CIS 450 Module 3 The E-Patient and Participatory Informatics Example

The Patient as Partner: E-Patients, Wearables and Participatory Informatics

Student Name

Health Care Administration Program, Aspen University

CIS 450: Informatics in Healthcare

Instructor Name

Month Day, Year

The Patient as Partner: E-Patients, Wearables and Participatory Informatics

E-patients are patients who are equipped, enabled, empowered and engaged in their health, often through digital tools. Participatory informatics studies how patients use technology to manage health, share data and collaborate with clinicians. This paper examines participatory informatics through a composite patient with type 1 diabetes and considers what it means for health care organizations.

The Patient

Ms. K., 34, has had type 1 diabetes since childhood. A sensor on her arm streams glucose values to her phone around the clock; uses an app to track insulin doses and meals, belongs to an online community of adults with type 1 diabetes, reads research summaries online and messages her endocrinology clinic through its portal.

Tools and Effects

The table summarizes the tools Ms. K. uses and their effects.

Patient Portals

Portals are the most common participatory tool offered by health systems. Irizarry and colleagues sorted 120 portal studies into five themes, uptake by patients, backing from clinicians, literacy, ease of use and usefulness, and concluded that portals can deepen engagement when clinicians promote them and the design is easy to use (Irizarry et al., 2015). Ms. K. uses the portal heavily because her endocrinologist responds within a day and encourages its use.

Wearables and Sensors

Consumer and medical wearables generate continuous data that patients can act on. Commentators have described promises, such as early detection and self-management, alongside barriers including uncertain accuracy for consumer devices, lack of evidence that tracking changes behavior long term, data overload and privacy concerns (Piwek et al., 2016). Ms. K.'s glucose monitor is a regulated medical device with clear clinical value; many consumer trackers are not.

Internet Information Seeking

Ms. K. brings printouts and questions to visits. Reviewing research on patients who bring online findings to appointments, Tan and Goonawardene concluded that the relationship tends to grow stronger when physicians respond with interest rather than dismissal (Tan & Goonawardene, 2017). Her endocrinologist welcomes her research and helps her judge sources.

Online Communities

Peer communities offer practical knowledge clinicians may lack, such as managing glucose during long runs, and emotional support. They can also spread misinformation. Ms. K. checks community tips with her clinician before changing her insulin plan, an example of combining peer and professional knowledge.

Sharing Data With Clinicians

Ms. K.'s glucose data upload to a platform her clinic can view. Before visits, a nurse reviews a summary report showing time in target range and patterns of lows. Shared data turn visits from recalling numbers into solving problems. The clinic had to decide who reviews uploaded data, how often and how patients are told what to expect.

Equity

Participatory tools are not equally available. Continuous glucose monitors can be costly or restricted by insurance, smartphones and data plans cost money, and portals can be hard for people with limited literacy or English. Organizations that encourage participatory tools must also offer alternatives and help, or they will widen gaps between patients.

Privacy

Data from apps and consumer devices may not be covered by the same privacy rules as clinical records, and some apps share data with third parties. Ms. K. reviewed her app's privacy policy and turned off data sharing for marketing. Clinics recommending apps should consider privacy practices, not just features.

What Organizations Can Do

Organizations can encourage portal use, integrate device data into records with clear review responsibilities, train clinicians to respond supportively to patient research, recommend vetted apps and communities and provide help for patients with limited access or skills. They can also invite experienced e-patients onto advisory councils to shape digital services.

Clinician Workload

Participatory tools create work for clinicians. Messages, uploaded device data and questions about online information all require time. Ms. K.'s clinic assigned a diabetes educator to review uploads and answer routine questions, protecting physician time for decisions. Without planning, patient engagement can overwhelm the very clinicians it is meant to support.

Patient-Generated Health Data

Data that patients generate outside clinical settings, from glucose monitors, blood pressure cuffs, symptom diaries and fitness trackers, are sometimes called patient-generated health data. They fill gaps between visits but vary in accuracy and relevance. Clinics need policies about which data they accept, how they are reviewed and how patients are told what happens to their data.

Shared Decision-Making

Participatory informatics supports shared decision-making. When Ms. K. considered switching to an automated insulin delivery system, she and her endocrinologist reviewed her glucose patterns together, discussed options she had researched and weighed costs and preferences. Data and information seeking made the conversation more balanced.

Digital Literacy Support

Some patients want to participate but lack confidence with technology. Ms. K.'s clinic runs short sessions on portal use and device setup and gives printed guides. Staff help patients enroll during visits. Support of this kind turns participatory tools from a privilege of the tech-savvy into an option for many.

Trust and Information Quality

Patients encounter both reliable and misleading information online. Clinics can recommend trustworthy sources and teach patients to check who publishes information, when it was updated and whether it cites evidence. Helping patients evaluate sources builds trust and safety.

Patients as Designers

Health systems increasingly invite patients to help design digital tools. Ms. K. joined her clinic's patient advisory council and tested a new portal feature for uploading device data, pointing out steps that confused her. Designing with patients, not only for them, produces tools people actually use.

Conclusion

Participatory informatics treats patients as partners who generate, interpret and share health data. Ms. K.'s use of a glucose monitor, apps, online communities, internet research and the portal shows the benefits of engaged patients, while research highlights the importance of provider endorsement, supportive responses and attention to device limits, equity and privacy. Organizations that support e-patients well can improve both experience and outcomes.

References

Irizarry, T., DeVito Dabbs, A., & Curran, C. R. (2015). Patient portals and patient engagement: A state of the science review. Journal of Medical Internet Research, 17(6), Article e148. https://doi.org/10.2196/jmir.4255

Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLOS Medicine, 13(2), Article e1001953. https://doi.org/10.1371/journal.pmed.1001953

Tan, S. S.-L., & Goonawardene, N. (2017). Internet health information seeking and the patient-physician relationship: A systematic review. Journal of Medical Internet Research, 19(1), Article e9. https://doi.org/10.2196/jmir.5729