Emerging Frontier in Health Care Delivery Conversational AI & - PowerPoint PPT Presentation

Emerging Frontier in Health Care Delivery Conversational AI & Virtual Voice Assistants AIMed JAI NAHAR, MD, MBA 11-14 Dec. 2019 Associate Professor of Pediatrics George Washington University School of Medicine Laguna Niguel Attending, Division of Cardiology California Children’s National Hospital, Washington DC

Agenda Conversational AI 1. Introductory concepts 2. History: How did we reach here? 3. Current State of Conversational AI 4. Potential uses: The Impact 5. Challenges in Adoption 6. Future Directions

Audience Question How many of you have used a voice enabled device for your personal health care? Give some examples?

Voice Augmented World Health Care Health Care Conversational AI Voice AI

Introductory Concepts Conversational AI : Technology which allows Human Machine interaction through the use of Natural conversation, utilizing voice user interface and Machine Intelligence. Synergistic Convergence Human Machine Conversation NLP ML, Voice Deep Technology Learning Conversational AI

Conversational AI Natural Conversation using Machine intelligence Speech/Voice 1 Recognition Perception/Sense Machine Learning Natural Language Natural 2 4 processing 3 Language Understanding Learn from past Action/Execution actions/experiences Generation Comprehension

History: Human Computer Interaction VUI Mobile Voice: • Natural mode of communication WEB • Convenient www • Scalable • Rich Content GUI • Metadata Present 2000s 1990s 1980s

Audience Trivia: To which wave does CAI belong? Four Waves of AI: Dr. Kai-Fu Lee Dr. Kai-Fu Lee, CEO of Sinovation Ventures, "The 4 Waves of Artificial Intelligence Application". https://www.youtube.com/watch?v=VHuNWDDcEHY

Audience Trivia Answer Four Waves of AI: Dr. Kai-Fu Lee Conversational A I Dr. Kai-Fu Lee, CEO of Sinovation Ventures, "The 4 Waves of Artificial Intelligence Application". https://www.youtube.com/watch?v=VHuNWDDcEHY

Current State Conversational AI Ecosystem Smart Speakers Ambient Voice Smart Clinical Displays Intelligence Ambient VUI Conversational AI Sensors Smart voice AI Virtual enabled Assistants devices Chatbots

Putting Them Together Conversational Health Care AI delivery

Conversational AI in Health Care Delivery • Use it to ease our professional life? • Augment care we provide? • Understand and overcome the challenges in adoption? • Foster its development as a community?

Conversational AI touchpoints in Health Care Delivery Decreasing Physician Burnout: POC Tasks 1. EHR documentation, navigation Easing the Hospital Journey 2. Clinical Decision Support 3. Foreign Language Outpatient Interpretation 1. Patient Education, inpatient care clinic navigation 2. Discharge preparation 3. Clinical Decision Support 4. Operating suites: Hands free clinical documentation and information retrieval Home Health In Optimization Conversational Home Hospital AI 1. Appointment Navigation 2. Patient Education 3. Patient Engagement 4. Medication management Bridging the Care 5. Chronic care management: bridging the care gap Gap 1. Mobile health units/EMS 2. Patient Education On the 3. Care Continuum Go 4. Access to care providers 5. Access to Information

AI Pipeline : Conversational Agent Back end NLU: Comprehension engine Input Front Comprehension, Speech Intent End understanding Recognition What was the Ejection Dialogue Fraction on last Echocardiogram management ? RNN ASR: Speech to LSTM Conversational Text Platform: Cardiologist VUI (voice EMR enabled device) Data bases 40% Execution/ TTS: Text to Fulfillment speech engine Engine Output End User interaction NLG: Text to Speech Converts text to voice wave form

ACI: Ambient Clinical Intelligence Comprehensive Voice enabled AI solution • Decreases Physician administrative burden User Initiated Virtual • Decreases Physician burnout Assistant More attention to the patient • Ambient Automated Sensing Documentation Increases patient satisfaction, better outcome • Technology service ACI https://www.youtube.com/watch?time_continue=4&v=Fj3v8QQU0aA&feature=emb_logo

Real World Applications HIPAA compliant Alexa Health care skills Pharmacy Digital Alexa Health Health Insurance company Health care system

Livongo for Diabetes program HIPAA complaint Alexa Health care skill Task: Information exchange, behavior modification, Right information • Rational decision making Right time • Technology: Alexa Guides behavior and rational decision making • Environment: Patient’s home https://www.youtube.com/watch?v=ShCPsCcy_TM

My Children’s Enhanced Recovery after surgery (ERAS) Boston Children's Hospital Task: Information exchange • Patient facing Technology: Alexa • Post operative recovery update Environment: • Post Op appointment information Patient’s home https://www.voice.health/news/my-childrens-enhanced-recovery-after- surgery-eras-alexa-skill

Audience Question What are some of the challenges in using CAI solutions for health care?

Challenges in Conversational AI Adoption ? • Privacy • Security • Accuracy • Reliability • Trust • Ethics • Design and smooth workflow integration

Future Directions: Humanizing the Virtual Assistants • Context specific Empathy • Cognitive capabilities • Proactive versus reactive Assistants

Conclusion CAI: Key Takeaways 1 3 Use case selection UX 2 4 Co-Development Privacy, Security

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