Intelligent Health Applications Require First-class Interoperability - PowerPoint PPT Presentation

Intelligent Health Applications Require First-class Interoperability Steve Pisani P Senior Sales Engineer

Agenda  Introduction  Digital Transformation Overview  Understanding Healthcare DX Challenges  Intelligent integration  Intelligent Health Applications Use Case  Q & A

About InterSystems  Global leader in healthcare data management and analytics Cambridge HQ  7,000,000+ production licenses  150,000 deployments in 100+ countries  1,200 application partners  Unparalleled performance, scalability, What we do interoperability, and reliability 100+ >1B 2/3 #1 Countries Health Records US Patient Records KLAS EHR-neutral HIE

Unifying siloed data to create comprehensive, connected health records using our comprehensive, proven model informed by providers, payers, HIEs Surfacing the right information at the right time in the right format with out- of-the-box capabilities for analytics, identity management, engagement and integration Delivering a sustainable platform for rapid innovation for massively scalable & interoperable data management built for health information & standards

We power digital transformation worldwide for Software Partners Government Health Healthcare Organizations Regional, State, National HIE

Agenda  Introduction  Digital Transformation Overview  Understanding Healthcare DX Challenges  Intelligent integration  Intelligent Health Applications Use Case  Q & A

Digital Disruptors are changing the face of industry Source: IDC Directions 2019

And we are just getting started 25% 20% 35% 50%> 2020 2022 2025 2027 25% of HDOs with $1B of The majority of 20% of the population 35% of all care in net revenue will be interactions will be with chronic conditions the U.S. will be providing real-time virtual or remote will rely on virtual delivered virtually genomic-based decision and the majority of health assistants for support at the time of those will involve AI health and wellness prescription writing applications management Source: Gartner 2018

Thoughts on Digital Transformation: McKinsey: … some leaders may assume that they have time or they can proceed cautiously. This assumption is mistaken. In less than a decade, new digital entrants have seized 17% [of revenue] on average, and own 47% of digital revenue. Andy Grove, Intel: ”Only the paranoid survive..”

Why Digital Transformation Initiatives Fail 30% 25% 20% 13% 6% 4% 2% Technology / Corporate Culture Lack of Leadership Internal Issues / Lack of Financing Accessibility to Other Legacy "Red Tape" External Resources Source: AT Kearney C-Suite Survey

Accelerating Digital Transformation Data & Integration Agile Processes Intelligent Processes

Agenda  Introduction  Digital Transformation Overview  Understanding Healthcare DX Challenges  Intelligent integration  Intelligent Health Applications Use Case  Q & A

What’s behind digital transformation in healthcare?

What’s behind digital transformation in healthcare? Decentralized Health Information Pervasive Disruption Ecosystem Intensity

Agenda  Introduction  Digital Transformation Overview  Understanding Healthcare DX Challenges  Intelligent integration  Intelligent Health Applications Use Case  Q & A

How to accelerate digital transformation in healthcare Technical Complexity Is the Enemy of Innovation A well engineered, complete platform reduces complexity Solution Solution Solution Solution Do it Yourself Data Platform Operating System Operating System

Healthcare Data Platform Design Philosophy Interoperable Reliable I R I S Intuitive Scalable

Healthcare Interoperability

Agenda  Introduction  Digital Transformation Overview  Understanding Healthcare DX Challenges  Intelligent integration  Intelligent Health Applications Use Case  Q & A

HBI Solutions Better Manage Patients Risk and Resource Utilization Predictions Better Manage Populations Applied machine learning Improving risk and resource management

Predictive Analytics to Inform Care Cohort Management Risk Models Individual Training Data Care Management Risk prediction/stratification guides patient care before adverse events occur for chronic and high-risk patients Service Analytics Advanced Aggregation Integration and BigData Analytics

Readmission Prevention Enterprise Intelligent Health Information Open Data Integration Open Analytics System Data Engineer Clerk Application Engineer Data Scientist Data CDA SOAP Orchestration IHE Spark Alerting Connector REST Risk Workflow SOAP HL7 TCP/IP App UI Cluster FHIR Other Data Sources REST Care team Inbox

Agenda  Introduction  Digital Transformation Overview  Understanding Healthcare DX Challenges  Intelligent integration  Intelligent Health Applications Use Case  Q & A

Thank You Steve Pisani Steve.pisani@intersystem.com