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

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

Jun 02, 2023 156 likes •408 views

Intelligent Health Applications Require First-class Interoperability Steve Pisani P Senior Sales Engineer Agenda Introduction Digital Transformation Overview Understanding Healthcare DX Challenges Intelligent integration

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P

Steve Pisani

Senior Sales Engineer

Intelligent Health Applications Require First-class Interoperability

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Agenda

  • Introduction
  • Digital Transformation Overview
  • Understanding Healthcare DX Challenges
  • Intelligent integration
  • Intelligent Health Applications Use Case
  • Q & A
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  • Global leader in healthcare data

management and analytics

  • 7,000,000+ production licenses
  • 150,000 deployments in 100+ countries
  • 1,200 application partners
  • Unparalleled performance, scalability,

interoperability, and reliability

100+

Countries

>1B

Health Records

2/3

US Patient Records

#1

KLAS EHR-neutral HIE What we do

Cambridge HQ

About InterSystems

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Unifying siloed data to create comprehensive, connected health records using

  • ur comprehensive, proven model informed by providers, payers, HIEs

Surfacing the right information at the right time in the right format with out-

  • f-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

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We power digital transformation worldwide for

Software Partners Government Health Regional, State, National HIE Healthcare Organizations

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Agenda

  • Introduction
  • Digital Transformation Overview
  • Understanding Healthcare DX Challenges
  • Intelligent integration
  • Intelligent Health Applications Use Case
  • Q & A
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Digital Disruptors are changing the face of industry

Source: IDC Directions 2019

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And we are just getting started 2020 2022 2025 2027

25% 20% 35% 50%>

25% of HDOs with $1B of net revenue will be providing real-time genomic-based decision support at the time of prescription writing 20% of the population with chronic conditions will rely on virtual health assistants for health and wellness management 35% of all care in the U.S. will be delivered virtually The majority of interactions will be virtual or remote and the majority of those will involve AI applications

Source: Gartner 2018

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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..”

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Why Digital Transformation Initiatives Fail

Source: AT Kearney C-Suite Survey

30% 25% 20% 13% 6% 4% 2%

Technology / Legacy Corporate Culture Lack of Leadership Internal Issues / "Red Tape" Lack of Financing Accessibility to External Resources Other

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Accelerating Digital Transformation

Data & Integration Agile Processes Intelligent Processes

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Agenda

  • Introduction
  • Digital Transformation Overview
  • Understanding Healthcare DX Challenges
  • Intelligent integration
  • Intelligent Health Applications Use Case
  • Q & A
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What’s behind digital transformation in healthcare?

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Decentralized Health Ecosystem Information Intensity Pervasive Disruption

What’s behind digital transformation in healthcare?

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Agenda

  • Introduction
  • Digital Transformation Overview
  • Understanding Healthcare DX Challenges
  • Intelligent integration
  • Intelligent Health Applications Use Case
  • Q & A
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How to accelerate digital transformation in healthcare

Data Platform Operating System Solution Solution Solution Solution Do it Yourself Operating System

A well engineered, complete platform reduces complexity

Technical Complexity Is the Enemy of Innovation

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Healthcare Data Platform Design Philosophy

R I S I

Interoperable Scalable Reliable Intuitive

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Healthcare Interoperability

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Agenda

  • Introduction
  • Digital Transformation Overview
  • Understanding Healthcare DX Challenges
  • Intelligent integration
  • Intelligent Health Applications Use Case
  • Q & A
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HBI Solutions

Applied machine learning Improving risk and resource management

Better Manage Patients Better Manage Populations

Risk and Resource Utilization Predictions

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Predictive Analytics to Inform Care

Risk Models

Training Data

Individual Care Management Cohort Management

Risk prediction/stratification guides patient care before adverse events occur for chronic and high-risk patients Aggregation and BigData Service Integration Analytics Advanced Analytics

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Readmission Prevention

Health Information System Intelligent Integration Enterprise Open Data Open Analytics

Clerk Application Engineer Data Engineer Data Scientist Workflow Alerting Orchestration Cluster App UI

Data SOAP Risk SOAP

HL7 TCP/IP CDA IHE FHIR REST Inbox Care team REST

Spark Connector Other Data Sources

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Agenda

  • Introduction
  • Digital Transformation Overview
  • Understanding Healthcare DX Challenges
  • Intelligent integration
  • Intelligent Health Applications Use Case
  • Q & A
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Steve Pisani

Steve.pisani@intersystem.com

Thank You