In the vast expanse of the healthcare landscape, where patient care and hospital reputation are inextricably linked, hospitals frequently deploy a myriad of quality improvement initiatives, interventions, and actions. The goal is clear: to enhance the quality of care and ensure that patients receive the best possible treatment outcomes. However, there’s an underlining challenge that Chief Medical Officers (CMOs), Chief Nursing Officers (CNOs), and Quality Teams often grapple with — How do we know if these interventions are genuinely working?The Absence of an Evidence-Based Mechanism
The pharmaceutical and medical device industries have stringent regulations and methodologies in place, such as clinical trials, to validate the efficacy of drugs and devices. These evaluations are robust, evidence-based, and ensure that when a medication is prescribed or a device used, its impact and safety are well-understood.
Contrastingly, hospitals, despite being at the forefront of patient care, have traditionally lacked a systematic, data-backed methodology to evaluate the effectiveness of their quality initiatives. This creates a scenario where, even after deploying significant resources and efforts, hospitals might still be in the dark about the actual impact of their quality improvements.
For example, here are some interventions that your hospital may have made:
Implemented a new order set
Organized Care Navigators to follow up with specific patient cohorts
Implemented new clinical protocols
Tested for certain conditions
Put in a new risk score
For all of these interventions, have you analyzed what impact it has on your quality measures such as readmissions and mortality?Enter Dexur's "Evidence-Based Quality Management" Solution
Recognizing this pressing need for evidence-based evaluations of quality initiatives, Dexur has pioneered its cutting-edge "Evidence-Based Quality Management" solution. Here’s how it is revolutionizing the way hospitals measure the impact of their quality interventions:
Time Series Data Analysis: Dexur overlays events, interventions, and actions on a time series data spectrum. This allows hospitals to map out when specific changes were implemented and observe any consequent shifts in quality metrics.
Algorithmic Evaluations: Beyond just time-based tracking, Dexur employs sophisticated algorithms that isolate variables, helping determine if an improvement in quality was genuinely due to the intervention or some other external factors.
Graded Impact Assessment: Not all interventions have a binary outcome. Some might have a significantly positive impact, while others might be neutral or even negative. Dexur’s solution provides a nuanced analysis, helping hospitals understand the varying degrees of impact each intervention brings.
Informed Decision Making: Armed with this robust, evidence-based analysis, hospitals can make more informed decisions, scaling interventions that work while reconsidering or modifying those that don't yield desired results.
By offering this level of granular, evidence-backed insight, Dexur ensures that the perennial question haunting CMOs, CNOs, and Quality Teams — Is this quality intervention making a difference? — is finally answered with clarity and conviction.