Watson Summit Prague 2017

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Transcription:

Watson for Oncology Matěj Adam Watson Health Executive May 2017 Watson Summit Prague 2017

an IBM Company Leadership & 23 Years Patent Leadership Research Spend Global Presence Technology 7300+ 2015 $6B 170 Countries Global Data Centers Watson APIs Watson Technologies 42 100+ 50 Health Data Health Records Health Longitudinal Data Points Physicians 200M 315B 350,000+ Growth Talent 7000+ Partners + Ecosystem 120+ Clients 250+ 16 Cancer Programs served in 18 Countries 80 Institutes

Going beyond current limitations What if you could Consume 4 billion pages of text in 1 minute and extract insights that help you deliver more personalized care? Identify clinical trials for which a patient may be eligible without entering any clinical information? Advance medical science by more quickly and efficiently fulfilling clinical research targets? Bring leading oncologists experience to your own practice for faster identification of appropriate treatment options? Leverage the power of genomics to design individualized care plans for patients in your care? Ready to see what is possible? Page 4

It begins with the power of Watson Understands, reasons, learns and interacts Extracts and derives meaning from structured and unstructured content at scale Provides analyses across vast arrays of criteria to transform decisionmaking Dynamically updates hypotheses based on variable chains of evidence Harnesses entire bodies of knowledge Page 5

Oncology Demand for cancer care will increase 42% over the next ten years Watson Health cognitive solutions can help oncologists more confidently plan treatment regimens, more efficiently match patients to clinical trials, and apply genomic insights to each patient s cancer. 1. http://www.ascopost.com/issues/april-15-2014/asco-releases-itsfirst-ever-report-on-the-state-of-cancer-care-in-america/

Case study: advancing evidence-based care Using a Watson powered solution, clinicians were quickly armed with evidence-based and ranked treatment options It takes 17 years, on average, for science to be translated into clinical best practice 1 Recommendations based on the patient s condition and medical evidence were available in approximately 30 seconds* It is fast, thorough, and has the uncanny ability to understand how the available evidence applies to the unique individual I am treating. --Dr. Stephen Miser, Chief Medical Information Officer 29 hours each work day Required for a physician to stay up-to-date with the latest medical literature vs. 3 seconds Needed for Watson to read 200 million documents Page 7 *Preliminary results, as reported by client 1.) https://www.researchgate.net/publication/51897868_the_answer_is_17_years_what_is_the_question_understanding_time_lags_in_translational_research\

A purpose today a mission for tomorrow Government Value-Based Care Life Sciences Oncology & Genomics Imaging Provide organizations longitudinal analysis of multivariate data sets to benefits and services organizations Enhance the ability of organizations to contract, organize for, and deliver personalized, quality care to individuals and populations Spur the discovery of medicines by enabling researchers to uncover insights Help oncologists more confidently plan treatment regimens, more efficiently match patients to clinical trials, and apply genomic insights to each patient s cancer Help radiologists improve productivity so that you can enable patient care with image analysis tools So that we can help... So that we can help So that we can help So that we can help So that we can help Improve the delivery of health and human services programs, while supporting efforts to better meet individual s unique needs Support the ability of organizations to take on risk, while reducing costs and meeting evolving reimbursement models Support commercial decisions using insights from real world outcomes, market knowledge, and product surveillance Bring personalized, evidence-based care for more cancers to people around the globe Enable better patient care by providing contextually relevant, probability-driven objective assistance Page 8

Watson Oncology Platform Support for the delivery of evidence based care Find patients for my trials; which are the right Pharma trials for to open in my hospital How does mutational status impact my treatment planning, Can I identify areas of future research from mutational information Incorporate patient reported outcomes to personalize treatment plans Advanced analytics on real world and outcomes data to advance research Comprehensive Cognitive Cancer Care Platform Watson for Oncology Watson for Clinical Trial Matching Watson for Genomics Real World Evidence Continuous Learning Platform EMR EMR Genomic data Clinical data Patient reported outcomes Biobank Detect patterns from outcomes, real world data to update guidelines; benchmark EMR Patient Data Repository Exogenous data 9

Capability: Oncology & Genomics Mission: Empower care teams to deliver more personalized and informed care Oncologists Leverage information to help improve clinical decision making Enable oncologists to more confidently recommend treatment approaches based on medical evidence, guidelines, available clinical trials, and genomic insights Chief Medical Officers Harness insights to help elevate the consistency of care Ability to provide robust and consistent presentations of evidence to help providers improve the quality and consistency of care Payers Help validate care protocols Increased confidence in care providers abilities to identify care pathways and potentially effective treatment options Page 10

To enrich your capacity for care Utilize cognitive and digital tools in conjunction with one of the largest health data sets available to help Improve patient access to personalized, evidence-based cancer treatments to help Harness the power of leading oncologists expertise in cancer research and treatments to help Unlock insights from a vast amount of published data and clinical knowledge to help Lower Costs Raise Quality Create Value Improve Experiences by efficiently identifying treatment pathways, helping to reduce manual processes by providing clinical decision support as a way to reduce treatment variation by providing patients with the opportunity to receive treatment options from their oncologist validated by an industry leading cancer center by allowing clinicians to spend less time contemplating care plans and more time caring for patients Page 11

Thank you Page 12