A hospital is a complex system of workflows. AI and web technologies can help not only with models, but also with organizing data: who is responsible for what, which tasks are open, where load appears, which documents must be generated and what changed in a patient card.
For hospitals, the most practical value often comes not from a single model, but from a connected system: registries, calendars, access rights, tasks, reports, directories, change history and analytics.
The laboratory treats such systems as research prototypes that can be adapted to real institutional rules after a separate audit of workflows, security requirements and legal constraints.
The strongest effect appears in workflows with heavy manual coordination, repetitive documents and dependencies between staff members.
AI can support classifier search, workload analytics, identification of common bottlenecks, operator suggestions and automation of routine work. Critical actions, however, must remain controlled.
If an institution is interested in this direction, the first step is to describe workflows, roles, data sources, access constraints and desired outcomes. After that, a prototype, pilot or full integration can be discussed.
Research Research and Development of a CRM System for Unbroken Hospital The laboratory researched and developed a demonstrational CRM system for a medical institution: patients, staff, wards, tasks, NK 025:2021 diagnoses, PDF reports, permissions and audit logs.
Research Surgical Instrument Recognition System for St. Panteleimon Hospital The laboratory researched and developed a camera-based computer vision system for recognizing, training and digitally cataloguing thousands of surgical instruments.
Yes, but adaptation requires describing the specific institution’s workflows, roles, data, access rights, documents and security rules. Without this, a universal CRM usually does not work well.
No. We describe research, prototypes and cooperation directions. Real deployment requires a separate agreement, testing, data protection and approval by hospital decision-makers.
Describe the institution, problem, desired result, available data or systems, timeline and responsible contact person. This helps quickly assess whether the task fits a research or pilot format.
The laboratory is ready to discuss research, prototypes and non-commercial projects with universities, laboratories, companies, hospitals and public institutions.
