POEM Optimization (Perioperative Evaluation and Management)

The University of Texas MD Anderson Cancer Center is seeking a firm to implement customizable technology solutions for the Perioperative Evaluation and Management (POEM) Center. The goal of the project is to increase staff productivity and reduce surgery cancellations by enhancing patient engagement and preparation, streamlining patient data collection, and enhancing internal coordination of care. The solution should provide technology tools that support triage, patient engagement, and rule-based scheduling for non-clinical and clinical staff. The scope includes incorporating a dynamic questionnaire with branching logic, enhancing 2-way communication between patients and care teams, and streamlining backend staff-facing scheduling processes. • The solution should be AI-powered and support omnichannel patient engagement. • The solution should include a dynamic questionnaire with branching logic to collect patient general medical history. • The solution should provide backend rules-based scheduling support. • The solution should ensure secure bi-directional data exchange with MD Anderson’s clinical and support teams. • The solution should be compatible with institutional systems such as Epic, Salesforce, and Genesys.