Clinical Information Modeling Initiative Complements of the CIMI team and task forces Especially Stanley M. Huff, MD Chief Medical Informatics Officer.

Clinical Information Modeling Initiative Complements of the CIMI team and task forces Especially Stanley M. Huff, MD Chief Medical Informatics Officer Intermountain Health (Utah) Infoway SCSC June 27, 2012 Presented by Dennis Giokas, Chief Technology Officer

Agenda Mission and Goals Scope Why a new paradigm? Roadmap
Logical Models Isosemantic Models Terminology Decisions to Date Next Steps

Clinical Information Modeling Initiative
Mission Improve the interoperability of healthcare systems through shared implementable clinical information models.

Clinical Information Modeling Initiative
Goals Meet the needs of the clinical modeling community – everyone contributing, benefiting, and actively involved Shared repository of detailed clinical information models Using a single formalism Based on a common set of base data types With formal bindings of the models to standard coded terminologies Repository is open and models are free for use at no cost

Strategic Goals Minimum goal: Be able to share applications, reports, alerts, protocols, and decision support with ALL GE customers Maximum goal: Be able to share applications, reports, alerts, protocols, and decision support with anyone in the WORLD

Clinical Modeling Activities
Netherlands/ISO Standard CEN 13606 United Kingdom – NHS Singapore Sweden Australia openEHR Foundation Canada US Veterans Administration US Department of Defense Intermountain Healthcare Mayo Clinic HL7 Version 3 RIM, message templates TermInfo CDA plus Templates Detailed Clinical Models greenCDA Tolven NIH/NCI – Common Data Elements, CaBIG CDISC SHARE Korea

What Do We Want To Model All data in the patient’s clinical record, including: Allergies Problem lists Laboratory results Medication and diagnostic orders Medication administration Physical exam and clinical measurements Signs, symptoms, diagnoses Clinical documents Procedures Family history, medical history and review of symptoms

Intermountain’s Modeling Initiative
Number of models created Laboratory models – 2933 Evaluations – 210 Measurements – 353 Assertions – 143 Procedures – 87 Qualifiers, Modifiers, and Components Statuses – 26 Date/times – 27 Others – 400+

Value Proposition of CIMI
Sharing of: Data Information Application Decision logic Reports Knowledge

Modeling Contexts Messages Services, e.g. service calls
Decision logic (queries of EHR data) EHR data storage Clinical trials data (clinical research) Normalization of data for secondary use Creation of data entry screens Order entry Natural Language Processing

What Is Needed to Create a New Paradigm?
Standard set of detailed clinical data models coupled with… Standard coded terminology Standard API’s (Application Programmer Interfaces) for healthcare related services Open sharing of models, coded terms, and API’s Sharing of decision logic and applications

Model & terminology must be done together
Terminology models and information models Models made by data modelers (message standards) Models made by terminology groups (maintenance of terms) “Impedance mismatch” arises when one group is making terms and another group is making the model Post coordination in a single field in the model is just a way of hiding part of the model

Some Principles CIMI is about implementation. There must be at least one way to implement the models in a popular technology stack that is in use today. The models should be as easy to implement as possible. Only use will determine if we are producing anything of value Approve “Good Enough” Reference Model and Data Types Get practical use ASAP Change Reference Model and Data Types based on use

Specific Specializations
V2 “|” HTML UML ADL V2 XML V3 XML V3 Next CEN Archetype CDA SOA Payload CEM LRA OWL CDISC SHARE Translators Standard Terminologies DCMs CDA Templates openEHR Archetypes CEN LRA Models CMETs, HMDs RMIMs CEMs Repository of Shared Models in a Single Formalism Realm Specific Specializations Initial Loading of Repository

Roadmap Choose a single formalism
Choose the initial set of agreed data types Define strategy for the core reference model and our modeling style and approach Development of “style” will continue as we begin creating content

Roadmap (cont) Create an open shared repository of models
Requirements Find a place to host the repository Select or develop the model repository software Create model content in the repository Start with existing content that participants can contribute Must engage clinical experts for validation of the models

Roadmap (cont) Create a process (e.g. editorial board) for curating and management of model content Resolve and specify IP policies for open sharing of models Find a way of funding and supporting the repository and modeling activities Create tools/compilers/transformers to other formalisms Must support at least ADL, UML/OCL, Semantic Web, HL7 Create tools/compilers/transformers to create what software developers need Examples: XML schema, Java classes, CDA templates, greenCDA, FHIR, SMART RDF, etc.

