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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Nursing Clinical Information System01:27

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:
Health Information Technology and Healthcare Information System01:30

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:
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...

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Related Experiment Video

Updated: May 9, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Continual development of a personalized decision support system.

Dina Demner-Fushman1, Charlotte Seckman, Cheryl Fisher

  • 1U.S. National Library of Medicine, NIH, Bethesda, MD, USA.

Studies in Health Technology and Informatics
|August 8, 2013
PubMed
Summary
This summary is machine-generated.

Clinical decision support tools enhance healthcare safety and efficiency. The Evidence-Based Practice InfoBot (EBP InfoBot) system aids in creating individualized patient care plans, demonstrating successful integration and daily use.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Electronic Health Records

Background:

  • Meaningful use of Electronic Health Records (EHRs) aims to improve care safety, quality, and efficiency.
  • Successful adoption of clinical decision support (CDS) tools relies on information quality, clinical relevance, system integration, and usability.

Purpose of the Study:

  • To present the continuous development and evaluation of an evidence-based system for individualized patient care plan development.
  • To share lessons learned in the development and maintenance of the EBP InfoBot system.

Main Methods:

  • Continuous development and iterative evaluation of the Evidence-Based Practice InfoBot (EBP InfoBot) system.
  • Deployment and ongoing monitoring of the EBP InfoBot in a clinical setting.

Main Results:

  • The EBP InfoBot system has been in daily use at the NIH Clinical Center since August 2009.
  • The system averages 21 requests per day, indicating consistent utilization.

Conclusions:

  • Evidence-based clinical decision support systems can be successfully developed and integrated into daily clinical workflows.
  • The EBP InfoBot demonstrates the feasibility and utility of technology in supporting individualized patient care planning.