Patient Satisfaction Correlation System
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Solution Overview
Problem
Current advances in medicine and healthcare have not directly translated to improved patient satisfaction, as patients may view care unfavorably even with positive medical outcomes if their experience does not meet their expectations.
Innovation Solution
A system that automatically stores and correlates event data from various electronic devices and patient perception data to determine proposals for improving patient satisfaction, utilizing a processor and output devices to convey these proposals and potentially adjust services or amenities based on the correlations found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical outcomes are improved through advances in medicine and healthcare, then patient health results are better, but patient satisfaction does not necessarily improve because patient experience may still fail to meet expectations
Solution Approach 1:
The system implements feedback by collecting patient perception data through surveys and correlating it with event data from electronic devices. This feedback loop enables identification of specific factors influencing patient satisfaction and allows healthcare facilities to adjust services and amenities accordingly, directly addressing the gap between medical outcomes and patient experience
Solution Approach 2:
The system acts as an intermediary between medical outcomes and patient satisfaction by introducing data collection, analysis, and correlation mechanisms. It mediates the relationship by identifying specific experience factors that influence satisfaction, enabling targeted improvements without compromising medical quality
2Ease of operation
If patient perception data is collected and analyzed to improve patient satisfaction, then patient experience can be enhanced, but system complexity increases due to multiple electronic devices and data processing requirements
Solution Approach 1:
The system achieves universality by creating a multi-functional platform that performs data collection from multiple electronic devices, patient survey administration, data correlation analysis, and recommendation generation. This single integrated system handles diverse functions that would otherwise require separate systems, managing complexity through consolidation
Solution Approach 2:
The system implements self-service through automated data collection from electronic devices and automated correlation analysis between event data and perception data. The system autonomously identifies satisfaction factors and generates improvement proposals without requiring extensive manual intervention, reducing operational complexity
Data Source
AI summary
Systems, modules, and methods set forth herein may allow patient satisfaction to be improved. One system for improving patient satisfaction includes computer readable media, an output device, a processor in data communication with the computer readable media and the output device, and electronic instructions that, when executed by the processor, perform steps for: (a) automatically storing event data from a plurality of electronic devices in the computer readable media; (b) storing perception data obtained from a plurality of patients in the computer readable media; (c) accessing the event data; (d) accessing the perception data; (e) determining at least one correlation between the event data and the perception data; (f) determining at least one proposal to improve patient satisfaction based on the at least one correlation; and (g) actuating the output device to convey the at least one proposal to improve patient satisfaction.