Definition of “Logical Model”
Models show the structural relationship of the model elements (containment) Coded elements have explicit binding to allowed coded values Models are independent of a specific programming language or type of database Support explicit, unambiguous query statements against data instances

Definition of “Logical Model” (cont)
Models shall specify a single unit of measure (unit normalization) Models can support inclusion of processing knowledge Models can support recommend defaults Models can specify assumed values of attributes (meaning of absence of the item) Examples can be created for the model

Isosemantic Models - Definition
A model that, while different in structure, represents the same semantic content as a second model

Isosemantic Models User interface models Storage models
Convenient for data entry Typically pre-coordinated Many variations Storage models Only one model is designated as the storage model Comprehensive set of qualifiers and modifiers The storage model is referenced in reports, rules, protocols, data analysis Composition – Decomposition mappings

Fully Atomic SysBP Model
data 138 mmHg SystolicBP SystolicBPObs Subject subject BodyLocation bodyLocation plus “Standard Qualifiers” BodySite bodySite BodyLaterality bodyLaterality MethodDevice methodDevice BodyPosition bodyPosition

Post Coordinated subject, loc, device, position
data 138 mmHg SystolicBP SystolicBPObs mods Subject subject BodyLocationPrecoord bodyLocationPrecoord plus “Standard Qualifiers” MethodDevice methodDevice BodyPosition bodyPosition quals

Most Pre-Coordinated Model
data 138 mmHg PatientSystolicBPRightArmSittingAdultCuff PatientSystolicBPRightArmSittingAdultCuffObs quals AbnormalFlag abnormalFlag DeltaFlag deltaFlag ReferenceRangeNar referenceRangeNar RelativeTemporalContext relativeTemporalContext Observed observed ReportedReceived reportedReceived Verified verified “Standard Qualifiers” In Subsequent Models

Isosemantic Models – Example of Problem
e.g. “Suspected Lung Cancer” Complements of Singapore MOHH

Isosemantic Models – Example Instances
e.g. “Suspected Lung Cancer”

IsoSemantic Models – Compositional Grammar
(

Isosemantic Models CIMI is committed to isosemantic clinical models in terms of both: The ability to transform CIMI models into iso-semantic representations in other languages/standards (e.g. OWL, UML, HL7); The ability to transform CIMI models between iso-semantic representations that use a different split between terminology pre-coordination versus structure.

Isosemantic Models Only include isosemantic models in the repository when they are useful Re-use of transforms by other enterprises Re-use of transforms by other processes Lab data transforms Data normalization for clinical trials or secondary use Repository requirement Know which models are part of the same isosemantic family Transform rules may be reused based on “type of model” Only difference may be terminology mapping

Terminology SNOMED CT will be the primary reference terminology
LOINC was also approved as a reference terminology In the event of overlap, SNOMED CT will be the preferred source CIMI will propose extensions to the reference terminologies when needed concepts do not exist CIMI will maintain the extensions until they are accepted by the RT organization

Terminology The primary version of models will only contain references (pointers) to value sets We will create tools that read the terminology tables and create versions of the models that contain enumerated value sets

Three Task Forces Glossary Reference Model Clinical Models
See Appendices for the first two items

Decisions (London, Dec 1, 2011)
We agree to create and use a single logical representation (the CIMI core reference model) comprising one or more models as the basis for interoperability across formalisms. We approve ADL 1.5 as the initial formalism in the repository using OpenEHR Constraint Model noting that modifications are required. The corresponding Archetype Object Model will be included and adapted as the CIMI UML profile The CIMI UML profile will be developed concurrently as a set of UML stereotypes, XMI specification and transformations

Decisions (London, Dec 1, 2011)
We will create a workplan to say how we review and update the Constraint Model, reference models and languages including HL7 Clinical Statement Pattern and Entry model of / OpenEHR. The workplan to be approved in January. The CIMI information model as described in the UML profile must be consistent with the evolving AOM. We will ensure this consistency by creating a single technical working group.

Key Decisions from the Pleasanton & Vancouver Meeting in May
CIMI held its 6th group meeting from May 10 – 12, 2012 in Pleasanton California and via video conference in Vancouver. Over 40 people attended in person at the two locations with additional participants attending via WebEx. At this meeting, the group: Reviewed, revised, and approved a reference model developed by the Reference Model Task Force Agreed to undertake work to map existing clinical models to the reference model Agreed to establish a new Modeling Task Force to oversee the clinical model mapping Establish participation guidelines for members of CIMI task forces Reviewed the work of the Glossary Task Force Agreed that CIMI should not become a separate organization and that an RFI should be issued to identify a parent organization and determine the contributions of collaborating organizations Reviewed the draft RFP to be presented to OMG Began plans for next face-to-face meeting in September/October 2012

Next Steps - RFI The CIMI IEC is nearing completion of the Request for Information to solicit proposals for the following: Organizational infrastructure: CIMI’s primary focus is on the development of specifications and models. Since CIMI strongly prefers to not create a new organizational structure we are requesting information about how an organization might support CIMI with administrative support, overall governance, and collaboration with other SDOs and major stakeholders. We are interested in an assessment of the resources, facilities, people or skills that collaborating members would be willing to provide Intellectual property (including models and tooling): The development of CIMI models will require the integration of intellectual property (IP) from a number of organizations. The RFI lays out a series of intellectual property issues and asks for suggestions on how these might be addressed.

