Compile’s pre-built applications deliver insights across the commercial life cycle, from research, market assessment, launch planning, field force deployment to market access strategy
Optimize clinical trial design and make informed decisions by taking a systematic approach of integrating advanced analytics, therapeutic expertise and real-world data. Compile’s unified claims data asset along with clinical research data and other public data sources can substantially improve planning, feasibility, and enrollment targets for clinical trials.
Move from the traditional relationship-based approach to a data-driven and evidence based approach for identifying the best performing sites and practitioners. Compile’s array of data sources (claims, public, research and social) can be used to identify and prioritize the top sites and prescribers.
Reduce the risk of delays in patient recruitment by opting for an insight driven approach using real world data. Integrate Compile’s unparalleled data, proven clinical capabilities, and advanced technologies to perform patient characteristic assessment for understanding the key cohort of interest.
Epidemiology studies help in understanding the rate at which the market will grow overtime and is a critical assessment metric before investing in research. Compile’s longitudinal patient level data can be used to study the evolution of treatment rate, adherence and patient progression over time and inform the epidemiology forecasts and studies.
Perform the most accurate sizing, feasibility check for any therapy area to assess opportunity and devise strategy. Compile’s longitudinal data gives a complete picture of the historical trends in the market along with the power to segment it based on various physician, provider, patient and payer attributes.
Assess a therapy area on multiple dimensions like competitor claims trend, patient demographic distribution, geographic distribution, primary physician specialty, etc. Compile’s therapy area assessment dashboard powered by claims data gives an insight into the various physician, provider, patient, payer, geographic and treatment dimensions.
Identifying the target patient cohort is key for coming up with a messaging and targeting plan. Compile’s data provides a 360° view into a patient’s diagnostic and treatment journey along with demographic information to perform an in-depth characteristics analysis and identify the target patient segment.
Insights around the unmet needs and the competitive landscape in a therapy area is critical for informing launch strategy. Compile’s longitudinal patient level data can be used to understand the treatment rates and the share for various competitors, keeping you updated on the latest market trends.
Analyze multidimensional physician profiles in order to better identify the key decision makers and inform the targeting strategy. Compile’s real-world claims, affiliations, research, publications and payments data coupled with machine learning techniques can help with more accurate physician targeting.
Key Opinion Leaders (KoLs) are vital in helping pharmaceutical companies to identify new research areas, develop and market new products. Compile uses claims activity along with publications, clinical trials, payments, social media activity, affiliations and advanced graph analysis to identify KOLs and understand their influence.
Understand the increasing influence of integrated delivery networks (IDNs) on physician’s treatment behavior to inform your field force strategies. Compile’s high capture claims data, superior affiliations along with an innovative analytics approach can help in assessing the control exerted by IDNs on the affiliated physicians.
Understand the importance of physician referrals by developing a high-functioning specialist referral network. Compile’s analytical capabilities when combined with physician referral activity from claims data can be used to analyze networks of physician referrals and determine the causation of a particular treatment behavior.
Line of therapy helps understand therapy progression of a patient and helps in taking key decisions. Compile’s longitudinal claims data, therapy area expertise and advanced algorithms provide insights on how the patient interacts with the healthcare system in their journey from getting diagnosed to receiving treatment.
Patient’s adherence helps in understanding how long a patient lasted as well as how regular the patient was on a drug therapy. With the use of analytic techniques and Compile’s real-world claims data, the persistency and compliance can be tracked to understand the reason for patient drop off, irregular refilling of claims, dosing, etc.
Treatment pathways help in understanding concomitant drug usage of patients by looking at historic and present drug usage. Compile’s high capture longitudinal claims data can be leveraged to identify the top treatment patterns, switching patterns across drugs and help understand where a drug fits in the journey.
Predicting upcoming medical events in a patient’s journey can help in reaching the right physicians at the right time. Compile’s experience of working with multiple applications of patient event prediction, and expertise of working across different therapy areas can help accelerate the problem formulation and insight generation.
Share of patients with private vs. govt Insurance coverage is a key metric to assess a hospital's financial health. Use of Compile’s standardised channel of payment will allow researchers, policymakers, analysts, practitioners, etc. to conduct analyses that compare effects of different types of payment on access to care, quality of care, and treatment outcomes.
Understanding rejection & reversals of claims is critical to the brand’s performance, health & revenue cycle management. Compile data offer accurate final status of claims post resolving and duplicates/intermediate transactions. Combine this with cost related KPIs to generate powerful insights for driving time & money saving strategies
Integrate the traditional pricing strategy with a data driven approach for coming up with an optimal rebates, discounts and copay plan. Compile’s data can be used to understand the evolution of pricing, copay and rebate strategy of competitors by different payers and coming up with a plan of action.
Tapping into reimbursements & costs associated with treatments can be critical for making brand decisions.From the actual billed amount to payer & patient payment amounts associated with products & services, Compile claims data can help understand $ expenditures at drug, CPT, infusion, hospital admission and other levels.