Creating AI Generated Patient Education Materials

In addition to the initial response, the learner is required to reply to two (2) other learners’ responses. Each reply must be at least 250 words without references, demonstrate course-related knowledge, and include at least three (3) peer-reviewed sources. They are due by 11:59 p.m. EST on the Sunday of the assigned week.

Please post a reply to the following 2 discussion posts:

First discussion:

1.Research shows that real-time access to health records through patient portals and digital tools can improve patient engagement, communication, and self-management of health conditions. Systematic reviews of patient access to electronic health records (EHRs) demonstrate improvements in patient understanding, medication adherence, and provider-patient communication when patients can review their own health information (Tapuria et al., 2021). Studies also show that health information exchange and digital health systems can improve care coordination and patient outcomes when implemented effectively (Chen et al., 2019). Recent research highlights major concerns about privacy, trust, and fair access. Many patients are willing to share their health data electronically but want transparency, control over data access, and clear explanations of how their data is used (Gupta et al., 2023). The use of artificial intelligence, data sharing, and third-party technology companies raises additional ethical issues, making strong privacy protections and ethical oversight essential (Subbian et al., 2021).

I found that using ChatGPT to create the patient education infographic was both intuitive and efficient. The tool enabled me to organize substantial research into clear categories, including benefits, risks, and patient rights. This experience aligns with research indicating that well-designed digital tools can increase patients’ access to and understanding of healthcare information (Tao et al., 2018). Additionally, ChatGPT was especially effective in translating complex healthcare and informatics terminology into language suitable for a general patient audience. Nevertheless, several difficulties remain. For instance, ChatGPT frequently generalized findings or omitted details regarding the applicability of studies to specific patient populations. Existing research demonstrates disparities in patient portal engagement among individuals with chronic diseases and older adults, and AI-generated summaries may fail to address these disparities without targeted prompting (Kim & Choi, 2019). ChatGPT also made spelling and grammatical errors, even after multiple attempts at prompting changes. These observations show that while AI systems are proficient at compiling information, human review remains essential to ensure accuracy and contextual relevance.

A key strength of the infographic was its readability. The content was clearly organized, used straightforward language, and addressed patient priorities, including understanding health data and privacy protection. Research indicates that patient portal access enhances satisfaction and engagement when information is both understandable and accessible (Tapuria et al., 2021). These findings underscore the major impact that readable, patient-centered materials exert on patient outcomes.

A key strength of the infographic was its readability. The content was clearly organized, used straightforward language, and addressed patient priorities, including understanding health data and privacy protection. Research indicates that patient portal access enhances satisfaction and engagement when information is both understandable and accessible (Tapuria et al., 2021). These findings underscore the major impact that readable, patient-centered materials exert on patient outcomes.

However, certain aspects required revision. For example, verifying that each claim was substantiated by peer-reviewed evidence required manual assessment. Additionally, while AI can help ensure factual accuracy, it may generalize healthcare outcomes as universally applicable, even though research indicates that digital health benefits differ by socioeconomic status, digital literacy, and technology access (Azzopardi-Muscat & Sorenson, 2019). This reinforces the importance of human review, especially when AI is used for patient education.

If I were to repeat this assignment, I would begin by selecting key research articles to guide the development of AI prompts. This approach would likely enhance citation accuracy and decrease the time required for revisions. Through this process, I also deepened my understanding of patient engagement as a multifaceted concept that goes beyond the provision of information. Specifically, research demonstrates that patient engagement encompasses trust, clear communication, and emotional support, particularly when patients access sensitive health information through portals prior to discussions with providers (Hartzler et al., 2023). These insights will help form my future career as a Physician Assistant, enabling me to apply a more comprehensive approach to patient engagement and information management.

References

1. Azzopardi-Muscat, N., & Srensen, K. (2019). Towards an equitable digital public health era: promoting equity through a health literacy perspective. European journal of public health, 29(Supplement_3), 1317. https://doi.org/10.1093/eurpub/ckz166

2. Chen, M., Guo, S., & Tan, X. (2019). Does Health Information Exchange Improve Patient Outcomes? Empirical Evidence From Florida Hospitals. Health affairs (Project Hope), 38(2), 197204. https://doi.org/10.1377/hlthaff.2018.05447

3. Gupta, R., Iyengar, R., Sharma, M., Cannuscio, C. C., Merchant, R. M., Asch, D. A., Mitra, N., & Grande, D. (2023). Consumer Views on Privacy Protections and Sharing of Personal Digital Health Information. JAMA network open, 6(3), e231305.

