The study, known by the acronym MAESTRI, was conducted by a team of researchers spanning several German institutions, including the Institute for Digital Medicine at Philipps-Universität Marburg, the Department of Rheumatology and Clinical Immunology at Justus-Liebig University Giessen, and collaborating centers in dermatology and orthopedics. Led by first authors Anna Roemer and Tim Wilhelmi, with Philipp Klemm and Johannes Knitza as senior authors, the trial was designed as a multicenter, parallel-group, randomized pilot study. It recruited adults who were considered to be at increased risk of an underlying inflammatory rheumatic disease and who were presenting to outpatient services in three specialties: rheumatology, dermatology, and orthopedics. Participants were randomly assigned either to complete a pre-visit computer-assisted history-taking questionnaire or to receive usual care.

The technical architecture of the intervention is what distinguishes it from the countless patient questionnaires that have come and gone in digital health. Specialty-specific questionnaires were designed to capture a predefined set of screening-relevant items, the specific pieces of information a clinician would need to judge whether an inflammatory rheumatic disease might be present. Crucially, the software did not simply store the answers in a separate silo. Instead, it generated a structured narrative summary that was formatted to be copied directly into the clinical documentation. In the intervention group, every single clinical note contained this generated summary, meaning the tool was not merely available but was actually integrated into the workflow of writing notes. That integration step, often the weakest link in digital health interventions, appears to have been decisive.

The primary outcome of the trial was documentation completeness, assessed by a blinded reviewer as the percentage of predefined screening-relevant items that made it into the final clinical documentation. The results were striking. The median completeness score in the intervention group was 100.0 percent, with an interquartile range of 100.0 to 100.0, meaning that essentially every patient in that arm had every relevant item documented. In the control group, the median was 46.9 percent, with an interquartile range stretching from 10.0 to 68.8 percent, a spread that illustrates how inconsistent conventional history-taking can be when time is short and demands are high. The difference between the groups was statistically significant, with a p-value below 0.001, and the pattern held consistently across all three participating specialties.

Those numbers deserve a moment of unpacking, because documentation completeness is not an abstract quality metric. When a physician documents the presence or absence of key symptoms, that record becomes the foundation for subsequent clinical decisions, referrals, insurance determinations, and follow-up care. A record that captures fewer than half of the screening-relevant items is a record that forces the next clinician to start from scratch, or worse, one that quietly omits a clue that would have triggered earlier diagnostic workup. In screening contexts, where the entire purpose of the encounter is to determine whether a disease process warrants further investigation, the gap between 47 percent and 100 percent completeness is the gap between a sieve and a net.

Equally important for the future of this approach is the question of acceptance, because even the most elegant software fails if patients refuse to use it or physicians resent the extra step. Here the pilot study delivered encouraging news. Of the 43 randomized and analyzed patients, 41, or 95.3 percent, said they were willing to complete the pre-visit questionnaire. Among the six physicians who responded, all six, a full 100 percent, said they would be willing to offer digital pre-visit questionnaires before future appointments. In a health technology landscape littered with tools that clinicians quietly abandon, a unanimous willingness to continue is a notable signal, even in a small sample.

The qualitative feedback collected in the study added texture to those numbers and revealed why the tool resonated. Patients reported that the pre-visit questionnaires could improve preparation for the consultation, support their recall of symptoms, and help physicians focus the visit on the issues that mattered most. Anyone who has sat in an examination room trying to remember when the morning stiffness started or which joints have been affected will recognize the value of being prompted to think through those details in advance, at home, without the pressure of a ticking clock. The structured questionnaire effectively moves part of the cognitive burden of history-taking out of the consultation and into a moment when the patient has time to reflect.

At the same time, the study captured an important caution from participants. Some emphasized that digital questionnaires should complement, rather than replace, direct physician interaction. That distinction goes to the heart of what computer-assisted history-taking is and is not. The tool in this trial did not diagnose, did not triage patients away from clinicians, and did not substitute an algorithm’s judgment for a physician’s examination. It collected structured information, formatted it for the record, and freed the human encounter to be more focused. The patients in the study seemed to understand that distinction, embracing the efficiency while defending the irreplaceable value of talking with their doctor. Any future deployment would be wise to preserve that boundary.

The trial’s scale demands honest caveats. This was a pilot study, with 45 patients screened and 43 randomized and analyzed, and a mean age of 54.2 years with about two-thirds of participants female. The physicians surveyed numbered only six. Small samples can overestimate effects, and the near-perfect completeness scores in the intervention group reflect a tool specifically engineered to guarantee that the predefined items appear in the note. The authors themselves frame the findings as supporting further evaluation in a larger trial that would assess both workflow impact and clinical impact, meaning whether better documentation actually translates into earlier diagnosis and improved outcomes for patients with inflammatory rheumatic disease. The study was registered prospectively at the German Clinical Trials Register under identifier DRKS00036519, and it received ethics approval from the Ethics Committee of Philipps University Marburg.

Even with those limitations, the MAESTRI pilot offers a compelling glimpse of where outpatient medicine may be heading. The intervention required no exotic technology, no artificial intelligence making diagnostic decisions, and no fundamental restructuring of the clinic. It asked patients to answer structured questions before their visit, converted those answers into a copy-ready narrative summary, and ensured the summary landed in the clinical note. The result was a doubling or more of documentation completeness, near-universal patient acceptance, and unanimous physician buy-in across three different specialties. As health systems worldwide grapple with aging populations, specialist shortages, and the mounting administrative burden that consumes clinician time, the lesson from this German trial is that some of the most impactful digital health tools may be the ones that work quietly in the background, before the consultation even begins, making sure that nothing a patient knows about their own body gets lost between the waiting room and the medical record.

Subject of Research: Pre-visit computer-assisted history-taking for documentation completeness in screening for inflammatory rheumatic diseases

Article Title: Effect of pre-visit computer-assisted history-taking with a structured copy-ready summary on documentation completeness in screening for inflammatory rheumatic diseases: a randomized pilot study

Article References: Roemer, A., Wilhelmi, T., Fink, D., Göbel, M., Hack, J., Bamberger, J., Mühlensiepen, F., Gente, K., Kuhn, S., Klemm, P., & Knitza, J. (2026). Effect of pre-visit computer-assisted history-taking with a structured copy-ready summary on documentation completeness in screening for inflammatory rheumatic diseases: a randomized pilot study. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15808-0

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15808-0

Keywords: computer-assisted history-taking, documentation completeness, inflammatory rheumatic diseases, rheumatology, screening, digital health, randomized pilot study, pre-visit questionnaires, clinical documentation, patient acceptance, health services research, outpatient care