Development and feasibility study of physical therapy ICU protocol by using machine learning in critically ill patients

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20260616013

Enrollment

Registered

2026-06-16

Start date

2024-06-18

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

A feasibility study is carried out in all physical therapists who work in critical care units in Thailand. Physical Therapy Intensive Care Unit Machine Learning Clinical Decision Support Systems Early Ambulation Feasibility Studies Patient Safety

Interventions

Physical therapists with experience in treating adult critical care patients.

Supportive Care

Physical therapists.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Physical therapists with experience in treating adult critical care patients for at least continuing 5 years until the research data collecting date. 2. Physical therapist in adult medical and surgical intensive care units.

Exclusion criteria

Exclusion criteria: Physical therapists who work only in pediatric intensive care units.

Design outcomes

Primary

Measure	Time frame
Guideline or Protocol evaluation After using the program a 5-point Likert scale,User satisfaction and feasibility After using the program a 5-point Likert scale	—

Secondary

Measure	Time frame
User manual form After using the program a 5-point Likert scale	—

Countries

Thailand

Contacts

Public ContactNatthawut Chuensawad

Central Chest Institute of Thailand, Nonthaburi, Thailand

natthawut.chu@allied.tu.ac.th025470999

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 10, 2026