
Value-Based Solutions and Services
Insight
Risk Stratification & Quality Metrics
Identifies patients at highest risk of preventable hospitalizations due to suboptimal medication management
Action
Patient-Specific
Recommendations
Serves as a personalized medication management tool for clinical pharmacists and physicians
Impact
Patient Journey Monitoring
Tracks clinical interventions and monitors health outcomes
FeelBetter enables organizations to overcome the challenges presented by less experienced staff
FeelBetter reduces the time clinicians spend on polypharmacy issues by 30%-50%
Using FeelBetter, health organizations can better manage their current staff allocations by identifying the patients at-risk and allocating the right resources at the right time.
By combining Pharmaco-clinical intelligence with advanced machine learning algorithms, FeelBetter optimizes the efficiency of limited care management and pharmacist resources.
FeelBetter saves time and effort by shortening the time required for clinicians and pharmacists to perform required patient assessments – with a reported impact of over 30% increased efficiency. At the same time, FeelBetter is reinforcing best practices and evidence-based approaches for polypharmacy patients.


Benefits
Enhances value-based care with a SaaS solution that:
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Reduces polypharmacy risks to improve safety and effectiveness, beyond managing non-adherence
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Brings down the cost of care by reducing preventable hospitalizations and use of healthcare services
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Alerts healthcare organizations when clinical interventions are needed and guides providers with patient-specific recommendations
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Enables healthcare organizations to track clinical interventions and monitor patients’ health status across their care journeys

Improve patient outcomes
Not only effective for time savings, FeelBetter improves the quality of patient outcomes by bringing together all the updated pharmacologic and clinical guidelines relevant for the specific patient. This drives the focus to interventions correlated with a specific patient’s outcomes and provides feedback to the clinician if the recommended actions are expected to reduce the patient risk of hospitalization.