iot in healthcare - industrial internet consortium€¦ · iot in healthcare stan schneider, phd...

IoT in Healthcare

Stan Schneider, PhD

RTI CEO

IIC Vice Chair

©2018 Real-Time Innovations, Inc. Confidential.

Where is the Innovation Happening?

COMPLEX MEDICAL PRODUCTS/SYSTEMS

Medical Imaging Proton Beam Therapy

INTERNET OF MEDICAL THINGS

Patient Monitoring Infusion Pump Cardiac Monitoring Data Aggregation Other Clinical

MEDICAL ROBOTICS

©2019 Real-Time Innovations, Inc. & General Electric. Permission to distribute pdf unmodified granted.

RTI lives at the intersection of functional artificial intelligence and pervasive networkingSM

Syntactic Interoperability

Standards Based

Ease of Development

Regulatory Standards

Finely Grained

Plug In Architecture

Databus

No Single Point of Failure

QoS

IIoT Connectivity Value to the Healthcare/Medical Market

Interoperability Security Reliability

A data centric architecture securely allows data to be shared across multiple devices and multiple networks. Data availability provides the foundation for

AI optimization.

Latency

Throughput

Discovery

Performance

Medical Robotics


The Future of Healthcare is Robotic (Autonomous)

Trends Driving Innovation in Medical Robotics

Haptic FeedbackTeleoperation

Plug and Play Integration Enterprise Connectivity

©2017 Real-Time Innovations, Inc.

A Case Study - MiroSurge

Medical Imaging


Radiology Techniques and Equipment

Computed Tomography (CT) Magnetic Resonance Imaging (MRI)

X-RayUltrasoundPositron Emmission Tomography (PET)

Trends Driving Innovation in Medical Imaging

Real Time Diagnosis using AIHigher Resolution / 3D Images

Plug and Play Integration with Medical Devices Platform Approach / Enterprise Connectivity

Revolution®

"GE Healthcare chose RTI DDS because it can handle many classes of intelligent machines. DDS satisfies the demanding requirements of our devices and supports standardization on a single communications platform across product lines."

-- J Gustavo Perez, General Manager for MI&CT Engineering

CT Scanners Mix Processors, Networks, Intelligence


Image Store

Machine Domain

Scanner HMI

Machine Net

GantryServo

Machine Control (SRIO)

EmitterControl

DosageMonitor

ECG Sync

ScannerControl

PowerSystem

Patient Status

Image Domain

Image Databus

Image Generation

Scanner Data Acquisition

https://info.rti.com/hubfs/Collateral_2017/Customer_Snapshots/BK_Ultrasound_V5.pdf?t=1536169013927

https://info.rti.com/hubfs/Collateral_2017/Customer_Snapshots/BK_Ultrasound_V5.pdf?t=1536169013927

Databus

Disruption: Distributed Medical Imaging


Private cloud

Public cloud

Ensure Reliability for Complex Systems


• Mevion’s Proton-Beam Radiation Therapy system zaps tumors with accelerated protons

• The treatment must be continuous for 30-40 days; downtime endangers treatment success

• With RTI Connext DDS, Mevion’s PBRT delivers dependable treatment at low cost

First patient treated Dec 2013, Siteman Cancer Center, St. Louis

Internet of Medical Things


17.8%

25%

37%

The Current State of HealthcareIn the US today:

• Preventable medical errors in

hospitals are the 3rd highest

cause of death behind cancer

and heart disease.

• 200,000 – 400,000 deaths

• Lack of medical device

interoperability costs >$30B

to the healthcare system.

• 900 million elders age 60+

• 1.2 billion by 2025

• Estimated physician shortage

of >50,000 by 2025

US HEALTHCARE

SPENDINGAS SHARE OF GDP

ACTUAL 2018

PROJECTED 2050

PROJECTED 2025

Source: World Health Organization – McKinsey, Continua Alliance, AEI

http://journals.lww.com/journalpatientsafety/Fulltext/2013/09000/A_New,_Evidence_based_Estimate_of_Patient_Harms.2.aspx

Problem: Mistakes Kill


Hospital error is the 3rd leading cause of death in the US

“… the anesthesiologist forgot to resume ventilation after separation from cardiopulmonary bypass…

Every surgical team surveyed has experienced this error!

