN
- 1532-0464
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
A - Computer Science
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Methodology applied at 6 North-West NHS hospitals.
In kidney transplant pathways (Manchester University NHS Foundation Trust) we made 3 recommendations to reduce transplant request processing time (now being considered by the Committee for MSFT Digital Transformation).
In chemotherapy pathways (Christie NHS Foundation Trust) we analysed the efficiency of electronic screening systems (contact: Deputy Chief Information Officer, Christie NHS Foundation Trust).
Applied independently to inform Indonesian Government ""One Data"" Policy (""Understanding Barriers in the Implementation of the One Data Policy in Indonesia: Insights from Health Data Journey Modelling"", ITU Journal: ICT Discoveries, Nov 2018)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
