An integrated model of patient and staff satisfaction using queuing theory
- Submitting institution
-
Brunel University London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 048-108698-5219
- Type
- D - Journal article
- DOI
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10.1109/JTEHM.2015.2400436
- Title of journal
- Ieee Journal Of Translational Engineering In Health And Medicine
- Article number
- 2200110
- First page
- -
- Volume
- 3
- Issue
- 2015
- ISSN
- 2168-2372
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7035023
- 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
-
3
- Research group(s)
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5 - Manufacturing & Design
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- For the first time operations and resource management constraints regarding maximising the combined patient and clinical staff satisfaction are linked. Government guideline metrics of maximum waiting times against ideal treatment and diagnosis time were used. Ideal treatment time of 12 minutes emerged from a survey of statistically significant number of doctors and clinicians. The combined patient waiting time and the ideal processing time developed a non-linear Satisfaction Objective Function an ideal practicable resource level emerges for the optimum point. Led to additional app development/ trials in Hillingdon Hospital.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -