Development of an Automatically Generated and Wearable-based Early Warning System
NCT05699967 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 210
Last updated 2023-10-05
Summary
The aim of this project is to create an automated EWS and analyze whether the use of wearable devices is suitable for vital sign measurements in a hospital by using the recording of vital parameters taken by nurses via the Clinical Information System (HIS) combining them with vital sign measurements coming from wearable devices.
Conditions
- Deterioration of Patient's State of Health
Interventions
- OTHER
-
data collection
Participants wear a wristband with a Photoplethysmography (PPG), heart rate and respiratory rate sensor continuously for 3 days. Once gateway and device are linked, all data will be transmitted continuously via Bluetooth to an in-house database. The Device Hub allows to control data availability and signal quality of the wearables, but no scores will be calculated and visualized. The data obtained for calculating the NEWS2 is solely observational and for the study staff. It has no clinical consequence on the treatment of the patient. It is analyzed whether the score with values form the wearables and Electronic Health Record (EHR) corresponds to the conventionally calculated NEWS2 score with values coming only from the EHR.
Sponsors & Collaborators
-
Innosuisse - Swiss Innovation Agency
collaborator OTHER -
University Hospital, Basel, Switzerland
lead OTHER
Principal Investigators
-
Jens Eckstein, Prof. Dr. med. · University Hospital Basel, Department of Internal Medicine
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-02-07
- Primary Completion
- 2023-09-14
- Completion
- 2023-09-14
Countries
- Switzerland
Study Locations
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