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Related Concept Videos

Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
Ethical Standards II01:23

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy and...
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
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...
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...

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Related Experiment Video

Updated: Jul 16, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

Designing Granular Consent Tools for Sensitive Health Data: Challenges, User Needs, and Stakeholder Guidance.

Reid A Cooper1, Mengyi Wei1,2, Martha Kaiser1

  • 1Arizona State University, College of Health Solutions, United States.

Applied Clinical Informatics
|July 14, 2026
PubMed
Summary

Developing patient-controlled health data sharing tools requires patient-centered design, clear communication, and addressing trust barriers. Granular, computable consent is key for equitable and safe data sharing.

Related Experiment Videos

Last Updated: Jul 16, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

Area of Science:

  • Health Informatics
  • Patient Data Privacy
  • Digital Health Tools

Background:

  • Meaningful patient control over sensitive health data sharing is crucial in healthcare.
  • Existing consent mechanisms often lack granularity and patient-centricity.
  • Developing effective patient-facing consent tools is a significant challenge.

Purpose of the Study:

  • To examine challenges, design requirements, and implementation considerations for a granular, patient-facing consent tool.
  • To understand how to enable meaningful patient control over sensitive health data sharing.
  • To identify stakeholder perspectives on developing advanced health data consent systems.

Main Methods:

  • Conducted semi-structured interviews with 16 expert stakeholders (clinical, health IT, governance, policy).
  • Utilized the National Science Foundation I-Corps framework and collaborated with Shift.
  • Analyzed interview transcripts using thematic analysis with deductive and inductive coding.

Main Results:

  • Patient-centered, trauma-informed design and plain language are essential for meaningful consent (75%).
  • Barriers include lack of trust, stigma, workflow burden, and EHR technical limitations (63%, 56%).
  • Granular, computable consent (50%) and interoperability standards like FHIR (19%) are important.

Conclusions:

  • Effective consent management needs alignment between patient-centered design, technical computability, and governance.
  • Integrating enforceable, transparent consent into workflows can reduce nondisclosure and support safety.
  • Granular, patient-directed consent and computable standards promote trustworthy, equitable health data sharing.