19 research outputs found

    Understanding the organizational barriers of promoting electronic delivery options in the United States healthcare system: an insurer’s perspective

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    Consumer-driven technologies are rapidly transforming how industries conduct business both internally and externally. From online banking to retail, the broad adoption of smart devices, internet access, and wearables amongst consumers has shifted the way enterprises develop software and conduct information technology (IT) operations. Although successful adoption of consumer-driven technologies is a reality for many industries, the healthcare platform is lagging. The promotion and adoption of online patient engagement is widely perceived to be one of the biggest hurdles faced by healthcare organizations (Carr, 2014). While setting up patient portals and electronic delivery options can be relatively simple, promoting consumer utilization and achieving widespread use of these portals use has posed challenges. The healthcare paradigm has shifted in recent decades from viewing the patient as incidental to the delivery of healthcare to a more patient-centric approach. The previous model of indirectly funding Medicare, Medicaid, or employers has been noted as one of the greatest flaws of the healthcare system by contributing to cost inflation (Carr, 2014). Recent trends have promoted patient-empowered care, but have generally transferred the burden of cost to the individual. The Affordable Care Act (ACA) stimulated this shift by creating insurance exchanges which allow insurers to directly reach consumers; however, these readily-available healthcare options now require higher monthly premium payments from shoppers. This new model proposes that as patients become increasingly financially liable, they become more invested in their healthcare trajectories

    A meta-analysis of previous falls and subsequent fracture risk in cohort studies

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    NC Harvey acknowledges funding from the UK Medical Research Council (MC_PC_21003; MC_PC_21001). The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, and 75N92021D00005. Funding for the MrOS USA study comes from the National Institute on Aging (NIA), the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Center for Advancing Translational Sciences (NCATS), and NIH Roadmap for Medical Research under the following grant numbers: U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, and UL1 TR000128. Funding for the SOF study comes from the National Institute on Aging (NIA), and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), supported by grants (AG05407, AR35582, AG05394, AR35584, and AR35583). Funding for the Health ABC study was from the Intramural research program at the National Institute on Aging under the following contract numbers: NO1-AG-6–2101, NO1-AG-6–2103, and NO1-AG-6–2106.Peer reviewedPostprin

    Understanding the Organizational Barriers of Promoting Electronic Delivery Options in the United States Health Care System: An Insurer’s Perspective

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    Consumer-driven technologies are rapidly transforming how industries conduct business both internally and externally. From online banking to retail, the broad adoption of smart devices, internet access, and wearables amongst consumers has shifted the way enterprises develop software and conduct information technology (IT) operations. Although successful adoption of consumer-driven technologies is a reality for many industries, the healthcare platform is lagging. The promotion and adoption of online patient engagement is widely perceived to be one of the biggest hurdles faced by healthcare organizations (Carr, 2014). While setting up patient portals and electronic delivery options can be relatively simple, promoting consumer utilization and achieving widespread use of these portals use has posed challenges. The healthcare paradigm has shifted in recent decades from viewing the patient as incidental to the delivery of healthcare to a more patient-centric approach. The previous model of indirectly funding Medicare, Medicaid, or employers has been noted as one of the greatest flaws of the healthcare system by contributing to cost inflation (Carr, 2014). Recent trends have promoted patient-empowered care, but have generally transferred the burden of cost to the individual. The Affordable Care Act (ACA) stimulated this shift by creating insurance exchanges which allow insurers to directly reach consumers; however, these readily-available healthcare options now require higher monthly premium payments from shoppers. This new model proposes that as patients become increasingly financially liable, they become more invested in their healthcare trajectories

    SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds

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    <p>Abstract</p> <p>Background</p> <p>Protein interactions are essential for coordinating cellular functions. Proteomic studies have already elucidated a huge amount of protein-protein interactions that require detailed functional analysis. Understanding the structural basis of each individual interaction through their structural determination is necessary, yet an unfeasible task. Therefore, computational tools able to predict protein binding regions and recognition modes are required to rationalize putative molecular functions for proteins. With this aim, we previously created SCOWLP, a structural classification of protein binding regions at protein family level, based on the information obtained from high-resolution 3D protein-protein and protein-peptide complexes.</p> <p>Description</p> <p>We present here a new version of SCOWLP that has been enhanced by the inclusion of protein-nucleic acid and protein-saccharide interactions. SCOWLP takes interfacial solvent into account for a detailed characterization of protein interactions. In addition, the binding regions obtained per protein family have been enriched by the inclusion of predicted binding regions, which have been inferred from structurally related proteins across all existing folds. These inferences might become very useful to suggest novel recognition regions and compare structurally similar interfaces from different families.</p> <p>Conclusions</p> <p>The updated SCOWLP has new functionalities that allow both, detection and comparison of protein regions recognizing different types of ligands, which include other proteins, peptides, nucleic acids and saccharides, within a solvated environment. Currently, SCOWLP allows the analysis of predicted protein binding regions based on structure-based inferences across fold space. These predictions may have a unique potential in assisting protein docking, in providing insights into protein interaction networks, and in guiding rational engineering of protein ligands. The newly designed SCOWLP web application has an improved user-friendly interface that facilitates its usage, and is available at <url>http://www.scowlp.org</url>.</p
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