The team created a prediction algorithm that estimated the risk of patient discontinuation based on several factors, including physician and patient profiles, dose modification behavior, and fulfillment trends observed in the specialty pharmacy data.

Prediction Algorithm

ProcDNA developed logistic regression and decision tree regression models using historical data, with patient discontinuation as the dependent variable and various influencing factors as independent variables.

Decision Tree Models

A risk score system (ranging from 1 to 5, with 5 representing high risk) was developed for all patients in the specialty pharmacy data. These scores were shared with the field teams to provide actionable insights.

Risk Score Development

The prediction model provided real-time guidance to the field teams, enabling them to prioritize physicians with high-risk patients for discontinuation, thereby improving patient management.

Real-Time Guidance

The model resulted in a 14% reduction in patient discontinuations, significantly enhancing patient adherence and improving overall business outcomes.

Measurable Success

Predicting Patient Discontinuation for an Oral Drug Using Specialty Pharmacy Data

ProcDNA mapped critical data sources, including CRM systems, sales data, and market research, and established robust data pipelines to ensure a seamless and timely flow of information.

Integrated Data Flow

Collaborated with stakeholders to define business-relevant KPIs like market share, sales metrics, and customer engagement. Tracking mechanisms were built for real-time monitoring.

KPI Alignment and Monitoring

Developed tailored reports designed for field representatives, managers, and executives, featuring intuitive visualizations and actionable insights for each audience.

Customized Reporting Framework

Delivered comprehensive training to empower teams to utilize the reports effectively and implemented a feedback loop to refine the solution continuously.

Effective Rollout and Adoption

The optimized reporting solution was deployed significantly faster than the anticipated timeline, accelerating time-to-value.

Accelerated Insights

Data-driven reports enabled informed decisions, improving strategic alignment.

Enhanced Decision-Making

Standardized processes reduced manual interventions and operational redundancies.

Improved Efficiency

User-friendly design and actionable insights led to a remarkable 79% adoption rate among field teams.

High Adoption Rate

Developing Effective Field Reporting for a Diabetes-Focused Life Sciences Firm

Utilized pharmacy payer claims data and specialty pharmacy data to develop a comprehensive understanding of the reasons for abandonment.

Abandonment Analysis

Compared the client’s abandonment rate with similar oncology products in the market to identify potential pockets of imbalance and areas for improvement.

Competitor Comparison

Conducted qualitative research to understand the role of different members of the care team (e.g., physician, nurse, office manager) in managing abandonment and identified key reasons for high abandonment rates.

Market Research

Established a regular quarterly process to track and report on abandonment, ensuring ongoing monitoring and response.

Quarterly Process

Provided strategic recommendations for designing co-pay cards and messaging, helping shape the overall patient services strategy and the role of the patient services team.

Success Strategy

Established a robust process to measure abandonment on a quarterly basis and deliver actionable insights to senior executives, empowering informed decision-making.

Analyzing Reasons for Abandonment of New Patient Prescriptions for an Oral Oncology Product

Identifies patients most likely to benefit from specific therapies, enabling timely interventions and improving engagement.

Proactive Patient Identification

Delivers tailored insights to sales representatives, helping them prioritize their efforts and customize engagement strategies based on individual patient needs.

Personalized Insights

Automates patient identification, freeing up sales representatives' time to focus on high-value interactions with healthcare providers and patients.

Provides actionable insights for optimizing marketing campaigns, resource allocation, and overall strategic decision-making.

The solution has driven a significant rise in the number of patients initiating therapy, contributing to revenue growth and improving patient outcomes.

Increased Patient Starts

By prioritizing high-potential patients, sales representatives have seen an increase in efficiency, enabling them to allocate their time and resources more effectively.

Improved Sales Efficiency

With actionable insights from the solution, companies have been able to make data-driven decisions, optimizing marketing strategies and resource allocation.

Data-Driven Decision Making

Leveraging AI-powered insights has provided companies with a competitive edge in the market, enhancing their position and accelerating therapy adoption.

Competitive Advantage

Driving Therapy Adoption with AI-Powered Insights for the mBC Market

QualSense streamlined transcription and analysis by leveraging AI. It automatically transcribed audio and text data from various research sources and identified key themes, sentiments, and trends using advanced natural language processing (NLP) techniques.

Automated Analysis

The system generated actionable insights from transcripts, reducing the reliance on manual interpretation and enabling faster delivery of meaningful outcomes.

