Abstract BACKGROUND Pituitary adenomas are benign neoplasms which can have a profound impact on quality of life. In-situ assessments of patient quality of life with pituitary adenomas and recovery from surgery are limited; existing patient reported outcome measures are, moreover, biased by patient recollection. Smartphone-based digital phenotyping may provide a means of monitoring patient recovery and quality of life at a more granular and accurate level. MATERIALS AND METHODS Patients with pituitary adenomas were enrolled during preoperative clinic visits. Included patients installed the Beiwe application, which passively collected GPS data during patient follow-up. Dates of significant clinical events were recorded to assess how they affected mobility. Using a LOESS regression line, aggregate trends amongst patients who underwent transsphenoidal resection were established and compared to baseline values from preoperative patients awaiting surgery and non-operative controls. RESULTS As part of a still ongoing study, 35 Patients with pituitary adenomas were enrolled between October 2022 and February 2023. Of these, 13 underwent transsphenoidal resection, the remaining 22 patients were either waiting for surgery and/or served as non-operative controls. Patients undergoing transsphenoidal resection of pituitary adenomas spent more time at home, spent less time walking, walked fewer steps and traveled shorter distances away from home compared following surgery compared to baseline preoperative data and non-operative controls. CONCLUSION The authors were able to generate initial digital phenotypes for a cohort of pituitary patients based on passively collected smartphone GPS data; the authors also hope that these initial data may help in the establishment of an in-situ tool to monitor recovery following surgery for pituitary adenoma. It is the authors’ contention that such preoperative mobility metrics may be further utilized to predict postoperative outcomes following surgery which has been demonstrated in the general surgery setting. In the case of pituitary disease, these include postoperative CSF leak, infection, dysnatremia and hospital length of stay.