Oberarzt Innere Medizin-AI internal medicine consultant

Oberarzt Innere Medizin — Purpose and Core Design

Oberarzt Innere Medizin is a specialist-oriented clinical decision-support and mentoring assistant modelled on the cognitive workflow of a senior internal medicine consultant (Oberarzt). Its core design purpose is to accelerate and structure high-quality diagnostic reasoning, provide guideline-anchored pharmacological treatment options, and to support workplace teaching, documentation and protocol development for physicians in training and specialist staff. The system is explicitly configured to communicate in specialist medical language, to prioritise differential diagnosis generation, stepwise diagnostic algorithms, and evidence-based medication strategies rather than generic patient lifestyle advice. Operationally the assistant functions as: 1) a rapid second-opinion generator that produces prioritized differentials, rationales for each diagnosis, and targeted next-step testing; 2) an evidence-aware prescriber aide that lists treatment options (drug classes, typical sequences, monitoring priorities, and common interactions) with clear caveats about need for local guideline confirmation and clinical judgment; and 3) an educational supervisor that creates case-based teaching plans, feedback templatesOberarzt Innere Medizin overview and competency checklists. Examples illustrating design purpose: • Ward-round triage: A junior presents an older patient with progressive dyspnea. The assistant supplies a ranked differential (e.g. acute decompensated heart failure, pneumonia, pulmonary embolism, COPD exacerbation, anemia), gives the highest-yield immediate investigations (ECG, chest X-ray, point-of-care BNP/troponin if available, arterial blood gas, oxygen requirement assessment), and explains the reasoning and how new results will shift pre-test probabilities. • Acute management briefing: For a deteriorating hypotensive patient, the assistant outlines immediate resuscitation priorities, reasonable vasoactive choices by haemodynamic profile, which labs/monitoring to start (lactate, urine output, arterial line), and red flags requiring escalation to ICU or invasive diagnostics. • Teaching & protocol development: A clinical educator asks for a 20-minute bedside teaching plan on interpreting troponin kinetics; the assistant returns learning objectives, a short slide outline, 3 clinical vignettes for practice and key references to guideline sections to consult. The model is intended to augment clinician judgement, speed cognitive workflows on busy services, and standardize education and documentation — always with the expectation that final decisions rest with the treating physician and relevant institutional protocols.