Differences between revisions 2 and 5 (spanning 3 versions)
Revision 2 as of 2013-07-02 03:45:04
Size: 10138
Editor: jbarhak
Comment:
Revision 5 as of 2013-07-02 03:56:53
Size: 10396
Editor: jbarhak
Comment:
Deletions are marked like this. Additions are marked like this.
Line 5: Line 5:

Committee on Credible Practice of
Modeling & Simulation in Healthcare
Committee on Credible Practice of Modeling & Simulation in Healthcare
Line 9: Line 8:
Line 10: Line 10:
Line 11: Line 12:
Line 12: Line 14:
Line 13: Line 16:
Line 15: Line 19:

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.
Line 59: Line 54:
* 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
Line 68: Line 82:
* 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.
Line 93: Line 86:
Line 94: Line 88:
Line 95: Line 90:
Line 96: Line 92:
Line 98: Line 95:
Line 100: Line 96:
Line 101: Line 98:
Line 102: Line 100:
Line 103: Line 102:
Line 104: Line 104:
Line 105: Line 106:
Line 106: Line 108:
Line 107: Line 110:
Line 108: Line 112:
Line 109: Line 114:
Line 110: Line 116:
Line 113: Line 120:
Line 115: Line 123:

Line 118: Line 124:
* 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.,
Line 122: Line 128:
Line 123: Line 130:
Line 124: Line 132:
Line 126: Line 135:
Line 128: Line 136:
Line 129: Line 138:
Line 130: Line 140:
Line 131: Line 142:
Line 133: Line 145:
Line 135: Line 146:
Line 136: Line 148:
Line 137: Line 150:
Line 138: Line 152:
Line 139: Line 154:
Line 140: Line 156:
Line 141: Line 158:
Line 142: Line 160:
Line 143: Line 162:
Line 144: Line 164:
Line 146: Line 167:
Line 148: Line 168:
Line 153: Line 174:
Line 155: Line 177:

ACTIVITY CYCLE:
*** TBD IMAGE should go here
ACTIVITY CYCLE: *** TBD IMAGE should go here
Line 161: Line 180:
Line 162: Line 182:
Line 163: Line 184:
Line 164: Line 186:
Line 165: Line 188:
Line 166: Line 190:
Line 167: Line 192:
Line 168: Line 194:
Line 169: Line 196:
Line 171: Line 199:

Line 174: Line 200:
Line 175: Line 202:
Line 176: Line 204:
Line 177: Line 206:
Line 178: Line 208:
Line 179: Line 210:
Line 180: Line 212:
Line 182: Line 215:

Line 185: Line 216:
Line 186: Line 218:
Line 187: Line 220:
Line 188: Line 222:
Line 189: Line 224:
Line 190: Line 226:
Line 192: Line 229:
Line 194: Line 230:
Line 195: Line 232:
Line 196: Line 234:
Line 197: Line 236:
Line 198: Line 238:
Line 199: Line 240:
Line 200: Line 242:
Line 201: Line 244:
Line 202: Line 246:
Line 205: Line 250:
Line 206: Line 252:
Line 207: Line 254:
Line 208: Line 256:
Line 209: Line 258:
Line 210: Line 260:
Line 211: Line 262:
Line 212: Line 264:
Line 213: Line 266:
Line 214: Line 268:
Line 215: Line 270:
Line 216: Line 272:
Line 219: Line 276:
Line 220: Line 278:
Line 221: Line 280:
Line 222: Line 282:
Line 223: Line 284:
Line 224: Line 286:
Line 225: Line 288:
Line 226: Line 290:
Line 229: Line 294:
Line 230: Line 296:
Line 231: Line 298:
Line 232: Line 300:
Line 233: Line 302:
Line 235: Line 305:
Line 237: Line 306:
Line 238: Line 308:
Line 239: Line 310:
Line 240: Line 312:
Line 241: Line 314:
Line 244: Line 318:
Line 245: Line 320:
Line 246: Line 322:
Line 247: Line 324:
Line 248: Line 326:
Line 249: Line 328:
Line 250: Line 330:
Line 251: Line 332:
Line 252: Line 334:
Line 253: Line 336:
Line 254: Line 338:
Line 255: Line 340:
Line 256: Line 342:
Line 257: Line 344:
Line 258: Line 346:
Line 259: Line 348:
Line 260: Line 350:
Line 261: Line 352:
Line 262: Line 354:
Line 263: Line 356:
Line 264: Line 358:
Line 265: Line 360:
Line 266: Line 362:
Line 267: Line 364:
Line 268: Line 366:
Line 269: Line 368:
Line 271: Line 371:
Line 277: Line 376:
Line 278: Line 378:
Line 279: Line 380:
Line 282: Line 384:
Line 283: Line 386:

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

https://simtk.org/home/cpms

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

mulugeta@dsls.usra.edu

lealem.mulugeta@nasa.gov

Ahmet Erdemir

Committee Co-Chair

erdemira@ccf.org

Committee Presentation (last edited 2016-05-04 22:03:12 by localhost)