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Nursing Clinical Information System

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Critical attributes of NCIS include:

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

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Current Trends in Nursing I

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Related Experiment Videos

Optimizing nursing clinical decision support systems: Insights from nurses' experiences.

Qi Zhang¹, Aliaya Adili¹, Zhenghong Yu¹

¹Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China.

Health Informatics Journal

|May 27, 2026

Summary

Nurses need better Nursing Clinical Decision Support Systems (Nu-CDSS). Key improvements include relevant information, workflow integration, and technical support for optimized patient care.

Keywords:

clinical decision support system models needs assessment nursing user-centered design

Related Experiment Videos

Area of Science:

Nursing Informatics
Health Information Technology
Clinical Decision Support Systems

Background:

Nursing Clinical Decision Support Systems (Nu-CDSS) are critical tools in modern healthcare.
Evaluating user experiences post-implementation is vital for system refinement.

Purpose of the Study:

To explore nurses' experiences with a Nu-CDSS two years after implementation.
To identify user-centered areas for optimizing the Nu-CDSS.

Main Methods:

A descriptive qualitative study was conducted in a Shanghai tertiary acute care hospital.
Semi-structured interviews were performed with 15 clinical nurses and nurse managers.
Thematic analysis using the 5R framework was applied to interview data.

Main Results:

Seven themes and 14 subthemes identified user-centered optimization needs.
Key areas include enhancing information relevance, role-based usability, workflow integration, platform interoperability, and reminder optimization.
Robust technical support and standardized protocols were also emphasized.

Conclusions:

Optimizing Nu-CDSS requires enhancing the knowledge base, interface integration, and platform synchronization.
Improvements in reminder timing, technical support, and AI-enhanced features are crucial.
Future systems should balance AI support with the preservation of nurses' clinical judgment.