Wearable Device Early Warning Score Calculation
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Solution Overview
Problem
Current technologies lack user-friendly, continuous, non-intrusive methods for monitoring medical parameters of patients with chronic diseases outside clinical settings, leading to delayed detection of worsening conditions and increased hospitalization rates.
Innovation Solution
A wearable device equipped with sensors that continuously collect and analyze medical parameters such as respiratory rate, oxygen saturation, temperature, and pulse rate, calculating an Early Warning Score (EWS) to alert patients and healthcare providers of potential health issues, allowing for timely interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hospital-based monitoring is used, then measurement accuracy is ensured, but patient mobility and quality of life deteriorate due to continuous clinical confinement
Solution Approach 1:
The system enables patients to perform self-monitoring at home using automated sensors and algorithms that continuously track medical parameters without requiring patient expertise or clinical intervention, resolving the contradiction between measurement accuracy and patient mobility
Solution Approach 2:
Manual clinical monitoring procedures are replaced with automated electronic sensors and processing systems, allowing accurate medical parameter measurement to occur in the comfort of the patient's home rather than requiring hospital confinement
2Reliability
If periodic hospital visits are implemented, then patient monitoring is maintained, but early detection of worsening conditions deteriorates due to measurement gaps between visits
Solution Approach 1:
The system provides continuous monitoring between hospital visits through automated sensors and algorithms that track medical parameters in real-time, eliminating measurement gaps and enabling immediate detection of health deterioration while maintaining monitoring consistency
Solution Approach 2:
The system continuously feeds back medical parameter data to healthcare providers and patients, enabling real-time awareness of health status changes and prompt intervention when deterioration is detected, rather than waiting for scheduled visits
3Difficulty of detecting and measuring
If specialized medical devices are used, then measurement capability is improved, but device complexity and ease of home use deteriorate
Solution Approach 1:
The system uses multi-functional wearable devices that can measure multiple medical parameters (heart rate, respiratory rate, oxygen saturation, temperature) simultaneously, providing comprehensive medical monitoring capability in a single portable device that is easy for patients to wear and use at home
Data Source
AI summary
A method and systems for determining an early warning score for a health status of a patient are provided. An example method includes acquiring, during a predetermined time period via sensors integrated into a wearable device worn on a wrist of the patient, initial values of medical parameters of patient. The medical parameters include a respiratory rate, oxygen saturation, temperature, blood pressure, and pulse rate, and level of consciousness. The method includes determining, based on the initial values, normal values of the medical parameters. The method includes acquiring, via the sensors and at a pre-determined frequency, further values of the medical parameters. The method includes determining, based on deviations of the further values from the normal values, individual scores for the medical parameters. The method includes calculating, based on the individual scores, a general score. The method includes determining, based on the general score, the health status of the patient.