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Related Concept Videos

Patient-centered Care01:13

Patient-centered Care

Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data from the...
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Ethical Dilemmas II01:30

Ethical Dilemmas II

Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:

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Updated: May 24, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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A Methodology for Creating Patient Relevant Questions Suitable for Evaluating AI Generated Health Advice.

Suhani Goyal1,2, Hua-Hsin Tai3, Elisabeth Rosen3

  • 1Clinical Informatics Center, University of Texas Southwestern Health System, Dallas, TX, USA.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study developed realistic scenarios to compare patient perceptions of artificial intelligence (AI) versus physician responses in patient portals. It lays the groundwork for understanding AI

Keywords:
EthicsExplaintable and trustworthy AIPatient empowermentand AIregulation

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Clinical Communication

Background:

  • Artificial intelligence (AI) shows promise for enhancing patient-facing communication in healthcare.
  • Limited research exists on patient interpretation and trust in AI-generated clinical responses.

Purpose of the Study:

  • To develop and validate realistic patient-portal scenarios for comparing AI-generated and physician-generated responses.
  • To investigate patient perceptions of AI in clinical communication.

Main Methods:

  • A modified Delphi approach was used to construct six clinical scenarios.
  • Parallel responses were generated by physicians and ChatGPT for each scenario.
  • The study outlines protocol design, data sourcing, consensus, and evaluation steps.

Main Results:

  • The study successfully developed a protocol and a set of validated scenarios.
  • This methods paper details the systematic approach for evaluating patient perceptions.

Conclusions:

  • The developed protocol provides a foundation for future research on AI in patient communication.
  • Understanding patient trust and interpretation is crucial for AI implementation in healthcare.