The Medical Device Innovation Consortium (MDIC) is the first public-private partnership created to advance the medical device regulatory process for patient benefit. MDIC was formed in 2012 to bring the FDA and industry together to share vital knowledge that can help bring safe, affordable, and effective devices to patients and providers more quickly. 

The purpose of the survey is to gather input on a revised 5-year strategic roadmap for the MDIC Computational Modeling and Simulation (CM&S) Program which is built on a foundation of validation requirements demonstrating regulatory grade simulation results. This roadmap will chart the course of milestones to realize the MDIC CM&S vision of quick and predictable access for patients to innovative, yet, safe and effective technologies enabled by CM&S evidence.

In addition, MDIC is partnering with FDA, in pursuit of our common goal to establish Top 10 Considerations for Good Simulation Practices (GSP). Through this survey hope to gather stakeholder feedback to narrow down simple best practices to guide the use of modeling and simulation in health technologies.

Please provide as much commentary as needed to identify your needs. Participation in this survey is anonymous. The survey has 27 questions and will take approximately 20 minutes. Questions that have an asterisk(*) at the beginning require an answer before the survey can be submitted.
Please provide details about the organization you represent.

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* 1. Please identify your organization type.

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* 2. What is your primary field of academic/professional training?

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* 3. Is your organization an MDIC member? If you are unsure, please refer to our list of members

The following are general questions about your experience with Computational Modeling and Simulation (CM&S):

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* 4. How familiar are you with computational modeling and simulation?

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* 5. Where does your organization use CM&S today (select all that apply)?

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* 6. How does your organization use CM&S (select all that apply)?

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* 7. How do you leverage CM&S resources (experts, software, methods, etc.)?

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* 8. What is the primary reason for your interaction with modeling and simulation (M&S) data in health technologies?

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* 9. What type of business case does your organization use for CM&S (select all that apply)?

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* 10. Please describe your organization’s CM&S strategy.

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* 11. Which the following do you feel are obstacles in using CM&S? (select all that apply)

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* 12. Within the next five years, what do you feel are the most immediate applications for CM&S in FDA submissions that would have the most positive impact?

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* 13. Where can CM&S be most beneficial?

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* 14. What is your most pressing problem that CM&S should address?

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* 15. How important are the following simple rules for credible practice of CM&S in health technologies?

We recognize the importance of all the rules presented below. However, our goal is to identify relative importance levels, in particular, the MOST important simple rules of credible practice. As a result, please be sure to evenly distribute your responses, e.g., no more than 7 of your responses should have a score of 5 (Extremely Important). You may want to review the entire list first before providing your input.

  Least Important Less Importance Moderately Important Very Important Extremely Important N/A
Inputs to the computational model are traceable.
Use simulation software with established reliability.
Provide clear descriptions of limitations.
Disseminate whenever and whatever is possible, e.g., source code, test suite, data.
Validate the M&S activity within the context of use.
Explicitly identify experimental scenarios that illustrate when, why, and how the M&S is false or not applicable.
Define the context in which the M&S is intended to be used.
Make it easy for anyone to repeat and/or falsify your results.
Verify the M&S processes within context of use.
Document the development and use of M&S appropriately.
Engage potential end-user base.
Use appropriate data, e.g., for input, validation, verification.
Define the M&S evaluation metrics in advance.
Document your code.
Make the M&S results reproducible.
Use version control, i.e., to track different revisions of the model.
Adopt and promote standard operating procedures.
Report appropriately (i.e., to enable reproducibility), to assess reliability, and to establish accountability.
Perform numerical error estimation/quantification within context of use.
Perform uncertainty estimation/quantification within context of use.
Follow discipline-specific guidelines and standards whenever possible.
Develop the M&S with the end-user in mind.
Conform to discipline-specific standards.
Use consistent terminology or define your terminology.
Perform sensitivity analysis within the context of use.
Disclose conflict of interests.
Explicitly list limitations of the M&S.
Be a discipline-specific example of good practice.
Use credible, e.g. verified, solvers (code, software, applications).
Provide examples of M&S use.
Learn from specialized and broadly applicable guidelines for good practice.
Provide user instructions whenever possible and applicable.
Use data that can be traced back to the origin of source.
Make the M&S code readable.
Get the M&S reviewed by independent users, developers, and members of the intended stakeholder community.

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* 16. Please provide your level of agreement with the following statements.

