Monavie Danny

Multiple Sclerosis and Deidentified Data

Multiple SclerosisLooking for to perform a longitudinal study on Multiple Sclerosis (MS) patients, a well-respected data analytics organization knew they had an uphill battle on their hands. Their researchers wanted to collect longitudinal data, but this is a slow, expensive process with many logistical difficulties. They knew the information they wanted already exists at various …

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Cancer and diabetes therapies potential uses for deidentified

Cancer and diabetes therapiesA leader in developing innovative therapeutics in the areas of oncology and endocrinology, this major biopharmaceutical organization assists specialty pharmacies and other healthcare providers by extracting patient-level data related to drug dispensing and clinical management of specific patient populations. The data they use for secondary purposes are obtained from specialty pharmacies. The …

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Deidentified data for Spinal cord injuries

Committed to seeing a world without paralysis after a spinal cord injury, one research institute opted to improve research by using risk-based de-identification. Spinal cord injuries happen every day, often occurring after a vehicle accident, fall, impact by an object, sports injury or by violence. Over 250,000 Americans suffer from such injuries, with approximately 11,000 …

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de-identified

De-identified data (Healthcare Big Data) has the power to leverage past utilization, outcomes, trends and experience to project many outcomes. This layered over a blockchain technology for security, speed and decentralization combined with machine learning (MEDICAL AI) could hold the keys for million of answers and provided much-needed insight to many questions not available with …

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Big Data & AI can change the healthcare industry and save billions

De-identified data (Healthcare Big Data) has the power to leverage past utilization, outcomes, trends and experience to project many outcomes. This layered over a blockchain technology for security, speed and decentralization combined with machine learning (MEDICAL AI) could hold the keys for million of answers and provided much-needed insight to many questions not available with …

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