MedModus developed a demand-driven OR allocation model and analytics dashboard that enables dynamic allocation of OR slots to specialties and consultants based on real-time need.
MedModus assessed the above concerns and challenges, and recognized that a solution needed to consider the following:
- At minimum, the need for consultants to keep up with waiting list demand.
- The need to reduce waiting lists, especially for those consultants and specialties with the largest backlogs.
- Not all surgeries and not all consultants are the same – different procedures, different complexities, different lengths of time required will mean different allocations and approaches.
- COVID-19 had a substantial impact on surgical activity that may not reflect true demand.
An iterative assessment and analysis process was followed, collaborating with clinical leadership at the hospital. MedModus started with one specialty for basic proof of concept, incorporating emergency and elective surgical activity, waiting list trends, consultant-level procedure times, and other factors across multiple time periods, and then expanded to all other surgical specialties. Validation was sought between all phases of development, both from the expertise of clinical stakeholders and from rigorous data analysis. This contributed to both building trust with TUH and gaining valuable insight into daily operational procedures and challenges that would then result in targeted improvements to the model. This was a collaborative effort, joining numbers and narrative, data, and clinical and administrative practices.
From this, an interactive analytics dashboard was built that showed the ideal operating room allocations for every consultant within every specialty, with variable controls for sensitivity analysis – all the information necessary in one place to make informed decisions.