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Business
                                                 Process
                                               Management




                                  Artificial
                                Intelligence



                                                      Healthcare




     Personalized Care Pathways
    using BPM and AI techniques
                                Arturo González-Ferrer, PhD
                          Department of Information Systems




1      European BPM round table, Nov 5th 2012
Summary

   Formalization of Guideline Knowledge
       How can BPMN help

   Enabling Clinical Workflow & Therapy Planning
       Care Pathways
       How can AI planning/scheduling help?
       Mix Physician-view, Patient-view, Organizational-view
           Personalized Care Pathways: Cognocare


   Knowledge-to-Data mapping
       MobiGuide project

2                             BPM round table, Eindhoven, Nov 5th,
Guideline Knowledge Modeling



                     +


    Computer-interpretable Guidelines (CIGs) are
    formalisms developed in the last decade:

    -   PROforma,
    -   Asbru,
    -   GLIF,
    -   SAGE
    -   GLARE,
    -   EON,…

3                             BPM round table, Eindhoven, Nov 5th,
What BPMN can provide for modeling?
 •   BPMN able to represent roles/participants

 •   Temporal Perspective
       • time points,
               •   absolute, periodic, relative
         •   intervals/durations
               •   maximum, minimum, estimated
         •   temporal constraints
               •   As Soon As Possible (ASAP)
               •   As Late As Possible (ALAP)
               •   Start No Earlier Than (SNET)
               •   Finish No Earlier Than (FNET)
               •   Start No Later Than (SNLT)
               •   Finish No Later Than (FNLT)
         •   temporal dependencies
               •   Start-to-Finish (SF), Start-to-Start (SS)
               •   Finish-to-Start (FS), Finish-to-Finish (FF)




 Denis Gagné and André Trudel,“Time-BPMN”, First Workshop on BPMN, 2009
“At enactment time, the temporal perspective of the workflow specification leads to the ability to precisely schedule a process
and its resources”

     4                                              BPM round table, Eindhoven, Nov 5th,
Enabling Organizational Workflow &
Therapy Planning
       Physicians:                                                Managers:
            Did the patient take medication?
                                                                       Are we running out of resources?
            Who did what? Who is in charge of what?
            Don't forget the lab test!                                How many nurses do we need next week?
            Am I following evidence during treatment?                 Do we have a peak of patients at any moment?
            How many times did I change dosages/plan?                 It is safe to reassign resources?
            Provide recommendations compatible with CPOE              Are we following evidence GL?
       Patients:                                                      Show insurance companies that we did according
            Allow them a personalized care                             to Clinical Guidelines
            Remind them next steps
            Record their recommendations/actions (PHR)
            Personalized CPs adapted to patient’s insurance
             coverage


            “Hardly any of the existing Clinical Decision Support Systems (CDSS) appear to be
            aimed at supporting extended clinical workflows, management of information and
                             decision-making in plans that unfold over time”

    J. Fox et al. Delivering clinical decision support services: there is nothing as
    practical as a good theory. Journal of Biomedical Informatics, 43(5), 2010
    5                                            BPM round table, Eindhoven, Nov 5th,
Care Pathways
            Aim to model a timed process of patient-focused care, by specifying
    key events, clinical exams and assessments to produce the best prescribed outcomes,
      within the limits of the resources available, for an appropriate episode of care




Figure extracted from R. Lenz, M. Reichert “IT support for healthcare
processes – premises, challenges, perspectives”, Data & Knowledge
Engineering 61, 2007

6                                            BPM round table, Eindhoven, Nov 5th,
How can HTN AI planning help?

                         HTN: Hierarchical Task Network




          Declarative in nature, but able to also express control flow patterns
                      Able to express knowledge-based heuristics
    It is based in first-order logic, but very useful for domains based on expert knowledge

7                                 BPM round table, Eindhoven, Nov 5th,
Integrating technologies
       CIGs
           Model the physician view of care process
           Their interpretation can provide single-step decision support

       BPMN
           Model the organization view of care process
           It can represent knowledge about roles, resources that are not
            included in CIG

       Artificial Intelligence P&S
           Can use the knowledge provided by CIGs and BPM models
           Provide a treatment plan considering physician, patient, and
            organizational views
           Can model heuristics to drive the search of the goal plan


    8                              BPM round table, Eindhoven, Nov 5th,
Deliberative   Reactive


AI Planning approaches
                                                                                                BPM         Continual




