Scenario analysis, opportunity analysis, scenario identification and strategy development for smartphone mobile medical applications. Analysis I conducted using various innovation and scenario planning tools. Pre startup idea development

1. Opportunity Analysis & Strategy Development
for Medical Mobile Device Applications

2. Value Chain Models
Medicine based
Medical App Network Healthcare
OEMs Retailers Patients
Technicians Developers Providers Providers
Software based
App Developers Network Providers OEMs Retailers Patients

3. Job Map with Outcomes
• Increase amount of patient specific data
Define
• Increase number of data connected devices.
Locate • Increase number of remotely controlled systems
• Minimize time to connect devices
Prepare
• Increase display measurements
Confirm
• Increase computational power
Execute • Minimize frequency of failure
• Increase amount of real time tracking data
Monitor
• Increase amount of remote setting changes
Modify
• Minimize time to communicate with patient results
Conclude

4. Why EMR Platform
• Developed countries moving to common EMR
platform
• Productivity improvements could decrease
healthcare spending by $300-800 billion annually
• More efficient information sharing of records
results in higher quality of care
• Could prove life saving to individuals traveling
without access to their records

5. Changing Needs
• Mobile Health Monitoring #5 in Gartner, Inc. top 10 trends
• Telemedical devices facilitating mobile health monitoring
• Estimated 81% of physicians using smartphones within few
years
• “We're no longer using it as a reference device, we're using
it as a computer replacement”
- Henry Feldman, MD, Chief of Information
Architect at Beth Israel Deaconess Medical Center
in Boston

6. Opportunity Landscape
Trends (Drivers) Problems (Jobs) Solutions (Products/Services)
Data Networks • Faster networks – 4G, • Medical record data size • Compression algorithm
LTE is too large to transfer • Cache information in device
quickly and costly
Simple • Consolidation of tools into • Special training • Bluetooth tools
Diagnostics single device • Multi-tool type diagnostic tool
Tools
EMR • Accessible medical • Secure sharing of info • Single platform to broker
records • Incompatible systems medical data cross platform
• Integration with providers • Data mapping software
Sensors • Smaller, faster, more • Single function sensors • Multi-functional sensors
accurate • Accuracy of data • Algorithms to filter out
interference
Software • New languages • Not all medical • Partner with university to
• Lots of applications diagnostics available in develop medical algorithms
• Cloud computing software
• Open source on the rise • Lack of field expertise

7. Issue Analysis
Drive partnerships with
the top EMR ISV's
Develop the system to
integrate with the top 10
EMR systems and
applications
Seek investments from
EMR vendors to gain their
commitment
What is the best way to
drive broad adoption of a
single EMR data Ensure the system is
exchange system? engineered exceeding Adopt security and legal
security and compliance requirements by providers
requirements
Strike key partnerships
Offer reducing or free
with the largest and most
pricing with key providers
influencial provider
to gain adoption
networks

8. Hypothesis Analysis
Revenue model is
viable
Drives adoption across
payer/provider
ecosystem
Exchange of EMR
data leads to other
uses
Partnerships and
adoption with top
provider networks Enures system
satisfies security and
Development legal compliance
coordination drives requirements
universal standards
and protocols of
system Flexible network
integrating with
majority of platforms

9. Launch Strategy
• Partner with largest Integrated Health Network
Catholic Health Initiatives
Hospitals
78
healthcare networks Ascension Health 67
Trinity Health 44
Catholic Healthcare West 41
• Joint standards Adventist Health System 37
Kaiser Foundation Hospitals 36
development Catholic Health East 34
Catholic Healthcare Partners 33
• Hire expertise Iowa Health System
Providence Health & Services
26
26
Sutter Health 25
• Free integration Company Installations Installation %
consulting resources Meditech 1,185 26.60%
McKesson Provider Tech 630 14.10%
Cerner 560 12.60%
• Partner with largest Siemens Medical 425 9.50%
Self-developed 357 8.00%
EMR ISV’s CPSI 353 7.90%
Epic Systems 265 6.00%
Eclipsys 243 5.50%

10. Situation Analysis
• Context : Health Care Stimulus
• Customer
Big Hospitals Small Physicians and End Customer
Hospitals and nurses - Patients
Practices
Virginia Mason, Smaller number Fall into Don’t offer
Swedish of medical big/small directly to end
Medical (large records hospitals they customer (legal
no of records) work for issues)
• Competition: Epic Systems

11. Future Job Map
• Increase likelihood of correctly sharing data.
Define
• Minimize time to locate and use cross-share feature
Locate
• Increase likelihood of capturing all data
Prepare • Minimize time to enter data
• Minimize likelihood of entering inaccurate data
Confirm
• Minimize time to process, store and cross-share data
Execute • Minimize likelihood of loss of data
• Increase likelihood of data sharing
Monitor • Minimize time to confirm data cross-shared
• Minimize time to correct data
Modify • Minimize number of times data has to be entered
• Minimize time to confirm and close
Conclude • Increase likelihood of successful save and share

12. Launch Plan
Optimize on Prepare And Execute
Jan 2012 Jun 2012 Nov 2012 June 2013 Oct 2013
 Bootstrap, build
teams
 Identify clients
 Agreement
 Build software
with
 Legal clients
 Project access  Requirements
management  Sharing  Product
 Specifications
teams Delivered for 2
 Pricing Captured
Big Hospitals
to share  Build extra jobs
 Common  Get new clients
platform built.

13. Q&A