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Committee on Credible Practice of Modeling & Simulation in Healthcare |
Committee on Credible Practice of Modeling & Simulation in Healthcare |
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DEFINITIONS Credible Practice of Modeling & Simulation in Healthcare dependable with a desired certainty level to guide research or support decision making within a prescribed application domain and intended use; establishing reproducibility & accountability DEFINITIONS Credible Practice of Modeling & Simulation in Healthcare any activity involving development, solution, interpretation and application of computational representation of biological, environmental and man-made systems and their interaction thereof DEFINITIONS Credible Practice of Modeling & Simulation in Healthcare specifically computational modeling; virtual representation of system(s) of interest in a usable form in order to provide descriptive and predictive metrics for timely and systematic exploration of the system(s) DEFINITIONS Credible Practice of Modeling & Simulation in Healthcare computational solution of models to quantify descriptive and predictive metrics of system(s) of interest; including related post-processing efforts to calculate these metrics from raw analysis results DEFINITIONS Credible Practice of Modeling & Simulation in Healthcare any activity involving development, maintenance, advancement, or administration of medical care; including research, diagnosis, risk assessment, prevention, therapy, rehabilitation, surgery, intervention design, and regulation |
'''DEFINITIONS''' '''__Credible__ Practice of Modeling & Simulation in Healthcare''' dependable with a desired certainty level to guide research or support decision making within a prescribed application domain and intended use; establishing reproducibility & accountability '''Credible __Practice__ of Modeling & Simulation in Healthcare''' any activity involving development, solution, interpretation and application of computational representation of biological, environmental and man-made systems and their interaction thereof '''Credible Practice of __Modeling__ & Simulation in Healthcare''' specifically computational modeling; virtual representation of system(s) of interest in a usable form in order to provide descriptive and predictive metrics for timely and systematic exploration of the system(s) '''Credible Practice of Modeling & __Simulation__ in Healthcare''' computational solution of models to quantify descriptive and predictive metrics of system(s) of interest; including related post-processing efforts to calculate these metrics from raw analysis results '''Credible Practice of Modeling & Simulation in __Healthcare__''' any activity involving development, maintenance, advancement, or administration of medical care; including research, diagnosis, risk assessment, prevention, therapy, rehabilitation, surgery, intervention design, and regulation '''NEED''' * Clinical urgency - There is a pressing need to utilize computational modeling & simulation to support clinical research and decision making in healthcare. - There is a gap in mechanisms or processes for translating computational models to the clinical practice. * Research diversity - Within and across mathematical and biological disciplines, subject matter experts tend to have their own interpretation of credibility assessment. - Tools and good practice recommendations do not readily transfer across disciplines or are not adopted by different fields. |
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* Clinical urgency - There is a pressing need to utilize computational modeling & simulation to support clinical research and decision making in healthcare. - There is a gap in mechanisms or processes for translating computational models to the clinical practice. * Research diversity - Within and across mathematical and biological disciplines, subject matter experts tend to have their own interpretation of credibility assessment. - Tools and good practice recommendations do not readily transfer across disciplines or are not adopted by different fields. |
* Challenges of multiscale analysis - Multiscale simulations require re-use of subsidiary models, which may have varying (or unknown) credibility. - Propagation of uncertainties of a given scale for multiscale analysis can be complicated. * Scattered activities - In modeling & simulation (M&S) world, a plethora of commendable yet unconnected scientific and community activities exist for - verification & validation - uncertainty estimation - error propagation - evidence based assessment - reporting recommendations - model exchange and dissemination - standards and mark-up development - documentation |
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* Challenges of multiscale analysis - Multiscale simulations require re-use of subsidiary models, which may have varying (or unknown) credibility. - Propagation of uncertainties of a given scale for multiscale analysis can be complicated. * Scattered activities - In modeling & simulation (M&S) world, a plethora of commendable yet unconnected scientific and community activities exist for - verification & validation - uncertainty estimation - error propagation - evidence based assessment - reporting recommendations - model exchange and dissemination - standards and mark-up development - documentation NEED None of us are experts in everything. We need to learn from each other. Credible practice of modeling and simulation in healthcare requires ongoing inclusive communications to establish adaptive workflows that can be utilized broadly. |
None of us are experts in everything. We need to learn from each other. Credible practice of modeling and simulation in healthcare requires ongoing inclusive communications to establish adaptive workflows that can be utilized broadly. |
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* Identify translational research directions to leverage readily available techniques to increase credibility of modeling and simulation in healthcare, e.g., |
* Identify translational research directions to leverage readily available techniques to increase credibility of modeling and simulation in healthcare, e.g., |
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ACTIVITY CYCLE: *** TBD IMAGE should go here |
ACTIVITY CYCLE: *** TBD IMAGE should go here |
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Committee Presentation
This page will contain the up to date committee presentation. Discussions regarding the page can be found at the bottom of the page.
