LogicStream CEO Patrick Yoder Featured in HITECH Answers
Patrick Yoder, CEO of LogicStream Health, recently published an article in the HITECH Answers blog. The article describes how health systems are benefiting from LogicStream’s Clinical Process Measurement solutions.
As health systems strive to become highly reliable organizations, they are focused on improving the quality of care they deliver to their patients. Difficulty often arises around standardizing and measuring the processes utilized by clinicians in care delivery and understanding how those processes impact clinical outcomes. Below are a couple excerpts from the article. You can read the entire article by following this link.
From the HITECH Answers article:
By facilitating new ways to measure clinician workflows, Clinical Process Measurement (CPM) drives a deeper understanding of the impact those processes have on outcomes and how they propel highly reliable healthcare. Clinical Process Measurement helps improve patient outcomes and reduce costs by fully capitalizing on standardized clinical process. It accurately measures clinical care processes to provide a comprehensive understanding of the impact they have on patient care. Finally, CPM delivers a sustainable and scalable approach to quality improvement that historically has been out of reach for most healthcare organizations.
Below are examples of leading healthcare organizations realizing the significant advantages of deploying cloud-based CPM solutions:
- Carilion Clinic applied LogicStream’s solution to monitor and measure the impact of clinical process on VTE and CAUTI rates so they could standardize processes to ensure optimal outcomes. The result was a reduction in care variation and reduced costs related to HACs.
- Tampa General Hospital (TGH) utilizes the LogicStream CPM solutions to achieve quality governance that is scalable and repeatable. One of TGH’s first initiatives was to understand and improve sepsis bundle compliance. Clinical Process Measurement enabled identification of the patient population most at-risk for sepsis by pulling information from the EHR and analyzing it to find patterns and anomalies. It also monitors blood cultures, antibiotic administration, and fluids in the at-risk population to identify instances of non-compliance, all while measuring the compliance and effectiveness of the resulting educational efforts.