Creating an intuitive tool that uses up to 100 input parameters to identify the optimal mix of drugs that will results in a reduction of hospital admissions for patients with both heart failure and chronic kidney disease, while considering the variance across multiple localities, can be a daunting challenge.
Parallel teamed up with Decision Labs to design and build a web-based simulation tool that allows pharmaceutical sales teams to better demonstrate the benefits of specific Sodium-glucose Cotransporter-2 (SGLT2) inhibitors to the National Health System decision-makers. The primary target was to demonstrate the reduction of hospital admissions that is achieved by increasing the use of a new inhibitor.
The web-based application is centred around a simulation model that visualises how patients with a mix of type 2 diabetes, heart failure, and chronic kidney disease move through the health system, known as the patient pathway. One of the main benefits is that users can optimise the model to visualise the beneficial impact, such as increasing the adoption of health checks, increasing the adoption of a specific SGLT inhibitor, and reducing outpatient appointments by 25% through patient-initiated follow-ups.
The challenge presented was to improve the user experience of the base simulation output from the third-party software, AnyLogic platform. The initial simulation and its settings were presented in the AnyLogic interface. The user experience was found to be unworkable.
Salespeople needed to allow for highly detailed input parameters and fine-tune the simulation model to demonstrate the benefit of specific inhibitors. This workflow became highly complex, with up to 100 input parameters and a lot of variability across different patient populations for each locality. Therefore, salespeople and NHS officials needed an intuitive interface to collaboratively fine-tune both input and outcome parameters to avoid errors and ensure the accuracy of the simulation.
To solve this challenge, we created a clear flow that allowed salespeople to define up to 100 input and outcome parameters. These parameters were compiled into logical groupings, making it easy for users to work through them. To avoid false simulations and wasted time, we also created an alert system alongside the groupings that would flag any issues, either by missing inputs or erroneous inputs.
The key inputs were fine-tuned to spread across the various inhibitors in use by creating a visual mechanism to define the spread using sliders. We also included visualisations that made it more efficient to identify differences in the assumed outcomes between the various inhibitors. To enhance the user experience, we created a highly visual simulation animation to allow users to understand how and how many patients go through the pathway.
The solution allowed for the creation of different scenarios in which users were able to tweak the input parameters and then compare the potential benefits. Furthermore, the simulation visualisation had different modes, such as representing the patient flow day by day or cumulative over several years. This helps health professionals better understand the impact of the use of inhibitors, which can ultimately lead to better patient outcomes.