Kauno Klinikos: Evaluating a surgical-coordination proposal

Graduate team consulting · Modeled operating proposal

I contributed to a hospital workflow business case using Monte Carlo and Bayesian analysis. Hospital stakeholders accepted the team’s assumptions and reasoning; financial and operating benefits remained projections.

Role: Graduate Student Consultant in a Johns Hopkins healthcare and regulatory strategy team engagement.

The operating question

The project examined surgical coordination at Kauno Klinikos, a Lithuanian hospital. The team investigated how coordination across surgical and anesthesiology departments, scheduling, and resource use could inform a proposal to reduce cancellations and improve utilization.

My contribution

I contributed to hospital workflow analysis, requirements for a surgical-coordination solution, and a business case using Monte Carlo simulation and Bayesian Network Analysis. The team developed an alignment framework and a phased implementation roadmap.

Recommendation and supporting reasoning

The team proposed a centralized clinical-coordination system with integrated scheduling. Workflow analysis and the modeled business case supported the proposal; the roadmap set out a phased approach to deployment and utilization goals.

The analysis depended on operating-model assumptions. The team tested those assumptions with hospital stakeholders, who accepted the team’s reasoning. That feedback supported the proposed approach, while the financial and operating benefits remained projections.

Result and limits

The completed work produced an operating proposal, analytical business case, and implementation roadmap. Stakeholder acceptance concerned the team’s assumptions and reasoning. Implementation and realized benefits are unverified.

This case presents the operating logic and contribution without financial headlines or sensitivity results. It does not claim realized savings, improved utilization, or fewer cancellations.