using a.i. to identify the optimal destination for an ... · the optimal destination for an...

Using A.I. to identify

the optimal destination

for an emergency

medical transport

OWN THE “PREHOSPITAL PIPES”

BETTER DATA, FASTER

Jonathon S. Feit, MBA, MA

Co-Founder & Chief Executive

[email protected]

(650) 648-ePCR [3727]

During an emergency, what is it worth

for Responders to know you, your

loved ones, and your colleagues—

even before they reach the scene?

PROPRIETARY & CONFIDENTIAL – DO NOT DISTRIBUTE. © 2018 by Beyond Lucid Technologies, Inc.

Event

Horizon

Micro level:

Patient Care

Macro level:

Infrastructure

Who / What Moves Where (& Why) Post-Disaster?

Real-Time Prehospital

Data Analytics and

Standards-Based

Information sharing

Imagine what “Twilio for EMS” might look like

Micro level:

Patient Care

Macro level:

Infrastructure

Imagine what “Twilio for EMS” might look like

Who / What Moves Where (& Why) Post-Disaster?

Most people outside the Fire & EMS industry think

of them either as unidirectional “scoop and run” or

as more informed about the patient than they are.

INCIDENT SCENE → EMERGENCY RESPONSE → CARE FACILITIES → QUALITY / ANALYTICS

• CAD/Dispatch • EMS and Fire• Military transports

(ground, sea, air)

• Med directionand nursing

• Hospitals

• Training • Analytics• Post-acute care

(SaaS)

(SaaS)


Talbot R and Bleetman, A. Retention of information by emergency department staff at ambulance

handover: do standardised approaches work? Emerg Med J. 2007 Aug; 24(8): 539–542.

TRIAGE TEAM

ACTIVATION

FIRST AID, HOSPITAL SELECTION, TRANSPORT,

TRIAGE TEAM ACTIVATION AND PRE-REGISTRATION

INFORMED TREATMENTDIAGNOSIS

Hospital ArrivalPatient Pick-up

DIAGNOSIS &

TREATMENTFIRST AID

DESTINATION

SELECTION TRANSPORT REGISTRATION

CAD

~ 50% of patient data lost at each prehospital handoff PR

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What if data from the scene, or from the truck, could

reach the hospital even before the patient does?

URGENT CLINICAL, FINANCIAL AND OPERATIONAL PROBLEM WORTH SOLVING

A.I. in EMS: Connects the Prehospital Ecosystem

Heart attack leads to traumatic car crash,

which results in full-body burns. Which of

several equidistant hospitals is the optimal

transport destination?

IP: Dynamic Patient Routing Algorithm

Case #1: Pittsburgh, PA

Event

Horizon

Burn?

Peds

only?

Case #2: Gilroy, CA and Las Vegas


“Patients-as-packages”: Who is being

taken where? Today: Triage, positive ID,

EHR lookup all occur on patient arrival.

Instead: Shift to pre-ED arrival readiness.

IP: Prehospital Health Info Exchange

A.I. in EMS: Connects the Prehospital Ecosystem

Biometrics for Patient ID and

Matching. Digital triage tags.

• Finger, toe or eye.

• Reduced liability

• Shared confidence

• Stopgaps let hospitals gain

comfort with data quality

“Dynamic Patient Routing” Algos.

Patient Health Information Filters

Protect HIEs from Bad EMS Data

• Because Fire & EMS are the only

healthcare providers that must

accommodate unknown patients


EMS Director Mag. Q3 2019

PROPRIETARY & CONFIDENTIAL – DO NOT DISTRIBUTE. © 2018 by Beyond Lucid Technologies, Inc.PROPRIETARY & CONFIDENTIAL – DO NOT DISTRIBUTE. © 2018 by Beyond Lucid Technologies, Inc.

U.S. Patent Application Serial No. 15/462,186

• What happened to occupants?

• Who was involved in the crash?

• Where do they need to go next?

• Who else needs to be notified?

• Health context of the occupants?

Multi-$B Market and Europe is well ahead of the U.S.

IMAGINE…Knowing who was involved in a crash

PROPRIETARY & CONFIDENTIAL – DO NOT DISTRIBUTE. © 2018 by Beyond Lucid Technologies, Inc.PROPRIETARY & CONFIDENTIAL – DO NOT DISTRIBUTE. © 2018 by Beyond Lucid Technologies, Inc.

IMAGINE…Knowing who was involved in a crash

• Airbag

• Location

• Velocity of Impact

• Nothing about the people involved

Standards that Make “EMS 2050” a Reality…Today

Patient record

Real-time data transfer

Patient tracking

“Connected”

Emergency

Incident

Response

Capture

Use

Lookup


• Emergency responders

• Medical triage teams

• Patient’s family

• Nursing homes

• Company managers

• Legal-political-regulatory

• Public affairs

“S.V.’s Emergency Medical Technology Experts.”


Jonathon Feit, MBA, MA• Co-Founder & Chief Executive

• Columnist for the Journal of EMS;

frequent contributor to EMS World

• Prior entrepreneurship experience and

MBA Intern, White House OMB

• Advocate for founders w/disabilities

Christian Witt, MBA• Co-Founder / President & CTO

• Developed helicopter wire detection A.I.,

and autonomous vehicles at Boeing

• MBA, Carnegie Mellon University

Dave Saylor, MEng• Chief Engineer & Head of Support

• Widely regarded as one of the foremost

experts on prehospital data in USA

• Double engineering degrees, MIT

Michael Onkst, NREMT-P,

CCEMT-P, FP-C

• Dir. Training & Process Improvement

• Creator of the Air Methods Multi-Disciplinary

Application (TAMMA)

• 15+ years Helicopter Critical Care

Thank you!

OWN THE “PREHOSPITAL PIPES”

BETTER DATA, FASTER

Jonathon S. Feit, MBA, MA

Co-Founder & Chief Executive

[email protected]

(650) 648-ePCR [3727]

Founded May 2009

HQ: Concord, CA

using a.i. to identify the optimal destination for an ... · the optimal destination for an...

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