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Intellimessage
                              TEAM 7
                                Team 7
                          Total Contacts: 95

                 Tailored medical messaging system through patient
                 profile generation and tailored post-care messaging




   Meaningful information about YOUR
     health will lead (RA) a better life.
             Dan O’Hair
                (PI)
                           to Wes(EL)
                        Derek Lane Brooks Randall Stevens
                                               (IM)


We match your patient data and preferences with your clinical records
 to create personalized messages that improve your health outcomes
Current Information is too Generic and Excessive
   “Should I be worried                       “I can take care of
       about this?”                                myself.”




Age: 55                                  Age: 51
Sex: Female                              Sex: Male
Occupation: Librarian                    Occupation: Retired football coach
Need for information: Give me DETAILS!   Need for information: Just the FACTS!


 Both Patients Had Congestive Heart Failure
30-Day Readmissions Will No
           Longer Be Reimbursed




               $17B Spent Annually
                $12.5B Preventable




1 in 5 admitted patients
                             75% of those are
 are re-hospitalized
                              preventable.
   within 30 days.
Physician          Physician



            Communication is
              DIFFICULT

Patient
Federally Mandated Meaningful Use




Set up Electronic   Interoperability +   Improved
 Health Records      Data Standards      Outcomes
Clinical   Patient
Record      Data
Your Health Profile

Clinical                        Patient
Record                           Data
Your Health Profile

Clinical                        Patient
Record                           Data




             Tailored
             Messages
Our Journey
Where We Started
    Create Patient
 Communication Profile


Pa
  tie
        nt
             Re
                c   ei                     Give Doctors/Nurses
                         ve               Tips on Patient Comm.
                            s   Ca
                                     re



Patient Receives Tailored
Message about Self-Care
Model v1.0 - Post-Care Message Platform
Who We Talked With
                     Hospital Staff

                   Discharge Centers

                       Physicians

                     Health Leaders

                   Insurance Providers
KY Dept. of
                    Channel Partners
Public Health
What We Learned
                     Hospital Staff

                   Discharge Centers
 “We love this idea! This would be really helpful!”
                      Physicians
     “But this problem is not painful enough for us
    yet that we’d spend a bunch of money to fix it.”
                     Health Leaders

                  Insurance Providers
KY Dept. of
                   Channel Partners
Public Health
                     Potential Partners =
What We Learned
                     Hospital Staff

                   Discharge Centers
 “We love this idea! This would be really helpful!”
                      Physicians
     “But this problem is not painful enough for us
    yet that we’d spend a bunch of money to fix it.”
                     Health Leaders

                  Insurance Providers
KY Dept. of
                   Channel Partners
Public Health
                     Potential Partners =

Found University of KY Healthcare was generating
patient discharge summaries that could be tailored
Week 5 - v2.0 - Discharge Communication Platform
What We Did
                                            Discharge Focused Model




@UK Healthcare Discharge Unit
- Learned that high risk patients receive discharge summaries
- Information lacked usability and feedback
- Researched how to improve discharge communication
- Find drivers for wider adoption of discharge summaries
What We Did
                                            Discharge Focused Model




@UK Healthcare Discharge Unit
- Learned that high risk patients receive discharge summaries
- Information lacked usability and feedback
- Researched how to improve discharge communication
- Find drivers for wider adoption of discharge summaries
What We Did
                                            Discharge Focused Model




@UK Healthcare Discharge Unit
- Learned that high risk patients receive discharge summaries
- Information lacked usability and feedback
- Researched how to improve discharge communication
- Find drivers for wider adoption of discharge summaries
Here’s What We Found

                    Meaningful Use




Set up Electronic   Interoperability +   Improved
 Health Records      Data Standards      Outcomes
What We Found
                 Before Regulations

  Doctor A                              Doctor B




 Electronic                            Electronic
Health Record                         Health Record




                      Patient
What We Found
                  After Regulations

  Doctor A                              Doctor B
                  Continuity of
                 Care Documents


 Electronic                            Electronic
Health Record                         Health Record
                  Patient Visit
                   Summaries
Patient Portal                        Patient Portal


                       Patient
Competitive Landscape
Employer-Based
                            Patient-Based




Clinician-Based




                      Nobody connects
                  clinical and patient data
           Nobody uses tailored messages
Distribution Channels
Revenue Model
                                                 Health
         Healthcare          Patient Data
                                              Information
         Providers                             Exchanges

