70M
total patient lives covered
Gain a holistic, longitudinal view of the Medicare population with access to complete claims data from Medicare Parts A, B, C, and D. Fill knowledge gaps to better understand your target patients' journeys and then build strategies to get them the therapies they need.
total patient lives covered
increase in HCP coverage when combined with Open Claims ReadyData
data capture from date
Create Medicare
market overviews
Map patient journeys across
care settings
Analyze provider prescribing
and diagnosing behaviors
Monitor treatment, adherence,
and switching rates
A complete capture of medical and pharmacy claims for Medicare parts A, B, C, and D.
Patient demographic information from the Beneficiary Race Code (BENE) and the Research Triangle Institute (RTI) race code.
Expertise from our Real-World Data Analytics team on how to get the insights you need.
Our team of experts collaborates with you to ensure you get the right data for your unique use case. Experience the power of insightful data.
We deliver intelligence from All Medicare Closed Claims ReadyData in the form of analytics reports which aggregate patient level data into groups of 11 or more. Our data experts will work with you to determine the best way to aggregate the data so it’s meaningful and tailored to your use case.
Tell us about your ideal dataset.
McKesson Compile’s integrated provider and patient datasets help close knowledge gaps so you can understand the clinical and behavioral drivers of patient treatment journeys.
Our unique mix of open and closed claims data from a variety of sources helps you understand the clinical and behavioral factors driving patient treatment paths. Our datasets help you see what influences healthcare providers' prescribing decisions, when treatment switches occur, and the best intervention points to influence behavior and maximize adherence.
The breadth of data available from McKesson Compile™ allows you to map the patient journey for patients receiving therapy from competitive brands so you can better differentiate your product and improve the standard of care.
Utilizing demographic information from electronic health records (EHR) and social determinants of health (SDoH) can provide context that helps you identify key characteristics of patients using your therapy versus competitive brands so you can better identify and target patients that are the best fit for your therapy.
Gain insights into reimbursement trends, denial rates, and the impact of various factors on reimbursement for your brand.
Having up-to-date insight into payer dynamics helps pharma and biotech companies to navigate the market intelligently. With high-capture and longitudinal open and closed claims data from McKesson Compile™, you can gain a comprehensive view of the coverage and reimbursement rates for your brand. Unlocking this valuable data allows you to make informed decisions and strategically position your offerings. Additionally, you can leverage our claims, remittance, and open payment data to better understand what competitive strategies you’re up against and adjust your strategies accordingly.
Leverage our proprietary blend of open and closed claims datasets to understand reimbursement trends at the provider and organizational level so you can work to remove barriers to patient access.
Our combination of closed claims and remittance data allows you to broadly understand reimbursement rates for treatments within a targeted therapy area so you can create an optimal pricing strategy.
Understand the drivers of payer coverage decisions.
Understanding payer dynamics and the factors that influence coverage decisions are critical for brands to achieve maximum market penetration. Access to high-capture and longitudinal claims data gives you a comprehensive view of the relationships between payers, providers, and the healthcare organizations they’re affiliated with for any given therapy area. Gain the knowledge and insights needed to enhance your relationship with key payer organizations so you can improve your target patient’s access to care.
Our up-to-date patient claims data helps you understand how payers cover specific drugs, including prior authorization requirements and formulary placements so you can guide pricing and patient access strategies.
Leverage our claims data to understand benchmark reimbursement rates within a specific therapy area so you can negotiate more effectively and align your offerings with payer interests.
Understanding payer-specific reimbursement rates at the provider and organizational level can help identify the right engagement strategy to more effectively displace competitive brands and gain market share.
Uncover insights by tracing referral and patient utilization patterns.
Referral analysis helps you uncover valuable insights by tracing referral and patient utilization patterns. It also allows for an intelligent market approach. Access to comprehensive claims data gives you a clearer understanding of the disease area landscape. With integrated provider and patient datasets from McKesson Compile™, you can understand referral patterns between providers and organizations so you can prospect, engage, and qualify high-fit leads more effectively. In addition, our Real-World Data Analytics teams can help create influence maps and identify target-similar accounts, expanding your addressable audience.
Our claims data provides details on provider referral activity so you can better understand how patients move between specialists and effective sales details and intervention points.
Understanding referral patterns on top of claims-based provider activity can help prioritize the most important providers and organizations within your target list.
Optimize your attribution model by accurately allocating sales at the prescriber or account level.
Understanding who should get ‘credit’ for a sale can be a major pain point for teams. Our proprietary affiliation strength score helps provide clarity by showing the relative strength of a relationship between a healthcare provider and an organization. Use these scores to determine the correct attribution for each rep using a roll-up, or roll-down methodology.
Our proprietary affiliation strength score allows you to improve the way you attribute sales to your reps – regardless of whether the sale happens at the provider or organization level.
Utilize the affiliation strength score in conjunction with prescribing behavior to determine which providers and organizations have strong relationships but aren’t prescribing as much of your brand as you’ve forecasted.
Move beyond HCP targeting and engage accounts with precision using McKesson Compile’s deep intelligence on HCOs and IDNs.
With in-depth intelligence from provider reference and patient claims data, you can gain the insights needed to more precisely identify and target your key accounts. By evaluating clinical activities, patient profiles, and behavioral attributes, you can identify and prioritize key healthcare providers (HCPs) and accounts that matter most. This approach helps maximize sales efforts by helping you understand the ownership structure of IDNs and determine the most effective targeting strategy.
Our proprietary affiliations strength score helps you understand individual healthcare provider activity within the broader context of the organizations they’re affiliated with so you can engage at the account level and broaden your efforts.
Understand the ownership structure of the IDN and the level of control to decide between a top down vs. bottom up targeting strategy.
Our flexible account hierarchies help to standardize the complex web of parent and child relationships within a healthcare organization so you can understand where it makes the most sense to engage to achieve maximum impact.