This startup uses artificial intelligence to predict the likelihood of individuals developing chronic diseases. By analyzing patient data, the platform aims to provide early warnings and enable proactive intervention strategies.
Funding
Funding not disclosed
Founders
Product
Problem
Heart failure is a prevalent chronic condition often diagnosed late, leading to significant impacts on patients' quality of life and increased healthcare costs. Diagnosing heart failure in primary care settings is challenging due to its varied symptoms and association with other medical conditions, resulting in delayed diagnoses and hospitalizations.
Solution
Sarvas Health offers an AI-powered solution, SarvasHF, designed for use in general practitioner (GP) practices to predict a patient's risk of developing heart failure. By analyzing data from electronic health records, SarvasHF identifies high-risk patients, enabling earlier access to specialist care. This proactive approach aims to improve patient outcomes, reduce hospitalizations, and alleviate the financial burden of heart failure on healthcare systems.
Target Audience
The primary target audience is general practitioners (GPs) and primary care providers seeking to improve early diagnosis and management of heart failure in their patient populations.
Features
- AI model trained to predict the risk of heart failure using electronic health record data.
- Identifies patients at high risk of developing heart failure for proactive intervention.
- Aims to enable earlier access to specialist care for high-risk patients.