A mobile application for a patient is designed to gather health data. Patients can enter the results of the tests they conduct at home into the device. There are four important variables we gather:
• blood pressure,
• body weight,
• pulse,
• walking distance.
Once data has been submitted, patients send it to the cloud-based system. Our dedicated algorithm assesses risk level and notifies medical personnel in case of significant variations.
Our system calculates the possibility of heart failure risk, for patients who have had a heart attack, a few days in advance. When the system changes a patient risk group, the medical personnel is informed about the change. After the notification, the cardiologist decides on how to interact with the patient. At this stage, the cardiologist is the most important player in the process. We suggest the risk group change but we do not inform patients automatically. This is the doctor’s role and we only support it by advanced early prediction.
All patients' records are available for cardiologists on a cloud platform. As a doctor, you can follow your patients' test results on a user-friendly timeline. Whenever new data is provided by a patient, the CardApp algorithm estimates the current condition of a patient and the risk level associated with the short- and long-term body changes that can lead to overhydration and serious heart failure. Medical professionals are informed in case of any sudden changes and life-threatening states. On the web-based platform, they can analyze details of patients’ state and all recent test results.
Correlation and trends analysis of gathered data predict the sudden life-threatening situations that might occur. That forces the patient to seek immediate assistance to avoid hospitalization that is combined with costly treatment at highly specialized cardiology departments.