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Open App Challenge
webECG - a complete
and integrated cardiac
       solution

    Brock Heinz
  Spaulding Clinical
   February 2013
Solution Overview
           … improving the management of high cost chronic disease while also addressing value-based care imperatives

        High Level Solution Description:
        The webECG solution is a complete and compelling answer to the burning questions
        regarding preventing, diagnosing, and treating some of health care's most expensive
        chronic diseases.
        By leveraging flexible and dynamic analytics, providers can easily identify their highest risk
        cardiac patients through a powerful modular data mining risk solution. Then, with a fully
        integrated ECG device and platform, cardiac results are automatically saved to the EHR
        regardless of whether the patient is in a physician office or in their home.

        Problems Addressed:
        Reduces cost and improves outcomes for a variety of diseases including, but not limited to
        heart disease, hypertension, and pulmonary conditions.
        Empowers providers to enhance patient engagement by supporting remote cardiac
        monitoring, thus reducing 30-day readmissions for some of the most relevant chronic
        conditions.
        With customizable data mining capabilities, the solution is a powerful way to address
        population health.



2	
  
Usability and Design - Setup
                   … how our application will be used by a healthcare provider and patients to improve outcomes



        •    Sites are configured via browser in cloud-based system
              •      Unlike traditional ECG solutions, there are no associated capital costs
        •    Sites receive a hand-held, FDA approved 12 lead ECG device (http://bit.ly/WdVtYk)
              •      Acquires up to 5 minutes of 12 lead ECG; can optionally collect 30 seconds of
                     patient / caregiver voice
        •    Client software is installed at the site – either via launcher buttons in the EHR or in
             stand-alone mode




3	
  
Usability and Design – Data Mining / Analytics
             … how our application will be used by a healthcare provider and patients to improve outcomes


        •    Modular framework allows providers to classify risk levels based on custom
             criterion and population health analytics
        •    By default, system offers the clinically validated Framingham Risk Score
             (http://bit.ly/11u4VvR) to estimate the 10-year cardiac risk of patients
        •    On a timed basis, data mining framework queries EHR for past and future
             appointments (24 months in the past, and three months into the future)
        •    With each distinct patient, a clinical summary is pulled from the EHR, risk levels are
             calculated by the algorithm, and the results are stored in a database
        •    Providers can visualize the risk scores via a web interface
              •    A color coded system that cross references appointments for a given day
                   (where EHR Tasks can be created directly from the web interface)
              •    A macro view that shows entire patient population – also exportable in Excel




4	
  
Usability and Design – Risk Mining
… how our application will be used by a healthcare provider and patients to improve outcomes
Usability and Design – Visualizing Risk
  … how our application will be used by a healthcare provider and patients to improve outcomes




* simulated schedules and patients were used to make user interface more realistic
Usability and Design – Acting on Risk
  … how our application will be used by a healthcare provider and patients to improve outcomes




* simulated schedules and patients were used to make user interface more realistic
Usability and Design – Client Software Interaction
… how our application will be used by a healthcare provider and patients to improve outcomes


    •  Launches natively in EHR: demographics and authentication are
       automatic via UAI integration and launcher button framework
Usability and Design – Saving an ECG
… how our application will be used by a healthcare provider and patients to improve outcomes


    •  Both waveform and order / result (with proper 12 lead ECG billing code) is
       seamlessly saved to EHR
Usability and Design – Over-Reading ECG
… how our application will be used by a healthcare provider and patients to improve outcomes


    •  Cardiologist measures / interpretations integrated with EHR
Usability and Design – Remote Patient Monitoring
              … how our application will be used by a healthcare provider and patients to improve outcomes


         •      Key piece of the puzzle in managing transitions of care to reduce
                readmissions
         •      System can easily be extended to the patient home
                 •    Small size of device is ideal for caregivers and patients
                 •    Client software is delivered via the browser; typically installs with only a
                      single click after entering an authentication code
         •      Authentication based on patient preferences – typically email address and
                assigned password
         •      Demographics and patient picture are automatically obtained via UAI
         •      At upload time, ECG can optionally be saved directly to EHR




* mobile client software, including Windows 8, still in active development




11	
  
Development Stage / Integration Description
                Code is complete and ready for Allscripts testing and approval (Enterprise EHR)



