- Publication: A short generic patient experience measure: howRwe development and validation.
- UCL CHIME Reappointed to Train Future NHS Informatics Managers
- UCL hosts HL7 UK Summer School
- New Qualification: Health & Medical Sciences (Quality, Information & Safety)
- Publication: Primary total knee replacement as an example of predicting length of stay from electronic patient record system data
- January Intake Approved for Graduate Programme in Health & Medical Sciences (HMS)
- BMJ Editorial: Caldicott 2 and Patient Data
- "Patient Safety, Law Policy and Practice" Published in Paperback
- UCL Joins the European Connected Health Alliance
- UCL CHIME is Early Contributor to New Health Informatics Online Resource
- Professor Dipak Kalra takes up Presidency of the EuroRec Institute
- 2012 European Summit on Trustworthy Reuse of Health Data – plenary sessions now available on YouTube
- "Patient Safety, Law Policy and Practice"
- Ethnicity and academic performance in medicine
- Uptake of flu vaccine among healthcare workers
- Open Source, Open Standards, and Health Care Information Systems
- howRU, a new short generic measure of health status
- Dr Don E. Detmer honoured by American Medical Informatics Association (AMIA)
- Public 'reassured' by swine flu media coverage
- Key NHS IT Programmes – UCL report
- UKHIT online - Computers and the Internet
- Group membership and staff turnover affect outcomes in group CBT for persistent pain
- Electronic patient records are not a panacea
- Using computerised CBT to prevent mental health problems: a systematic review and a case study of Xanthis
- New Students Begin UCL Postgraduate Programme in Health Informatics
- CHIME researcher contributes to new book
- UCL Announces New Fast-Track Postgraduate Diploma and MSc in Health Informatics
Publication: Primary total knee replacement as an example of predicting length of stay from electronic patient record system data
23 April 2014
A paper, published on April 4th in BMC Medical Informatics & Decision Making, shows how hospital length of stay can be modelled using data available in an electronic patient record system, using primary total knee replacements as an example (Carter EM, Potts HWW (2014). “Predicting length of stay from an electronic patient record system: A primary total knee replacement example.” BMC Medical Informatics & Decision Making, 14, 26. doi:10.1186/1472-6947-14-26).
The paper by Evelene Carter (Oxfordshire University Hospitals NHS Trust) was based on the dissertation that she completed as part of her MSc in Health Informatics at UCL CHIME. The paper is co-authored by her dissertation supervisor, Dr Henry Potts (UCL). CHIME encourages all of its MSc students to undertake real-world projects and, whenever possible, to turn them into publications.
Length of stay data is generally highly skewed and previous work in this field has often struggled to deal with this. The paper by Carter & Potts shows how a negative binomial regression fits such data well and can be readily applied. It also shows how the type of data generally available in hospital electronic patient systems is predictive of length of stay, allowing useful modelling to be done and insights to be gained.