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Browsing by Author "Smith, Jeff"
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Item Policy Statement on Clinical Informatics Fellowships and the Future of Informatics- Driven Medicine(Thieme, 2020-10) Kannry, Joseph; Smith, Jeff; Mohan, Vishnu; Levy, Bruce; Finnell, John; Lehmann, Christoph U.; Emergency Medicine, School of MedicineBoard certified clinical informaticians provide expertise in leveraging health IT (HIT) and health data for patient care and quality improvement. Clinical Informatics experts possess the requisite skills and competencies to make systems-level improvements in care delivery using HIT, workflow and data analytics, knowledge acquisition, clinical decision support, data visualization, and related informatics tools. However, these physicians lack structured and sustained funding because they have no billing codes. The sustainability and growth of this new and promising medical subspecialty is threatened by outdated and inconsistent funding models that fail to support the education and professional growth of clinical informaticians. The Clinical Informatics Program Directors' Community is calling upon the Centers for Medicare and Medicaid Services to consider novel funding structures and programs through its Innovation Center for Clinical Informatics Fellowship training. Only through structural and sustained funding for Clinical Informatics fellows will be able to fully develop the potential of electronic health records to improve the quality, safety, and cost of clinical care.Item Reimagining the research-practice relationship: policy recommendations for informatics-enabled evidence-generation across the US health system(Oxford Academic, 2019-01-16) Embi, Peter J.; Richesson, Rachel; Tenenbaum, Jessica; Kannry, Joseph; Friedman, Charles; Sarkar, Indra Neil; Smith, Jeff; Medicine, School of MedicineAbstract. The widespread adoption and use of electronic health records and their use to enable learning health systems (LHS) holds great promise to accelerate both evidence-generating medicine (EGM) and evidence-based medicine (EBM), thereby enabling a LHS. In 2016, AMIA convened its 10th annual Policy Invitational to discuss issues key to facilitating the EGM-EBM paradigm at points-of-care (nodes), across organizations (networks), and to ensure viability of this model at scale (sustainability). In this article, we synthesize discussions from the conference and supplements those deliberations with relevant context to inform ongoing policy development. Specifically, we explore and suggest public policies needed to facilitate EGM-EBM activities on a national scale, particularly those policies that can enable and improve clinical and health services research at the point-of-care, accelerate biomedical discovery, and facilitate translation of findings to improve the health of individuals and populations.Item Reimagining the research-practice relationship: policy recommendations for informatics-enabled evidence-generation across the US health system(Oxford Academic, 2019-01-16) Embi, Peter J.; Richesson, Rachel; Tenenbaum, Jessica; Kannry, Joseph; Friedman, Charles; Sarkar, Indra Neil; Smith, Jeff; Medicine, School of MedicineAbstract. The widespread adoption and use of electronic health records and their use to enable learning health systems (LHS) holds great promise to accelerate both evidence-generating medicine (EGM) and evidence-based medicine (EBM), thereby enabling a LHS. In 2016, AMIA convened its 10th annual Policy Invitational to discuss issues key to facilitating the EGM-EBM paradigm at points-of-care (nodes), across organizations (networks), and to ensure viability of this model at scale (sustainability). In this article, we synthesize discussions from the conference and supplements those deliberations with relevant context to inform ongoing policy development. Specifically, we explore and suggest public policies needed to facilitate EGM-EBM activities on a national scale, particularly those policies that can enable and improve clinical and health services research at the point-of-care, accelerate biomedical discovery, and facilitate translation of findings to improve the health of individuals and populations