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Unlocking Innovation Culture in Healthcare

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Unlocking Innovation Culture in Healthcare #Expo18NHS Unlocking innovation culture in healthcare John Davies UK&I Health Lead – Amazon Web Services 5th September 2018 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 1 #Expo18NHS Today’s Conversation Unlocking healthcare innovation ▪ How does Amazon approach innovation? ▪ A look at healthcare innovation on AWS ▪ NHS Digital – Cloud policy and usage ▪ AI/ML What is it and how to use it for healthcare ▪ NHS Business Services Authority – AI in use © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 2 #Expo18NHS © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 3 Amazon Innovation Equation (culture * organization) f(I) = (mechanisms * architecture) ^ © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 4 Our culture of innovation »Customer Obsession “Start every process with the customer and work backwards.” »Long Term Thinking “Be stubborn on the vision but flexible on the details.” »You have to be willing to be misunderstood for a long time. “We are very comfortable being misunderstood.” © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 5 Where innovation begins we start with the customer and work backwards © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 6 User Manual Working Backwards is a process FAQ Use it to get clarity, not to document what Press you’ve already decided to do. Release Customer © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 7 We read, discuss, debate and ask questions. Stubborn on the Vision but flexible on the details © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 9 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 10 Just Walk Out Technology Combination of computer vision, sensor fusion, and deep learning Machine learning understands in- store and purchase patterns Systems see which items have been taken or returned #Expo18NHS © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 11 Willingness to be Misunderstood for a long period of time © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 12 Experiment early & frequently © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 13 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 14 67 Price Reductions (since ‘06) 1,430 New Services and Features introduced in FY 17 Millions of Monthly Active Customers © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 15 Innovation manifested across many domains… Drone Development Prime Video Kindle Reader In-house Entertainment Grocery Delivery Advanced Shopping Cloud Computing Home Automation © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 16 #Expo18NHS Today’s Conversation Unlocking healthcare innovation ▪ How does Amazon approach innovation? ▪ A look at healthcare innovation on AWS ▪ NHS Digital – Cloud policy and usage ▪ AI/ML What is it and how to use it for healthcare ▪ NHS Business Services Authority – AI in use © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 17 NHS Digital Cloud Guidance https://digital.nhs.uk/Offshoring-and-the-use-of-public-cloud-services “NHS and Social care providers may use cloud computing services for NHS data. Data must only be hosted within the UK - European Economic Area (EEA), a country deemed adequate by the European Commission, or in the US where covered by Privacy Shield. NHS Digital has provided some detailed guidance documents to support health and social care organisations.” © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 18 Trends Population Health Digital Innovation Interoperability Security National Scale New interaction Data Sets across Improved security Analytics models sectors postures New requirement to Democratised AI services The need to process and Security is always job zero. analyse data sets with the allow for streamlined and collate data sets from Moving data sets to the capability to identify automated patient different sources including, cloud offers an opportunity determinants at national interactions NHS, LG, Nat Sec and even to review and implement scales. private. new global scale security tooling. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 19 AWS Support for Clinical and Population Health Analytics ▪ AWS lowers the barriers for healthcare organizations to perform population and clinical analytics. ▪ Dynamically scale analytics applications up and down, and dramatically lower the cost of using data science to help patients. Data sent to the Provision a scalable, big Apply machine learning, Archive long-term in AWS cloud data framework and related artificial intelligence, Amazon Glacier for a very databases visualization, and analytics low cost per GB © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 20 Internet of Things (IoT) in Healthcare Mobile Health Wearable Monitors Smart Medical Devices Applications From wrist bands that track health Pacemakers, smart pills, and other Patients now have real-time access to indicators to delivery devices for insulin devices that are implanted inside the their own health records and can directly and drugs, wearables have become an body can help doctors monitor and engage with their own treatment plans. invaluable part of the healthcare provider maintain health issues and possibly toolkit. prevent invasive treatments. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 21 Artificial Intelligence and Machine Learning in Healthcare Data Analysis Clinical Decision Support Personalized Medicine Genomic sequencing opens a window into Medical data is growing rapidly yet its From predicting complications to drug better understanding of diseases and scale, variety and messy nature make it adherence, from triaging medical images to patients’ reactions to medications. machine difficult to analyze. Machine learning can analyzing patient voice sentiment, machine learning can guide a tailored therapeutic help uncover valuable insights that lead learning can be a powerful companion to approach for a patient’s unique to cost savings and better patient care. the care team. characteristics. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 22 AWS Support for Clinical Information Systems ▪ AWS brings unprecedented levels of scalability, flexibility, and agility. ▪ Automatic software and security updates. Data sent to the Provision a scalable, big Apply machine learning, Archive long-term in AWS cloud data framework and related artificial intelligence, Amazon Glacier for a very databases visualization, and analytics low cost per GB © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 23 Cloud model for shared data sets and collaboration Clinical Data Set Sensor Data Patient Data Device Data | Industry Data Mobile Data | “Citizen Sensors” Data Analytics Real Time | Data Warehousing Machine Learning Shared Private Data Secure Data Collaboration © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 24 AWS Healthcare Customers © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 25 Secure, Compliant Healthcare on AWS Over 50 global Benefit from AWS Security infrastructure Leverage security compliance industry leading built to satisfy military, enhancements from certifications and security teams 24/7, global banks, and other 1M+ customer accreditations 365 days a year high-sensitivity experiences organizations © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 26 Key certifications / reports for UK Healthcare AWS Connectivity options include N3/HSCN PSN A/P & JANET. IGToolkit Level 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 27 NHS Digital – Cloud First – first year executive sponsorship consolidated billing quick wins Establish cap-ex vs op-ex confidence Cloud Strategy Cost tagging policy centre of excellence Management Control and cloud architectures landing zone Governance IAAS / PAAS / SAAS codify good practice Migration Planning understand lock-in IAM foundation protect data at rest and in transit traceability IG & Security shared responsibility DPIA, SLSD, Cloud Risk Framework automation #Expo18NHS © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 28 #Expo18NHS Today’s Conversation Unlocking healthcare innovation ▪ How does Amazon approach innovation? ▪ A look at healthcare innovation on AWS ▪ NHS Digital – Cloud policy and usage ▪ AI/ML What is it and how to use it for healthcare ▪ NHS Business Services Authority – AI in use © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 29 The Amazon AI/ML Stack APPLICATION SERVICES Rekognition Transcribe Translate Polly Comprehend Lex PLATFORM SERVICES Amazon SageMaker AWS DeepLens FRAMEWORKS & INTERFACES AWS Deep Learning AMIs Apache Caffe2 CNTK PyTorch TensorFlow Torch Keras Gluon MXNet INFRASTRUCTURE GPU (P3) CPU IoT & Edge Mobile © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 30 Stanford University- Deep Learning “Before AWS, we couldn’t even attempt these projects….AWS makes research liberating.” Jason Su Stanford University Student • Early detection of diabetic complications • Leading cause of blindness in adults • Catch it early enough; prevented 90% of time © 2018, Amazon Web Services, Inc. or its
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