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Microsoft Azure Iot Suite Microsoft AZURE IoT Connect 2017 #IoTconnect ¡Da vida a tus cosas y aprovecha todo el poder de tus datos! Fernando Moreno – Digital Advisor - Microsoft Connecting technology, administration, and care Healthcare Systems Administration and Care Compliant Tools Resources Community Systems Asset Risk Secure mobile Data, statistics, Claims Education, Electronic Clinicians Providers Patients and apps management management devices metrics, and billing research, records and reports and training Integrated health transformation pillars • Integrate systems that effectively bridge care and patient • Track data and communications to enable accountable care Digital • Empower caregiver and patient to help Health improve outcomes Integrate. Track. Empower. Connecting patients with healthcare Laboratory Video reporting Hospitalization and testing and diagnoses and hospice Test and laboratory alerts Outpatient care Therapy and Patient rehabilitation portals Health Digital history and Patients records Healthcare Personal device access Preventative care Office and in-home visit Electronic health Case scheduling and medical Regulatory compliance management records and risk management Deliver actionable health insights Patient and health data Predictive health queries and reports modeling and visualization Identification of Alignment of health and claims patient data with Aggregate Analyze patterns health benchmarks Compilation Visualization and statistics Data source Patient data identification alignment and and integration interpretation Apply Insights Improved Dynamic, data-supported validated healthcare decisions patient insights Predictive health analytics, workflow management, and best practices Customer Use Case | Remote Patient Monitoring DT Pillars: Engage Customers Business Process: Service Delivery Sensors Increase accuracy Use Case Overview Centrally located data Remote Patient Monitoring involves following people with chronic Activity Trackers Reduce cost of care diseases and monitoring all data that comes from the patients using a Customize care plan variety of devices. Analysis of data helps detecting anomaly situations Smartphones and taking preventive actions before problem becomes crisis. Provide proactive care Advanced Analytics EHR Data Remote Patient Monitoring helps create care plans and take corrective Reduce hospital admissions actions that prevent hospital admissions. Patient Surveys Automate alerts DATA INTELLIGENCE ACTION Business Drivers Digital Capabilities Business Outcomes Get Started » Meeting increased demand due to » Customer data management and » Reduced hospital admissions and COO Book of Dreams growing and aging population analytics readmissions Healthcare Book of Dreams » Shifting from reactive to proactive » Complete hybrid cloud approach » Enhanced patient care and safety Patient Engagement Playbook health system providing health organizations with » Physicians providing optimal care with Healthcare Digital Maturity Model » Responding to individual’s health system flexibility actionable data Cortana Intelligence Suite Essentials status in real time » Robust data protection practices while » Preventive action for patient before Customer Stories » Reducing hospitalization of people with retaining full ownership & control of problem becomes crisis sensitive data chronic diseases » View to patient’s personalized care » Monitoring people at home instead in » Address wide range of international, plan country & industry-specific regulatory an elderly or care home Reduced emergency room visits requirements » Predictive Human Telemetry The American Heritage® Medical Dictionary Copyright © 2007, 2004 by Houghton Mifflin Company. Published by Houghton Mifflin Company Anywhere, anytime patient care Empowered care The solution securely connects to smartphones and devices such as blood pressure and glucose meters in patients’ homes, and integrates the data with a program prescribed by a Kaiser Permanente clinician. Real-Time Data Enhances patient care and safety through near-real-time, remote monitoring of vital signs and automated alerts Improving efficiency •Provides better insight into patient data, improving efficiency and workflow for nurses, dietitians and other staff. Rehabilitation Kinect Hololens Assisted Rehabilitation Experience The project aims to support remote rehabilitation scenarios, with the support of motion detection to track the quality of the exercises and to give the physician a way to figure out how the patient is performing Real-Time Data The Kinect recording is analyzed in near-real time and scored using Stream Analytics and Machine Learning Fastest recovery Continuous Improvement Training partner The Golf training solution is observing the body movement using Kinect