

Team profile by members of the Bioethics and the Use of Real-World Mental Health Data project team
Introduction
Real-world mental health data (RWMHD) holds great promise for revolutionizing mental healthcare by providing valuable insights into treatment responses, personalized care and the underlying social determinants of mental health. However, to fully realize its potential benefits, it is imperative to address ethical considerations related to privacy, data protection and informed consent. This project thoroughly examined these challenges, shedding light on the limitations posed by existing policy frameworks such as HIPAA.
We propose six key recommendations, including the establishment of ethical guidelines, the formation of a governing body for RWD oversight and the implementation of enhanced informed consent practices. These measures are aimed at safeguarding patient rights and upholding ethical research standards while responsibly harnessing the potential of RWMHD.
Moving forward, advancing RWMHD requires extensive research efforts to develop comprehensive ethical frameworks and foster interdisciplinary collaboration, ensuring that this transformative tool is used ethically to enhance global mental health outcomes.
Team Goals
The project’s key research questions revolved around understanding the landscape of RWMHD usage in both clinical and research environments.
- First, we aimed to identify the most commonly used types of RWMHD in these settings, shedding light on prevailing practices.
- Second, we explored the legal frameworks governing the transfer and utilization of RWMHD at both national and international levels within research and clinical contexts, aiming to understand the regulatory landscape surrounding its use.
- Third, the project delved into the bioethical considerations pertinent to policymakers and stakeholders, emphasizing the need for ethical and responsible use of RWMHD to safeguard privacy, autonomy and well-being.
Key Activities
As part of our project plan, we engaged in several key activities:
- We conducted a comprehensive literature review, which encompassed peer-reviewed articles, grey literature, case studies and relevant policy documents. This review provided us with valuable insights into existing knowledge and best practices in our field.
- We facilitated experiential learning opportunities, such as demoing a RWMHD platform, to familiarize ourselves with the functionalities and capabilities of similar platforms.
- Stakeholder engagement was a crucial aspect of our project, involving activities such as learning calls and didactics to ensure that all relevant parties were informed and involved throughout the process.
These activities collectively aimed to provide diverse perspectives and enhance our understanding of real-world data and ethics.
Learn more about our stakeholder engagement activities!

Overview of Key Findings
Our research identified common types of RWMHD frequently utilized in mental health contexts. These include Electronic Health Record (EHR) data, administrative and claims data and patient-generated data from websites and wearable sensors.
Additionally, we explored the regulatory landscape governing RWMHD, such as the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act. Our findings underscored significant gaps in patient privacy and consent protections, highlighting areas for improvement to ensure the ethical use of RWMHD in mental health research and practice.
Our research also revealed several implications for the responsible utilization of RWMHD. Firstly, inadequate privacy protections may jeopardize patient privacy and autonomy, potentially leading to breaches of confidentiality and a loss of trust in healthcare systems. Secondly, the absence of robust consent frameworks raises ethical concerns regarding data usage, undermining principles of patient autonomy and beneficence.
Furthermore, insufficient protection of RWMHD may exacerbate the risk of discrimination and stigmatization, leaving individuals vulnerable to discriminatory actions or social repercussions based on their mental health status. This includes risks such as employment discrimination, social ostracism or denial of insurance coverage.
Therefore, it is crucial to implement strong safeguards to mitigate these potential harms and uphold ethical standards in mental health research and practice.
Project Outputs
Following the successful completion of presentations at various conferences and symposia, including the Bass Connections Showcase, Precision Medicine Tricon and the Health Data Science Showcase, our team is now focused on the next steps in disseminating our findings.
Our primary goal is to publish an overview of our research findings in a peer-reviewed journal, ensuring that our work reaches a wider audience and contributes to the ongoing discourse in the field. Additionally, we are exploring opportunities for further dissemination through workshops, webinars and collaborations with other research teams.
By continuing to share our findings through various channels, we aim to maximize the impact of our research and facilitate knowledge exchange within the research and policy communities.

Team Member Reflections
Throughout this project, we’ve collectively navigated the complex ethical landscape of mental health data, grappling with complex issues at the intersection of technology, policy, and patient care. Our experiences have challenged us to critically examine the ethical implications of data handling practices, while also fostering interdisciplinary collaboration and intellectual growth.
As we share our individual reflections, we invite you to join us in contemplating the ethical complexities inherent in the use of real-world data in mental health research and the imperative of upholding ethical principles to ensure patient well-being and equitable access to care.
Nate Einfeldt (M.B.A. ’24)
“Joining this Bass Connections team has given me a wide range of new knowledge. I learned about the process of getting approval for research projects under the IRB. By understanding the ethical principles that the IRB utilizes it helped frame the future discussion of bioethics that we will be solving.
Through our discussions with Holmusk, it showed how companies define ethical principles. Those definitions aren’t a standard established when handling HIPAA data, which can cause concern if certain firms don’t have strong measures of safety and handling of private data, although it was considered sanitized.
I also appreciated learning the white paper creation process. When multiple team members develop the outline together, there are numerous ideas being discussed simultaneously. Through our iterative process of refining and getting feedback from the Margolis Center it helped direct our research and paper creation process.
Overall, it has been a great experience to work with other Duke students and the Margolis Center to continue to learn more about how we should handle HIPPA-protected Mental Health RWD.”
Cassie Liang (M.S.S. ’25)