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Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

Methods of Documentation I: Source-Oriented Records

Methods of Documentation I: Source-Oriented Records

Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:

Integrated Healthcare System

Integrated Healthcare System

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,...

Statistical Analysis System (SAS)

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...

Flow Sheet

Flow Sheet

Flowsheets are valuable tools in nursing documentation. They enable healthcare professionals to efficiently record and monitor various patient assessments and measurements in a consolidated format.
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:

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Related Experiment Video

Updated: Jun 12, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

An Open-Source Systematic Reviews Integrated System (OSSYRIS) - Streamlining Processes and Standardising Data

Xavier Bosch-Capblanch^1,2, Christian Auer^1,2, A S M Sayem³

¹Swiss Tropical and Public Health Institute Allschwil Switzerland.

Cochrane Evidence Synthesis and Methods

|June 11, 2026

Summary

This summary is machine-generated.

The Open-Source SYstematic Reviews Integrated System (OSSYRIS) streamlines systematic reviews by integrating tools for data extraction and analysis. This open-source platform enhances efficiency and reliability in conducting systematic literature reviews.

Keywords:

data extraction integration open‐source systematic reviews

Related Experiment Videos

Last Updated: Jun 12, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

Area of Science:

Bibliometrics
Health Informatics
Scientific Publishing

Background:

Systematic reviews (SRs) are labor-intensive, involving diverse tasks.
Artificial intelligence (AI) offers potential to improve SR efficiency and reliability.
Integrating software tools across SR production stages is key for optimization.

Purpose of the Study:

To report the development of the Open-Source SYstematic Reviews Integrated System (OSSYRIS).
To address challenges in SR data extraction through standardized data structures.
To create an open-source platform integrating all SR tasks, including overviews of SRs.

Main Methods:

Selected Zotero (reference management), KoboToolbox (screening/extraction), and R (analysis/reporting) based on criteria: few applications, comprehensive coverage, interoperability, and open-source.
Integrated selected software using R's Application Programming Interfaces (APIs).
Developed standardized data extraction forms based on Cochrane handbook and author experience.

Main Results:

OSSYRIS integrates Zotero, KoboToolbox, and R for automated screening status updates and PRISMA flow diagram generation.
Standardized data extraction forms with pre-coded items, filtering, and modular structures improve data integrity.
Internal algorithms automate study design and risk of bias assessments based on reviewer-input criteria.

Conclusions:

OSSYRIS offers an open-source, integrated system for conducting systematic reviews.
The platform promotes the use of open-source tools in SRs.
OSSYRIS aims to foster a community of practice for continuous improvement within Cochrane and beyond.