Improving Healthcare Processes With Little-JIL Modeling

1. Studying Rigorously Defined Health Care Processes Describe, capture, and improve a complex health care process – verifying a patient’s identity. Deploy a novel set of methods – formal process modeling using a language called Little-JIL, simulations with embedded errors, observations, and eye tracking technology. Compare actual and ideal processes. Formally Model and Analyze Processes Using Little-JIL Capture How Real Individuals Complete Complex Processes • Define a process – such as verifying a patient’s identity – at any level of detail • Specify how to handle exceptional, non-normative conditions • Use the model as a basis for analyses (including automated analyses) • Detect and correct modes of failure • Assist decision making aimed at improving the process • Create clinical scenarios that realistically reflect providers’ work (e.g. verify patient ID before administering a medication) • Embed an error in one scenario for each provider (e.g., ID error for one of the patients each provider sees) • Observe providers, visually and using eye tracking equipment, as they complete the scenarios Compare Individuals’ Behaviors to the Little-JIL Process Model • Granularity: map physical events (e.g. look at name on ID band) to Little-JIL cognitive processes (e.g. verification) • Operation Under Exceptional Events: assess process differences for a single individual across scenarios with and without ID errors • Individual and Group Differences: compare process differences across individuals and groups (e.g. role-type, whether an individual caught the verify patient ID error)