glare: a domain-independent system for acquiring, representing and executing clinical guidelines
DESCRIPTION
GLARE: a Domain-Independent System for Acquiring, Representing and Executing Clinical Guidelines. Paolo Terenziani, Stefania Montani, Alessio Bottrighi, DI, Universita’ del Piemonte Orientale “Amedeo Avogadro”, Alessandria, Italy Gianpaolo Molino, Mauro Torchio - PowerPoint PPT PresentationTRANSCRIPT
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GLARE: a Domain-Independent System for Acquiring, Representing and Executing Clinical Guidelines
Paolo Terenziani, Stefania Montani, Alessio Bottrighi, DI, Universita’ del Piemonte Orientale “Amedeo Avogadro”,
Alessandria, Italy
Gianpaolo Molino, Mauro TorchioLaboratorio di Informatica Clinica, Azienda Ospedaliera S.
Giovanni Battista, Torino, Italy
- The GLARE system
- Advances: support to decision making
- Advances: management of temporal constraints (see AMIA06 poster T020)
- Advances: contextualization facilities (see AMIA06 poster M010)
- Advances: model-checking facilities (see AMIA06 presentation in session S52)
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Introduction
Many different computer systems managing clinical guidelines (e.g., Asgaard, GEM, Gliff, Guide, PROforma,…)
Different roles:- support- critique- evaluation- education- …...
Clinical guidelines are a means for specifying the “best” clinical procedures and for standardizing them
Adopting (computer-based) clinical guidelines is advantageous
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GLARE(GuideLine Acquisition Representation and
Execution)
- Joint project:Dept. Comp. Sci., Univ. Alessandria (It): P. Terenziani, S.Montani, A.BottrighiDept. Comp. Sci., Univ. Torino (It): L.Anselma,G.CorrendoAz. Osp. S. Giovanni Battista, Torino (It): G.Molino, M.Torchio
- Domain independent (e.g., bladder cancer, reflux esophagitis, heart failure)
- Phisician-oriented & User-friendly
Some recent pubblications:Terenziani et al., AIIMJ 01,07a,07b, AMIA 00,02,03, Medinfo 04, CGP’04a,04b, AI*IA 03,05, GIN 04,05, AIME 05a,05b,05c
AMIA’06 posters T020 and M010AMIA’06 paper in session S52
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Representation Formalism
Tree of graphs
Atomic actions
Composite actions (plans)
Control relations between actions:- sequence
- “controlled”
- alternative
- repetition (e.g. “3 times each 2
days for a month”)
A BC
B1 B2
B1.1
B1.2 B2.1
B2.2
B2.3
CG
B
B1
B2
D
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Representation FormalismHierarchy of Action Types
Action
Plan QueryWork action ConclusionDecision
Clinical action
Pharmacol.prescription
Diagnosticdecision
Therapeuticdecision
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Representation Formalismdescription of a work action
basicdescription
namedescription (text)
contextualcosttimeresources
cycles
frame time
delay
granularity
execution timerepetition
exit_condition
logical
must includemay includemust excludemay excludeconflicts
preconditions
goals (text)
grouping
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Therapeutic decisions
Fixed set of parameters (effectiveness, cost, side-effects, compliance, duration)
Treatment choice for symptomless gallbladder stones
Treatment choice
Surgical treatment
Expectant management
Litholitic therapy
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Local information associated with treatment choice (in the symptomless gallbladder stones guideline)
Strategy Effectiveness Cost Duration Compliance Side effects
Expectant
management
- - - ++++ -
Surgery +++ ++ + - ++
Litholytic therapy + ++ +++ ++ +
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Diagnostic Decisions
* Decision parameters<finding, attribute, value>
* Decision criteriascore-based mechanism
For each alternativeFor each parameter score
(additive) threshold range
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Diagnostic Decisions(Gastro Esophageal Reflux Disease)
PARAMETERS: heartburn absent (“no-hb”), heartburn lasted not more than 3 months (“hb=<3”), heartburn r lasted more than 3 months (“hb>3m”); dysphagia absent (“no-dys”); dysphagia present (“dys”); occurrence of weight loss (“wl”) or non-occurrence (“no-wl”); hemathemesis absence (“no-hem”); hemathemesis presence (“hem”); postural reflux absent (“no-ref”), postural reflux lasted not more than 3 months (“ref=<3”); postural reflux lasted more than three months (“ref>3m”). THRESHOLD: >9. (One should conclude “no GERD” only if heartburn, dysphagia, weight loss, hematemesis and postural reflux are all absent.)
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Architecture of the system
Clinical DB
Pharmac. DB
Resource DB
ICD DB
ExpertPhysician
AcquisitionInterface
Guidelines DB
Knowledge Manager
UserPhysician
ExecutionInterface
Guidelines Instantiation DB
PatientDB
ExecutionModule
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Acquisition
Strict interaction with DB’s
Clinical DB hierarchically organized vocabulary Standardization Data sharing Support for semantic checks (e.g., legal attribute values)
NOTE: the organization (schema) of Patients DB is equal to the one of the Clinical DB During acquisition, GLARE gets the information used at execution-time to retrieve automatically the patient’s data (via automatically generated dynamic-SQL queries)
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Acquisition“Intelligent” helps (syntactic & semantic checks)
- “legal” names & “legal” values for attributes
- “logical” design criteria (no unstructured cycles, well-formed alternatives & decisions)
- “semantic” checks: consistency of temporal constraints
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AcquisitionGraphical Interface
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Agenda-based execution
In the agenda
- next actions to be executed
- execution time (earliest and latest e.t.)