AI-Driven Insights

ProcDNA created a centralized repository for storing qualitative research data, making it easier for teams to access, retrieve, and analyze information seamlessly.

Centralized Repository

To enhance usability, an interactive chatbot was integrated, offering users quick access to insights and instant responses to research-related queries.

Interactive Chatbot

Automation cut down transcription and analysis time, significantly reducing research costs.

Reduced Time and Cost

AI-enabled analytics provided a deeper understanding of market dynamics and customer needs.

Enhanced Insights

Faster delivery of insights empowered the client to make data-driven decisions, expediting product development and market strategies.

Improved Decision-Making

The centralized repository and interactive chatbot improved efficiency and collaboration across teams.

Streamlined Operations

Leveraging AI to Optimize Market Research and Accelerate Insights

Integrated insights from PMR to create a patient journey map, covering diagnosis, treatment lines, and market dynamics.

Collating Market Research Findings

Focused on key aspects of the patient journey, including treatment stages and market positioning, to ensure the insights were aligned with the real-world data.

Identifying Key Questions to Verify

Defined a stable cohort using claims data, aligning it with relevant business rules and criteria for accurate longitudinal analysis.

Creating a Stable Patient Cohort

Implemented treatment lines (LOT) and analyzed patient progress from diagnosis (Dx) to treatment (Rx), uncovering insights into drug switches and treatment outcomes.

Quantifying the Patient Journey Using Claims Data

Developed a concise and actionable patient journey map addressing key business questions (KBQs).

Quantified Patient Journey Map

Identified patient opportunities across treatment lines, including drug switches.

Treatment Line Opportunities

Discovered an unmet need in the first-line (1L) treatment for patients reliant on long-term steroid use, highlighting the demand for a sustainable, user-friendly therapy.

First-Line Insight

Validating and Quantifying the Patient Journey for PsO Patients Using Claims Data

Diagnosed gaps in documentation, process standardization, and team coordination.

Identified Key Issues

Introduced detailed checklists and automated QA/QC frameworks for accuracy and efficiency.

Implemented Best Practices

Set up an AWS-based Common Data Layer to unify data across vendors and workstreams.

Centralized Data Management

Formed a multidisciplinary U.S.-India Analytics team to enhance collaboration and insights.

Built Integrated Teams

Cross-trained team members to optimize resources and improve adaptability.

Enhanced Team Flexibility

Created clear prioritization checkpoints and escalation processes for swift issue resolution.

Established Prioritization Frameworks

Achieved six consecutive quarters of 99.9% operational accuracy across alignment, quotas, incentive compensation, reporting, and ad-hoc analytics.

Improved Accuracy

Supported a 40% product revenue increase for a 2-year-old dermatology brand through optimized commercial and analytics processes.

Revenue Growth

Streamlining Commercial Analytics for a Mid-Size Pharma Company

Conducted a detailed analysis to identify low-usage dashboards and redundant KPIs that added little value.

Dashboard Assessment

Decommissioned low-usage dashboards and consolidated similar KPIs into fewer, more comprehensive dashboards, ensuring relevance and alignment with business goals.

Consolidation and Standardization

Redesigned the dashboards’ user interface to improve usability and accessibility, tailoring features to meet the specific needs of diverse user personas.

User-Centric Design

Enforced robust data governance practices to ensure accuracy and consistency. Automated data quality checks minimized errors and enhanced reliability.

Data Governance and Quality

Consolidated and redesigned dashboards offered a seamless user experience, significantly improving user satisfaction and adoption.

Improved User Experience

Streamlining processes and eliminating redundancies led to a 40% reduction in overall costs.

Cost Reduction

Actionable insights from the improved BI solution empowered the client to make data-driven decisions.

Automation and dashboard consolidation saved time and improved operational efficiency.

Increased Efficiency

Optimizing BI Reporting for Enhanced User Experience and Cost Savings

Used Azure cloud and Office 365 for seamless integration.

Platform Selection

Created a modular, scalable data model for various IC plans (e.g., tiered, commission-straight).

System Design

Developed data pipelines to automate data loading and weekly reports.

Automated Reporting

Enabled easy plan modifications without coding, using input files.

Change Management

Reduced manual effort, freeing resources for strategic initiatives.

Operational Efficiency

Increased report frequency from monthly to weekly, improving performance management.

Timely Decision-Making

Enabled quick changes and easy configuration for new IC plans.

