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Patient Portal for New Yorkers Design Challenge Submission by	

                           +	




The Team: Chintan Patel, PhD | Aziz Rawat | Sharib Khan MD, MA, MPH   447 Broadway, New York, NY. 10013
Application	



We have developed iHealthNY with the goal of supporting: 	

•  Insanely quick access to personal health information 	

•  Insanely simple yet secure ways to share the record with
   other providers and family/friends 	

•  Easy availability of additional web resources to satisfy
   information needs that arise based on the information in
   the patient record
Key Innovations	


           •    A ground-breaking Natural Language based search
                interface to allow consumers to quickly find information
                in their medical record  	

           •    One-click navigation design for viewing, sharing and
                receiving updates in the patient portal   	

           •    Simplified access control specifications to make record
                sharing easy 	

           •    Provide audio rendering of medical terms 
                as pronunciation aides   	

           •    Innovative integration of web search results to provide
                additional information based on what the user is
                searching for in the portal
Technology	


          Technical Architecture	

                    •  iHealthNY is built on open source
                                                          technology stack (Python, Django,
 Frontend NLP	

     (Javascript)	

         Google Search,               MySQL) and standards (HTML5, CCD)	

                             Map, Translate	

  Dynamic UI                         (Javascript)	

   •  Makes Use of SHIN-NY API functions	

   Renderer	

     (Javascript)	

                                   •  Uses an open source NLP engine
                       Frontend	

                                                          (NLTK) to parse user search queries 	

                       Backend	

                      •  Uses medical terminologies such as
Backend NLP	

             SHIN-NY Client	

              UMLS to understand user information
    (NLTK)	

                        (Python)	

          queries	


  Biomedical                Health Record              •  Uses Google Translate and Google
Term Interface	

               Index	

                  Search technology	

     (UMLS)	

                        (Solr)
Sign in (Screen Shot)
Dashboard (Screen Shot)	





Powerful search driven
information retrieval that
pulls information from the
PHR and relevant info from               Quick links based PHR navigation
the web	

                               to essential functions
Search (Screen Shot)	





When users type in
their query, matching
results pulls up in their
PHR section. For eg.
“WBC count”	

                                                Users are looking for more
                                                information on their
                                                condition and medication
                                                besides what’s in their
                                                records. Our PHR
                                                integrates that step in the
                                                UI by providing “Both” and
                                                “Web” option in the
                                                user’s search criteria
Sharing Record log (Screen Shot)	



Users can grant (other individuals
and providers) access to their
records by either searching
providers name or using their                                           User can revoke access to
email	

                                                                their records by simply locking
                                                                        the record (locked access
                                                                        shows up as a red dot)	


                                                                                    Partial access granted
                                                                                    (yellow dots)	





 Users can also link accounts of
 their family members 	

                                                        Full access granted
                                                                                 (green dots)	

                                        Connections are mapped out based
                                        on the user and provider location.
                                        For eg., access linked from Syracuse
                                        NY to Dansville, NY
View Record (Screen Shot)	

                                                Medical term
                                                pronunciation
                                                and ‘more info.‘
                                                function 	





                                                                   Records are
                                                                   sectioned into
                                                                   allergies,
                                                                   conditions and
                                                                   medications and
                                                                              	

                                                                   Test results.
                                                                   	

                                                                   Conditions and
                                                                   Medications are
                                                                   shown in timeline
                                                                   view 	




Hover state condition
descriptor with medical term
pronunciation and ‘more info.‘
function
Tests and Results (Screen Shot)	


   blood test results	

                                           Users can type to search say,
                                           ‘blood test results’. And the
                                           system brings up the relevant lab
                                           results as below 	





                                                                               Search-driven tool
                                                                               bar modifies and
                                                                               locates itself
                                                                               according to user
                                                                               navigation. Items
                                                                               can be dragged
                                                                               and dropped to
                                                                               print, download or
                                                                               share	



                           Categories
Tests and Results Navigation/Flow (Screen Shots)	



                            Categories	



                            Tests and results under each
                            category organized by dates	



                            Individual record details
Print and Download (Screen Shot)	





                                      Users check the
                                      item(s) and how far
                                      back they want to
                                      go on the dates and
                                      just print or
                                      download.
My Healthcare Team (Screen Shot)	





                                      All user’s health
                                      related contacts and
                                      information allows
                                      for a quick access for
                                      reference and
                                      emergencies.
Built by an Award Winning HIT Company	

