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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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Generating actionable insights from free-text care experience survey data using qualitative and computational text

Daniela Rohde¹, Mona Isazad Mashinchi², Nina Rizun^2,3

¹National Care Experience Programme, Health Information and Quality Authority, Dublin, Ireland.

HRB Open Research

|November 23, 2023

Summary

This study analyzes patient feedback from national surveys using text analytics to identify key factors influencing care experiences. It aims to develop a tool for ongoing, standardized analysis to drive quality improvements in health and social care services.

Keywords:

information science patient satisfaction qualitative research quality of health care text analysis

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Area of Science:

Health Services Research
Computational Linguistics
Data Science

Background:

The National Care Experience Programme (NCEP) collects valuable qualitative patient feedback through open-ended survey questions.
Current analysis of this rich data lacks a unified approach, limiting its impact on service quality.
There is a need to systematically analyze patient experiences to identify drivers of positive and negative care outcomes.

Purpose of the Study:

To analyze qualitative responses from NCEP surveys to identify key factors in patient experiences.
To pinpoint areas for improvement in healthcare policy, regulation, and monitoring.
To develop an accessible tool for ongoing analysis of qualitative data, providing actionable insights for quality improvement.

Main Methods:

Utilizing computational text analytics and deep learning techniques to analyze over 93,000 comments from the National Inpatient Experience Survey and National Maternity Experience Survey.
Employing a comprehensive analytical framework grounded in service management literature and NCEP data for automated analysis.
Adopting scenario-based designs for effective presentation of insights to decision-makers.

Main Results:

Identification of key care activities, resources, and contextual factors associated with positive and negative patient experiences.
Pinpointing specific areas for enhancement in healthcare service delivery and policy.
Establishing a foundation for a tool to streamline the analysis of qualitative patient feedback.

Conclusions:

This study maximizes the potential of qualitative data from care experience surveys for quality improvement initiatives.
The developed tool will enable more efficient and standardized analysis of patient feedback.
Accelerating the translation of patient experience data into targeted quality improvements in health and social care.