  Tailored Messaging
                                      Portal $$$
for + Patient Outcomes
                                                   Patient Data
               Patient
            Analytics $$$




                 Resources                      Health
                                    Patient
                  /Tools                       Insights
                                    Profile


                              Patient
User Market Size

   TAM = 128M
    People in the US
   between 25 and 55

    SAM = 63M
   uses online banking
     or shops online



  TM = 20.2M
   segment using health
  information exchanges
Week 10 - v3.0 - Health Profiles for Tailored Messages
Dan O’Hair (PI)          Jennifer Dupuis (RS)
UK CIS Dean              UK CIS Faculty
Tailored Comm            Health Literacy Researcher
Researcher               Sales Experience

Derek Lane (RS)          Randall Stevens (IM)
CIS Dist. Faculty        Successful Entrepreneur
Tailored Comm            2 Past Companies, 1
Researcher               New startup (Punndit)


Wes Brooks (EL)
EGR Student
3 Startups, 1@Stanford
QS Enthusiast
Previous Slides
Intellimessage     Team 7
    Total Contacts: 13
    3/21 Contacts: 5
Tailored medical messaging system through patient
profile healthcare providers to improve self care messaging
Helping generation and tailored post-care and reduce
  re-admittance through evidence-based tailored messages




    Dan O’Hair       Derek Lane   Wes Brooks   Randall Stevens
       (PI)               S
                       (RA)          (EL)           (IM)
Key Partners        Key Activities        Value Proposition        Customer               Customer
                                                                  Relationships           Segments
Existing Comm    Algorithm for Tailored   Risk Assessment       Diabetes Associations Health Care
Providers        Message Creation         Based on Individual   Partnerships          Organizations
                                          Differences
                 Continuous Evidence-                                                  Insurance
Dev Team         Based Profile Building Decision Support Tool                           Companies

M.D. Opinion     Multimedia Message       Clear Customized                             Pharmaceutical
Leaders          Delivery System          Health Messages                              Organizations
                                          Improved Patient                             High Risk
Medical Social     Key Resources                                       Channels
                                          Outcomes                                     Diabetic Patients
Media Content    State-of-the-Art Lab                           Direct Sales           Existing Com
Providers        and Proof of Concept      Reduced Health
                 Center                    Care Costs                                  Platforms
                                                                Existing Com
                 Data Entry Mechanism                           Platforms

                 Finding Early Adopting                         Partner Sales
                 Experimental HCO’s
                    Health Care
                    Reform Act
Cost Structure                                     Revenue Streams
Algorithm and Interface Design                       Cost-Saving Sharing               Federal Grants
Continuous Data Collection                           Recurring Subscription Service
Integration with Partner Platform                                                     Software Licensing
                                                     Per Patient Fee
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Tailored Message NSF Final Presentation