• Won 5 previous health2.0 challenges	

   • Winner of the Indivo-SMART App Challenge 2012	

   • Winner of the ONC popHealth Challenge 2012	

   • Winner of the NCI’s Health 2.0 Application Challenge. 2011	

   • 2nd Place in ONC Health Data Platform Challenge (Simple Sign on) 2012   	

   • 2nd Place in Patient Engagement Blue Button Challenge 2012   	

• Built award-winning clinical trial matching application over Microsoft
HealthVault and Indivo PHRs  	

• Deep Expertise in Biomedical Informatics including the use of medical
terminologies, data exchange standards
• Live site can be seen at http://iHealthNY.org or 	


      http://ihealthNY.trialx.com      	

• Demo Login	


      • Username: demo	


      • Password: demo 	


      • Judges can use	


         • Username: PatientPortal8302	


         • Password: Challenge123

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Patient Portal for New Yorkers Design Challenge Submission

  • 1. Patient Portal for New Yorkers Design Challenge Submission by + The Team: Chintan Patel, PhD | Aziz Rawat | Sharib Khan MD, MA, MPH 447 Broadway, New York, NY. 10013
  • 2. Application We have developed iHealthNY with the goal of supporting: •  Insanely quick access to personal health information •  Insanely simple yet secure ways to share the record with other providers and family/friends •  Easy availability of additional web resources to satisfy information needs that arise based on the information in the patient record
  • 3. Key Innovations •  A ground-breaking Natural Language based search interface to allow consumers to quickly find information in their medical record •  One-click navigation design for viewing, sharing and receiving updates in the patient portal •  Simplified access control specifications to make record sharing easy •  Provide audio rendering of medical terms as pronunciation aides •  Innovative integration of web search results to provide additional information based on what the user is searching for in the portal
  • 4. Technology Technical Architecture •  iHealthNY is built on open source technology stack (Python, Django, Frontend NLP (Javascript) Google Search, MySQL) and standards (HTML5, CCD) Map, Translate Dynamic UI (Javascript) •  Makes Use of SHIN-NY API functions Renderer (Javascript) •  Uses an open source NLP engine Frontend (NLTK) to parse user search queries Backend •  Uses medical terminologies such as Backend NLP SHIN-NY Client UMLS to understand user information (NLTK) (Python) queries Biomedical Health Record •  Uses Google Translate and Google Term Interface Index Search technology (UMLS) (Solr)
  • 6. Dashboard (Screen Shot) Powerful search driven information retrieval that pulls information from the PHR and relevant info from Quick links based PHR navigation the web to essential functions
  • 7. Search (Screen Shot) When users type in their query, matching results pulls up in their PHR section. For eg. “WBC count” Users are looking for more information on their condition and medication besides what’s in their records. Our PHR integrates that step in the UI by providing “Both” and “Web” option in the user’s search criteria
  • 8. Sharing Record log (Screen Shot) Users can grant (other individuals and providers) access to their records by either searching providers name or using their User can revoke access to email their records by simply locking the record (locked access shows up as a red dot) Partial access granted (yellow dots) Users can also link accounts of their family members Full access granted (green dots) Connections are mapped out based on the user and provider location. For eg., access linked from Syracuse NY to Dansville, NY
  • 9. View Record (Screen Shot) Medical term pronunciation and ‘more info.‘ function Records are sectioned into allergies, conditions and medications and Test results. Conditions and Medications are shown in timeline view Hover state condition descriptor with medical term pronunciation and ‘more info.‘ function
  • 10. Tests and Results (Screen Shot) blood test results Users can type to search say, ‘blood test results’. And the system brings up the relevant lab results as below Search-driven tool bar modifies and locates itself according to user navigation. Items can be dragged and dropped to print, download or share Categories
  • 11. Tests and Results Navigation/Flow (Screen Shots) Categories Tests and results under each category organized by dates Individual record details
  • 12. Print and Download (Screen Shot) Users check the item(s) and how far back they want to go on the dates and just print or download.
  • 13. My Healthcare Team (Screen Shot) All user’s health related contacts and information allows for a quick access for reference and emergencies.
  • 14. Built by an Award Winning HIT Company • Won 5 previous health2.0 challenges • Winner of the Indivo-SMART App Challenge 2012 • Winner of the ONC popHealth Challenge 2012 • Winner of the NCI’s Health 2.0 Application Challenge. 2011 • 2nd Place in ONC Health Data Platform Challenge (Simple Sign on) 2012 • 2nd Place in Patient Engagement Blue Button Challenge 2012 • Built award-winning clinical trial matching application over Microsoft HealthVault and Indivo PHRs • Deep Expertise in Biomedical Informatics including the use of medical terminologies, data exchange standards
  • 15. • Live site can be seen at http://iHealthNY.org or http://ihealthNY.trialx.com • Demo Login • Username: demo • Password: demo • Judges can use • Username: PatientPortal8302 • Password: Challenge123