Next Steps – Reference Model Validation
Several clinical models will be used for mapping to the CIMI Reference Model. Various examples of these models will be contributed by CIMI members and will be uploaded to the CIMI wiki. The models are: Heart rate (observation entry/measurement) Apgar Score (Entry) BMI (grouping for calculation) Apgar Score (Entry) Glucose tolerance (Entry) Adverse reaction report (composition) Medication order (composition) Problem list (Composition) Care giver reported Nausea (observation entry/assertion) Wound culture (Reflex test results, e.g., automatically triggered orders based on a result) The reference and clinical model TFs will be combined and work together

Next Steps – Organizational Structure
By consensus the meeting participants agreed that CIMI should not become an organization, but should look to affiliate with another organization. The IEC will continue to work on the development of and circulation of an RFI to lay the groundwork for such an affiliation

More information and WIKI

Thank you

Appendices

Glossary - Charter To define terms and abbreviations that are used in communication relating to CIMI and which may not be commonly understood, or those required for logically grouping these terms, and to document these definitions in a commonly accessible glossary Criterion for what “may not be commonly understood”: whether there has been debate, or such debate might reasonably be predicted

Glossary – SKMT Glossary Tool
Joint Initiative Council of Health Informatics Standards Development Organisations Best practices documented in ISO TC 215/SC Development of terms and definitions for the Health Informatics Glossary Allows batch upload of terms Includes harmonisation process

Reference Model - Mission
To define a candidate CIMI reference model Define a set of requirements for the CIMI reference model Define or choose a candidate CIMI reference model Work with the Clinical Modeling taskforce to test the candidate reference model in the development of a set of initial clinical information models Compare the candidate CIMI reference model with the requirements to identify gaps Present the results at the face-to-face meeting in May

Reference Model - Definition
The CIMI Reference Model is the underlying Reference Model on which CIMI’s clinical models will be defined. This reference model defines a rigorous and stable set of modelling patterns, including a set of structural patterns, complex data types and demographic classes. All CIMI clinical models (i.e. archetypes) will be defined by constraining the CIMI reference model. Each example instance of a CIMI Clinical Model will be an instance of the CIMI reference model, which conforms to the constraints defined by the associated clinical model.

Reference Model Team Members
Linda Bird (Chair) – Ministry of Health Holdings, Singapore Michael van der Zel – Results4Care & LifeLines Gerard Freriks, EN13606 Association Josh Mandel, SMART Thomas Beale – Ocean Informatics Dave Carlson Stephen Chu – NeHTA Michael Lincoln Rahil Qamar Siddiqui Mark Shafarman GE/Intermountain - TBD

Reference Model - Requirements
General Technical Support for architectural framework Multiple purpose & outputs Realm-specific specialisations & extensions (*) Move clinically-relevant attributes to clinical patterns Model mapping & query support (*) Versioning & Approval status (*) Stability General governance Governance, cost and licensing Clinician verification (*) Inter-organisation semantic interoperability

Structural Data elements Relationships / Links Data groups Tree structure Entry / Clinical statement Composition Data absent Information Pattern Concept model Participation Parties and roles

Terminology Binding Semantic / Value / Name binding (*) Relationship semantics (*) Concept model terminology definition (*) Translations Datatype Common datatypes Datatype constraints & mappings Inheritance from single type Primitive & string-based datatypes Complex datatypes Attachment, Ordinal, Codeable concept, Coding, Identifier, Interval, Quantity, Ratio

Reference Model - Resolution
By formal vote of the CIMI membership present the following resolution was passed unanimously: Resolution: The reference model presented by the Reference Model Task Force is endorsed as a starting point and establishes the direction that CIMI wishes to take. We expect that this model will be tested and modified as modeling work continues.

Reference Model Selection – Starting Point
openEHR reference model selected as starting point by 6 of 9 members Reasons The range of existing archetypes, tooling, infrastructure, methodology and documentation; Established reference model tested by multiple authoring participants; Can benefit from lessons learned by many implementations; Able to start designing clinical models straight away; Demonstrable use within a two-level modelling architecture; Specification is freely available on the web to read and redistribute without cost; Willingness of the organisation to work with CIMI and make changes as needed to meet CIMI’s needs Concerns Complexity of current model - a simplified model is preferred; Need to bridge the gap between the model and the requirements; Requires us to work together to simplify and improve It is not a standard, and there are IP concerns relating to the specifications Requires work to develop a UML-based profile and editing environment

Clinical Information Modeling Initiative Complements of the CIMI team and task forces Especially Stanley M. Huff, MD Chief Medical Informatics Officer.

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Clinical Information Modeling Initiative Complements of the CIMI team and task forces Especially Stanley M. Huff, MD Chief Medical Informatics Officer.

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