We're studying how ambulatory and small clinic teams handle referral coordination end to end. This includes how staff pull referral details from clinical notes, how prior authorizations get initiated and tracked, and how scheduling gets coordinated with outside specialists. The goal is to capture real-world workflow knowledge that can be used to train an AI model on healthcare admin tasks. Inpatient workflows, bed management, and revenue cycle management are out of scope for this round.
This is part of an AI training project. You'll walk through your clinic's referral process from start to finish, describing how you identify and extract referral information from notes, how you manage prior authorization steps, and what challenges come up when scheduling with specialists outside your practice. Your input helps train the model on realistic outpatient referral workflows.
This is for healthcare admin professionals with hands-on experience in ambulatory or small clinic settings, particularly those who handle referral coordination, prior authorization, or specialist scheduling as part of their day-to-day work. No inpatient, bed management, or RCM experience is needed for this project.