What You Should Know:
– A new study published in The American Journal of Managed Care (AJMC) highlights the potential of AI-powered technology to address the complex issue of polypharmacy in senior patients.
– The study, conducted by researchers at Brigham and Women’s Hospital, evaluated FeelBetter’s platform and found it to be highly effective in predicting medication risks and stratifying patients based on their likelihood of hospitalization or emergency department visits.
The Burden of Polypharmacy
Polypharmacy, the use of multiple medications, is a common problem among older adults and can lead to serious adverse events. In the United States alone, suboptimal medication management is estimated to result in 275,000 deaths and over $500 billion in avoidable costs annually.
Accurate Risk Stratification
The study, involving 108,817 patients, demonstrated that FeelBetter’s platform accurately identified patients at high risk for hospitalization and emergency department visits. The platform correctly predicted medication risks in 89.2% of cases and provided clinically relevant warnings in 97.3% of instances.
FeelBetter’s platform offers a promising solution to the challenges posed by polypharmacy. By accurately stratifying patients based on their risk factors, the platform can help healthcare providers prioritize resources and intervene early to prevent adverse events.
Key Findings
- Accurate risk prediction: FeelBetter’s platform successfully identified high-risk patients based on demographic and utilization characteristics.
- Improved patient outcomes: The study suggests that using FeelBetter’s platform could lead to improved patient outcomes and reduced healthcare costs.
- Value-based care: FeelBetter’s technology can support provider organizations focused on delivering value-based care by identifying patients who require the most attention.
The results of this study demonstrate the potential of AI-powered solutions to address the complex issue of polypharmacy. As healthcare providers continue to search for ways to improve patient outcomes and reduce costs, AI-based tools like FeelBetter’s platform may play a crucial role in transforming medication management.
“Today, AI-based technologies are making it possible to go beyond adherence to more proactively focus on effectiveness, safety, and prevention, identifying patients who may benefit from medication-related interventions and personalized medication regimens,” said Dr. Adva Tzuk Onn, FeelBetter’s Chief Medical Officer, and a physician with more than 15 years of experience in geriatric and family medicine. “The broad adoption of such solutions, which offer a more holistic view of an individual’s health status based on relevant clinical and pharmacology factors, has the potential to be a giant step forward in improving health outcomes and patient safety, easing clinician workload, and mitigating burnout for overburdened clinicians.”
