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Tackling Rare Diseases with an Arsenal of Real-World Data

Technological innovations have fostered the age of big data in healthcare – and the huge populations amassed afford the ability to mine for key subpopulations — getting down to ever more precise groups of likely responders to therapy, high-risk patients and other high-value subphenotypes. Continue Reading

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How Artificial Intelligence and Real World Data Can Improve the Management of Type 2 Diabetes: A Case Study

See how Veradigm, a business unit of Allscripts focused on generating data-driven healthcare insights using EHR data applied artificial intelligence to EHRs to improve therapeutic management of patients with concordant comorbidities who are living with type 2 diabetes. Continue Reading

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Building Trust In Real World Evidence – From Regulators To Patients

Bill Fox Chief Strategist for Global Healthcare, Life Sciences, and Insurance MarkLogic     In a climate of growing consumer distrust for companies that have access to their personal information, organizations that generate real world evidence must join the likes… Continue Reading

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Artificial Intelligence for Real-World Evidence

Costas Boussios, VP of Data Science, OM1 Richard Gliklich, CEO, OM1 As artificial intelligence (AI) and Big Data are lauded for their potential uses in life sciences and healthcare, it is becoming difficult to differentiate between the myriad of terms… Continue Reading

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Big Ideas for Big Data Analytics in Real-World Evidence: Insights from Dr. Rich Gliklich, CEO of OM1

  Dr. Patti Peeples, CEO of HealthEconomics.Com, sat down with Dr. Rich Gliklich, CEO of OM1, to discuss how big data analytics are changing the face of real world evidence (RWE). The mission of this Cambridge, Massachusetts digital health company… Continue Reading