Machine Learning Predictive Analysis of Key Factors Influencing Rehabilitation Length of Stay (RLOS) and Direct Hospitalization Costs for Neurological Inpatient Rehabilitation at Tertiary Care Hospital
Trial Snapshot
- Phase
- Not Applicable
- Status
- Active, not recruiting
- Sponsor
- Enrollment
- 10,000
- Locations
- 1
- Primary Endpoint
- Rehabilitation length of stay
Study Overview
Brief Summary
The aim of this retrospective study is to ascertain total direct costs, rehabilitation length of stay (RLOS) and factors associated with RLOS for neurological inpatient rehabilitation at the tertiary care hospital.
Detailed Description
The aim of the study is to identify factors that influence RLOS and the correlated costs for neurological rehabilitation in tertiary rehab using data extracted from EPIC. It is also aimed to identify the median direct costs to find out the main contributors to the costs in the local population. Lastly, the study aims to utilise artificial intelligence or machine learning to analyse the compiled data to develop a predictive model. The model aspires to understand factors associated with extended RLOS and to predict RLOS of patients who require neurological rehabilitation, aiding preemptive measures.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 21 Years to 100 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •All patients who completed inpatient rehabilitation with the index conditions in their discharge summaries
Exclusion Criteria
- •Did not complete inpatient rehabilitation as they are discharged against medical advice
Outcomes
Primary Outcomes
Rehabilitation length of stay
Time Frame: 1998-2022
Duration of which patient is admitted to and discharge from the rehabilitation ward.
Hospital bill
Time Frame: 2012-2022
Bill size of patient's stay in the rehabilitation ward, including subsidies, insurance and copayment.
Housing type
Time Frame: 2014-2023
Type of housing to look at the socio-economics status of the patients.
Secondary Outcomes
No secondary outcomes reported
Investigators
Chua Sui Geok, Karen
Senior Consultant Dr ( MD)
Tan Tock Seng Hospital