Analysing Hospital Management, Improving Efficiency and Enhancing Patient Services

As healthcare becomes increasingly digital, everyday clinical practice generates enormous volumes of information. Hospital management now requires centralised access not only to electronic medical records but also to HR and payroll data, pharmaceutical and supply data, and accounting information, with a real-time understanding of current conditions.

Our BI tool aims to improve hospital quality from the perspectives of patients, healthcare staff, the social environment and management. It classifies, extracts and processes data in six categories: management indicators, clinical indicators, patient safety, patient satisfaction, workload and HR indicators. This supports detailed management analysis, operational efficiency and better patient services. Each indicator can also be benchmarked against Group hospitals to provide an objective view of local performance.

Data is classified, extracted and processed in the following six categories:

Management Analysis

These functions show management performance from multiple perspectives. An overview combines profit and loss, patient visits and staff numbers. Other views include profit and loss by clinical department, utilisation of operating theatres as a costly resource, length of stay by admission period, maps showing areas from which few patients visit, and website browsing analysis.

Clinical Indicators

These functions display treatment-related statistics, including HbA1c control in patients with diabetes, protocol use in cancer patients, trends in antimicrobial use density by class, and clinical pathway use. The Group also sets annual priority indicators for improving care quality, helping share best practices.

Patient Safety

Incident and accident reports can be benchmarked between hospitals, departments and clinical specialties using categories such as time, staff profession and event summary. The aim is to encourage operational reviews that lead to improvement.

Workload

These functions show daily workloads for the hospital, clinical departments, wards and allied health staff, including comparisons with daily plans and workload per person. Ward maps show current bed use and support discharge planning for long-stay patients and ward organisation.

Patient Satisfaction

These indicators take the patient's perspective. They show waiting times before consultation and total time from arrival to payment by clinical department, as well as the Group's standard patient satisfaction survey results. Survey results can be benchmarked against other hospitals using patient characteristics such as age, area of residence, arrival time and clinical department.

HR Indicators

These functions show employment conditions such as length of service, staff turnover and overtime.
The Group conducts staff satisfaction surveys to improve the working environment and provide safe, high-quality care. Our analysis functions allow individual questions to be benchmarked between departments and hospitals, helping teams share effective practices and consider improvements.

Aggregating Information

Integration with other systems brings together revenue, expenditure, HR, workload, medical procedures, pharmaceuticals and medical supply data. Combining these data enables a comprehensive assessment at a glance.

Drill-Down Analysis

Data is linked at the detailed record level, allowing users to drill down from

the Group to a hospital, then to a clinical department or organisational unit, and finally to an individual

, helping identify issues quickly.

Sharing Improvements through Benchmarking

Comparison with other hospitals and clinical departments helps teams understand their position and encourages improvement towards exemplary hospital management. Sharing data across the Group also makes problems visible, allowing the Group to respond collectively.

Management Analysis

Clinical Indicators

Patient Safety

Workload

Patient Satisfaction

HR Indicators

Hokkaido

Tohoku

Kanto

Chubu

Kinki

Chugoku

Shikoku

Kyushu

Okinawa