Committee on Credible Practice of Modeling & Simulation in Healthcare
prepared by
Committee Co-Chairs
Interagency Modeling and Analysis Group
Multiscale Modeling Consortium
April 12, 2013
DEFINITIONS
Credible Practice of Modeling & Simulation in Healthcare
dependable with a desired certainty level to guide research or support decision making within a prescribed application domain and intended use; establishing reproducibility & accountability
Credible Practice of Modeling & Simulation in Healthcare
any activity involving development, solution, interpretation and application of computational representation of biological, environmental and man-made systems and their interaction thereof
Credible Practice of Modeling & Simulation in Healthcare
specifically computational modeling; virtual representation of system(s) of interest in a usable form in order to provide descriptive and predictive metrics for timely and systematic exploration of the system(s)
Credible Practice of Modeling & Simulation in Healthcare
computational solution of models to quantify descriptive and predictive metrics of system(s) of interest; including related post-processing efforts to calculate these metrics from raw analysis results
Credible Practice of Modeling & Simulation in Healthcare
any activity involving development, maintenance, advancement, or administration of medical care; including research, diagnosis, risk assessment, prevention, therapy, rehabilitation, surgery, intervention design, and regulation
NEED
- Clinical urgency
- There is a pressing need to utilize computational modeling & simulation to support clinical research and decision making in healthcare.
- There is a gap in mechanisms or processes for translating computational models to the clinical practice.
- Research diversity
- Within and across mathematical and biological disciplines, subject matter experts tend to have their own interpretation of credibility assessment.
- Tools and good practice recommendations do not readily transfer across disciplines or are not adopted by different fields.
NEED
* Challenges of multiscale analysis
- Multiscale simulations require re-use of subsidiary models, which may have varying (or unknown) credibility.
- Propagation of uncertainties of a given scale for multiscale analysis can be complicated.
* Scattered activities
- In modeling & simulation (M&S) world, a plethora of commendable yet unconnected scientific and community activities exist for
- verification & validation
- uncertainty estimation
- error propagation
- evidence based assessment
- reporting recommendations
- model exchange and dissemination
- standards and mark-up development
- documentation
NEED
None of us are experts in everything. We need to learn from each other. Credible practice of modeling and simulation in healthcare requires ongoing inclusive communications to establish adaptive workflows that can be utilized broadly.
CHARGE
* Adopt a consistent terminology
* Propose guidelines and procedures for credible practice
* Demonstrate workflows for credible practice
* Promote good practice
CHARGE
Adopt a consistent terminology
* Clearly describe committee's understanding of modeling and simulation vocabulary, e.g.,
- model
- simulation
- multiscale
- verification
- validation
- uncertainty
- sensitivity
- credibility
- accreditation
* Consistently use appropriate vocabulary for communication
* Unify discipline-specific appreciation of modeling and simulation vocabulary
Propose guidelines and procedures for credible practice
* Identify translational research directions to leverage readily available techniques to increase credibility of modeling and simulation in healthcare, e.g.,
- verification and validation
- uncertainty quantification
? Establish guidelines to implement readily available model evaluation techniques which are aware of the constraints of clinical practice
? Define novel translational workflows to enhance credibility of models and simulation processes
CHARGE
Demonstrate workflows for credible practice
* Summarize state-of-the-art by identifying examples in literature and in field practice for the development of model credibility assessment procedures
* Conduct studies, ideally with proposed guidelines and procedures, for the implementation of credibility assessment procedures in modeling and simulation in healthcare
* Disseminate examples of credibility assessment by providing a repository of case studies on the implementation of proposed guidelines and procedures for different types of M&S
CHARGE
Promote good practice
* Bridge synergistic activities of establishing confidence in simulation-based medicine conducted by
- modeling and simulation communities
- scientific societies
- clinical practitioners
