Whatson health12/29/2023 ![]() Steven Alberts (Chair of Medical Oncology at the Mayo Clinic) explains that Watson Health is able to accelerate this process and quickly identify relevant opportunities. The current process for matching patients to applicable clinical trials is manual and slow. Watson Health addresses these by matching patients to clinical trials and recommending potential treatment options.Ĭlinical trials give patients access to potentially life-saving treatment and contribute to our growing body of cancer research. Watson is particularly beneficial to the field of oncology because of two characteristics: (1) new clinical trials, evidence, and therapeutics emerge daily and (2) treatment selection is extremely time-sensitive. This post focuses on how Watson for Oncology is already delivering unprecedented value in healthcare and offers more promise in the years to come. These existing use cases are just the tip of the iceberg in terms of value artificial intelligence is expected to bring to healthcare in the next 5 years. To address the unique needs across the spectrum of care, Watson Health has tailored its technology to six specific care solutions: Watson for Oncology Watson for Genomics Population Health Management Solutions Care Management Imaging Solutions and Enterprise Imaging Solutions. Ingestion of multiple datasets: Watson can aggregate data from various sources, which is helpful because it would take clinicians 29 hours each workday to keep up with new professional insights.Potential to unlock the elusive unstructured data: Watson can digest the free-text notes, images, and scanned documents that are inconsumable by average analytics software.Horsepower: Watson can read 200 million pages of text in 3 seconds, allowing clinicians to gather information on complex situations instantly.Watson Health delivers its cognitive computing abilities to “translate information into knowledge that can help drive more informed decision-making.” Watson Health’s business model addresses three major gaps in the existing healthcare analytics market: IBM is one of those companies aiming to make use of all of this data, and Watson Health is the frontrunner in applying artificial intelligence to healthcare data. As many EHRs do not have robust analytics capabilities (especially when aggregating multiple datasets), technologists are flocking to healthcare to unlock the next frontier of big data. Today, clinicians are inundated with data from many sources (i.e., updated clinical guidelines, real-time data from wearables or remote monitoring devices, and EHR data), yet struggle to draw insights from this deluge of data, especially when making decisions in real-time. The rise of EHRs has forced clinicians to transform the way they practice medicine, yet many have yet to reap benefits of the data they have painstakingly captured. Pathways to Just Digital Future Watch this tech inequality series featuring scholars, practitioners, & activists
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