       Fully deliberative approach
           A plan or process is designed hoping that
            everything is going to happen as expected and
            everything is fully predictable
       Fully reactive approach
           The outcome of some tasks may not be
            predicted
       Building processes with conditional branches
           The branch to be executed depends on the
            satisfaction of certain conditions (e.g. BPM)
       Continual planning                                                    Dwight D. Eisenhower
           Dynamically building a simple process, perhaps
                                                                               In preparing for battle I
            the most likely to be successful until the end or
            until an intermediate milestone, try to execute                     have always found that
            it, discard it when it fails, and quickly re-build a                 plans are useless, but
            new one                                                            planning is indispensable




    9                                          BPM round table, Eindhoven, Nov 5th,
Knowledge Engineering: BPM/CIG to HTN P&S
    Gonzalez-Ferrer, A. et al., From business process models to
     hierarchical task network planning domains” 28(2), June 2013,
     The Knowledge Engineering Review, Cambridge Journals
        JABBAH : http://sites.google.com/site/bpm2hth/




    González-Ferrer A et al., Automated generation of patient-
     tailored electronic care pathways by translating computer-
     interpretable guidelines into hierarchical task networks, 2012,
     Artificial Intelligence in Medicine, Elsevier




    10                                      BPM round table, Eindhoven, Nov 5th,
11
Powered by
Cognocare is based on IActive’s
                                  award-wining technology


                       “How Knowledge Workers Get Things Done:
                       Real-World Adaptive Case Management”, 2012



                          Award-winning Artificial Intelligence engine

     Global Awards for Excellence in                       International Conference on
     Adaptive Case Management. Gold                        Planning & Scheduling. Award for
     Winner of the Healthcare category.                    Excellence in Knowledge
     Workflow Management Coalition                         Engineering.
     2012, USA.                                            ICAPS 2009. Tesalónica, Greece.

     Spain National Informatics Congress.                  International Conference on
     Best Application Using Artificial                     Planning & Scheduling. Award for
     Intelligence.                                         Best Application.
     CEDI 2005, Spain.                                     ICAPS 2006. United Kingdom.
13                           BPM round table, Eindhoven, Nov 5th,
The Cancer Problem

   High incidence,
 prevalence and cost


   High complexity


Evidence-based medicine
   is not personalized


 Constant change of
 patient conditions




    14                    BPM round table, Eindhoven, Nov 5th,
What do physicians need?


      To design personalized     I 0
      treatments efficiently

      To conform to          I      0
      evidence-based medicine

      To keep up with the       I   0
      latest practice guidelines

      To react to patient’s      I 0
      changing conditions

         At the point of care!


15                        BPM round table, Eindhoven, Nov 5th,
Physicians may modify the details of the treatment   Alerts about scheduled lab tests     Detailed explanations about dosages         Next scheduled test




             Log of every decision made                                           Tentative forecast of the treatment (subject to lab tests)
Estimation of Resources




Difficulties
 - Integration with EMRs
 - Integration of the provided output with CPOEs




 17                          BPM round table, Eindhoven, Nov 5th,
Knowledge-Data: The good & evil simile




                                              to enable this bridge
                                             we need someone smart




18              BPM round table, Eindhoven, Nov 5th,
Knowledge Engineering
     Turning the process of constructing Knowledge Based
      Systems from an Art into an Engineering Discipline,
           using better methodological approaches

         Studer et. al, Knowledge Engineering: Principles and
                            Methods,1998

19                     BPM round table, Eindhoven, Nov 5th,
Knowledge-Data Mapping


             +



   Clinical concept                                     data representation of
(pregnancy) is clear to                                  this concept can be
doctors, and to all of us                                    very different



                     How to evaluate if a patient is pregnant?

20                          BPM round table, Eindhoven, Nov 5th,
MobiGuide (www.mobiguide-project.eu)
The MobiGuide project develops an intelligent system for patients with chronic illnesses, such as
cardiac arrhythmias, diabetes, and high blood pressure. The patients wear sensors that can monitor
bio-signals (e.g., heart rate, blood pressure); the signals are transmitted to their Smartphone. The
MobiGuide decision-support tools analyse the data, alert the patient about actions that should be
taken, ask the patient questions (in the case that additional information is needed) and make
recommendations regarding lifestyle changes or contacting care providers. All recommendations
regarding therapy are transmitted to the patients' care providers.




