Opportunity Information: Apply for W81XWH 15 DMRDP MSIS SIMMARKERS
Apply for W81XWH 15 DMRDP MSIS SIMMARKERS
- The Dept. of the Army USAMRAA in the science and technology and other research and development sector is offering a public funding opportunity titled "DoD FY15 Medical Decision Aids Predictive Markers (SimMarkers) Award" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.420 Military Medical Research and Development.
- This funding opportunity was created on Jun 11, 2015 and posted on Jun 11, 2015.
- Applicants must submit their applications by Nov 12, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $2,400,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 4 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:
The DoD FY15 Medical Decision Aids - Predictive Markers (SimMarkers) Award is a Department of the Army (USAMRAA) funding opportunity focused on research that can better measure and predict a healthcare professional's cognitive and performance readiness over time, especially how skills are acquired, maintained, or lost (skill decay). The core problem the program is trying to solve is that healthcare teams need objective, evidence-based ways to tell whether a clinician is truly ready to perform, whether their performance is slipping, and what kind of training or remediation they need. Rather than building another training device or emphasizing hands-on psychomotor simulation assessment, this opportunity emphasizes finding measurable "markers" of cognitive and performance status that could later be used inside computational predictive models.
A central requirement is that the proposed markers must be evidence based and must align with real-world credentialing and certifying expectations for the relevant health professions. The program also expects alignment with regional, local, and organizational standards and guidelines, particularly in settings where local requirements are more stringent than national credentialing expectations. In other words, applicants are expected to ground their markers in how healthcare is actually regulated and evaluated, not just in research-only constructs. The intent is to produce markers that can credibly support decisions about selection, training, sustainment, and remediation of healthcare personnel, starting with entry-level team members and eventually extending to clinicians at any experience level.
The announcement strongly encourages approaches that do not rely heavily on hospital electronic health record (EHR) data and that do not duplicate ongoing work on psychomotor skills assessment being supported elsewhere by the Defense Health Program. Instead, it seeks alternate predictive markers that can be translated into objective (or at least reliable) observational metrics or evaluation criteria. These markers should ideally be task-, procedure-, and skill-agnostic so they can generalize across domains, but applicants still need to demonstrate, through a domain-specific proof of concept, that the markers actually predict something meaningful about performance. The opportunity also highlights the desire to identify common environmental and behavioral factors that can be broken down into measurable components and used as markers of cognitive skill acquisition and resistance to skill decay.
A notable expected outcome is improved clarity around the difference between training to competency versus training to proficiency, referencing Kirkpatrick's framework. The program anticipates that funded research will "deconstruct" performance into clear metrics that can discriminate between competency and proficiency, and then use those metrics to help model how clinicians progress, plateau, or decline without reinforcement. Beyond publishing research findings, the program expects a practical demonstration: a pilot test in an entry-level medical domain that shows feasibility of a skill acquisition/maintenance/decay (or degradation) model. Applicants must also show proof-of-concept linkage of the data within computational algorithms, meaning they need to demonstrate how the proposed markers could be connected and used within a predictive modeling approach, even if a full mature model does not yet exist.
Mechanically, this opportunity was offered as discretionary funding using cooperative agreements and grants under CFDA 12.420 (Military Medical Research and Development). The total estimated funding was $2.4 million, with an expectation of about four awards and no cost sharing or matching requirement. Eligibility was listed as unrestricted (open to any entity type, subject to any additional eligibility language in the full announcement). The opportunity was posted June 11, 2015, with an original and final closing date of November 12, 2015, and an archive date of December 12, 2015. For administrative or access issues, the listed support contact was the CDMRP Help Desk (help@eBRAP.org, 301-682-5507).
FAQs: DoD FY15 Medical Decision Aids - Predictive Markers (SimMarkers) Award
What is the DoD FY15 Medical Decision Aids - Predictive Markers (SimMarkers) Award?
It is a Department of Defense (Department of the Army/USAMRAA) funding opportunity focused on research to identify evidence-based, measurable markers that can help measure and predict a healthcare professional's cognitive and performance readiness over time, including how skills are acquired, maintained, or lost (skill decay).
What problem is this program trying to solve?
The program aims to give healthcare teams objective, evidence-based ways to determine whether a clinician is ready to perform, whether performance is slipping, and what training or remediation may be needed. The emphasis is on markers that can support real-world decisions about selection, training, sustainment, and remediation.
