E-Prescription Adoption, Chronically Ill Patients

Methodology

A recent target audience simulation by Minds shows that 72 percent of chronically ill patients in Germany experience significant barriers when using the e-prescription app. These results were validated with data from the Statistisches Bundesamt and highlight that the complex Gematik infrastructure slows down digital adoption, while the physical health card remains the dominant redemption method.

The Gematik Infrastructure as a Bottleneck in the Digital Patient Journey

The digitalization of the German healthcare system reached a historic milestone with the mandatory introduction of the e-prescription in early 2024. According to official reports from Gematik, over 1.8 billion electronic prescriptions were successfully transmitted by the first quarter of 2026. However, behind this impressive total lies a deep gap in actual digital usage depth. While nearly 95 percent of all statutory prescriptions are created digitally, in practice, around 70 percent of redemptions occur by physically inserting the electronic health card (eGK) into the pharmacy terminal. In contrast, the official e-prescription app from Gematik and the apps of health insurance companies account for only a single-digit to low double-digit percentage of transactions.

For providers of telemedicine platforms and digital health applications (DiGA), this discrepancy represents a significant business challenge. To offer a seamless digital patient experience, these platforms must understand why chronically ill patients who rely on regular care avoid the fully digital path via the app. The Minds simulation, featuring 600 anchored profiles of chronically ill patients in Germany, provides precise qualitative and quantitative insights into this issue.

The simulation highlights that the regulatory security requirements of the telematics infrastructure (TI) often exceed the limits of usability in the perception of patients. To use the app to its full extent, an NFC-enabled health card and a personal PIN from the health insurance company are required. This postal verification step leads to an immediate drop-off in the onboarding flow for many patients.

Barriers in Detail: Why the E-Prescription App Lags Behind the Physical Health Card

The analysis of the simulated patient responses shows a clear picture: the physical health card is preferred not due to a lack of interest in digitalization, but because it functions barrier-free compared to app usage. The eGK requires no passwords, no biometric data, and no prior registration in the doctor's office or pharmacy. It is the familiar link in the analog system that now works digitally in the background.

In contrast, the e-prescription app faces three major barriers:

First, the logistical hurdle of obtaining a PIN. Many statutorily insured individuals have never requested their PIN or have misplaced the letter from their health insurance company. The process of requesting a new PIN by mail and subsequently identifying oneself in a branch or via a PostIdent procedure is perceived as disproportionately tedious.

Second, the lack of visual feedback in the app. Patients in the simulation report that they are often unsure after visiting the doctor whether the prescription has already been stored on the Gematik servers. Since doctors often sign prescriptions in batches at the end of consultation hours, a time delay occurs, leading to confusion in the app.

Third, the lack of integration into daily routines. Chronically ill patients have established routines. Going to the pharmacy is often linked to other errands. In its current form, the app offers too little real added value to justify the initial setup effort. Only with the deeper integration of the electronic medication plan (eMP) and the electronic patient record (ePA) planned for 2026 could this value proposition shift.

Optimization Potential for Digital Health Platforms

For operators of telehealth platforms, these findings yield concrete starting points to minimize onboarding drop-offs. Since the regulatory requirements of Gematik cannot be bypassed, the UX infrastructure of the platforms must guide patients step-by-step.

A key lever is proactive education and guidance. Platforms should not wait until the moment a prescription is issued to refer to app usage, but should offer a step-by-step guide for requesting a PIN during patient registration. By providing easy-to-understand explainer videos and pre-filled forms for health insurance companies, the hurdle of postal verification can be mitigated.

In addition, digital health platforms should utilize interfaces that transparently display the status of the e-prescription. Informing the patient in real time that their doctor has signed the prescription and that it is now ready for redemption strengthens trust in the digital process. The Minds simulation shows that transparent status communication can increase the willingness to use the app by up to 40 percent.

Validation and Methodological Depth of the Simulation

The data presented in this study was generated using the Minds Target Audience Simulation Platform. Minds is not a simple chatbot interface, but a highly specialized research infrastructure based on a three-tier model:

On the first level (data anchoring), the simulation models are fed with real market data, CRM insights, and official statistics. No persona is based on pure assumptions. On the second level (simulation model), the platform draws on deep consumer knowledge and established demographic and psychographic behavioral models. On the third level (validation), the results are continuously benchmarked against real panel data and established reference benchmarks such as Kantar, Eurostat, and the Statistisches Bundesamt.

Minds achieves an average alignment of 85% to 95% with traditional physical panels regarding preferences, linguistic nuances, and objection structures. For specific questions and well-anchored segments, this alignment can even reach up to 100%.

The benefits for product and marketing teams are clear: while traditional market studies often take several weeks and consume significant budgets, Minds delivers deep, valid qualitative and quantitative insights in under an hour. This enables teams to test concepts, UI copy, and onboarding flows in real time, before budget is allocated for physical testing or development resources.

Furthermore, Minds is fully hosted on EU servers and operates in a 100% GDPR-compliant fashion. Since no personal data from real patients is processed, the data protection approval processes for panel participants, which are otherwise so critical in healthcare, are completely eliminated. This makes Minds an indispensable tool for agile product development in the highly regulated digital health sector.

Please note that Minds is designed as a simulation platform for target audience research. It is not intended for clinical or regulatory studies, representative price elasticity analyses, or political polling.

If you want to optimize the onboarding flows of your digital health platform and deeply understand your patients' adoption barriers, we invite you to download our detailed benchmark report and compare the Minds simulation directly with your existing panel results.

Learn how to optimize your digital patient journey now and download the full benchmark report at Minds Registration.