2. Venture Capital backed ($5M raised)
About our company
Key leaders
Founded in 2013
18 employees
Venture Capital backed ($5M raised)
Offices in SF, London, and Singapore
Technology focused with deep clinical and design expertise
Adam Odessky
Dr. Ivana Schnur
Co-Founder / CEO
Co-Founder / Chief Medical
Ryan Connolly
Cathy Pearl
CTO
Director of UX

3. 5% of chronically ill patients consume over 50% healthcare costs
The problem?
5% of chronically ill patients consume
over 50% healthcare costs

4. Molly is an artificially intelligent virtual assistant and chatbot who acts as a medical companion and monitor for patients
Meet Molly.
speech recognition
images and video
text to speech
EHR integration
machine learning
device integration

5. Sensely in Action
Watch Sensely’s Chronic Care Remote Monitoring Process by clicking here.

6. How Sensely works – post discharge follow-up
Patient discharge and enrollment
Patient completes daily check-ins from mobile device
Nurse is immediately notified of high risk readings or behaviors
On-demand patient education and self-care advice
Telemedicine and direct appointment booking

7. How Sensely works – triage to contact center
Patient reports symptoms, medications, and ancillary information to Sensely. Sensely calculates risk and directs patients to 1 of 4 targets
Go to Emergency Room
Telemedicine visit with nurse
Schedule appointment with clinician
Self-help information

8. Support for many wearable devices
Molly can assist the patient with a variety of wireless bluetooth medical devices
Blood pressure cuff
Scale
Glucometer
Pedometer
Pulse oximeter
Device can be controlled by the app, with readings automatically recorded & sent to clinician

9. Conversational AI Platform for healthcare
Long term vision
Conversational AI Platform for healthcare
Patient engagement, healthcare companionship, and telemedicine AI expert systems in next generation human/computer interaction mediums

10. Industry leading Customers and Partners

11. Making Molly smarter MULTI-SENSORY INPUTS
Natural language interpretation
Button presses, pictures, audio
Vital sign readings from BT devices
Exercise and sleep data
Usage patterns

12. Project 1: Patient Insights
Why is the patient non compliant?
Is the patient’s exercise correlating with weight loss or general wellness?
Is the patient eating a healthy diet?
How’s the patients heart rate, weight, and blood pressure doing over time?
Is the patient doing special exercise like climbing floors, running, or biking?
How is the patient’s sleep quality and how does it compare to weight, blood pressure, exercise, etc..
How does this patient compare to other patients in similar categories
When are patients most likely to interact with the app
How are the patients’ mood and happiness levels compared to other metrics

13. Analysis of record in real time to produce insights
Project 1: Insight DB Framework
Creation and updates of personal patient record from existing data in real time
Check in times and conversation history
Personal and family history
Classification of speech data into record
Vital sign history
Exercise / sleep history
Analysis of record in real time to produce insights
Goal of Molly reporting a new insight to patient and clinician once a day

14. Project 2: Artificially Intelligent Health Assistant
I’d like to schedule a GP appointment between 3- 6 PM on Tuesday
I have a headache
and fever. What
should I do?
Are my lab
results ready?
Show me
my blood
pressure chart
Where is the nearest
pharmacy?
Tell me about
cancer
Avatar Interface
Chatbot Interface

15. AI Classification and Learning Engine Selection / Combination
Project 2: AI Health Assistant architecture
Patient Input
Picture
Voice
Health Device
Text Input
Button Response
Sense.ly
AI Classification and Learning Engine
Multimodal
Output
AI Engine
Selection / Combination 3.
Confidential and Proprietary

16. Awards and Recognitions
WIRED Healthcare Pitch
Winner, May 2016
Exponential Medicine
Best Startup Pitch, November 2015
IBM Watson Developer Challenge
Finalist, September 2014
American Heart Association
Judges Choice Winner, November 2014
Nuance mHealth App of the Month
May 2013
Allscripts Open API Challenge
Winner, 2013

17. Thank you!
@sense_ly