Scalability and Flexibility

Streamlined process to implement plan changes faster.

Reduced Change Management Effort

Building a Scalable and Parameterized IC System for a Mid-Sized Pharmaceutical Company in Oncology

We leveraged GenAI to consolidate data from various sources, including competitor publications, conferences, and social media, streamlining data collection for better insights.

GenAI-Powered Data Consolidation

Advanced analytics and topic modeling were employed to transform raw data into actionable insights, identifying key trends and competitive signals.

Advanced Analytics and Topic Modeling

Real-time monitoring of competitor activities was implemented, enabling us to continuously assess the competitive landscape and make informed strategic decisions.

Real-Time Competitor Monitoring

By automating data consolidation and analysis, we reduced the time required for competitor analysis by 40%, ensuring more timely insights for strategic decision-making.

40% Acceleration in Competitor Analysis

A centralized view of competitor activities was created, allowing us to track movements and trends across different platforms, enabling proactive market positioning.

Unified View of Competitive Activity

Leadership was empowered with timely, data-driven intelligence, helping them stay ahead of industry trends and adjust strategies accordingly to maintain a competitive edge.

Actionable Intelligence for Leadership

Elevating Competitive Intelligence with GenAI 

Developed a methodology to pinpoint factors indicating new patient starts, leveraging cross-functional collaboration across Sales, Marketing, and Medical Affairs.

Identified Key Drivers

Created a model using diverse data sources (medical/pharmacy claims and lab test data) to estimate new patient starts and validate predictions against actual data.

Built Predictive Models

Designed a process to flag patient triggers in the client’s CRM tool for targeted physician engagement.

Integrated Trigger Alerts

Tracked follow-up actions on flagged triggers, identifying and addressing gaps in field execution to ensure comprehensive coverage.

Monitored Field Follow-Up

Trigger alerts became a vital tool, significantly driving sales team activities.

Increased Sales Activity

Boosted field activity targeting triggered physicians by 20% over 12 months.

Targeting Physicians for a Rare Disease Indication

We developed reporting copilots powered by GenAI to automate the aggregation and analysis of data, streamlining reporting processes.

GenAI-Powered Reporting Copilots for Automation

The system enabled real-time sentiment analysis and insights generation for both social and clinical data, providing timely and relevant information.

Real-Time Sentiment Analysis and Insights Generation

Intuitive visualizations and concise summaries were provided to ensure quick comprehension and ease of decision-making.

Intuitive Visualizations and Summaries

The solution integrated seamlessly with existing systems, ensuring continuous data updates and easy accessibility across platforms.

Seamless Integration with Existing Systems

By automating key processes, reporting efficiency was increased by 50%, significantly reducing turnaround times and enhancing productivity.

50% Increase in Reporting Efficiency

Detailed and real-time insights improved strategic decision-making, enabling leaders to act confidently and proactively.

Enhanced Strategic Decision-Making

The system delivered actionable intelligence derived from diverse data sources, enhancing organizational agility and responsiveness.

Improved Agility with Actionable Intelligence

AI-Powered Reporting Copilots for Deeper Insights 

Leveraged the Autho platform to collect and tag social media data from various platforms, focusing on medications, therapies, products, and competitors.

Data Acquisition and Tagging

Developed a robust model to identify relevant posts based on predefined tags and keywords, supported by automated quality control checks for accuracy.

Modeling and Analysis

Conducted sentiment analysis to gauge perceptions of specific drugs, therapies, and companies, offering deeper insights into market dynamics and competitive landscapes.

Sentiment Analysis and Insights

Delivered deeper insights into market trends, emerging opportunities, and competitor activities.

Enhanced Market Intelligence

Enabled the validation of trial results and the identification of additional opportunities.

Validated Clinical Trial Results

Identified key opinion leaders (KOLs) and their perspectives for more precise targeting.

Improved HCP Targeting

Supported data-driven decisions on product positioning, marketing campaigns, and resource allocation.

Informed Strategic Decision-Making

Leveraging Social Media to Track Pharma Conferences and Key Conversations

Selected accounts for smoothing based on sales volume, account age, and engagement.

Account Identification

Determined the period for adjusting the effect of bulk purchases.

Smoothing Period

Applied a gradual reduction to normalize sales patterns over time.

Tapered Smoothing

Aligned IC metrics with industry standards for consistent payouts.

Fairer IC Metrics

Sales teams focused on building strong provider relationships.