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In a recent podcast episode, Michael Ibara, Chief Data Officer at Elligo Health Research, delved into the fascinating history of mining healthcare data and its applications in identifying safety events. He also discussed the evolution of bringing electronic health record (EHR) data closer to the world of clinical research.

With over 20 years of experience in clinical research and development, Ibara has a deep understanding of the regulatory and policy implications of digital healthcare. Prior to joining Elligo Health Research, he held various positions at Pfizer, including Head of Business Development Coordination and Innovation, and Head of Pharmacovigilance Innovation.

During the podcast, Ibara compared the potential impact of artificial intelligence (AI) to the new electricity. He explained that AI has the potential to revolutionize clinical trials, regulatory processes, and raise ethical considerations surrounding large language models.

By mining healthcare data, researchers can identify safety events and make informed decisions about patient care. The advancements in EHR data integration have allowed for a closer collaboration between clinical research and healthcare providers. This integration enables researchers to access real-time patient data, which can lead to more efficient and accurate clinical trials.

Ibara also highlighted the potential applications of AI in clinical trials. AI algorithms can analyze vast amounts of data, identify patterns, and predict outcomes, allowing for personalized medicine and more targeted interventions. However, he emphasized the importance of addressing ethical concerns associated with AI, such as algorithmic bias and data privacy.

As the field of healthcare data mining continues to evolve, the possibilities for improving patient outcomes and advancing medical research are immense. With the integration of EHR data and the potential of AI, we are entering an era of data-driven healthcare that holds great promise for the future.

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The History and Evolution of Mining Healthcare Data: A Discussion ... - EnergyPortal.eu