and can analyzes and corrects your body motion throughout your swing. The trainer can predict the height and distance of the stroke and the development over time during several training sessions Real-Time Data The Kinect recording is analyzed in near-real time and scored using Stream Analytics and Machine Learning Improving efficiency Provides better golf statistic over time and have the ability to replay captured training session with an professional golf instructor to get recommendations on how to improve IoT Integrated Architecture Capture and analyze biometrics Connect and scale Analyze and act Integrate and transform with efficiency on new data business processes Analytics Device Registry Real-time Rules and Actions operating And systems more Dashboards & Visualization Accelerate time to value with preconfigured solutions Get started in minutes with Microsoft Band 2 Expand with other human biometrics devices and and one of the partner solutions build your own healthcare solution Highly visual for your real-time operational data Explore the near-real time capabilities Integrate with back-end systems Predictable Human Telemetry Framework Our approach to a remote monitoring project Imagine if you could monitor health of thousands of people located around the world without physically inspecting them. Or use Kinect and wearable sensors to accelerate rehabilitation or to improve performance of sports athletes. Establish Profile the Determine Categorize Define Operationalize 1 monitoring 2 devices 3 additional 4 the data 5 alerts and 6 the solution objectives involved solution actions and scale and components requirements Meet Dr Mark Mark is part of an ever aging workforce, looking after an ever aging group of people! Mark wants to help as many people as he can, of course, and is eager to use Predictive Human Telemetry to help more patients improve more over time. It’s a different way of working for sure, but his knowledge gets to help more people, and he likes that. Goals Help patient get better faster Help more patients in the same time Meet Sarah Sarah has lived a long and good life with her husband, Otto. They are both retired for 15 years and live a quiet but comfortable life at home. Sarah was recently diagnosed with COPD and low blood pressure. She is struggling to stop smoking, but is determined to do it, for her health, and for Otto. She is frail in general and needs extra oxygen a lot of the time. Goals Managing her condition Leading a better life in the time she has left Wears Oxygen wristband Blood pressure checker Microsoft Band Smart Phone with an Health app At-home blood pressure When her wristband notified her measurement on to attach her blood pressure Microsoft Band cuff to get a reading. ”The system speaks for me when I’m not with you”, Dr Mark explained to her. She trusts Dr Mark, even if she doesn’t trust technology just yet… The data is automatically collected and stored in her records. Sarah’s blood pressure has been lower than usual for several consecutive days. The system has identified a negative trend in Sarah’s blood pressure data, which triggers a notification. Thanks to machine learning, Dr Mark is able to monitor his patients even though they never leave their home. He is kept up to date on everyone’s status, and is able to identify potential problems and take action much sooner than he would otherwise have. Demo Remote health monitoring using Microsoft Band and Band Sensor Monitor Meet Teresa Teresa is an adventurous lady with a busy schedule but a lot of willpower and some discipline. She plays golf with more enthusiasm than skill, but wants to take the step up to competitive level. To do this she has the support of a personal trainer to create her exercising schedule, but she does most of the work on her own, independently. Well… she gets a little help from technology. Goals Get fit Qualify for the local golf competition finals Wears Microsoft Band Smart socks Teresa and her personal trainer (PT) set up an optimized training schedule together. The PT explains how everything will work, utilizing the mirror neurons, when she works out by herself. When she starts the system at home, she is automatically logged in to her profile, just by standing in front of the Kinect. When logged in, she can see all her exercises, her personal Making sure it’s you… profile. There is a lot of predictive data for each exercise. It will take a lot of time to get to her goal, clearly, even though she is helped by the mirror neuron stimuli, but Teresa is willing to invest in it. Mirror neurons Kinect She finds the appropriate exercise and watches the video. Her mirror neurons are activated, mimicking the motions in her brain, as she watches the instructor perform the exercise. Her brain learns to perform the motion,
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