                  EMR1
                                             PHR                                    CIG
                  EMR2                                          Knowledge-Data
                                                                   mapping
                                                                                    CIG
                    BAN                                                             KB


                                                               recommendations
                                                                                 CDSS


  21                                  BPM round table, Eindhoven, Nov 5th,
my namesake Arthur used to say:




     ‘There is no worse death than the end of hope’

                 Thanks! contact me at:
                  arturogf@gmail.com

22                 BPM round table, Eindhoven, Nov 5th,

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Personalized Care Pathways using BPM and AI techniques

  • 1. Business Process Management Artificial Intelligence Healthcare Personalized Care Pathways using BPM and AI techniques Arturo González-Ferrer, PhD Department of Information Systems 1 European BPM round table, Nov 5th 2012
  • 2. Summary  Formalization of Guideline Knowledge  How can BPMN help  Enabling Clinical Workflow & Therapy Planning  Care Pathways  How can AI planning/scheduling help?  Mix Physician-view, Patient-view, Organizational-view  Personalized Care Pathways: Cognocare  Knowledge-to-Data mapping  MobiGuide project 2 BPM round table, Eindhoven, Nov 5th,
  • 3. Guideline Knowledge Modeling + Computer-interpretable Guidelines (CIGs) are formalisms developed in the last decade: - PROforma, - Asbru, - GLIF, - SAGE - GLARE, - EON,… 3 BPM round table, Eindhoven, Nov 5th,
  • 4. What BPMN can provide for modeling? • BPMN able to represent roles/participants • Temporal Perspective • time points, • absolute, periodic, relative • intervals/durations • maximum, minimum, estimated • temporal constraints • As Soon As Possible (ASAP) • As Late As Possible (ALAP) • Start No Earlier Than (SNET) • Finish No Earlier Than (FNET) • Start No Later Than (SNLT) • Finish No Later Than (FNLT) • temporal dependencies • Start-to-Finish (SF), Start-to-Start (SS) • Finish-to-Start (FS), Finish-to-Finish (FF) Denis Gagné and André Trudel,“Time-BPMN”, First Workshop on BPMN, 2009 “At enactment time, the temporal perspective of the workflow specification leads to the ability to precisely schedule a process and its resources” 4 BPM round table, Eindhoven, Nov 5th,
  • 5. Enabling Organizational Workflow & Therapy Planning  Physicians:  Managers:  Did the patient take medication?  Are we running out of resources?  Who did what? Who is in charge of what?  Don't forget the lab test!  How many nurses do we need next week?  Am I following evidence during treatment?  Do we have a peak of patients at any moment?  How many times did I change dosages/plan?  It is safe to reassign resources?  Provide recommendations compatible with CPOE  Are we following evidence GL?  Patients:  Show insurance companies that we did according  Allow them a personalized care to Clinical Guidelines  Remind them next steps  Record their recommendations/actions (PHR)  Personalized CPs adapted to patient’s insurance coverage “Hardly any of the existing Clinical Decision Support Systems (CDSS) appear to be aimed at supporting extended clinical workflows, management of information and decision-making in plans that unfold over time” J. Fox et al. Delivering clinical decision support services: there is nothing as practical as a good theory. Journal of Biomedical Informatics, 43(5), 2010 5 BPM round table, Eindhoven, Nov 5th,
  • 6. Care Pathways Aim to model a timed process of patient-focused care, by specifying key events, clinical exams and assessments to produce the best prescribed outcomes, within the limits of the resources available, for an appropriate episode of care Figure extracted from R. Lenz, M. Reichert “IT support for healthcare processes – premises, challenges, perspectives”, Data & Knowledge Engineering 61, 2007 6 BPM round table, Eindhoven, Nov 5th,
  • 7. How can HTN AI planning help? HTN: Hierarchical Task Network Declarative in nature, but able to also express control flow patterns Able to express knowledge-based heuristics It is based in first-order logic, but very useful for domains based on expert knowledge 7 BPM round table, Eindhoven, Nov 5th,
  • 8. Integrating technologies  CIGs  Model the physician view of care process  Their interpretation can provide single-step decision support  BPMN  Model the organization view of care process  It can represent knowledge about roles, resources that are not included in CIG  Artificial Intelligence P&S  Can use the knowledge provided by CIGs and BPM models  Provide a treatment plan considering physician, patient, and organizational views  Can model heuristics to drive the search of the goal plan 8 BPM round table, Eindhoven, Nov 5th,
