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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


Knowledge-to-Data mapping

2
Personalized Care Pathways: Cognocare
MobiGuide project
BPM round table, Eindhoven, Nov 5th,
Guideline Knowledge Modeling
+
Computer-interpretable Guidelines (CIGs) are
formalisms developed in the last decade:
3
PROforma,
Asbru,
GLIF,
SAGE
GLARE,
EON,…
BPM round table, Eindhoven, Nov 5th,
What BPMN can provide for modeling?
•
BPMN able to represent roles/participants
•
Temporal Perspective
• time points,
•
•
intervals/durations
•
•
maximum, minimum, estimated
temporal constraints
•
•
•
•
•
•
•
absolute, periodic, relative
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:







Did the patient take medication?
Who did what? Who is in charge of what?
Don't forget the lab test!
Am I following evidence during treatment?
How many times did I change dosages/plan?
Provide recommendations compatible with CPOE
Patients:





Allow them a personalized care
Remind them next steps
Record their recommendations/actions (PHR)
Personalized CPs adapted to patient’s insurance
coverage

Managers:

Are we running out of resources?

How many nurses do we need next week?

Do we have a peak of patients at any moment?

It is safe to reassign resources?

Are we following evidence GL?

Show insurance companies that we did according
to Clinical Guidelines
“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




8
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
BPM round table, Eindhoven, Nov 5th,
AI Planning approaches
Deliberative
Reactive
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


9
Dynamically building a simple process, perhaps
the most likely to be successful until the end or
until an intermediate milestone, try to execute
it, discard it when it fails, and quickly re-build a
new one
Dwight D. Eisenhower
In preparing for battle I
have always found that
plans are useless, but
planning is indispensable
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 patienttailored electronic care pathways by translating computerinterpretable 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
13
Global Awards for Excellence in
Adaptive Case Management. Gold
Winner of the Healthcare category.
Workflow Management Coalition
2012, USA.
International Conference on
Planning & Scheduling. Award for
Excellence in Knowledge
Engineering.
ICAPS 2009. Tesalónica, Greece.
Spain National Informatics Congress.
Best Application Using Artificial
Intelligence.
CEDI 2005, Spain.
International Conference on
Planning & Scheduling. Award for
Best Application.
ICAPS 2006. United Kingdom.
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
treatments efficiently
I 0
To conform to
I
evidence-based medicine
0
To keep up with the
I
latest practice guidelines
0
To react to patient’s
changing conditions
I 0
At the point of care!
15
BPM round table, Eindhoven, Nov 5th,
Physicians may modify the details of the treatment
Log of every decision made
Alerts about scheduled lab tests
Detailed explanations about dosages
Next scheduled test
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
(pregnancy) is clear to
doctors, and to all of us
data representation of
this concept can be
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
EMR2
PHR
CIG
Knowledge-Data
mapping
CIG
KB
BAN
recommendations
21
BPM round table, Eindhoven, Nov 5th,
CDSS
my namesake Arthur used to say:
‘There is no worse death than the end of hope’
Thanks! contact me at:
[email protected]
22
BPM round table, Eindhoven, Nov 5th,