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HendrenAI can build-to-order according to your needs and pain points. Below are examples of custom and convenient use cases tailored for your health system, managed care organization, or pharmaceutical manufacturer:

Across The Ecosystem

Health Systems/ ACOs

Predictive Analytics for Patient Outcomes

-> Predict hospital readmissions and adverse events
-> Optimize patient flow with bed management and resource allocation

Pharmacy

-> Optimize your 340B program by automating compliance and uncovering missed savings opportunities
-> Conversational AI with your automated dispensing cabinets (ADC)
-> Drug diversion monitoring program with Next Best Action insights

Clinical Decision Support

-> AI-driven recommendations for personalized treatment plans
-> Early identification of high-risk patients

Operational Efficiency

-> AI-based agents and workforce optimization
-> Supply chain management and inventory forecasting

Population Health Management

-> Risk stratification and care gap analysis.
-> Predictive modeling for chronic disease management
-> Automate workflow of pharmacists, nurses and social workers

Health Equity Analysis

-> Analytics for social determinants of health (SDOH) over-the-phone (Food, Transport or Housing Insecurity)
-> Identification of disparities in care and targeted intervention strategies
-> Enhanced SDOH data collection — Streamline and improve data collection by employing texting campaigns providing actionable support resources to patients. Patients can overcome barriers to care and provide timely, accurate information to care teams for effective follow-up.
-> Social Vulnerability Index (SVI) demographic scoring

Managed Care Organizations (MCOs)

Care Management Automation & Optimization

-> AI-driven identification of high-risk members
-> Predictive analytics for care intervention effectiveness
-> Automate workflow of physicians, pharmacists, nurses and social workers

Member Engagement & Retention

-> Personalized outreach and communication strategies
-> Predictive models to identify members at risk of disenrollment

Utilization Management

-> Automate prior authorization, step therapy and claims adjudication -> Predictive models to identify potential fraud, waste, and abuse

Pharmaceutical Manufacturers

Market Access and Pricing Analytics

-> Payer Coverage Status Scraping For Medicare, Medicaid, Commercial and Exchange Plans
-> Prior Authorization Form Completion Via Robotic Process Automation (RPA)
-> Payer Utilization Data Analysis
-> Dynamic Pricing Models: Predictive models for ASP pricing
-> Market access modeling and payer coverage analysis

Trade (HendrenAI's Pharmacy Locator)

-> Integrating data from 852 reports (inventory positions and movements between suppliers and retailers) and 867 reports (pharmacy purchase history), AI/ML-powered analytics can provide deep insights and drive more efficient operations.
-> Data Ingestion and Analysis
-> Supply Chain Forecasting
-> Dynamic Inventory Optimization

Medical Information

-> Utilize Conversational AI, Natural Language Processing (NLP), and automated reporting for adverse events and Medical Information Request Form (MIRF) submissions in a Medical Information Call Center

Regulatory Compliance

-> Automated pharmacovigilance and safety reporting
-> AI-driven support for regulatory submissions and documentation

Sales and Marketing Intelligence

-> Predictive analytics for targeting high-value prescribers
-> Market segmentation and personalized engagement strategies

These services aim to leverage Robotic Process Automation (RPA), Artificial Intelligence and Machine Learning to enhance efficiency, improve patient outcomes, and support data-driven decision-making across the healthcare ecosystem.