ai in healthcare
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AI in Healthcare Lorenzo.Pengo@microsoft.com CEE HQ Health Lead - PowerPoint PPT Presentation

AI in Healthcare Lorenzo.Pengo@microsoft.com CEE HQ Health Lead Aka.ms/health RISING COST OF GROWING, AGING MORE EDUCATED DRUGS GLOBAL POPULATION CONSUMERS CARE CONTINUITY CYBERATTACKS Remote Patient Monitoring STAFFING SHORTAGES


  1. AI in Healthcare Lorenzo.Pengo@microsoft.com CEE HQ Health Lead Aka.ms/health

  2. RISING COST OF GROWING, AGING MORE EDUCATED DRUGS GLOBAL POPULATION CONSUMERS CARE CONTINUITY CYBERATTACKS Remote Patient Monitoring STAFFING SHORTAGES Social Care Analytics RISE OF CHRONIC Platforms Coordination DISEASE Health Opportunities Wearables Internet of Things Technology Drivers Cloud and Mobile Advanced Patient Preventative Analytics Engagement Healthcare Unified Natural AI & Machine Communications Virtual PUBLIC NATURAL Interfaces Learning Health HEALTH DISASTERS AGING, AT- THREATS CAPACITY INFRASTRUCTURE DISEASE BUDGETARY OUTBREAKS Bots PRESSURES

  3. Digital Transformation - Changing of Care Delivery Model Between visit interactions Remote Monitoring, Digital IoT, Agents, Analytics, Life Care & Health Without Walls Virtual care Digital Video consultations, Work Secure messaging, Booking Care Within Walls Source: RBC Capital Markets Source: PwC Health Research Insights

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  5. T elehe ehealth lth, T elemedic medicine ine & & Virtual ual Care e Defi fined ned T eleh leheal ealth: : The use of electronic information and telecommunications technologies to support long-distance clinical health care, patient and professional health-related education, public health and health administration. Health Resource and Services Administration T elemedici lemedicine : The use of medical information exchanged from one site to another via electronic communications to improve a patient’s clinical health status. American Telemedicine Association Virtual tual Care : Patient care encounters employing telemedicine technologies. The Advisory Board

  6. Health Analytics Convergence zones : setting the ground for AI and Cloud Wearable Data, Geo-environmental, weather patterns, social services data etc. EMRs, diagnostic images Claims, revenue cycle Clinical trials, genomics Purchasing patterns, social media, utilization of social services data

  7. Democratizing AI - http://democratizing-ai-in-health.azurewebsites.net/

  8. AI in Health Use Case Taxonomy Population Predictive Health Care Guidance Behavior Medical Analytics Image Intelligence Clinical Analytics: Transform data into prescriptive insights Data Throughput Readmissions & AI Management Management Operational Analytics Actionable insights to optimize performance Staffing Cost Management Management Claims Management

  9. Microsoft Azure Azure – A Perfect Tool For Implementing Intellilgent Algorithms For Biomedical Signal Analysis in ECG CASE STUDY “ We were looking for the best solutions for biomedical signals analysis. Microsoft Azure allowed us to overcome all difficulties, opened new opportunities, and proved to be safe enabler for medical software. ” – Mateusz Kierepka, CEO, MedApp S.A. SITUATION • MedApp has more than 20 different algorithms which work on real-time recorded Electocardiography (ECG) MICROSOFT AZURE ISV: medical examinations. They have already prepared database for receiving a lot of examinations in one time MedApp S.A. (sourced from different patients). After analysis performed by algorithms, they are sent to proper specialists. Currently, the examination and interpretation deal with ECG examiantions. We undergo final tests for blood WEB SITE : www.medapp.pl pressure and glucose level analysis to be launched soon. LOCATION : Cracow, Poland SOLUTION • ORG SIZE : 35 employees MedApp needed to find a reliable solution, and Azure looks like fulfiled all of MICROSOFT AZURE ISV PROFILE : their requirements. Using MQ Telemetry Transport for sending exams in real MedApp is telemedical software provider. time without worrying about overloading was exactly what we needed and Application is based on Azure technology and due Azure flexibility it ensures smooth operations. work with compatible apps on smartphones, To keep highest security standars MedAPp performed several security tests to tablets laptops and PC’s. There are three types for unparalleled solution safety. Microsoft team supported MedApp with all of applications dedicated for patients, the cloud knowledge, to ensure that medical database can be set up on physicians and for every employee of Medical Azure with full legal compliance facility. BENEFITS • MedApp is one of the most dynamic healthcare start-ups. It is crucially important to rely on safety, set up easiness and cost effectiveness, which Microsoft Azure fulfills. Go-To-Market Services

  10. Conversational AI for healthcare services Health chatbot service enables organizations to create their own bots to extend real-time answers to customers/patients ✓ HIPAA and ISO compliant system ✓ Built-in language understanding models ✓ Credible triage protocols and medical content Determine benefits Triage symptoms, Proactive patient eligibility and costs find appropriate care engagement to drive or an ER nearby of new plan Rx adherence enrollees

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  12. Addenbrooke’s hospital, Cambridge InnerEye Assistive AI for Cancer Treatment Digital Imaging and Pattern Recognition via Machine Learning Cloud technology that can measure tumors accurately in 3D from normal Computerized T omography (CT) scans. Dr Raj Jena MD MRCP FRCR Honorary Consultant Clinical Oncologist & Lead Clinician for Stereotactic Radiosurgery Cambridge University Hospitals http://www.bbc.co.uk/news/technology-34210351

  13. People will only use technology they can trust Brad Smith President and Chief Legal Officer Microsoft https://news.microsoft.com/futurecomputed/ BLOG : https://blogs.microsoft.com/blog/2018/01/17/future-computed-artificial-intelligence-role- society/

  14. Thank you

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