StrokeNCT06704997
Machine Learning to Predict Factors Affecting Rehabilitation Length of Stay and Healthcare Costs for Neurological Rehabilitation
An observational study of Stroke and Acquired Brain Injury, run by Tan Tock Seng Hospital at 1 site in Singapore.
Trial 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. Read more about this study
- Who is it for?
- Ages 21 to 100 years
- Conditions the study is for
- Stroke, Acquired Brain Injury, Traumatic Brain Injury
- How many people
- 10,000 participants
- Where
- 1 siteSingapore
- Study dates
- 1 Jun 2024to 31 Dec 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 21 to 100 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients who have admitted to the rehabilitation ward during their inpatient episode for neurological rehabilitation.
Who may be able to join
- All patients who completed inpatient rehabilitation with the index conditions in their discharge summaries
Who cannot join
- Did not complete inpatient rehabilitation as they are discharged against medical advice
Trial locations and contacts
1 site in 1 country.
About this study
Official title: 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
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.
Read the 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.
- Conditions
- Stroke, Acquired Brain Injury, Traumatic Brain Injury, Brain Tumor, Central Nervous System Infections, Polytrauma
- Keywords
- Rehabilitation, Length of Stay, Stroke, Traumatic Brain Injury, Brain tumour, Cancer, Trauma, Acquired Brain Injury, Healthcare, Hospitalisation costs
- Medical subject headings
- Stroke, Brain Injuries, Brain Injuries, Traumatic, Brain Neoplasms, Central Nervous System Infections, Multiple Trauma, Neoplasms, Wounds and Injuries
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Patients with tertiary neurological rehabilitation | Patients with confirmed diagnosis of stroke, acquired brain injuries, traumatic brain injuries, brain tumours, central nervous system infections and polytrauma from acute neurological or neurosurgical units in Singapore. The cohort will be selected from the TTSH Rehabilitation Centre (TTSH RC) admissions from year 2016 to the present. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Rehabilitation length of stay
Duration of which patient is admitted to and discharge from the rehabilitation ward.
Measured: 1998-2022
Hospital bill
Bill size of patient's stay in the rehabilitation ward, including subsidies, insurance and copayment.
Measured: 2012-2022
Housing type
Type of housing to look at the socio-economics status of the patients.
Measured: 2014-2023
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Nov 2024
- Study start1 Jun 2024
- Primary completion31 Dec 2026 (estimated)
- Study completion31 Dec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for StrokeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tan Tock Seng Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Chua Sui Geok, Karen, Tan Tock Seng Hospital
- Investigators
- Dr Karen Chua, MBBS, Principal investigator, Tan Tock Seng Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06704997
- Sponsor's protocol ID
- DSRB 2023/00873
- Status last verified
- Oct 2026
- First submitted
- 22 Nov 2024
- Last updated
- 7 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: PI need to verify the quality of the data as extraction will involve accessing Ministry of Health government website to obtain deidentified data set
Study at a glance
From the registry record, last updated by the sponsor on 7 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT06704997
- Acronym / sponsor ID
- DSRB 2023/00873
- Conditions
- Stroke, Acquired Brain Injury, Traumatic Brain Injury, Brain Tumor, Central Nervous System Infections, Polytrauma
- Keywords
- Rehabilitation, Length of Stay, Stroke, Traumatic Brain Injury, Brain tumour, Cancer, Trauma, Acquired Brain Injury
- Study type
- Observational
- Recruitment status
- Active, not recruiting
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Tan Tock Seng HospitalUniversity, hospital or other
- Study start
- 1 Jun 2024 (actual)
- Primary completion
- 31 Dec 2026 (estimated)
- Study completion
- 31 Dec 2027 (estimated)
- First posted
- 26 Nov 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Patients with tertiary neurological rehabilitation | – | –Patients with confirmed diagnosis of stroke, acquired brain injuries, traumatic brain injuries, brain tumours, central nervous system infections and polytrauma from acute neurological or neurosurgical units in Singapore. The cohort will be selected from the TTSH Rehabilitation Centre (TTSH RC) admissions from year 2016 to the present. |
Who may qualify
- Ages
- 21 to 100 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients who have admitted to the rehabilitation ward during their inpatient episode for neurological rehabilitation.
Key inclusion criteria (1 listed)
- All patients who completed inpatient rehabilitation with the index conditions in their discharge summaries
Key exclusion criteria (1 listed)
- Did not complete inpatient rehabilitation as they are discharged against medical advice
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
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.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Oct 2026.
- Individual participant dataSharing planned: Undecided. PI need to verify the quality of the data as extraction will involve accessing Ministry of Health government website to obtain deidentified data set
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Dr Karen Chua, MBBS principal investigator
Tan Tock Seng Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Stroke and Acquired Brain Injury, run by Tan Tock Seng Hospital at 1 site in Singapore.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 7 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Rehabilitation length of stay (time frame: 1998-2022). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Oct 2026.