OBJECTIVES:  Develop a model to estimate and visualise optimal pricing levels and cost savings of dialysis program in the UK. Present economic model as interactive web-based app and develop data visualisations to effectively communicate complex, structured health data and inform regional healthcare budgeting and decision making for patients with chronic kidney disease. METHODS:  The model utilises UK hospital episode statistics and as a primary data source. Future healthcare budget projections and extent of savings from introduction of dialyses therapy are estimated from the payer perspective. Model simulation time horizon is 5 years. Efficacy data was informed from published clinical study demonstrating higher rate of treatment response for patients on dialyses. Sensitivity analysis was conducted to estimate parametric uncertainty around model outcomes. RESULTS:  Direct medical cost savings following an introduction of a dialysis therapy are estimated to be GBP 4,102 per patient. Cost savings in outpatient and inpatient settings were GBP 320 and GBP 2,458 respectively. Sensitivity analyses indicated that efficacy and direct cost parameters had the strongest magnitude of impact on model base case results. CONCLUSIONS:  Model estimated that dialyses is a cost saving programme. An economic model powered with web capabilities and dedicated data visualisation libraries is a more effective tool to convey detailed economic data. Models deployed as web apps remove data presentation limitations of conventional modelling packages like MS Excel and utilise advantages of dedicated data visualisation libraries and web environment to more effectively present and communicate results of budget impact models.