Abstract
In order to realize the great promise of knowledge-driven healthcare, we must capitalize upon the advances in translational informatics made to date. While some of the necessary technological infrastructure is now in place or actively being implemented, and while the drive to leverage that infrastructure is strong in many sectors of society, there remain many challenges to realizing the vision of translational informatics and thereby substantial improvements in healthcare and biomedicine. In addition to improving the design and optimizing the use of health information technologies, myriad organizational, cultural and regulatory changes are needed to fully realize this vision. Only by so doing, will we as a society finally be able to create and leverage information ecosystems that are efficient and effective at simultaneously advancing not only the practice of evidence-based medicine, but the systematic generation of evidence at every point in the healthcare and biomedical research lifecycle. Indeed, such changes are essential to creating a true “learning health system” that drives not only more effective care while accelerating scientific advances, but does so in a manner that is both affordable today and sustainable for the benefit of the entire population well into the future.
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Additional Reading
Embi PJ, Payne PR. Clinical research informatics: challenges, opportunities and definition for an emerging domain. J Am Med Inform Assoc. 2009;16(3):316–27. PubMed PMID: 19261934. Pubmed Central PMCID: 2732242.
Embi PJ, Payne PR. Evidence generating medicine: redefining the research-practice relationship to complete the evidence cycle. Med Care. 2013;51(8 Suppl 3):S87–91. PubMed PMID: 23793052.
Hersh WR, Weiner MG, Embi PJ, Logan JR, Payne PR, Bernstam EV, et al. Caveats for the use of operational electronic health record data in comparative effectiveness research. Med Care. 2013;51(8 Suppl 3):S30–7. PubMed PMID: 23774517, Pubmed Central PMCID: 3748381.
Hripcsak G, Bloomrosen M, FlatelyBrennan P, Chute CG, Cimino J, Detmer DE, et al. Health data use, stewardship, and governance: ongoing gaps and challenges: a report from AMIA’s 2012 Health Policy Meeting. J Am Med Inform Assoc. 2014;21(2):204–11. PubMed PMID: 24169275. Pubmed Central PMCID: 3932468.
Murphy SN, Dubey A, Embi PJ, Harris PA, Richter BG, Turisco F, et al. Current state of information technologies for the clinical research enterprise across academic medical centers. Clin Transl Sci. 2012;5(3):281–4. PubMed PMID: 22686207.
Payne PR, Johnson SB, Starren JB, Tilson HH, Dowdy D. Breaking the translational barriers: the value of integrating biomedical informatics and translational research. J Investig Med. 2005;53(4):192–200. PubMed PMID: 15974245.
Payne PR, Embi PJ, Sen CK. Translational informatics: enabling high-throughput research paradigms. Physiol Genomics. 2009;39(3):131–40. PubMed PMID: 19737991, Pubmed Central PMCID: 2789669.
Sung NS, Crowley Jr WF, Genel M, Salber P, Sandy L, Sherwood LM, et al. Central challenges facing the national clinical research enterprise. JAMA. 2003;289(10):1278–87. PubMed PMID: 12633190, Epub 2003/03/14. eng.
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Embi, P.J., Payne, P.R.O. (2015). Future Directions for Translational Informatics. In: Payne, P., Embi, P. (eds) Translational Informatics. Health Informatics. Springer, London. https://doi.org/10.1007/978-1-4471-4646-9_10
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