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Was COVID-19 a wake-up call to prioritize healthcare analytics and merge them with other healthcare goals? Healthcare data and analytics have become inextricable from the pandemic response, proving to the industry it can’t save lives at scale without this information and insight. In a 2021 survey of healthcare leaders and professionals, nearly 80 percent of respondents report they plan to maintain pandemic-driven data and analytics shifts for the long term. And with most respondents recognizing gaps in their data and analytics and noting COVID-19-driven changes in the data and analytics landscape, the pandemic may likely catalyze a new, more robust era in healthcare technology and decision support.

虽然为卫生系统提供的联邦COVID-19救济资金在理论上听起来不错，但许多组织发现获得和使用这些资金令人难以承受和沮丧。联邦政府的指导意见一直不一致或不完整，对救援计划和政策的持续变化挑战组织制定务实的金融复苏战略。面对更多问题而非答案的金融领导人需要一个简单的框架，以信心十足地步入复苏。以下五项基于财务和医疗保健的专家指南将帮助各组织把握和优化COVID-19救援资金:定期审查立法和法规的更新和机构的活动。充分利用现有资源。将必要的报告作为决策工具。现在就为不可避免的审计做准备吧。现在测试合规性以消除以后的麻烦(或诉讼)。

In addition to driving COVID-19 understanding within the United States, a national disease registry is informing research beyond U.S. borders. Clinicians with the Singapore Ministry of Healthcare Office for Healthcare Transformation (MOHT) have used Health Catalyst Touchstone® COVID-19 data to develop a machine learning tool that helps predict the likelihood of COVID-19 mortality. With this national data set that leverages deep aggregated EHR data, the MOHT accessed the research-grade data it needed to build a machine-learning algorithm that predicts risk of death from COVID-19. The registry-informed prediction model was accurate enough to stand up to comparisons in the published literature and promises to help inform vaccine research and, ultimately, allocation of vaccines within populations.

With an ever-changing understanding of COVID-19 and a continually fluctuating disease impact, health systems can’t rely on a single, rigid plan to guide their response and recovery efforts. An effective solution is likely a flexible framework that steers hospitals and other providers through four critical phases of a communitywide healthcare emergency:1. Prepare for an outbreak.2. Prevent transmission.3. Recover from an outbreak.4. Plan for the future.The framework must include data-supported surveillance and containment strategies to enhance detection, reduce transmission, and manage capacity and supplies, providing a roadmap to respond to immediate demands and also support a sustainable long-term pandemic response.

在COVID-19大流行的紧急阶段，几乎一半的美国医疗保健消费者推迟了常规和非紧急护理，使机构在所有护理环境中都面临重大收入损失。为应对医疗保健行业普遍面临的财务压力，美国国会已拨款1000亿美元，为医院和其他医疗保健提供商提供救助资金。但是，尽管医疗机构显然需要财政救助，但使用它(包括导航条款、条件和资格)却不那么直接。更好地理解这些救济计划和合规要求将有助于组织自信地优化这种援助。