Clinical algorithms
Because sickle cell disease is
A disease with a high variability of symptoms
Associated with premature and sudden death
Why develop a predictive algorithm ?
The development of predictive tools will provide a new paradigm of medical care by moving from a reactive to a personnalised preventive medicine in order to avoid severe manifestations.
Why predict painful crises ?
Because they have a major impact on patient quality of life. Because they have a major impact on healthcare systems.
Because there are existing treatments to avoid painful crises.
VocPredict
THE UNIQUE PREDICTIVE SOLUTION FOR PAINFUL CRISES
Developed with machine learning and combining INNOVHEM’s biomarkers with standard of care biomakers.
Using biomarkers from a blood sampling during the routine clinical follow-up, the clinical algorithm will provide a score to stratify patients according to their risk of experiencing a painful crisis in the subsequent year. Then, it will guide the physicians to propose a personalised preventive medicine in order to avoid painful crises.
Integration into clinical routine
Medical follow-up
Prescription
Blood sampling and clinical exams
Standard-of-care and INNOVHEM’s biomakers
Algorithm analysis
Clinical score
VocPredict
Patient stratification
LOW RISK
HIGH RISK
Physicians actions
MAINTAIN
Current medical continuation
THERAPEUTIC REINFORCEMENT
Dose escalation
Use of expensive treatments
Combination of treatments
Patient stratification
LOW RISK
Physicians actions
MAINTAIN
Current medical continuation
Patient stratification
HIGH RISK
Physicians actions
THERAPEUTIC REINFORCEMENT
Dose escalation
Use of expensive treatments
Combination of treatments
Key advantages
Want to know more about our clinical algorithm?
IMPROVE HEALTH OF PATIENTS
IMPROVE THE EFFICIENCY OF HEALTH CARE SYSTEMS
IMPROVE COST EFFECTIVENESS AND CLINICAL UTILITY