Data and Trust: Digital Transformation – The Impact of Machine Learning in Healthcare

Over the past decade, the integration of data and advanced technologies has been increasingly recognized as crucial for digital transformation in healthcare, particularly through the use of Privacy Enhancing Technologies (PETs) that allow for secure data collaboration. The application of machine learning (ML) in healthcare is exemplified by companies like Bayesian Health, which uses ML for early detection of conditions like sepsis, potentially reducing mortality rates. The transition to digital health data has faced challenges, including defining success benchmarks, overcoming industry hesitation, and updating outdated infrastructure to support real-time analytics. Duality Technologies offers solutions that enable secure and compliant data collaboration across healthcare institutions, utilizing federated analytics and cryptographic tools. As the healthcare industry continues to embrace digital transformation, there is a growing emphasis on educating the public about the benefits and rigorous validation of advanced algorithms, with the potential to significantly reduce healthcare costs and mortality rates within the next decade.

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