Download Best care at lower cost : the path to continuously learning by Institute of Medicine, Committee on the Learning Health Care PDF

By Institute of Medicine, Committee on the Learning Health Care System in America, J. Michael McGinnis, Leigh Stuckhardt, Robert Saunders, Mark Smith

"America's wellbeing and fitness care approach has turn into too advanced and expensive to proceed company as ordinary. top Care at cheaper price explains that inefficiencies, an overpowering quantity of knowledge, and different monetary and caliber boundaries prevent development in bettering future health and threaten the nation's fiscal balance and international competitiveness. in accordance with this file, the information and instruments exist to place the overall healthiness method on the  Read more...

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2000). , 2009). This may be related in part to the difficulty of identifying what truly constitutes patient-centered care, with well-meaning but poorly informed efforts producing changes that are superficial and adding little value to the experience. In the name of patient-centeredness, for example, some health care organizations have adopted luxury, hotel-like amenities or renovated their facilities. Although 24 BEST CARE AT LOWER COST some of these initiatives may appeal to patient tastes, they do not achieve the true goals of patient-centered care and may increase costs while not directly addressing the patient’s needs, preferences, or goals most important to improving quality, health, and value.

There are challenges to implementing this vision in real-world clinical environments. , 2009; Trude, 2003). Furthermore, they struggle to deliver care while confronting inefficient workflows, administrative burdens, and uncoordinated systems. These time pressures, stresses, and inefficiencies prevent clinicians from focusing on additional tasks and initiatives, even those that have important goals for improving care. Similarly, professionals working in health care organizations are overwhelmed by the sheer volume of initiatives currently under way to improve various aspects of the care process, initiatives that appear to be unconnected with the organization’s priorities.

2010). Computational capabilities also hold promise for hastening the derivation of important new insights from the care experience. , 2012). Conclusion: Growing computational capabilities to generate, communicate, and apply new knowledge create the potential to build a clinical data infrastructure to support continuous learning and improvement in health care. Harnessing this potential for care improvement will require systematic approaches that address the regulatory, commercial, communications, and technological challenges involved.

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