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Browsing by Author "Miller, Donald"
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Item Is intraoperative MRI use in malignant brain tumor surgery a health care burden? A matched analysis of MarketScan Database(Springer, 2022-11) Sharma, Mayur; Wang, Dengzhi; Palmisciano, Paolo; Ugiliweneza, Beatrice; Woo, Shiao; Nelson, Megan; Miller, Donald; Savage, Jesse; Boakye, Maxwell; Andaluz, Norberto; Mistry, Akshitkumar M.; Chen, Clark C.; Williams , Brian J.; Neurological Surgery, School of MedicineBackground: Intraoperative magnetic resonance imaging (iMRI) is a useful adjunct for resection of primary malignant brain tumors (MBTs). The aim of our study is to investigate the impact of iMRI on health care utilization in patients who underwent craniotomy for resection of MBTs. Materials and methods: MarketScan database were queried using the ICD-9/10 and CPT 4th edition, from 2008 to 2020. We included patients ≥ 18 years of age who underwent a craniotomy with at-least one year follow-up. Outcomes were length of stay (LOS), discharge disposition, hospital/emergency room (ER) re-admissions, outpatient services, medication refills and corresponding payments. Results: Of 6,640 patients who underwent craniotomy for MBTs, 465 patients (7%) had iMRI used during the procedure with 0.7% per year increase in iMRI use during the study period. Patients without iMRI use had higher complications at index hospitalization compared to those with iMRI use (19% vs. 14%, p = 0.04). There was no difference in the ER admission rates among the patients who underwent surgery with and without iMRI use at 6-months and 1-year after the index procedure. In terms of post-discharge payments, no significant differences were noted among the patients without and with iMRI use at 6-months ($81,107 vs. $ 81,458, p = 0.26) and 1-year ($132,657 vs. $ 118,113, p = 0.12). Conclusion: iMRI use during craniotomy for MBT gradually increased during the study period. iMRI did not result in higher payments at index hospitalization, 6-months, and 1-year after the index procedure.Item Optimizing Perioperative Decision Making: Improved Information for Clinical Workflow Planning(2012-11) Doebbeling, Bradley N.; Burton, Matthew M.; Wiebke, Eric A.; Miller, Spencer; Baxter, Laurence; Miller, Donald; Alvarez, Jorge; Pekny, JosephPerioperative care is complex and involves multiple interconnected subsystems. Delayed starts, prolonged cases and overtime are common. Surgical procedures account for 40–70% of hospital revenues and 30–40% of total costs. Most planning and scheduling in healthcare is done without modern planning tools, which have potential for improving access by assisting in operations planning support. We identified key planning scenarios of interest to perioperative leaders, in order to examine the feasibility of applying combinatorial optimization software solving some of those planning issues in the operative setting. Perioperative leaders desire a broad range of tools for planning and assessing alternate solutions. Our modeled solutions generated feasible solutions that varied as expected, based on resource and policy assumptions and found better utilization of scarce resources. Combinatorial optimization modeling can effectively evaluate alternatives to support key decisions for planning clinical workflow and improving care efficiency and satisfaction.