- regulatory agencies
* Outreach to advocate credible practice of modeling and simulation through increased awareness and training; by providing
- webinars
- lectures
- guidelines
ORGANIZATION
COMMITTEE Co-Chairs & Members: EXECUTE & CHARGE
ADVISORY COUNCIL: REVIEW & ADVISE
Interagency Modeling and Analysis Group (IMAG)
Multiscale Modeling Consortium (MSM)
ACTIVITY CYCLE: *** TBD IMAGE should go here
ROLES & EXPECTATIONS
Committee Co-Chairs (2)
* Provide leadership and guidance to the Committee
* Assign tasks to Committee Members to realize charge of the Committee and incorporate their work to reach Committee end-products
- Serve as Committee Members, i.e., take on and fulfill assigned tasks to realize charge of the Committee
- Report to Advisory Council and implement their feedback
- Report to IMAG/MSM and implement their feedback
- Evaluate performance of Committee Members
- Evaluate performance of Advisory Council
- Share authority and responsibilities equally
ROLES & EXPECTATIONS
* Committee Members (10 including Co-Chairs)
- Complete assigned tasks (on schedule) to realize charge of the Committee and prepare Committee end-products
- Report to the Committee and implement their feedback
- Represent a particular discipline and an area of practice to diversify Committee interests and reach out
- Evaluate performance of Committee Co-Chairs
- Evaluate performance of Advisory Council
- Expect to invest 8 hours of effort per month
ROLES & EXPECTATIONS
* Advisory Council
- Review Committee activities (on schedule) and provide feedback on the pathway for realization of the charge of the Committee and for preparation of Committee end-products
- Represent a particular discipline and an area of practice to broaden Committee affairs and reach out
- Evaluate performance of Committee Co-Chairs
- Evaluate performance of Committee Members
- Expect to invest 1 hour of effort per month
PARTICIPATION
Committee Co-Chairs (2)
* Nominated and elected by the Committee Members and the Advisory Council
* 2 year term with possibility of reappointment
* Elections 6 months prior to end of term
* Continuing post subject to commitment to leadership
* Ideally, one from IMAG and the other from MSM
* First-term (04/2013- 04/2015) appointed via IMAG consensus
- Lealem Mulugeta (NASA, IMAG representative)
- Ahmet Erdemir (Cleveland Clinic, MSM-WG representative)
PARTICIPATION
Committee Members (10 including Co-Chairs)
* Participation through nomination and invitation
* 2 year term with possibility of reappointment
* Continuing membership subject to commitment to timely completion of tasks
* Multidisciplinary background
- clinicians
- mathematicians
- biologists
- engineers
- statisticians
- computer scientists
- product developers
PARTICIPATION
Committee Members (10 including Co-Chairs)
* Wide variety of groups
- IMAG representatives
- MSM working groups
- External representatives
- Professional Societies
- Regulatory Agencies
- Funding Agencies
PARTICIPATION
Advisory Council
* Participation through nomination and invitation
- 2 year term with possibility of reappointment
- Continuing membership subject to commitment to providing feedback in a timely manner
- Substantial experience and expertise in respective areas of interest
FIRST-TERM (2013-2015) GOALS
* Form the Committee and the Advisory Council
* Establish infrastructure for communications between Committee Co-Chairs and Members, and Advisory Council
* Establish a web-based framework for development, community interactions, and dissemination
* Develop a guidance document on establishing credible practice of modeling and simulation in healthcare
* Draft a proposed model certification process
FIRST-TERM (2013-2015) TIMELINE
by April 30, 2013
* Establish communication infrastructure
* Establish web-based framework
* Appoint Committee Members
* Introductory meeting with Committee Members
* Discuss objectives, roles & assign tasks
by May 31, 2013
* Meeting with Committee Member to review first set of tasks
* Appoint Advisory Council
* Introductory meeting with Advisory Council
* Discuss objectives, roles & summarize progress
by June 30, 2013
* Working outline of guidance document
by MSM 2013 meeting
* Community outreach to summarize progress and plans
by April 30, 2014
* First draft of guidance document for external review
by October 31, 2014
* Release of guidance document
by November 30, 2014
* Journal article/white paper based on guidance document
* Outline of model certification process
* Co-Chairs; nominations and election
through December 2014 – April 2015
* Co-Chairs; transition
* First draft of proposed model certification process
CONTACT
CHECK https://simtk.org/home/cpms
Lealem Mulugeta
Committee Co-Chair
Ahmet Erdemir
Committee Co-Chair