# Visualization and Improvement of the Quality, Efficiency, and Equity of the Healthcare System - Secondary Publication

**Authors:** Yuichi Imanaka

PMC · DOI: 10.31662/jmaj.2023-0196 · JMA Journal · 2024-04-11

## TL;DR

This paper discusses how visualizing healthcare data can improve the quality, efficiency, and fairness of health systems in a society facing population decline.

## Contribution

The paper presents a 35-year overview of research on visualizing healthcare systems at multiple levels to support reform and stakeholder collaboration.

## Key findings

- Visualization of healthcare systems using individual-level data helps understand system performance.
- Analyzing healthcare at organizational and national levels reveals opportunities for improvement.
- Creating a social system for health requires visualizing and sharing health determinants with stakeholders.

## Abstract

In a depopulating society, it is difficult to ensure sufficient resources and finances for health and health care. Thus, effective management of the reform of the healthcare system by visualizing the quality, efficiency, and equity of health care is imperative. This article presents an overview of the studies conducted by my team in this area over the past 35 years, covering the following four sections: (1) visualization of healthcare system using individual-level data, (2) healthcare system at the organizational level, (3) healthcare system at the national and regional levels, and (4) creation of a social system for health.

To improve the quality, efficiency, and equity of the healthcare system as well as the social system for people’s health, it is necessary to visualize the actual situation and share this information with all stakeholders to contribute to the joint management of healthcare system. On this basis, from the perspectives of each region and the nation, it is important to visualize and grasp various wider determinants of people’s health and healthcare performance and to improve health care and social systems.

## Full-text entities

- **Diseases:** alcohol-related diseases (MESH:D019973), Crisis (MESH:D001752), bronchial asthma (MESH:D001249), Aging (MESH:D019588), diabetes (MESH:D003920), COVID-19 (MESH:D000086382), pneumonia (MESH:D011014), Acute Myocardial Infarction (MESH:D009203)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC11074537/full.md

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11074537/full.md

## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC11074537/full.md

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Source: https://tomesphere.com/paper/PMC11074537