The pilot view provides a theme-centric perspective on studyspecific data. The elements of the first navigation level are arranged by study category, which is either population health and chronic disease management, oncology, or industrialization of healthcare services. At the second level, the user can choose a specific study to inspect, such as kidney disease or asset management. After selecting this study, the user can in the third level choose a particular aspect of the study to read about, which in the fourth level is shown. All studies provide an identical set of aspects that can be explored, for example, Business Aspects, Challenges and Learnings, or Achievements.

In contrast to the Pilot View, as discussed above, the Transversal Aspects view shows the user a horizontal view (across studies) of the content. The elements of the first navigation level in this view are arranged by aspect and are similar to the third level in the pilot view but with the difference that the aspects building blocks, ethical and privacy issues, and security issues are further subdivided, so the chunks of information presented to keep a reasonable size to be inspected interactively. Building blocks, for example, is further split into the aspects data processing, system interaction, auditory and logs, Natural Language Processing, image processing, system architecture, and prediction.

The Stakeholder Perspective organizes the information in such a way that relevant information for the specific target group is shown. In total, eight target groups are addressed: policymakers, hospital decision-maker, privacy officer, hospital IT/equipment, clinical staff, data scientist, health insurance, and patient. At the first navigation level, the user selects the target group of interest, and at the second level, the topic of interest. For example, policymakers can read about your city AI, privacy measures, or learnings. In contrast, the information presented to data scientists is of wider scope. In addition to information about policies, also information about more technical issues such as natural language and image processing or information about access control is included for this group.

The Patient Journey view organizes the information according to a realistic but fictitious patient journey and shows in the first navigation level four different stages in this journey: at the GP4, at the Hospital, at Home, and Follow-up GP. After selecting a particular stage, the user can either read about studies including this stage in the patient journey or about applying BigMedilytica Technologies to this specific patient Journey stage.

The General Learnings view presents lessons learned from the BigMedilytics project that are of a broader and less study-specific nature. The information presented in the first navigation level is grouped into eight thematic categories, such as Data, Technology, or Business Impact. For example, under the category Ethical, Legal, and Privacy, it is pointed out that consent gathering to use patient data is of major importance before the data can be used and analysed. Category Big Data Blueprint differs because it (a) links to the Blueprint document (see Chapter 25 – Data Processing in Healthcare Using CRISP) and (b) to a Blueprint Matrix table listing for a selection of aspects, e.g., Natural Language Processing, the studies contributed to.