Learn: Clinical Quality Analytics
April 27, 2022
February 16, 2022
January 26, 2022
January 12, 2022
December 22, 2021
December 22, 2021
Better Clinical Decision Support for COVID-19: Identifying Patients at Highest-Risk
Estimates place the in-hospital mortality for patients with COVID-19 between 15 and 25 percent, making early identification of individuals at high risk an imperative. Clinicians need reliable tools to identify individuals at the highest risk of severe deterioration. Risk-scoring tools exist for common acute conditions (such as septic, hypovolemic, or cardiogenic shock), but these methods don’t focus on COVID-19’s primary clinical impact—respiratory function. As a result, patients experiencing severe symptoms of COVID-19 may appear stable according to vital signs, such as heart rate and blood pressure, when they’re in fact critically ill. A more evolved approach to COVID-19 risk scoring focuses hypoxemia, or a below-normal blood oxygen level.
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.
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.
AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness
Healthcare organizations have a vast amount of data available. Data need to be converted into better decisions regarding organizational focus, resource allocation, and setting and driving toward appropriate targets to optimize performance. Beyond significant data integration and transformation, optimal leadership decisions require a broad perspective and cutting-edge analytics.
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.