Javascript must be enabled to continue!
Comparison of Response Time Database RDBMS with NoSQL on Electronic Medical Records (EMR)
View through CrossRef
The electronic medical record is a system for storing and managing patient medical data in electronic form. EMR replaces traditional medical record systems that still use paper, allowing doctors and other medical personnel to access patient medical records more quickly and easily from anywhere, as long as they are connected to the same network. In the EMR, patient medical data is stored in electronic format, such as text, images, and test results. EMR allows doctors to create patient medical records, make drug prescriptions, place laboratory orders and radiology orders, and access other patient medical data in one centralized system. EMR can also enable doctors to perform data analysis to gain insight into a patient's health condition and improve the treatment provided. In this study, the ERM database is used, with one database using PostgreSQL and the other using NoSQL. The purpose of this research is to test the speed performance of PostgreSQL and NoSQL with insert, select, and delete commands. Testing Method Using 1,000 records, 5,000 records, and 10,000 records, with each record being tested three times, and then taking the average, The results of this study are that the NoSQL database insert command has a speed of 3,900 times faster than the PostgreSQL database with 1,000 data records, whereas with 5,000 data records the NoSQL database is 471 times faster, while with 10,000 data records the NoSQL database is 355 times faster, and the select command for 1 NoSQL database table is 8 times faster than the PostgreSQL database, while for the above 1 PostgreSQL database table is faster.
Title: Comparison of Response Time Database RDBMS with NoSQL on Electronic Medical Records (EMR)
Description:
The electronic medical record is a system for storing and managing patient medical data in electronic form.
EMR replaces traditional medical record systems that still use paper, allowing doctors and other medical personnel to access patient medical records more quickly and easily from anywhere, as long as they are connected to the same network.
In the EMR, patient medical data is stored in electronic format, such as text, images, and test results.
EMR allows doctors to create patient medical records, make drug prescriptions, place laboratory orders and radiology orders, and access other patient medical data in one centralized system.
EMR can also enable doctors to perform data analysis to gain insight into a patient's health condition and improve the treatment provided.
In this study, the ERM database is used, with one database using PostgreSQL and the other using NoSQL.
The purpose of this research is to test the speed performance of PostgreSQL and NoSQL with insert, select, and delete commands.
Testing Method Using 1,000 records, 5,000 records, and 10,000 records, with each record being tested three times, and then taking the average, The results of this study are that the NoSQL database insert command has a speed of 3,900 times faster than the PostgreSQL database with 1,000 data records, whereas with 5,000 data records the NoSQL database is 471 times faster, while with 10,000 data records the NoSQL database is 355 times faster, and the select command for 1 NoSQL database table is 8 times faster than the PostgreSQL database, while for the above 1 PostgreSQL database table is faster.
Related Results
Physical database design in document stores
Physical database design in document stores
NoSQL is an umbrella term used to classify alternate storage systems to the traditional Relational Database Management Systems (RDBMSs). Among these, Document stores have gained po...
Electronic Medical Record System Use and Determinants in Ethiopia: Systematic Review and Meta-Analysis
Electronic Medical Record System Use and Determinants in Ethiopia: Systematic Review and Meta-Analysis
Background
The strategic plan of the Ethiopian Ministry of Health recommends an electronic medical record (EMR) system to enhance health care delivery and strea...
Abstract TP34: Cerebrovascular Nursing Voice Is Critical, Information-Technology Listened, And Posterior Stroke Signs And Care Documentation Improved
Abstract TP34: Cerebrovascular Nursing Voice Is Critical, Information-Technology Listened, And Posterior Stroke Signs And Care Documentation Improved
Introduction:
The impact of EMR workflow template on the capture of signs of posterior circulation stroke is not well understood. The previous Stroke Unit’s EMR-workflo...
Analysis of NoSQL Database Vulnerabilities
Analysis of NoSQL Database Vulnerabilities
The NoSQL DBMS offers efficient solutions for storing and analyzing big data. The NoSQL data model provides better flexibility, schema less model, efficient storage and access mech...
Organizational and health professional readiness for the implementation of electronic medical record system: an implication for the current EMR implementation in northwest Ethiopia
Organizational and health professional readiness for the implementation of electronic medical record system: an implication for the current EMR implementation in northwest Ethiopia
Objective
The WHO developed a manual outlining the preliminary organizational and health professionals’ readiness to implement electronic medical records (EMR). O...
A COMPARISON BETWEEN NOSQL AND RDBMS: STORAGE AND RETRIEVAL
A COMPARISON BETWEEN NOSQL AND RDBMS: STORAGE AND RETRIEVAL
Relational database management systems (RDBMS) emerged as the solution for data storage in the past decades. All data storage systems and applications utilize a RDBMS in the heart ...
Barriers to the Adoption of Electronic Medical Record System in Ethiopia: A Systematic Review (Preprint)
Barriers to the Adoption of Electronic Medical Record System in Ethiopia: A Systematic Review (Preprint)
BACKGROUND
Electronic Medical Records (EMRs) have been an important tool in improving patient safety, improving the quality of health care, and increasing h...
Studi Literatur Komparasi SQL dan NoSQL dalam Pemilihan Basis Data Ideal untuk Skalabilitas Tinggi
Studi Literatur Komparasi SQL dan NoSQL dalam Pemilihan Basis Data Ideal untuk Skalabilitas Tinggi
This research compares SQL and NoSQL databases in terms of high scalability and data management efficiency. SQL, with its relational model and ACID principles, excels in data consi...

