Central Asian University and Social by AKFA Conduct Second Phase of Simulation Research for Future Diagnostic Center
The second phase of simulation testing for Social by AKFA — a future diagnostic center undergoing pre-opening validation under conditions closely resembling real clinical operations — was successfully conducted at the CAEx Uzbekistan venue. The simulations tested patient flow management, routing systems, workload distribution, digital infrastructure, and a dedicated HR component focused on physician recruitment through clinical simulation.
Central Asian University acted as the academic and research partner of the project. The university actively involves students from its Medical School, develops simulation-based medical education, and collaborates with the Social team in collecting data for scientific analysis. Following the research series, the team plans to prepare a scientific publication and present key findings to the professional community.
During the second phase, the simulations became significantly more advanced: organizers introduced more realistic clinical scenarios, expanded digital analytics, physician performance assessment tools, and a separate medical staff recruitment module for the future center.
The primary objective is to test the future clinic before its official opening — including operational processes, team readiness, digital infrastructure, quality of clinical decision-making, and the system’s ability to function under real patient flow conditions.
The simulation program consists of two parallel components.
The first focuses on modeling the operational workflow of the future diagnostic center’s patient reception area. The site recreated the key components of the future clinic, including registration, nursing stations for recording basic patient indicators, physician consultations, laboratory services, radiology, functional diagnostics, follow-up visits, and internal patient routing throughout the system.
Each participant goes through a complete clinical scenario involving complaints, medical history, symptoms, and a specific task for the physician. Doctors must gather information, conduct consultations, make clinical decisions, establish preliminary diagnoses, and direct patients further according to protocol.
This format allows the team to identify bottlenecks, overloaded zones, patient waiting times, and how effectively the digital system supports patient navigation throughout the clinical journey.
According to Murad Akhrorov, CEO of Social, the project is built around a research-driven approach:
“We intentionally approach the launch of the medical center through research first — by modeling processes, collecting data, and identifying weak points in advance. Our goal is to validate the system, the team, and the technologies before the opening of the Social diagnostic center.”
During the simulation, data is collected in real time. The system tracks patient routes, waiting times, consultation duration, workload distribution across departments, completed and incomplete scenarios, as well as the reasons why certain patient journeys stop before completion.
These findings will later be used to prepare analytical reports and introduce improvements to the diagnostic center model before launch.
The second major simulation block is dedicated to physician recruitment for the future Social by AKFA diagnostic center.
Instead of traditional interviews, candidates undergo full-scale clinical simulations. They interact with patients, work through medical scenarios, make decisions under time constraints, apply practical skills, and demonstrate their ability to perform in real clinical environments.
The evaluation process assesses clinical reasoning, diagnostic skills, communication abilities, decision-making speed, adherence to standards, and resilience under pressure.
This approach makes it possible to build the medical team before the center opens while also identifying which competencies are already strong and which require further development.
Digital technologies and AI-driven analytics are actively integrated into the physician assessment process. One of the tools includes an AI-powered digital physician assistant that records consultations, recognizes speech, extracts complaints, symptoms, medical history, and clinical indicators, and then generates structured medical documentation.
Artificial intelligence also helps evaluate consultations based on predefined criteria such as consultation structure, completeness of information gathering, communication quality, and adherence to standards. This reduces subjectivity and makes the recruitment process more transparent and measurable.
At the same time, final assessments are formed comprehensively through input from examiners, simulated patients, HR specialists, the medical team, and digital analytics.
Within the patient flow module, the IT platform tracks the patient journey end-to-end — including registration, waiting times, consultation duration, referrals to laboratory services, radiology, functional diagnostics, or follow-up visits. If a scenario remains incomplete, the system identifies exactly where and why the patient route was interrupted.
The data updates every few minutes, allowing the team to monitor current workload distribution, queues, average waiting times, and patient allocation across zones in real time.
For Central Asian University, the project carries special significance. The simulation has become a unique new format of medical education. CAU students are actively involved in the project, practicing within a functioning clinic model: interacting with patients, collecting complaints, analyzing medical history, observing patient flow, and understanding how clinical decisions affect the entire healthcare system.
Students gain valuable experience in conditions closely resembling real medical practice. The format strengthens preparation for clinical training, practical medical examinations, and independent work in healthcare environments.
The second phase of Social by AKFA simulations combines several areas that are usually developed separately: medical education, operational clinic management, digital analytics, artificial intelligence, patient experience, workforce preparation, and healthcare ecosystem design.
For Social by AKFA, this is an opportunity to validate the future diagnostic center before launch, reduce operational risks, and prepare the team in advance. For Central Asian University, it represents the development of a new level of practical medical education and healthcare research initiatives.
The core idea behind the simulation project is simple: not to wait until opening day to discover mistakes, but to test and improve the system beforehand in conditions as close to reality as possible.