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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:

SBAR II: Application of SBAR

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...

Hospitals-II

Hospitals-II

Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in hospitals have...

SBAR I: Understanding the Concept

SBAR I: Understanding the Concept

Effective communication among healthcare professionals during hand-off reporting is essential to delivering safe and continuous patient care. Common professional interactions include reports to healthcare team members, hand-off, and transfer reports. Nurses routinely report information to other healthcare team members and also urgently contact healthcare providers to report changes in patient status.
Standardized methods of communication have been developed to ensure that information is...

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:

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Related Experiment Video

Updated: May 12, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

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Published on: January 15, 2017

Load Balancing at Emergency Departments using 'Crowdinforming'.

Marcia R Friesen¹, Trevor Strome, Shamir Mukhi

¹University of Manitoba, Canada.

Online Journal of Public Health Informatics

|April 10, 2013

Summary

Crowdinforming, a process control strategy, can help balance patient loads across Emergency Departments (EDs). This simulation shows ED arrival rates are key metrics for managing ED busyness and improving patient flow.

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A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings

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Published on: November 9, 2016

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Last Updated: May 12, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings

Published on: November 9, 2016

Area of Science:

Healthcare Management
Operations Research
Public Health

Background:

Emergency Department (ED) overcrowding is a significant global healthcare challenge.
Balancing patient loads between EDs can optimize patient flow and reduce wait times.
This study explores 'Crowdinforming' as a strategy for load balancing across multiple EDs.

Purpose of the Study:

To determine trends in ED visits and parameter interactions.
To develop a process control strategy integrating crowdinforming.
To evaluate the model's impact on patient self-redirection and ED load balancing.

Main Methods:

Utilized anonymous patient visit data from 120,000 ED visits across six facilities over six months.
Developed a simulation model incorporating crowdinforming principles.
Evaluated the model's effectiveness in a simulated environment.

Main Results:

ED arrival rates emerged as the most useful metric for ED 'busyness' in the tested dataset.
Initial results indicate that ED performance can benefit from load balancing initiatives.
The simulation highlighted the importance of identifying dataset-specific meaningful metrics.

Conclusions:

Crowdinforming shows promise as a tool for balancing patient loads between EDs within a process control strategy.
The study confirms the feasibility of disseminating crowdinformed data via web services for public access.
Simulation provides valuable insights for policy evaluation and public decision-making regarding ED attendance.