Cardiac intensive care: Machine learning to improve patient flow

Completed

• Conditions: Patient flow; Circulatory System

• Registration Number: ISRCTN10085738
• Lead Sponsor: niversity of Bristol

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2017-12-08
• Last Update Posted: 5 February 2018
• Study Completion: 2020-09-01

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: 35000

Inclusion Criteria

Patients of the CIC

Exclusion Criteria

There are no participant exclusion criteria

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Bed occupancy in the Cardiac ICU (CICU). This is to be kept close to full, with room for emergencies, and with beds neither empty nor double-booked due to bad estimations of patient recovery times.

Secondary Outcome Measures

Name	Time	Method
Prediction of potential complications in patients with preventative measures recommended to hospital staff.