  Strongly Disagree Disagree Agree Strongly agree No basis to judge
Modeling and simulation can reduce the time to market for my product.
Modeling and simulation can reduce the risk of post market complications.
FDA supports the use of modeling and simulation in the regulatory evaluation of health technologies.
FDA accepts data from modeling and simulation to support regulatory decision-making.
Our organization is using modeling and simulation technologies to enhance our business processes.
We are using modeling and simulation internal to our organization but are not submitting it our regulatory applications to the FDA.
In the future, data used to support health technologies will come more from computational modeling and simulation than from other data sources (e.g., animal studies, bench top studies)
Our organization knows what is expected to use modeling and simulation data in regulatory submissions.
FDA will provide useful guidance on expectations for modeling and simulation plans provided and reviewed during the presubmission process.

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* 17. What would be most useful to you when evaluating the success of CM&S over the next five years?

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* 18. Please provide any additional comments, practices, or thoughts you would like us to consider as we work toward establishing common guidelines for implementation of CM&S in health technologies.

The following relates to the concept of a Mock Submission.
MDIC can facilitate mock submissions to demonstrate the thought process, evidence, and documentation needed for a model to be used as regulatory grade evidence

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* 19. Identify potential devices types and how modeling would serve a significant role in a mock submission (510k, IDE, PMA)

In order to support faster, more efficient development and regulatory evaluation of medical devices, FDA issued draft guidance in 2013 entitled: “Medical Device Development Tools” which outlines a proposed voluntary process for evaluating (qualifying) clinical and nonclinical tools for measuring device function, biomarkers and clinical outcomes – Medical Device Development Tools (MDDT). Examples of potential MDDT which might be eligible for qualification include patient reported outcome rating scales, such as those for pain or improved mobility, clearly defined clinical outcomes used as a measure of benefit, such as heart-failure related hospitalization, and nonclinical tools such as material phantoms and simulations to evaluate imaging devices. Transparency about such tools which FDA qualifies and expects can be relied upon in assessing safety and effectiveness of medical devices, could enable faster development and availability of medical devices.

The following questions are about your opinion on FDA qualification of medical device development tools:

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* 20. Would products in your company’s portfolio benefit from FDA-qualified MDDTs which FDA/CDRH viewers should accept for the qualified context of use without the need to reconfirm the suitability and utility of the MDDT when used in a CDRH regulatory submission?

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* 21. If yes to 17, which of the following describes your current views on FDA qualification of such tools:

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* 22. If no to 17, please provide a comment about regulatory science tool(s) that will be valuable to streamline device development and regulatory evaluation of novel or innovative technologies.

The following is related to the concept of a Library or Repository for Models, Inputs, and Validation Data:

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* 23. Do you currently have data that your organization would be willing to share to an open database to improve CM&S and validation?

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* 24. Do you currently have models that your company would be willing to share to an open database to improve CM&S and validation?

Please answer the following questions as they relate directly to MDIC's CM&S program.

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* 25. How familiar are you with MDIC and its mission?

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* 26. Please rank your top three priorities for MDIC’s CM&S project.

  First Choice Second Choice Third Choice
Creating collaborations across the MDIC community and academia to advance the use of CM&S in Regulatory Science
Holding workshops and meetings to highlight, educate, and discuss the use of CM&S in Regulatory Science
In partnership with standards determining organizations, leveraging the breadth of the MDIC membership to identify CM&S best practices
Demonstrating the use of CM&S Validation Requirements
Identifying areas for research and research funding
Planning and creating a library/repository for CM&S inputs, models, and validation experiment results
Envisioning methods to qualify CM&S as a medical device development tool (MDDT)
Creating whitepapers to inform the industry and FDA on CM&S and its applicability in specific fields of application
Facilitating round robins to demonstrate and improve repeatability and reproducibility of CM&S
Other, please comment

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* 27. MDIC is planning to hold an event to debrief the survey findings and continue its strategic plans in the CM&S. To help us identify which break-out session topics are most relevant, please identify the topics you would like to have as break-out session themes (select your top three)

  First Choice Second Choice Third Choice
Cardiology: Leads, human hearts, valves etc
Orthopedics
Additive manufacturing for medical devices
Image segmentation, analysis, and reconstruction
Repository for models, inputs, validation data, model qualification
Biomaterials and/or tissue manufacturing
MR heating
Blood damage modeling
Combining bench and simulation to impact/inform/limit clinical trials
Business use case for CM&S and metrics
Tissue Characterization
Diagnostics
Virtual prototyping: 3D data display/interaction/manipulation and open data standards to facilitate this
Uncertainty quantification (UQ) in CM&S
Neuromodulation
Harmonized good simulation practices (GSP)
Other, please comment

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