         Data Mining / Analytics
         •    GetSchedule()
         •    GetPatient()
         •    GetClinicalSummary()
         •    GetPatientsByICD9()
         •    SaveTask()
         •    GetProviders()

         Client Software Interaction – Physician Office and Remote
         •    GetUserAuthentication()
         •    GetPatient()
         •    SearchPatient()
         •    GetPatientByMRN()

         Saving / Over-Reading ECG
         •    SaveDocumentImage()
         •    SaveOrderAndResult()
         •    GetOrderResultSets()




12	
  
Go to Market Plans
         How will solution be brought to market?
          •  The solution will be offered as a stand-alone product or packaged with the Spaulding
             webECG cloud-based electrocardiography system and integrated with Allscripts
             EHR

         Which Allscripts customer segments will be targeted?
         •  Clinics, physician offices, and hospitals, both independent and part of larger
            integrated delivery networks (IDNs) using Allscripts electronic health records
         •  Accountable Care Organizations (ACOs) with the objective to improve clinical
            outcomes, reduce readmission rates, and improve patient satisfaction


         What is the proposed price point for the solution?
         •  Nominal one-time device fee, $7/ECG (based on volume)
         •  Access to Risk Calculation and Management: TBD




13	
  
Video Demonstration


          •  http://www.youtube.com/watch?v=ix49xDIeqok
               •  Available in 720p HD


         Video Overview
         •    Introduction – framing of the problem and proposition of a solution
         •    System Setup – simple, browser-based, sites are configured in seconds
         •    Data Mining and Analytics – modular framework helps providers manage risk
         •    Client Software Interaction – tightly integrated with EHR
         •    Saving ECG – seamlessly append ECG to patient record (waveform and result)
         •    Over-Read ECG – cardiologist collaboration, updates to EHR are automatic
         •    Remote Patient Monitoring – simple install, extends care, integrated with EHR
         •    Summary




14	
  
Why Select this Solution?



         •  Complete cardiac system addresses management of high cost chronic
            conditions
         •  Through data mining / analytics, empowers providers to be proactive about
            addressing cardiac issues via population health
         •  Tightly integrated with the EHR, opportunities for error in data collection and
            transcription are eliminated
         •  Collaborative system allows for seamless cardiologist interaction
         •  With integrated remote patient monitoring, providers can effectively reduce
            30-day readmissions
         •  Addresses most relevant and costly challenges facing Allscripts’ customers




15	
  

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Complete cardiac solution reduces costs improves outcomes

