Our Offerings
Our offerings reflect the expertise gained from hundreds of successful client projects. We provide solutions for sales force sizing, alignment, and incentive compensation, as well as segmentation and targeting of physicians, hospitals, and patients. Our services also include a wide range of patient-level data analyses and cutting-edge predictive modeling using AI and machine learning techniques. Explore our most popular offerings below to see how we can help you overcome your business objectives.
We identify the most relevant data sources to meet your brand's needs. Our team curates a customized blend of primary and secondary data from internal and external sources, providing comprehensive market understanding. By streamlining data acquisition, we maximize your investment return and empower confident, data-driven decisions.
Data Strategy
KOL & Influence Mapping
Psychologists have long known that decision-making is subconscious and influenced by others, and physicians are no exception. We pioneered a network-based technique using patient-level claims data to identify Key Opinion Leaders (KOLs) and map their spheres of influence. By viewing patients as threads connecting physicians, we uncover powerful insights into physician networks and decision-making patterns.
The depth and range of insights that can be uncovered depend on how well the data sources are integrated, and yet many of our data sources lack a common id. The latest addition to our suite, MergeOO and MergeOC, allows us to merge PHI-free PLD data sources despite the fact that patients and physicians have been encrypted using different encryption engines.
Data Merging
Our pioneering technique measures hospital-retail spillover by constructing and leveraging the actual patient base of individual hospitals. This approach helps determine the optimal hospital drug pricing strategy, considering the potential for retail recoupment, ensuring a balance between patient access and financial sustainability.
Hospital-Retail Spillover
We offer a comprehensive suite of targeting and segmentation techniques. Some leverage profile information (size, activity, market share, share of voice, geography, etc.), while others utilize behavioral properties (position in the product adoption cycle, inbound/outbound referral activity, responsiveness to promotion, level of influence, etc.). Our approach ensures precise targeting and segmentation for maximum impact and ROI.
Targeting & Segmentation
We answer critical questions about a patient's healthcare journey: What interactions led them to their current state, and where do they go from here? We leverage syndicated patient claims data sources, providing names and addresses of treating physicians, for the most accurate insights. Alternatively, we employ primary research interviews when targeting is unnecessary or for more qualitative inquiries.
Patient Journey
Our approach goes beyond demographics, incorporating peer interactions (referrals received and sent) and organizational memberships (affiliations, privileges in teaching hospitals) to understand and predict behavior. This enhanced ecological profiling is invaluable for predictive modeling, providing a comprehensive view of accounts and physicians.
Account & Physician Profiling
Our advanced machine learning approach helps identify physicians who would most likely respond well to promotion, even with limited or no prior contact. Our AI-driven approach consistently delivers great results by leveraging comprehensive physician profiles, enabling targeted and effective promotional strategies.
Predicting Physician Response
Choosing between Vendor X and Vendor Y is a complex, multi-factorial decision with organization-wide implications. Our time-tested approach uses a comprehensive list of no-nonsense questions and sample evaluations to expose all the necessary elements for an informed decision, ensuring optimal outcomes.
Data Vendor Evaluation
Market Access - Spillover
Considering removing prior authorization (PA) or step therapy (ST) requirements, or placing your drug on a lower formulary tier to improve access? We help determine the appropriate rebate level for these scenarios. Interestingly, changing the formulary status of your drug with one payer can have ripple effects on payers that did not change your drug's formulary status. We measure both the direct impact and the spillover effect to optimize your market access strategies.
With promotional dollars spanning personal selling, samples, speaker programs, digital advertising, and more, determining the optimal budget and allocation across channels is complex. Challenges include channel interdependence, potential cannibalization, and saturation. Our simulation-based model factors in these phenomena, producing consistently optimal recommendations to maximize your promotional ROI.
Market Mix Optimization
Predicting the likelihood of a patient filling their 6th Rx after 5 previous fills is complex, especially when considering factors like hospital admissions, new diagnoses suggesting misdiagnosis, and changes in insurance deductibles. Our approach uses Bayes Optimization, which naturally articulates these expressions and consistently delivers accurate adherence predictions.
Patient Discontinuation
Copying and formatting data from Excel and Access into PowerPoint is time-consuming and error-prone. We eliminate this waste by writing custom code that automates the process, ensuring the job gets done like clockwork. This frees up valuable time for your team to focus on more judicious tasks, improving productivity and happiness.
Task Automation
Proper financial assistance is crucial for ensuring patients use your drug instead of a competitor's. Determining the optimal structure is complex with unique patient needs and numerous assistance programs. Our simulation-based models explore a vast array of strategies to identify the optimal approach, ensuring maximum patient access and adherence.
Co-Pay Card & eVoucher
To evaluate program performance and identify necessary changes, we employ two powerful techniques. The pair-wise pre-post test control, used in clinical trials, works extremely well. For large datasets or numerous clone variables, we utilize the propensity score method. These approaches ensure accurate assessment and data-driven optimization of your promotional programs.
ROI of Promotional Programs
For high-cost treatments exceeding $100K per patient annually, identifying new patients is crucial. We leverage machine learning to profile patients who respond well to your drug and exhibit telltale signs of disease progression. Our AI-driven approach accurately predicts who will need your drug and when.