McKesson - Fortune top 10 healthcare company - looks to the future of data with Compile acquisition
The healthcare industry’s voracious appetite for data is increasing exponentially with the adoption of AI and Machine Learning, and it won’t be slowing down anytime soon. In a move to meet current and future demand for data and jumpstart the introduction of new products, McKesson has acquired specialist data provider Compile.
Stanton McComb, President, McKesson Medical-Surgical Solutions said: “With the Compile acquisition, we are building for the future of the industry, which increasingly requires high-quality data to feed AI and Machine Learning initiatives. We chose Compile because their solutions are designed for quality and usability, and we are very excited to add high-caliber data products to our offerings.”
Plans are to provide customers of both companies with premier data products built on the expertise strengths of both businesses. Compile is known for its exceptional data products, which are used by pharmaceutical and biotech companies and other healthcare innovators. McKesson is a Fortune top 10 company and a diversified healthcare services leader that delivers insights, products and services to help make quality care more accessible and affordable.
McKesson Compile will provide data products informed by McKesson’s proprietary data footprint, created by decades of work with life sciences innovators including biopharma companies, care providers, pharmacies, and more.
Isaac Fehrenbach, CEO at Compile said, “We are thrilled to join McKesson and accelerate adoption of our data products among the leading healthcare trailblazers who comprise the company’s extensive partner and customer network.” He continued: “We are enabling the life sciences industry to develop and distribute lifesaving innovations faster than ever before.”
The Compile difference
McKesson recognized the Compile difference, including its analytics-ready patient data, proprietary affiliations dataset, and premium customer service.
The foundation of Compile’s technology is its proprietary graph processing engine—which works in 3D, capturing all relationships in graphs—as opposed to tables. By using the graph format, Compile’s approach maintains all data points and information about relationships, creates more linkages between data points, makes data retrieval more accurate and easier for end users. The table-based approach can result in missing relationship data and requires users to cross reference between tables.
Kirby Forlin, SVP of McKesson Medical-Surgical Data Commercialization and Advanced Analytics, noted: “Provider 360 ReadyData and other Compile solutions are helping customers target their marketing in ways that they didn’t think were possible.”
Compile ReadyData – analytics-ready data sets
Life sciences companies are able to analyze relevant information more quickly by deploying ready-to-use data sets, rather than spending time and resources on data preparation. In fact, data preparation can account for much of the effort in data analysis.
Fehrenbach said, “Every bit of data we provide is carefully crafted so you can hit the ground running. We call it ReadyData because we believe the data customers receive should be ready to use when they want to use it. Compile does the detailed clean-up and organization so customers don’t have to.”
Compile’s ReadyData includes provider and patient (open claims, closed claims, Medicare data, and EHR) datasets.
In order to create ReadyData, Compile does the cleansing, normalizing, deduping, and table-merging clean-up, and then enhances the data with modeled variables and values to make it more robust and help streamline analyses.
Fehrenbach continued: “We impute missing values, allowing customers to use more datapoints in every analysis. We add modeled fields, flags, and categories to make it easier for customers to write queries and faster to run analytics.”
Provider 360 ReadyData
Companies launching new products, or researching additional markets, need to understand the provider marketplace. Compile’s Provider 360 provides comprehensive provider reference data that maps the relationships between healthcare professionals, healthcare organizations, and health systems / IDNs. With Compile’s proprietary scoring system, users can understand the strength of the relationships between entities. Additionally, Compile Provider 360’s provider intelligence goes beyond basic demographics to provide a holistic view of physicians and allied health professionals, enabling a focused marketing approach.
In one example, a customer introducing a much-needed new drug therapy for a rare disease in the pediatric population was struggling with the serious gaps in its legacy data set.
Compile’s solution gave the biotech company an understanding of the range of healthcare professionals in the market, including specialists, primary care doctors, pediatricians, and nurse educators, and how they were all affiliated with each other and various healthcare organizations. With that data, the company was able to build relationships, develop promotions, and appropriately allocate their marketing resources.
The customer said: “Anyone who’s worked with rare diseases knows that the data is not anywhere as clean as we want it to be. There are a lot of nuances to it, and that’s why it’s critical to have a partner like Compile that understands those nuances as we work through them together.”
AI and machine learning: building for the future with the Compile difference
AI and Machine Learning-enabled applications are being adopted by life sciences companies across functions including R&D, operations, marketing and more. According to some bullish predictions, fifty percent of the $4.3 Trillion U.S. healthcare market will be AI-driven in just a few decades. Analysts predict that use of these advanced capabilities could be a key competitive driver, determining which companies thrive and which do not.
Yet for all the fanfare, the quality and depth of data needed to run AI and ML initiatives and provide accurate and useful outcomes can be difficult to secure. Compile’s unique data technology allows customers to store more data and accurately captures the full universe of complex provider and healthcare organization relationships. By providing more data, and cleaner data, AI and ML programs create better conclusions.
Fehrenbach continued, “Compile’s commitment to creating high-capture, high-fidelity data sets across providers and patients enables customers to maximize opportunities created by AI and ML. Going forward, our work with McKesson gives us access to an additional, unmatched source of data that will provide further depth and accuracy to customers as they implement their AI and ML initiatives.”
Building for the future
By joining forces McKesson and Compile are building for the future of the life sciences industry.
Data will continue to be a driving force in the industry, and companies will be engaging AI and ML to help with R&D, operations, and marketing. By adding new data products, McKesson continues nearly 200-year-old track record of helping the industry stay ahead of the curve.
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