4. Hartzler, A. L., Xie, S. J., Wedgeworth, P., Spice, C., Lybarger, K., Wood, B. R., Duber, H. C., Hsieh, G., Singh, A. P., & SDoH Community Champion Advisory Board (2023). Integrating patient voices into the extraction of social determinants of health from clinical notes: ethical considerations and recommendations. Journal of the American Medical Informatics Association : JAMIA, 30(8), 14561462.

5. Kim, T. K., & Choi, M. (2019). Older adults’ willingness to share their personal and health information when adopting healthcare technology and services. International journal of medical informatics, 126, 8694.

6. Subbian, V., Solomonides, A., Clarkson, M., Rahimzadeh, V. N., Petersen, C., Schreiber, R., DeMuro, P. R., Dua, P., Goodman, K. W., Kaplan, B., Koppel, R., Lehmann, C. U., Pan, E., & Senathirajah, Y. (2021). Ethics and informatics in the age of COVID-19: challenges and recommendations for public health organization and public policy. Journal of the American Medical Informatics Association : JAMIA, 28(1), 184189. https://doi.org/10.1093/jamia/ocaa188

7. Tao, D., Yuan, J., & Qu, X. (2019). Effects of presentation formats on consumers’ performance and perceptions in the use of personal health records among older and young adults. Patient education and counseling, 102(3), 578585.

8. Tapuria, A., Porat, T., Kalra, D., Dsouza, G., Xiaohui, S., & Curcin, V. (2021). Impact of patient access to their electronic health record: systematic review. Informatics for Health and Social Care, 46(2), 194206.

Second discussion:

2.My experience using the AI tool was somewhat challenging as I am not used to using AI. Although it was challenging, I thought it was a great assignment and definitely something that I could use in my career. The AI tool helped to simplify complex information by giving me key points or summarizing the articles I chose. The AI tool was able to simplify the articles, but not necessarily in the way that I would need to choose to present to patients.

I think the AI tool was effective at summarizing the articles and pulling out specific information from the article when requested. When choosing how to type information that would be useful for patients, specific requests to simplify for patient use was necessary and I had to take the information and make it presentable for a brochure. Human oversight is and will always be necessary to review for accuracy and tailor to specific needs.

If I could repeat this assignment I would start off by asking the information to be summarized to present in a brochure specifically. My understanding of patient engagement and communication evolved by realizing that when patients are active participants in their care it leads to higher satisfaction.

I ensured that the materials were tailored to meet the diverse needs of patients with various levels of health literacy and comprehension by putting short simple information on the brochure that is easy to read and understand. To better engage patients who may have concerns about topics such as privacy or mistrust of technology by supplementing this brochure with a handout that specifically addresses these specific concerns. I would include information about HIPAA guidelines and data encryption.

With this assignment, I will carry on lessons not only about using AI to produce patient education materials but also to make sure that when presenting educational materials to patients, it is important to make sure that information is narrowed down to language that patients can understand and benefit from. From this experience, moving forward I could use AI to produce educational materials for patients by condensing information and making it presentable for patient use.

Many of my peers had very creative ideas using a one-page flyer that is bold and eye catching. .l I think that could be more beneficial to patients as it has all of the necessary information presented on one page rather than a brochure.

I think that AI has a lot of potential in increasing patient engagement and education because it allows patients to participate more in their care and to be more informed about their health. I would recommend safeguards such as educating patients on data rights and privacy, clear policies, and user-friendly access to portals.

References

Son, E. H., & Nahm, E.-S. (2023). Adult Patients Experiences of Using a Patient Portal With a Focus on Perceived Benefits and Difficulties, and Perceptions on Privacy and Security: Qualitative Descriptive Study. JMIR Human Factors, 10, e46044.

Shah, A., & Fiala, M. A. (2025). Disparities in Access and Utilization of Electronic Health Record Patient Portals. Journal of general internal medicine, 40(10), 22332239.

Kyytsnen, M., Vehko, T., Jylh, V., & Kinnunen, U. M. (2024). Privacy concerns among the users of a national patient portal: A cross-sectional population survey study. International journal of medical informatics, 183, 105336. https://doi.org/10.1016/j.ijmedinf.2023.105336