  • 1. Open App Challenge webECG - a complete and integrated cardiac solution Brock Heinz Spaulding Clinical February 2013
  • 2. Solution Overview … improving the management of high cost chronic disease while also addressing value-based care imperatives High Level Solution Description: The webECG solution is a complete and compelling answer to the burning questions regarding preventing, diagnosing, and treating some of health care's most expensive chronic diseases. By leveraging flexible and dynamic analytics, providers can easily identify their highest risk cardiac patients through a powerful modular data mining risk solution. Then, with a fully integrated ECG device and platform, cardiac results are automatically saved to the EHR regardless of whether the patient is in a physician office or in their home. Problems Addressed: Reduces cost and improves outcomes for a variety of diseases including, but not limited to heart disease, hypertension, and pulmonary conditions. Empowers providers to enhance patient engagement by supporting remote cardiac monitoring, thus reducing 30-day readmissions for some of the most relevant chronic conditions. With customizable data mining capabilities, the solution is a powerful way to address population health. 2  
  • 3. Usability and Design - Setup … how our application will be used by a healthcare provider and patients to improve outcomes •  Sites are configured via browser in cloud-based system •  Unlike traditional ECG solutions, there are no associated capital costs •  Sites receive a hand-held, FDA approved 12 lead ECG device (http://bit.ly/WdVtYk) •  Acquires up to 5 minutes of 12 lead ECG; can optionally collect 30 seconds of patient / caregiver voice •  Client software is installed at the site – either via launcher buttons in the EHR or in stand-alone mode 3  
  • 4. Usability and Design – Data Mining / Analytics … how our application will be used by a healthcare provider and patients to improve outcomes •  Modular framework allows providers to classify risk levels based on custom criterion and population health analytics •  By default, system offers the clinically validated Framingham Risk Score (http://bit.ly/11u4VvR) to estimate the 10-year cardiac risk of patients •  On a timed basis, data mining framework queries EHR for past and future appointments (24 months in the past, and three months into the future) •  With each distinct patient, a clinical summary is pulled from the EHR, risk levels are calculated by the algorithm, and the results are stored in a database •  Providers can visualize the risk scores via a web interface •  A color coded system that cross references appointments for a given day (where EHR Tasks can be created directly from the web interface) •  A macro view that shows entire patient population – also exportable in Excel 4  
  • 5. Usability and Design – Risk Mining … how our application will be used by a healthcare provider and patients to improve outcomes
  • 6. Usability and Design – Visualizing Risk … how our application will be used by a healthcare provider and patients to improve outcomes * simulated schedules and patients were used to make user interface more realistic
  • 7. Usability and Design – Acting on Risk … how our application will be used by a healthcare provider and patients to improve outcomes * simulated schedules and patients were used to make user interface more realistic
  • 8. Usability and Design – Client Software Interaction … how our application will be used by a healthcare provider and patients to improve outcomes •  Launches natively in EHR: demographics and authentication are automatic via UAI integration and launcher button framework
  • 9. Usability and Design – Saving an ECG … how our application will be used by a healthcare provider and patients to improve outcomes •  Both waveform and order / result (with proper 12 lead ECG billing code) is seamlessly saved to EHR
  • 10. Usability and Design – Over-Reading ECG … how our application will be used by a healthcare provider and patients to improve outcomes •  Cardiologist measures / interpretations integrated with EHR
  • 11. Usability and Design – Remote Patient Monitoring … how our application will be used by a healthcare provider and patients to improve outcomes •  Key piece of the puzzle in managing transitions of care to reduce readmissions •  System can easily be extended to the patient home •  Small size of device is ideal for caregivers and patients •  Client software is delivered via the browser; typically installs with only a single click after entering an authentication code •  Authentication based on patient preferences – typically email address and assigned password •  Demographics and patient picture are automatically obtained via UAI •  At upload time, ECG can optionally be saved directly to EHR * mobile client software, including Windows 8, still in active development 11  
  • 12. Development Stage / Integration Description Code is complete and ready for Allscripts testing and approval (Enterprise EHR) Data Mining / Analytics •  GetSchedule() •  GetPatient() •  GetClinicalSummary() •  GetPatientsByICD9() •  SaveTask() •  GetProviders() Client Software Interaction – Physician Office and Remote •  GetUserAuthentication() •  GetPatient() •  SearchPatient() •  GetPatientByMRN() Saving / Over-Reading ECG •  SaveDocumentImage() •  SaveOrderAndResult() •  GetOrderResultSets() 12  
  • 13. Go to Market Plans How will solution be brought to market? •  The solution will be offered as a stand-alone product or packaged with the Spaulding webECG cloud-based electrocardiography system and integrated with Allscripts EHR Which Allscripts customer segments will be targeted? •  Clinics, physician offices, and hospitals, both independent and part of larger integrated delivery networks (IDNs) using Allscripts electronic health records •  Accountable Care Organizations (ACOs) with the objective to improve clinical outcomes, reduce readmission rates, and improve patient satisfaction What is the proposed price point for the solution? •  Nominal one-time device fee, $7/ECG (based on volume) •  Access to Risk Calculation and Management: TBD 13  
  • 14. Video Demonstration •  http://www.youtube.com/watch?v=ix49xDIeqok •  Available in 720p HD Video Overview •  Introduction – framing of the problem and proposition of a solution •  System Setup – simple, browser-based, sites are configured in seconds •  Data Mining and Analytics – modular framework helps providers manage risk •  Client Software Interaction – tightly integrated with EHR •  Saving ECG – seamlessly append ECG to patient record (waveform and result) •  Over-Read ECG – cardiologist collaboration, updates to EHR are automatic •  Remote Patient Monitoring – simple install, extends care, integrated with EHR •  Summary 14  
  • 15. Why Select this Solution? •  Complete cardiac system addresses management of high cost chronic conditions •  Through data mining / analytics, empowers providers to be proactive about addressing cardiac issues via population health •  Tightly integrated with the EHR, opportunities for error in data collection and transcription are eliminated •  Collaborative system allows for seamless cardiologist interaction •  With integrated remote patient monitoring, providers can effectively reduce 30-day readmissions •  Addresses most relevant and costly challenges facing Allscripts’ customers 15