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Gender Harmony: A Case for Nursing Informatics.

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Digital health systems often ignore gender diversity, causing harm. Implementing the HL7 Gender Harmony Model (HL7 GHM) can improve care and reduce health inequities for all individuals.

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Area of Science:

  • Digital Health
  • Health Informatics
  • Health Equity

Background:

  • Digital health information systems (DHIS) often conflate sex and gender, creating a binary that contributes to health inequities.
  • Inadequate information systems lead to misgendering, deadnaming, and outing, resulting in inappropriate care, disrespectful encounters, and avoidance of health services by transgender and gender diverse individuals.
  • These systemic issues create significant barriers to affirming clinical interactions and equitable healthcare access.

Purpose of the Study:

  • To examine how the HL7 International Gender Harmony Model (HL7 GHM) can address harms caused by non-affirming digital health information systems.
  • To demonstrate the practical application of the HL7 GHM in improving digital health system design and implementation.
  • To provide a case study illustrating the benefits of adopting inclusive data standards in healthcare.

Main Methods:

  • A case study approach was used, analyzing a recently published patient account from Canada.
  • The study focused on applying the principles and framework of the HL7 GHM to the identified issues.
  • Qualitative analysis of the patient experience was conducted to assess the impact of system design.

Main Results:

  • Applying the HL7 GHM can facilitate the design and implementation of DHIS that support affirming communication.
  • The model provides a structured approach to address specific information needs for inclusive clinical interactions.
  • Implementation of the HL7 GHM can mitigate harms such as misgendering and deadnaming, leading to more respectful and appropriate care.

Conclusions:

  • The HL7 GHM is a valuable tool for creating more equitable and affirming digital health information systems.
  • Adopting inclusive data standards is crucial for reducing health disparities and improving patient experiences.
  • Healthcare providers and system designers should leverage the HL7 GHM to ensure respectful and effective care for all patients.