HomeMeds Case Study: Optimizing Medication Assessments with AI for Managed Care

HomeMeds Case Study: Optimizing Medication Assessments with AI for Managed Care

Bridgera delivered an AI-enabled care platform that reduced costs, improved workflows, and prepared for predictive healthcare.

Customer OverviewRescuing a stalled transformation, on time and at scale

Our client is a nationally recognized non-profit organization dedicated to pioneering innovative programs and services for older adults and individuals with complex health needs. As a key partner to managed care organizations, our client serves as a catalyst for person-centered care that reduces costs and improves health outcomes for high-risk member populations. The HomeMeds program is one of its key initiatives, demonstrating the foundation’s commitment to leveraging technology for a more efficient and effective healthcare ecosystem.

HomeMeds is an evidence-based digital platform designed to improve medication use and safety for older adults receiving in-home services. By helping to prevent medication errors, a leading cause of emergency room visits and hospital readmissions, the program directly addresses significant drivers of avoidable healthcare costs for managed care plans. The platform’s structured process relies on in-home care providers to perform medication reviews and enter data into a web-based system for a pharmacist’s review.

The ChallengeOperational Bottlenecks and Data Risks in Medication Assessments

Time-Consuming Practices

Manual medication entry significantly extended the duration of in-person assessments, limiting the number of patients clinicians could see in a given timeframe and reducing overall productivity.

Operational Inefficiency

High administrative overhead required clinicians to spend a considerable portion of their time on non-clinical tasks, diverting focus away from direct patient care and impacting care quality.

Concerns over Data Integrity

Routine manual data transcription introduced a higher risk of human error, leading to inconsistencies in medication records and potential downstream impacts on patient safety and reporting accuracy.

Lack of Workflow Optimization

The care delivery workflow remained fragmented across multiple self-contained phases, resulting in inefficiencies, delays, and limited visibility across the end-to-end assessment process.

Practical Constraints

The organization needed to scale its operations to support a growing patient population, but faced limitations in doing so without proportionally increasing staffing levels and operational costs.

Client RequirementsNeed for Scalable, Accurate, and Efficient Medication Workflows

Workflow Automation

The system needed to automate key administrative tasks, such as manual data entry, to significantly reduce the per-assessment time and improve clinician efficiency.

Advanced Data Capture

The platform had to support innovative data capture methods, including optical character recognition (OCR) for scanning medication labels and speech recognition for hands-free note-taking.

 Mobile-First and Intuitive User Interface

A new, intuitive mobile app was required to streamline the assessment process directly from a provider’s device, ensuring ease of use and a seamless user experience.

IoT-Enabled Vitals Capture

The solution needed to integrate with IoT devices to allow for automated, real-time capture of patient vitals like blood pressure and glucose levels, enabling proactive risk management.

Telehealth Functionality

A secure, in-app telehealth feature was required to facilitate cost-effective remote consultations and follow-up care between clinicians and patients.

Data Accuracy and Integrity

The new system had to ensure high data accuracy to reduce human error and create reliable patient records for pharmacist review.

Platform Scalability

The solution had to be built to handle a larger member population without a proportionate increase in staff, allowing the program to expand its reach for managed care contracts.

The SolutionAI-Driven Automation and Workflow Transformation

Quickly Scan Labels

Use the device's camera to scan medication bottles, automatically populating the member's record with drug names, dosages, and other key information.

Dictate Notes

Use speech-to-text functionality to record notes and observations during the assessment, eliminating the need for manual typing.

Automate Data Entry

Directly link the captured data to the backend system, streamlining the entire workflow.

The ImpactMeasurable Gains in Efficiency, Accuracy, and Scalability

Reduced PMPM Costs

Lowered administrative burden reduced cost per member while improving overall care delivery efficiency.

Enhanced Risk Stratification

Improved data accuracy through OCR enabled more reliable risk assessment and proactive care planning.

Increased Operational Efficiency

Centralized records streamlined workflows, accelerating reviews and reducing manual effort.

Proactive Vitals Monitoring

Real-time IoT data enabled early intervention, helping prevent adverse events and reduce high-cost care.

Cost-Effective Remote Care

Integrated telehealth enabled consultations, lowering in-person costs while maintaining quality.

Scalable Growth Enablement

Optimized workflows supported higher member volumes without proportional increases in staffing.

The structured modernization reduced overhead and strengthened our predictive care capabilities." — Director of Clinical Programs

-   Lead Project Stakeholder

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