Goal 3: Advance Translational Research

Submitted by (@jsullivan)

Create a National Action Plan for COPD

Lead a coordinated effort of government, patient advocacy organizations, professional organizations, payers and others to plan and implement a coordinated plan to improve COPD awareness, education for patients and healthcare professionals, treatment strategies, research and data collection, policies and public health infrastructure and programs.

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6 net votes
6 up votes
0 down votes
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Goal 2: Reduce Human Disease

Submitted by (@societyforvascularsurgery)

Data from regulatory studies a barrier to evidence-based medicine

Alignment of regulatory, healthcare, and research arms of the government is poor. There is a need to improve the design, quality and usefulness of data from regulatory studies to address major clinical questions and also to facilitate scientific inquiry. This is a barrier to evidence based medicine and improved treatments.

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2 net votes
3 up votes
1 down votes
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Goal 1: Promote Human Health

Submitted by (@greg.martin)

Predictive analytics to engage healthy behaviors and maintain health while reducing cost

Predictive Health employs the principle that using modern health testing and predictive analytics will better define true health (not just absence of disease) and, in combination with large-scale data analytics, will facilitate predicting deviations from the healthy trajectory earlier than traditional disease diagnosis, thus allowing more effective and less costly interventions to maintain health. Predictive Health educates ...more »

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5 net votes
9 up votes
4 down votes
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Goal 3: Advance Translational Research

Submitted by (@rao000)

Advancing translational research requires timely in-depth analysis of large datasets

1. NHLBI investments over the last decade in terms of genomic approaches have yielded many research findings. 2. Rapid analyses of early data identified the "low hanging" fruit (and perhaps some/many important results were missed); this limited the scope of translation (partly because of relatively limited discovery?) 3. Important data are being generated at much greater rate than the data are processed/analyzed thoughtfully. ...more »

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1 net vote
11 up votes
10 down votes
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Goal 2: Reduce Human Disease

Submitted by (@rakeshgoyal)

Moonshot: Turning the BMT EMR into a Research Record

The critical challenge is to develop a standards-based BMT electronic medical record (EMR) and integrate research capacity into the architecture of EMR systems. The ultimate goal would be to build de-identified complete data-sets which can be used to support observational studies and clinical trials, improve transplant outcomes and inform public policy.

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57 net votes
71 up votes
14 down votes
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Goal 4: Develop Workforce and Resources

Submitted by (@teitelbaum)

Credible Data and Analysis of the Biomedical Research Workforce

There is a need for sensible policies that require collection and scientific analysis of credible data relating to the biomedical workforce. The data currently available are weak – for example no one knows, to a factor of 2X, the actual number of postdocs in the United States. The absence of credible human resource and labor market data on the biomedical research workforce is very surprising. NIH could contribute greatly ...more »

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6 net votes
15 up votes
9 down votes
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Goal 1: Promote Human Health

Submitted by (@nhlbiforumadministrator)

leveraging EHR through improved partnerships

Large medical delivery systems have an abundance of information stored in their EHR systems. What steps are necessary to develop partnerships between NHLBI and medical delivery systems or other agencies such as AHRQ to access these EHR systems, develop a common terminology (if icd 9 and other common codes are ineffective for merging data) and add that data to dbGap for NIH/community use?

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1 net vote
13 up votes
12 down votes
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Goal 3: Advance Translational Research

Submitted by (@nhlbiforumadministrator1)

Embedding Clinical Trials in Learning Health Systems

What are the best methods for using genotype information and other EMR data to randomize heart, lung, blood, sleep patients to different treatment strategies? One big challenge is how to consent patients for this sort of trial. Must patients be consented separately for every such trial or could there be blanket consent for participating in the learning health care model? This would also require a paradigm shift in how ...more »

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4 net votes
15 up votes
11 down votes
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