  • 2. Intellimessage TEAM 7 Team 7 Total Contacts: 95 Tailored medical messaging system through patient profile generation and tailored post-care messaging Meaningful information about YOUR health will lead (RA) a better life. Dan O’Hair (PI) to Wes(EL) Derek Lane Brooks Randall Stevens (IM) We match your patient data and preferences with your clinical records to create personalized messages that improve your health outcomes
  • 3. Current Information is too Generic and Excessive “Should I be worried “I can take care of about this?” myself.” Age: 55 Age: 51 Sex: Female Sex: Male Occupation: Librarian Occupation: Retired football coach Need for information: Give me DETAILS! Need for information: Just the FACTS! Both Patients Had Congestive Heart Failure
  • 4. 30-Day Readmissions Will No Longer Be Reimbursed $17B Spent Annually $12.5B Preventable 1 in 5 admitted patients 75% of those are are re-hospitalized preventable. within 30 days.
  • 5. Physician Physician Communication is DIFFICULT Patient
  • 6. Federally Mandated Meaningful Use Set up Electronic Interoperability + Improved Health Records Data Standards Outcomes
  • 7. Clinical Patient Record Data
  • 8. Your Health Profile Clinical Patient Record Data
  • 9. Your Health Profile Clinical Patient Record Data Tailored Messages
  • 11. Where We Started Create Patient Communication Profile Pa tie nt Re c ei Give Doctors/Nurses ve Tips on Patient Comm. s Ca re Patient Receives Tailored Message about Self-Care
  • 12. Model v1.0 - Post-Care Message Platform
  • 13. Who We Talked With Hospital Staff Discharge Centers Physicians Health Leaders Insurance Providers KY Dept. of Channel Partners Public Health
  • 14. What We Learned Hospital Staff Discharge Centers “We love this idea! This would be really helpful!” Physicians “But this problem is not painful enough for us yet that we’d spend a bunch of money to fix it.” Health Leaders Insurance Providers KY Dept. of Channel Partners Public Health Potential Partners =
  • 15. What We Learned Hospital Staff Discharge Centers “We love this idea! This would be really helpful!” Physicians “But this problem is not painful enough for us yet that we’d spend a bunch of money to fix it.” Health Leaders Insurance Providers KY Dept. of Channel Partners Public Health Potential Partners = Found University of KY Healthcare was generating patient discharge summaries that could be tailored
  • 16. Week 5 - v2.0 - Discharge Communication Platform
  • 17. What We Did Discharge Focused Model @UK Healthcare Discharge Unit - Learned that high risk patients receive discharge summaries - Information lacked usability and feedback - Researched how to improve discharge communication - Find drivers for wider adoption of discharge summaries
  • 18. What We Did Discharge Focused Model @UK Healthcare Discharge Unit - Learned that high risk patients receive discharge summaries - Information lacked usability and feedback - Researched how to improve discharge communication - Find drivers for wider adoption of discharge summaries
  • 19. What We Did Discharge Focused Model @UK Healthcare Discharge Unit - Learned that high risk patients receive discharge summaries - Information lacked usability and feedback - Researched how to improve discharge communication - Find drivers for wider adoption of discharge summaries
  • 20. Here’s What We Found Meaningful Use Set up Electronic Interoperability + Improved Health Records Data Standards Outcomes
  • 21. What We Found Before Regulations Doctor A Doctor B Electronic Electronic Health Record Health Record Patient
  • 22. What We Found After Regulations Doctor A Doctor B Continuity of Care Documents Electronic Electronic Health Record Health Record Patient Visit Summaries Patient Portal Patient Portal Patient
  • 23. Competitive Landscape Employer-Based Patient-Based Clinician-Based Nobody connects clinical and patient data Nobody uses tailored messages
  • 25. Revenue Model Health Healthcare Patient Data Information Providers Exchanges Tailored Messaging Portal $$$ for + Patient Outcomes Patient Data Patient Analytics $$$ Resources Health Patient /Tools Insights Profile Patient
  • 26. User Market Size TAM = 128M People in the US between 25 and 55 SAM = 63M uses online banking or shops online TM = 20.2M segment using health information exchanges
  • 27. Week 10 - v3.0 - Health Profiles for Tailored Messages
  • 28. Dan O’Hair (PI) Jennifer Dupuis (RS) UK CIS Dean UK CIS Faculty Tailored Comm Health Literacy Researcher Researcher Sales Experience Derek Lane (RS) Randall Stevens (IM) CIS Dist. Faculty Successful Entrepreneur Tailored Comm 2 Past Companies, 1 Researcher New startup (Punndit) Wes Brooks (EL) EGR Student 3 Startups, 1@Stanford QS Enthusiast
  • 30. Intellimessage Team 7 Total Contacts: 13 3/21 Contacts: 5 Tailored medical messaging system through patient profile healthcare providers to improve self care messaging Helping generation and tailored post-care and reduce re-admittance through evidence-based tailored messages Dan O’Hair Derek Lane Wes Brooks Randall Stevens (PI) S (RA) (EL) (IM)
  • 31. Key Partners Key Activities Value Proposition Customer Customer Relationships Segments Existing Comm Algorithm for Tailored Risk Assessment Diabetes Associations Health Care Providers Message Creation Based on Individual Partnerships Organizations Differences Continuous Evidence- Insurance Dev Team Based Profile Building Decision Support Tool Companies M.D. Opinion Multimedia Message Clear Customized Pharmaceutical Leaders Delivery System Health Messages Organizations Improved Patient High Risk Medical Social Key Resources Channels Outcomes Diabetic Patients Media Content State-of-the-Art Lab Direct Sales Existing Com Providers and Proof of Concept Reduced Health Center Care Costs Platforms Existing Com Data Entry Mechanism Platforms Finding Early Adopting Partner Sales Experimental HCO’s Health Care Reform Act Cost Structure Revenue Streams Algorithm and Interface Design Cost-Saving Sharing Federal Grants Continuous Data Collection Recurring Subscription Service Integration with Partner Platform Software Licensing Per Patient Fee