What does the program mean by "predictive markers"?
Predictive markers are measurable indicators of cognitive and performance status that could later be used inside computational predictive models. The intent is to find markers that can be translated into objective (or at least reliable) observational metrics or evaluation criteria, rather than creating new training devices.
Is this opportunity focused on building new simulation training devices?
No. The opportunity emphasizes identifying measurable markers of cognitive and performance status, not building another training device or focusing on hands-on psychomotor simulation assessment.
Does the program want psychomotor skills assessment proposals?
The announcement indicates it does not want to duplicate ongoing work on psychomotor skills assessment that is being supported elsewhere by the Defense Health Program. Applicants are encouraged to focus on alternate predictive markers instead.
Is heavy reliance on hospital EHR data encouraged?
No. The opportunity strongly encourages approaches that do not rely heavily on hospital electronic health record (EHR) data.
What are the key requirements for the proposed markers?
The proposed markers must be evidence based and aligned with real-world credentialing and certifying expectations for the relevant health professions. The program also expects alignment with regional, local, and organizational standards and guidelines, especially where local requirements are more stringent than national credentialing expectations.
Why does alignment with credentialing, certifying, and local standards matter?
The intent is to ensure the markers are grounded in how healthcare is actually regulated and evaluated, rather than being based only on research constructs. This is meant to help the markers credibly support decisions about workforce readiness, sustainment, and remediation.
Are the markers expected to be generalizable?
Ideally, yes. The opportunity states the markers should ideally be task-, procedure-, and skill-agnostic so they can generalize across domains. However, applicants still need to demonstrate usefulness through a domain-specific proof of concept.
Does a proposal still need a specific clinical domain if markers are meant to be agnostic?
Yes. Even if the markers are designed to be general, applicants are expected to demonstrate, through a domain-specific proof of concept, that the markers predict something meaningful about performance.
What kinds of factors does the program want to see considered as markers?
The opportunity highlights identifying common environmental and behavioral factors that can be broken down into measurable components and used as markers of cognitive skill acquisition and resistance to skill decay.
What does the program expect regarding competency vs proficiency?
A notable expected outcome is improved clarity around the difference between training to competency versus training to proficiency, referencing Kirkpatrick's framework. Funded research is expected to deconstruct performance into clear metrics that can discriminate between competency and proficiency.
What is meant by "deconstructing performance" in this program?
It refers to breaking down clinical performance into clear, measurable metrics that can distinguish competency from proficiency and help model how clinicians progress, plateau, or decline without reinforcement.
What practical demonstration is expected beyond publications?
The program expects a pilot test in an entry-level medical domain that shows the feasibility of a skill acquisition/maintenance/decay (or degradation) model.
What does "entry-level medical domain" mean for the pilot test?
Based on the announcement language, the pilot demonstration is expected to occur in a domain appropriate for entry-level team members, showing feasibility of the proposed modeling approach in that setting.
Is computational modeling required?
Applicants must show proof-of-concept linkage of the data within computational algorithms, meaning they need to demonstrate how the proposed markers could be connected and used within a predictive modeling approach, even if a fully mature model does not yet exist.
Does the program require a complete, fully validated predictive model?
No. The description indicates a full mature model does not have to exist yet, but a proof-of-concept linkage of marker data within computational algorithms is expected.
Which agency offered this opportunity?
The opportunity is described as a Department of Defense effort administered under the Department of the Army (USAMRAA).
What type of funding mechanism was used?
It was offered as discretionary funding using cooperative agreements and grants.
What is the CFDA number for this program?
CFDA 12.420 (Military Medical Research and Development).
How much total funding was estimated for this opportunity?
The total estimated funding was $2.4 million.
About how many awards were expected?
The opportunity indicated an expectation of about four awards.
Was cost sharing or matching required?
No. The opportunity stated there was no cost sharing or matching requirement.
Who was eligible to apply?
Eligibility was listed as unrestricted (open to any entity type), subject to any additional eligibility language in the full announcement.
When was the opportunity posted?
It was posted on June 11, 2015.
What were the closing dates?
The original and final closing date listed was November 12, 2015.
When was the opportunity archived?
The archive date was December 12, 2015.
Who should be contacted for administrative or access issues?
The listed support contact was the CDMRP Help Desk at help@eBRAP.org or 301-682-5507.
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