Pharmacy Analytics System Clinical Opportunity Synchronization
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Solution Overview
Problem
Existing pharmacy management systems lack functionality for notifying users of clinical service opportunities and gathering analytical data on pharmacists' services, limiting the ability to identify and recommend services like immunizations and medication therapy management at a patient level.
Innovation Solution
A system that leverages pharmacy analytics data to generate clinical opportunities, which are then presented to users through a new screen in the prescription workflow, using a central pharmacy management system to distribute and synchronize these opportunities across pharmacies based on customer subscriptions, including features like a configuration portal for managing clinical programs and actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pharmacy analytics systems are used to identify clinical opportunities at patient level, then the ability to recommend clinical services (immunizations, MTM) is improved, but the system complexity increases due to integration requirements between analytics systems and pharmacy management systems
Solution Approach 1:
The system is divided into distinct modules: a pharmacy analytics system that generates clinical opportunities, a pharmacy management system that receives and processes these opportunities, and a user interface that presents opportunities to pharmacists. This segmentation allows each component to be developed and maintained independently while achieving integrated functionality.
Solution Approach 2:
The patent introduces an intermediary interface layer between the analytics system and pharmacy management system. This interface receives clinical opportunity data from the analytics system, processes it through the existing pharmacy management infrastructure, and presents it to users. The intermediary approach allows integration without requiring complete system redesign.
2Productivity
If manual identification of clinical opportunities by technicians and pharmacists is replaced with automated systems, then productivity is improved, but the ease of operation may be reduced due to new workflow changes
Solution Approach 1:
The system performs preliminary analysis of patient data to identify clinical opportunities before presenting them to pharmacists. By pre-processing the data and generating ready-to-review opportunity lists, the system automates the complex analysis portion while keeping the final decision-making with human professionals, thus maintaining ease of operation.
Solution Approach 2:
The system incorporates feedback mechanisms where pharmacist actions on clinical opportunities (acceptance, rejection, modification) are tracked and used to refine future opportunity generation. This feedback loop improves the system's ability to prioritize relevant opportunities, making the workflow increasingly aligned with pharmacist needs over time.
3Measurement precision
If comprehensive pharmacy data is analyzed to generate clinical opportunities, then the precision of service recommendations is improved, but the loss of time for data processing increases
Solution Approach 1:
The system implements periodic data analysis at scheduled intervals rather than continuous real-time processing. Clinical opportunities are generated based on periodic reviews of patient data, prescription patterns, and clinical guidelines. This periodic approach maintains recommendation accuracy while significantly reducing computational overhead and processing time compared to continuous analysis.
Solution Approach 2:
The system focuses analysis on specific, high-value clinical indicators and patient subsets most likely to benefit from clinical services, rather than analyzing all possible data points for all patients. This partial action approach achieves sufficient recommendation precision for the most critical cases while minimizing overall processing time.
Data Source
AI summary
A pharmacy analytics system generates clinical opportunities for patients, and the resulting opportunity file is sent to the pharmacy management system mainframe for distribution to pharmacy management systems in respective pharmacies. The clinical programs and opportunities configured in the system include immunizations, Medication Therapy Management, performance measurement, predictive refills, and the like. Opportunities for a particular patient will only be synchronized to the stores that are subscribed to by the particular patient. All clinical opportunities are sent down by the pharmacy management system mainframe to a pharmacy management system client as part of a data synchronization process or in response to a customer browse and customer select transactions. The clinical opportunities are then presented during interactions with the customer in the prescription workflow when filling prescriptions using the pharmacy management system and/or in response to a search.