Related Experiment Video
Updated: Apr 30, 2026
07:31
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
8.3K
Implementation and evaluation of an efficient secure computation system using 'R' for healthcare statistics
Koji Chida1, Gembu Morohashi1, Hitoshi Fuji1
1Secure Platform Laboratories, NTT Corporation, Tokyo, Japan.
Summary
This study introduces a secure statistical analysis system for medical data. It enables computation on encrypted records, enhancing patient privacy and enabling secure analysis of sensitive health information.
Area of Science:
- Medical Informatics
- Cryptography
- Statistical Computing
Background:
- Secondary use of medical data is crucial but hindered by privacy concerns.
- De-identification of medical data, especially for rare diseases, presents security challenges.
- Rigorous security management is essential for protecting patient privacy in medical data analysis.
Purpose of the Study:
- To develop a secure system for statistical analysis of medical data.
- To enable computation on encrypted medical records without decryption.
- To address the privacy constraints in secondary data use.
Main Methods:
- Utilized secure computation techniques from cryptography.
- Implemented a system combining secret-sharing-based secure computation with original computation.
- Integrated the system with the statistical software 'R' for healthcare statistics.
Main Results:
- Successfully computed average and unbiased variance for ~50,000 records in over a second.
- Accurately performed computations involving conditional expressions (t-test, median) within minutes.
- Demonstrated the system's capability for secure statistical analysis on encrypted medical data.
Conclusions:
- The proposed system maintains high security as medical records remain encrypted during analysis.
- It overcomes the processing time limitations of traditional secure computation protocols.
- Offers a secure and interactive method for analyzing medical data using 'R'.
Related Concept Videos
01:11Introduction to R
4.4K
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
4.4K
01:12Statistical Software for Data Analysis and Clinical Trials
1.7K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.7K
01:30Health Information Technology and Healthcare Information System
1.6K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.6K
01:20Integrated Healthcare System
2.4K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
2.4K
01:29Issues And Trends In Healthcare Delivery System
6.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.5K
01:25Statistical Methods for Analyzing Epidemiological Data
1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K