The first part of the solution was the implementation of device service that took on the crucial task of seamless data transmission from various wearable devices to the system.

It securely handled encrypted data streams, ensuring device authentication, error detection, and appropriate handling, thereby maintaining the integrity and confidentiality of the health data.

The second part was Data Processing and Analysis Service. This service was responsible for the real-time processing and in-depth analysis of incoming health metrics. It examined the collected data, applied machine learning algorithms to identify patterns, and flagged any potential health risks based on the predefined parameters.

Data security was a paramount concern, given the sensitivity of health information. We implemented robust encryption measures to secure data during transit and at rest. Access controls were enforced to ensure data integrity and confidentiality. Our system was designed to adhere to the stringent standards of health data regulations like HIPAA.

The third part of the solution was the Notification Service. Once potential health risks were identified, the notification service was triggered. It rapidly sent alerts to the concerned parties, informing both the users and their respective healthcare professionals. This prompt communication allowed for timely intervention, preventing the exacerbation of potential health issues.

The last part of the solution was Dashboard service. This service was devoted to delivering the dashboard functionality to doctors and healthcare professionals.

The last part of the solution was Dashboard service. This service was devoted to delivering the dashboard functionality to doctors and healthcare professionals.

The last part of the solution was Dashboard service. This service was devoted to delivering the dashboard functionality to doctors and healthcare professionals.