The startup offers a healthcare optimization platform that utilizes data analytics to identify at-risk patients and recommend timely interventions based on their unique health journeys. By providing healthcare organizations with personalized patient data and actionable insights, the platform enhances clinical outcomes and financial performance in value-based care models.
Funding
$6.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FVSHFounders
Product
Problem
Managing patients on multiple medications (polypharmacy) is complex, leading to increased risk of adverse drug events, hospitalizations, and suboptimal health outcomes. Healthcare organizations struggle to efficiently identify and prioritize patients who are most vulnerable to medication-related problems. The sheer volume of patient data and evolving clinical guidelines makes it difficult for clinicians to make timely, informed decisions about medication regimens.
Solution
FeelBetter offers an AI-powered platform that helps healthcare organizations optimize medication management for polypharmacy patients. The platform synthesizes pharmacy and clinical data to risk-stratify patients, pinpointing those at highest risk of deterioration and hospitalization. It then recommends specific, timely interventions, such as medication regimen changes, to clinical pharmacists through a dedicated portal. Post-intervention, the platform provides real-time monitoring of patient progress at the individual and population levels, offering a comprehensive view of care journeys. By integrating with existing claims data and EMRs, FeelBetter streamlines workflows and enhances clinical decision-making.
Target Audience
The primary target audience includes healthcare organizations, clinical pharmacists, and providers involved in managing patients with polypharmacy, particularly those focused on value-based care models.
Features
- AI-driven risk stratification to identify patients at high risk of polypharmacy-related issues
- Pharmaco-clinical intelligence that synthesizes pharmacy and clinical history to provide a holistic patient view
- Clinical pharmacist portal for managing patients flagged for clinical interventions
- Decision support tools that recommend specific clinical interventions
- Real-time patient monitoring at the individual and population levels
- Integration with existing claims data and EMR systems
- AI algorithms leveraging 20+ years of longitudinal pharmacy and clinical data