Case Study: Average Impact Study
AdvoCor’s versatile platform drives improvement in a variety of carelines through the use of its AI algorithm paired with integrated reporting tools.
In a study performed by AdvoCor from 2015 to 2018, consisting of 153 services, hospitals saw an average improvement in Patient Satisfaction Scores of 3.28.
Top performing hospitals using AdvoCor to improve dining satisfaction saw an increase of 7.5 raw score points, while top performers using the platform to improve hospitality saw gains of 9.6 in their top box scores.
Case Study: Clinical Rounding and Patient Orientation
Southeastern Network, a two hospital system, used the AdvoCor platform to organize patient experience operations and facilitate weekly debriefs of nursing and executive management through the reporting feature.
The hospital system went from a 3 star rating to a 5 star rating after deployment. Patient Satisfaction scores increased by an average of 5.46 points with a projected revenue increase of 13.6%.
Individual scores for patient hospital rating, likliehood to recommend, cleanliness and meal scores all improved significantly. These results were measurable within 6 months of implementation of the AdvoCor platform.
Case Study: AI Workforce Deployment and Employee Engagement
Through a combination of Employee Engagement Rounding and the AI prioritization of Patient Rounding, a large midwestern hospital network was able to demonstrably improve their patient reported experiences.
AdvoCor was being utilized in five different carelines (clinical, dining, housekeeping, facilities and safety). Their post launch scores on average showed a +9.5 percentile rank improvement in “Rate the hospital 0/10” and a +7.4 percentile rank improvement in “Recommend the hospital.”
Patient Satisfaction scores improved by an average of 2.9 points with a projected revenue increase of 7.25%.
The intent of the consumerism calculator is to identify a hospital’s HCHAPS performance and illustrate a correlation to consumerism, defined as patient referral, patient leakage, and patient loyalty. Based on Deloitte’s “2015 Survey of US Health Care Consumers”, we correlate the current performance in HCAHPS top box and bottom box to determine how likely a patient will return to a hospital or not, and how likely a patient is to refer a new patient or not. We then present a corresponding dollar figure for each.
Email me the results!
Your contact information is in safe hands.
We will only contact to communicate with your organization. Your information will not be distributed or made public. We promise not to spam you!