“On-line” execution: wait until the next e.t.(support physician in clinical activity)
“Simulated” execution: jump to the next e.t.(education, critique, evaluation)
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Executing atomic actions
Work actions:- evaluate pre-conditions- execute action within its range of time- delete from the agenda
Query actions:- retrieve data from patient’s DB- wait for data not already in the DB, or for the update of “expired” data
Conclusion actions:- insert conclusion into the patient’s DB
Decision actions: (see alternatives)
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Executing composite actions
Sequence:- evaluate next action e.t. (given current time and delay)- execute it
Concurrent actions:- execute actions according with the temporal constraints
Decision + alternative actions (e.g., diagnostic decision):- evaluate parameter values for each alternative, using patient’s DB- determine the score for each alternative- compare the score with the threshold- show the alternatives to the user-physician (distinguishing between
“suggested” and “not suggested” ones, and showing parameters and scores)
- execute the alternative chosen by the physician (warning available)
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Executing Clinical Guidelines: other issues
Exits
Failuresreturn to previous decisions (chronological vs. guided backtracking)
Repeated actions and user-defined periodicities- expressive language for user-defined periodicities [IEEE TKDE, 97]- computing next execution time
A user-friendly graphical interface
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Implementation & Testing
Prototypical version (Java + Access) under revision
TESTS(1) Using GLARE to build guidelines from scratch
take advantage of grafical and “intelligent checks” facilities- bladder cancer algorithm
(2) Converting guidelines on paper to GLAREinconsistencies/ambiguities detected!- reflux esophagitis, heart failure, ischemic stroke
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Advanced features in GLARE:Supporting medical decision making
“local information”: considering just the decision criteria associated with the specific decision at hand
“global information”: information stemming from relevant alternative pathways in the guideline
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Advanced features in GLARE:Supporting medical decision making:
the “What if” facility
Facility for gathering the chosen parameter (e.g, resources, costs, times) from the “relevant” alternative paths on the guideline
It provides an idea of what could happen in the rest of the guideline if the physician selects a given alternative for the patient, and supports for comparisons of the alternatives
Enhanced with an application of “Decision Theory” methodology, to provide an advanced tool to consider costs (money, time, resources) and utility of alternative sequences of actions (QALYs)
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Syntomless gallbladder stonestreatment choice: “global information”
Treatment choice
Surgical treatment
Expectant management
Litholitic therapy
Litholitic treatment
Choice ofsurgical appr.
Laparoscopy
Laparotomy
Laparoscopy
Laparotomy
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Syntomless gallbladder stonestreatment choice: “global information”
Treatment choice
Surgical treatment
Expectant management
Litholitic therapy
Litholitic treatment
Choice ofsurgical appr.
Laparoscopy
Laparotomy
Laparoscopy
Laparotomy
Duration min:2 days Max:3 days
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Syntomless gallbladder stonestreatment choice: “global information”
Treatment choice
Surgical treatment
Expectant management
Litholitic therapy
Litholitic treatment
Choice ofsurgical appr.
Laparoscopy
Laparotomy
Laparoscopy
Laparotomy
Duration min:6 days Max:8 days
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Syntomless gallbladder stonestreatment choice: “global information”
Treatment choice
Surgical treatment
Expectant management
Litholitic therapy
Litholitic treatment
Choice ofsurgical appr.
Laparoscopy
Laparotomy
Laparoscopy
Laparotomy
Duration min:1 day Max: all life long
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Syntomless gallbladder stonestreatment choice: “global information”
Treatment choice
Surgical treatment
Expectant management
Litholitic therapy
Litholitic treatment
Choice ofsurgical appr.
Laparoscopy
Laparotomy
Laparoscopy
Laparotomy
Duration min:2 months Max:1 year
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Local information associated with treatment choice (in the symptomless gallbladder stones guideline)
Strategy Effectiveness Cost Duration Compliance Side effects
Expectant
management
- - - ++++ -
Surgery +++ ++ + - ++
Litholytic therapy + ++ +++ ++ +
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Digression 2Why don’t we put “global info (about paths)” locally in the decision
actions?
Given “local info” in each node, collecting & storing might be automatic
HOWEVER:
- exponential space in each node
- data duplication (consistency after updates?)
- not user friendly (too many data!)
- not all aternatives are “relevant”
- data not always necessary
>> global data only at execution time, on request
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Advanced features in GLARE
Management of temporal constraints
>>>>> AMIA06 poster T020 Session S50Terenziani et al., Proc. AMIA’03Terenziani et al., Artificial Intelligence in Medicine Journal, to appear
Contextualization facilities
>>>>>> AMIA06 poster M010 Session S13Terenziani et al., Proc. Medinfo’04, AIME’05
Model-checking facilities
>>>>> AMIA06 paper, session S52Terenziani et al., ECAI’06 Guidelines worshop