Request a your Complimentary Proof of Concept  (POC) Study Today!

Start Your Journey Toward Improving HCAHPS Scores and the Patient Experience Today!
According to consulting giant, McKinsey & Company, many health systems make large investments to improve the patient experience but fail to achieve their desired objectives.  In fact, health system executives report that roughly 70 percent of their patient experience initiatives fail. Moreover, 25% of value-based purchasing reimbursements are tied directly to HCAHPS scores.  Now, more than ever, patient satisfaction and performing well on the HCAHPS survey is a priority.

Participate in a Complimentary Proof of Concept Study  - Causation Modeling® .

This study does not replace your current survey partner.  Instead, we analyze your sanitized Patient Experience survey data and return a Custom Insight Report at no cost. The report includes:

1. A customized  analysis of your Patient Experience survey data.  (See Example of Causation Modeling® Here!)
   
2. A driver impact analysis based on Causation Modeling®.
3. Insight into how driver performance levels reward and punish patient satisfaction.
4. A sensitivity analysis for demographic characteristics like, “Language, Gender, Ethnicity, Level of Education.”
5. A sensitivity analysis showing how far off the hospital is from the goal in a particular domain.
6. How much the domains matter in explaining “Likelihood to Recommend.”
7. A clear prioritization of actions with quantifiable impact.

You will also benefit from knowing the extent to which your hospital is immune from the 5 Frequent PX Missteps Holding Patient experience Scores Back!

TPMG’s Patient Experience (PX) Causation Modeling® uses advanced analytics to uncover the root causes behind satisfaction scores and operational performance.  By modeling relationships between processes, staff behaviors, and patient feedback, TPMG provides evidence-based recommendations that drive measurable improvements in the care experience.  Moreover this approach helps executives prioritize investments and interventions for maximum impact. 

Frequently Asked Questions

Q1: What is PX Causation Modeling®?
It’s a data-driven method to identify which operational factors most influence patient satisfaction and outcomes.

Q2: How does TPMG use this analysis?
We build statistical models that pinpoint high-leverage opportunities for improvement, guiding targeted actions to raise HCAHPS and quality scores.

Q3: What makes TPMG’s approach unique?
We merge statistical modeling with best practices, linking data insights directly to facilitate clincial, operational, administrative and cultural  change.