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A Dozen 'Startup Health' Start Ups
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Transcript of A Dozen 'Startup Health' Start Ups
STARTUP HEALTH showcase
Cleveland Clinic Innovations (26th Oct)
@garymonk 2 November 2015
Introduction
• 12 ‘Startup Health’ Startups were showcased at Cleveland Clinic innovations
• Each were given just 1 minute to present
• An overview of the 12 startups follows
BABYSCRIPTS
For obstetrics practices that want to improve clinical outcomes. Remote monitors patient in-between visits
• Combines clinical care with a mobile solution in prenatal care market
• Business model. SaaS business, via group providers on a fee for patient basis
LifeBio
For senior care and health care providers/payers that struggle to see patients holistically, beyond just their physical needs
• Captures patient biographical data via app and web platforms
• Aims to improve patient/ clinical relationships, reduce loneliness and help fulfill Medicare requirements related to mental health
• Business model: Saas business, revenue from care providers / caregivers / consumers on a licensing basis
AB PATHFINDER
For autism therapy centers that lack real time insigths and control over therapy delivery
• “one stop shop” for in-depth data collection and outcomes measures
• Live in over 122 therapy centers & 6000+ patients
• Business model: Saas, revune from therapy centers on a subscription basis
caremerge
For healthcare providers and payers who face increasing risk in tracking patients’ wellbeing into post-acute care
• Allows all stakeholders to get relevant automated alerts and intervene in a timely manner for improved outcomes
• Allows creation of rules based on triggers, eg 5lb weight gain for CHF
• Business model: Saas + subscription
ecofusion
Disease prevention and management app that streamlines the process of care delivery
• Example use in diabetes patients to change behavior and modify eating binges
• Clinically proven in weight loss and reduction in A1C
• Business model: Saas + subscription via clinics, hospitals and payors
Cerora
For clinicians who are diagnosing concussion, a multimodal biosensor solution
• Supports better more objective decisions around concussion, improving outcomes and saving money
• Uses multiple data sources and analytics to increase diagnostic accuracy in real time
• Business model: Saas + subscription via payors, providers and athletic institutions
UnaliWear
First all-in-one, voice controlled watch to support seniors
• Provides on-call emergency assistance, support for falls, medication reminders and guard against wandering
• Does not require a smart phone
• Designed as all in one solution that elderly patients prepared to wear (ie non stigmatizing)
RespondWell
Telerehabilitation platform to help rpovders improve financial and clinical outcomes
• Telemedicine system that employs motion sensors and 3D exercise animations ar home
• Video records patient to assess performance and provide clinician with insights
• Business model: Saas on a subscription basis
SKINDROID
For athletes and health consumers who want to monitor their metabolic, eclectrolyte, pH, hydration and cellular respiration levels
• A wearable biosensor that detects various bio-molecules / electrolytes from a users sweat
• Cross platform integration possible
• Business Model: Saas / Paas buisness, revenue from pharma, software and tech vendors.
MedXCom
Automated medical answering service
• Handles the challenge of mishandled, embarassing and lost night calls
• Combines live operator experience with a mobile app to track and manage patient calls.
• Subscription model, on a physician basis
Voyager Med
For travelling patients, an online marketplace that connects patients with a curated network of US doctors
• Provides patients access to search and book appointments with US clinicians
• Subscription model from providers on a per patient basis
punctil
Healthcare punctuality service to increase efficiency caused by missed appointments
• Lets practice know who is en-route for appointments
• Can charge for missed appointments
• Can reshedule / offer up cancelled or missed appointments to other patients
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