
By Institute of Medicine, Board on Health Care Services, Committee on Data Standards for Patient Safety, Shari M. Erickson, Julie Wolcott, Janet M. Corrigan, Philip Aspden
Americans will be capable of expect receiving wellbeing and fitness care that's safe.
To accomplish that, a brand new healthiness care supply procedure is required â€" a approach that either prevents blunders from happening, and learns from them after they do happen. the advance of one of these process calls for a dedication by means of all stakeholders to a tradition of security and to the improvement of more advantageous details platforms for the supply of health and wellbeing care. This nationwide overall healthiness info infrastructure is required to supply rapid entry to accomplish sufferer info and decision-support instruments for clinicians and their sufferers. moreover, this infrastructure needs to catch sufferer defense info as a derivative of care and use this knowledge to layout even more secure supply structures. overall healthiness information criteria are either a severe and time-sensitive construction block of the nationwide wellbeing and fitness info infrastructure.
Building at the Institute of drugs reviews To Err Is Human and Crossing the standard Chasm, sufferer safeguard places ahead a highway map for the improvement and adoption of key overall healthiness care facts criteria to aid either info alternate and the reporting and research of sufferer safeguard data.
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Extra info for Patient Safety: Achieving a New Standard for Care
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Identifying patients with unusual laboratory results) as more and more of the important components of the patient record become computer based. Automated surveillance, sometimes called data-driven triggers, offers many advantages, including (1) more immediate identification of events when there may still be an opportunity to mitigate patient harm, (2) identification of larger numbers of adverse events than is possible with methods that rely on individual reports or sampling techniques, and (3) a less labor-intensive approach than individual case finding.
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Data necessary to support use of the Eindhoven Classification Model—Medical Version for classifying root causes, including expansions for (1) recovery factors associated with near-miss events, (2) corrective actions taken to recover from adverse events, and (3) patient outcome/functional status as a result of those corrective actions. Copyright © National Academy of Sciences. All rights reserved. html EXECUTIVE SUMMARY 23 – A free-text section for lessons learned as a result of the event. – Clinical documentation of the patient context.