Post-Session LLM-Based Analysis of Multi-Role Teleconsultations for Audit and Medical Education

Synchronous video teleconsultations between primary care staff and hospital specialists can provide timely expert input without moving the patient, yet the resulting recordings are often left as opaque audiovisual files that are costly to review and difficult to reuse for audit or teaching. This paper presents a post-session analysis pipeline that turns each multi-role consultation into a repository-ready case fiche. The approach combines speech processing (time-aligned transcription and speaker/role attribution) with LLM-based temporal structuring, structured extraction, and section-level summarisation. A key design goal involves that every extracted item and summary statement is linked to time references over the transcript and the original audiovisual stream, so reviewers can quickly verify evidence and navigate to relevant moments. The work is situated within the MRP-5G system context, but focuses specifically on the post-session analytics layer and its repository-oriented outputs. We also describe a reproducible evaluation protocol based on a synthetic multi-role corpus generated by our web prototype, providing controlled ground truth (scripts, turn boundaries, roles, and timestamps) and enabling largely automatic metrics for role attribution, traceability, and retrieval/navigation. Finally, a qualitative spot-check illustrates typical failure modes and practical mitigations when producing structured, evidence-linked artefacts.