Clinical decision support system Webiomed.DHRA
Comprehensive assessment of de-identified medical data to identify risk factors, forecast the development of diseases and identify suspicions of missed diagnoses
Prediction of suspected diseases based on data analysis, recommendations for doctors and patients
The Webiomed.DHRA service does the following:
- Analysis of de-identified electronic health records
- Projections of disease development
- Identification of high-risk patients
- Recommendations for both physicians and patients
Automatically identify suspected cases
You do not need to enter data manually or insist on physicians doing unnecessary work. The analysis is performed automatically.
Use cases:
- Automatic estimation of the entire population in the database
- Automatic patient assessment at the moment of hospital admission or discharge
- EHR assessment on a physician request
We reduce operational errors and treatment costs
The cost of treatment of advanced diseases is 8 times higher than the cost of prevention.
The system implementation provides the following possibilities:
- Increased accuracy in identifying high-risk patients
- Our models have an accuracy of 80%, which is 30% better than risk assessment scores
- We are 2 to 7 times better at identifying risk factors