AI-powered clinical data processing
for proactive management
of cardiovascular patients
We help physicians make Evidence-Based Medicine decisions and control achievements of treatment targets to prevent each cardiovascular patient from adverse events (Myocardial Infarction, Heart attack, Stroke)
The eMed Support digital twin enables a patient-centric and value-based approach throughout every stage of the care continuum
✜ Screening, Identification of high-risk patients and diagnosis
✜ Early detection with AI-prediction of LDL-C level and GFR
✜ Personalized treatment recommendation according to clinical guidelines and CV risks prognosis based on prescribed therapy
✜ Therapy progress monitoring with treatment goals achievement tracking
✜ Disease management through hospitalization and adverse events prevention
✜ Early detection with AI-prediction of LDL-C level and GFR
✜ Personalized treatment recommendation according to clinical guidelines and CV risks prognosis based on prescribed therapy
✜ Therapy progress monitoring with treatment goals achievement tracking
✜ Disease management through hospitalization and adverse events prevention
Generative Artificial Intelligence
for chronic patients treatment with more than one CV condition
Q3 2024
for chronic patients treatment with more than one CV condition
Q3 2024
HOW IT WORKS:
✜ An invaluable tool for primary care practitioners that supports them in prescribing the most effective treatment with evidence-based principles and real-world data
✜ Preparation of interactive analytical dashboards for comprehansive overview and generation of individual reports for proactive management
AI-POWERED CLINICAL DATA PROCESSING FOR:
HEALTH AUTHORITIES
Quality of medical care improvement and costs reduction
Quality of medical care improvement and costs reduction
✜ Risk assessment for identification of patients not achieving treatment goals
✜ AI prediction of indicators missing in the EHR and selection of patients with prognostic deviations in LDL-C, EF and GFR
✜ Management of high-risk chronic CV patients through treatment strategy recommendation for optimal treatment achievement
✜ AI prediction of indicators missing in the EHR and selection of patients with prognostic deviations in LDL-C, EF and GFR
✜ Management of high-risk chronic CV patients through treatment strategy recommendation for optimal treatment achievement
Connect eMed Support
PUBLIC AND PRIVATE CLINICS
+30% additional consultations and tests for treatment target achievement
+30% additional consultations and tests for treatment target achievement
✜ Automatization of EHRs analysis for tracking of chronic patients' treatment goals achievement and optimal routing to GP or cardiologist
✜ Enhancement of heart health check-ups with digital cardiovascular assessment
✜ Reduction of GP's time for 120+ patient characteristics assessment to 1 min vs 40 min, enabling high-quality communication with patient
✜ Accurate medicine procurement planning taking into account evidence-based treatment approach and patient's comorbidities
✜ Enhancement of heart health check-ups with digital cardiovascular assessment
✜ Reduction of GP's time for 120+ patient characteristics assessment to 1 min vs 40 min, enabling high-quality communication with patient
✜ Accurate medicine procurement planning taking into account evidence-based treatment approach and patient's comorbidities
Test eMed Support
AI-POWERED CLINICAL DATA PROCESSING FOR:
HEALTH AUTHORITIES
Quality of medical care improvement and costs reduction
Quality of medical care improvement and costs reduction
✜ Risk assessment for identification of patients not achieving treatment goals
✜ AI prediction of indicators missing in the EHR and selection of patients with prognostic deviations in LDL-C, EF and GFR
✜ Management of high-risk chronic CV patients through treatment strategy recommendation for optimal treatment achievement
✜ AI prediction of indicators missing in the EHR and selection of patients with prognostic deviations in LDL-C, EF and GFR
✜ Management of high-risk chronic CV patients through treatment strategy recommendation for optimal treatment achievement
Connect eMed Support
PUBLIC AND PRIVATE CLINICS
+30% additional consultations and tests for treatment target achievement
+30% additional consultations and tests for treatment target achievement
✜ Automatization of EHRs analysis for tracking of chronic patients' treatment goals achievement and optimal routing to GP or cardiologist
✜ Enhancement of heart health check-ups with digital cardiovascular assessment
✜ Reduction of GP's time for 120+ patient characteristics assessment to 1 min vs 40 min, enabling high-quality communication with patient
✜ Accurate medicine procurement planning taking into account evidence-based treatment approach and patient's comorbidities
✜ Enhancement of heart health check-ups with digital cardiovascular assessment
✜ Reduction of GP's time for 120+ patient characteristics assessment to 1 min vs 40 min, enabling high-quality communication with patient
✜ Accurate medicine procurement planning taking into account evidence-based treatment approach and patient's comorbidities
Test eMed Support
Generative AI
New Large Clinical Model (LCM)
For creat a proactive digital twines to predict and move away
cardiovascular events
New Large Clinical Model (LCM)
For creat a proactive digital twines to predict and move away
cardiovascular events
EMed Support Systems FZ LLC
in5 Tech, Al Sufouh 2
Dubai, UAE
EMED SUPPORT SYSTEMS LTD
Georgiou A 13, STALA COURT Flat/Office 3, Germasogeia 4040, Limassol, Cyprus
in5 Tech, Al Sufouh 2
Dubai, UAE
EMED SUPPORT SYSTEMS LTD
Georgiou A 13, STALA COURT Flat/Office 3, Germasogeia 4040, Limassol, Cyprus
Location:
Contacts:
Consultation Request Form
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