  • 9. Deliberative Reactive AI Planning approaches BPM Continual  Fully deliberative approach  A plan or process is designed hoping that everything is going to happen as expected and everything is fully predictable  Fully reactive approach  The outcome of some tasks may not be predicted  Building processes with conditional branches  The branch to be executed depends on the satisfaction of certain conditions (e.g. BPM)  Continual planning Dwight D. Eisenhower  Dynamically building a simple process, perhaps In preparing for battle I the most likely to be successful until the end or until an intermediate milestone, try to execute have always found that it, discard it when it fails, and quickly re-build a plans are useless, but new one planning is indispensable 9 BPM round table, Eindhoven, Nov 5th,
  • 10. Knowledge Engineering: BPM/CIG to HTN P&S  Gonzalez-Ferrer, A. et al., From business process models to hierarchical task network planning domains” 28(2), June 2013, The Knowledge Engineering Review, Cambridge Journals  JABBAH : http://sites.google.com/site/bpm2hth/  González-Ferrer A et al., Automated generation of patient- tailored electronic care pathways by translating computer- interpretable guidelines into hierarchical task networks, 2012, Artificial Intelligence in Medicine, Elsevier 10 BPM round table, Eindhoven, Nov 5th,
  • 11. 11
  • 13. Cognocare is based on IActive’s award-wining technology “How Knowledge Workers Get Things Done: Real-World Adaptive Case Management”, 2012 Award-winning Artificial Intelligence engine Global Awards for Excellence in International Conference on Adaptive Case Management. Gold Planning & Scheduling. Award for Winner of the Healthcare category. Excellence in Knowledge Workflow Management Coalition Engineering. 2012, USA. ICAPS 2009. Tesalónica, Greece. Spain National Informatics Congress. International Conference on Best Application Using Artificial Planning & Scheduling. Award for Intelligence. Best Application. CEDI 2005, Spain. ICAPS 2006. United Kingdom. 13 BPM round table, Eindhoven, Nov 5th,
  • 14. The Cancer Problem High incidence, prevalence and cost High complexity Evidence-based medicine is not personalized Constant change of patient conditions 14 BPM round table, Eindhoven, Nov 5th,
  • 15. What do physicians need? To design personalized I 0 treatments efficiently To conform to I 0 evidence-based medicine To keep up with the I 0 latest practice guidelines To react to patient’s I 0 changing conditions At the point of care! 15 BPM round table, Eindhoven, Nov 5th,
  • 16. Physicians may modify the details of the treatment Alerts about scheduled lab tests Detailed explanations about dosages Next scheduled test Log of every decision made Tentative forecast of the treatment (subject to lab tests)
  • 17. Estimation of Resources Difficulties - Integration with EMRs - Integration of the provided output with CPOEs 17 BPM round table, Eindhoven, Nov 5th,
  • 18. Knowledge-Data: The good & evil simile to enable this bridge we need someone smart 18 BPM round table, Eindhoven, Nov 5th,
  • 19. Knowledge Engineering Turning the process of constructing Knowledge Based Systems from an Art into an Engineering Discipline, using better methodological approaches Studer et. al, Knowledge Engineering: Principles and Methods,1998 19 BPM round table, Eindhoven, Nov 5th,
  • 20. Knowledge-Data Mapping + Clinical concept data representation of (pregnancy) is clear to this concept can be doctors, and to all of us very different How to evaluate if a patient is pregnant? 20 BPM round table, Eindhoven, Nov 5th,
  • 21. MobiGuide (www.mobiguide-project.eu) The MobiGuide project develops an intelligent system for patients with chronic illnesses, such as cardiac arrhythmias, diabetes, and high blood pressure. The patients wear sensors that can monitor bio-signals (e.g., heart rate, blood pressure); the signals are transmitted to their Smartphone. The MobiGuide decision-support tools analyse the data, alert the patient about actions that should be taken, ask the patient questions (in the case that additional information is needed) and make recommendations regarding lifestyle changes or contacting care providers. All recommendations regarding therapy are transmitted to the patients' care providers. EMR1 PHR CIG EMR2 Knowledge-Data mapping CIG BAN KB recommendations CDSS 21 BPM round table, Eindhoven, Nov 5th,
  • 22. my namesake Arthur used to say: ‘There is no worse death than the end of hope’ Thanks! contact me at: arturogf@gmail.com 22 BPM round table, Eindhoven, Nov 5th,