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Ethical Standards I01:25

Ethical Standards I

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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.
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Health Information Technology (HIT)
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Ethical Standards II01:23

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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.
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Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Data management and sharing.

Claude Pellen1, Nchangwi Syntia Munung2, Anna Catharina Armond3

  • 1University Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Centre d'investigation clinique de Rennes (CIC1414), Rennes, France.

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Summary
This summary is machine-generated.

Responsible data sharing in biomedical research requires overcoming knowledge gaps, time constraints, and legal hurdles. Strategic planning and stakeholder collaboration are essential for making data sharing standard practice.

Keywords:
Clinical trialsData managementData sharingEthicsIntegrityOpen science

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Area of Science:

  • Biomedical Research
  • Data Science
  • Research Ethics

Background:

  • Responsible data sharing, guided by FAIR principles, necessitates high-quality datasets.
  • Researchers face challenges implementing Data Management and Sharing Plans, including knowledge gaps, time limits, and legal/technical/financial issues.
  • Concerns about data ownership, privacy, intellectual property, and competitive advantage hinder data sharing.

Purpose of the Study:

  • To identify barriers to implementing effective Data Management and Sharing Plans in biomedical research.
  • To explore the perspectives of patients, researchers, and funders on data sharing.
  • To highlight the need for global solutions and strategic planning for responsible data sharing.

Main Methods:

  • Literature review and synthesis of current practices and challenges in data sharing.
  • Analysis of stakeholder concerns regarding data ownership, privacy, and intellectual property.
  • Examination of existing policies and initiatives promoting data sharing.

Main Results:

  • Researchers struggle with practical implementation of data sharing plans due to various constraints.
  • Patients generally support data sharing, while researchers and funders express concerns.
  • Existing policies are insufficient, and global equity in data sharing remains a challenge.

Conclusions:

  • Implementing responsible data sharing requires addressing knowledge deficits, resource limitations, and legal complexities.
  • A cultural shift in research practices and coordinated efforts among all stakeholders are crucial.
  • Developing global solutions is vital for equitable participation, especially from low- and middle-income countries.