Learn: Clinical Quality Analytics

Insights
Better Clinical Decision Support for COVID-19: Identifying Patients at Highest-Risk

据估计，COVID-19患者的住院死亡率在15%至25%之间，因此必须尽早识别高风险个体。临床医生需要可靠的工具来识别严重恶化风险最高的个体。风险评分工具适用于常见的急性情况(如感染性疾病、低血容量或心源性休克)，但这些方法并不关注COVID-19的主要临床影响呼吸功能。因此，出现COVID-19严重症状的患者可能会根据心率和血压等生命体征表现稳定，但实际上他们处于危重状态。一种更先进的COVID-19风险评分方法侧重于低氧血症，或低于正常血氧水平。

Insights
Deliver a First-Class Patient Experience with Five Financial Tactics

Healthcare organizations continually strive to improve each patient’s experience to ensure quality care delivery and qualify for financial reimbursements. Health systems try to optimize the patient experience through traditional methods, including better access and appointment reminders. However, organizations can improve the patient journey and deliver a first-class experience by taking a different approach—by targeting the following five aspects of the billings and collections process, providers can proactively inform patients about their financial expectations and avoid surprise bills.

Success Story
AI Can Advance Health Equity

Health technology and augmented intelligence (AI) can significantly improve or worsen health equity. Recently, there has been a growing concern that AI is increasing disparity. ChristianaCare set a goal to reduce avoidable health disparities. The organization faced many challenges, including inconsistent collection, storage, and use of personal characteristics such as race, ethnicity, and language. Using its data platform and Healthcare.AI™, ChristianaCare now has a single “source of truth” for personal characteristics data. By treating health equity as a goal with the same commitment and focus as it would for other clinical, operational, or financial improvement efforts, the organization is purposefully using AI to achieve health equity.

Success Story
AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness

医疗保健组织拥有大量可用数据。数据需要转化为更好的决策，包括组织重点、资源分配、设置和推动适当的目标以优化性能。除了重要的数据集成和转换，最优的领导决策需要广泛的视角和前沿的分析。

Previously, INTEGRIS Health had high volumes of data but lacked the insight it wanted to drive performance. By leveraging a robust analytics platform, INTEGRIS Health now has more comprehensive and better-integrated data coupled with the cutting-edge analytics it needs to make critical leadership decisions and drive daily performance.