Solution: Smart Connected Patient Care


Databus

Supervisory Services

Patient MgmtDevice Mgmt

Systems HealthInteraction CheckingLogging

CDS Algorithm

#1

Lab Data

SPO2 CO2

PatientHx

Infusion Pump Settings

IV Pump Control

Infusion Pump Measured

Values

The Importance of Monitoring


Systems are About the Data

Intelligent Systems Need an Architecture that Effectively Shares Data


DDS is the standard that defines the data-centric databus

Design the System Around the Data


Application

Data

Application

Application

Application

MessagingRemote ObjectsClient/serverSOAs

Database

Data-centric storage and search of old data

Data-centric sharing and filtering

of future data

Databus

Why Does Data Centricity Matter?


Shared Global Data Space

DDS DataBus

“Data Everywhere” Sharing

“Data Any Place/Time/Flow” Decoupling

Application

Data

• Logically puts all data “inside” every application

• Apps read or write like local memory

• With full control over timing, reliability, filtering, security

Hospitals are dynamic


Shared Global Data Space

Data Centricity Makes Mobility Transparent


Application

Data

Application

Monitoring

DataDevice

Data

Algorithm

DataError Check

Data

Storage

Data

Hospital Networks Are Growing


Data Centricity Scales


Fog

Edge

IT/C

lou

d

vMobile

HIS PACS LIS

GATEWAY to Ward DatabusRoom Systems Apps

Database

Ward

Medical Device

System Apps

Clinical Apps

Medical Device

Imaging Device

Imaging Device

GATEWAY to Enterprise Databus

GATEWAY to Cloud

IT Systems/Enterprise Databus (DDS)

ADTEMR

Clinical Apps

Database

Patient Room, Operating Room or ICU Databus (DDS)

Data LakeSystems Apps

Ward Databus (DDS)

Un

ifie

d D

ata

Mo

del

Cloud Server

Redundant data routers connect data spaces

reliably & transparently

Perfect match to architecture: no code!

Important, “bolted on”, not enough

Data Centricity Allows Data Defense

• System edge• Host

– Machine/OS/Applications/Files

• Network transport– Layer 2-3 “pipe” security– Layer 4-5 “session” security


• DDS: Dataflow Security– Control application interaction– Secures the data itself; no API!– Independent of transport, OS, chip

Smart Machines Join the Care Team


http://www.rti.com/mk/webinars.html#GEHEALTHCARE

GE Healthcare’s smart distributed architecture will connect 300 types of devices with RTI software.

The Medical Industry Now Competes on Networking

http://www.rti.com/mk/webinars.html#GEHEALTHCARE

MD PnP (OpenICE Platform)

Example of collaborators

http://mdpnp.mgh.harvard.edu/

• Program established 2004 at Mass General

Hospital

• 3200 Sq. Ft Lab vendor-neutral for research on

achieving safe, secure interoperable medical

systems (standards, technologies, products).

• Clinical, biomed, computer science, and IT subject

matter experts

• Publish research to enable safe interoperability

• Research grants from DOD, NIH, NSF, DHS,

FDA/MITRE

• Multiple collaborative lab prototyping and public

demonstrations with industry, academia, and

government

• Developed OpenICE open-source interoperability

research platform www.openice.info

http://mdpnp.mgh.harvard.edu/

http://www.openice.info/

DocBox Platform

• Vision - Create an infrastructure to leverage data at motion and at

rest to improve, safety, efficiency and efficacy of care

• Simplified Infrastructure – Aggregate data in real-time; store,

analyze, and provide in standard format

• Enable Key Apps - Applications connect any time. Enables

visualization, automation, and real-time decision support

• Framework for Safety and Security - Shared infrastructure

enhances patient safety and cybersecurity

Clinicians Interact

via Apps

Connects and

Standardizes

Device Data

Data is sent to Big

Data Respository

Medical

Device 3

ADT

EHR

Lab

Pharmacy

DocBox

Medical

Device 2

Medical

Device 1

3rd Party

AppApp 1 App 2 New

App

The Future of Medicine

iot in healthcare - industrial internet consortium€¦ · iot in healthcare stan schneider, phd...

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