David F. Schneider, MD, MS, FACS
- Division of Endocrine Surgery
- Administrative Assistant: (608) 263-1387
600 Highland Ave
Madison, WI 53792-3284
- MD, Loyola Stritch School of Medicine, Chicago, IL, 2004
- Research Fellowship in Burn & Shock Trauma, Loyola Medical Center, Chicago, IL, 2008
- MS in Clinical Research Methods, Department of Preventive Medicine & Epidemiology, Loyola Stritch School of Medicine, 2010
- General Surgery Residency, Loyola Medical Center, Chicago, IL, 2011
- Fellowship in Endocrine Surgery, University of Wisconsin School of Medicine and Public Health, 2013
Dr. Schneider holds dual board certification in Surgery and Clinical Informatics, and he is a member of multiple specialty societies including the American Association of Endocrine Surgeons, the American Thyroid Association, the American Medical Informatics Association. He specializes in Endocrine Surgery, treating diseases of the thyroid, parathyroid, and adrenal glands. He utilizes several state of the art techniques to treat endocrine disorders (radioguided parathyroidectomy, minimally invasive parathyroidectomy, laparoscopic adrenalectomy, retroperitoneal adrenalectomy, minimally invasive thyroidectomy, four-gland parathyroid exploration, and treatment of recurrent or persistent hyperparathyroidism).
Dr. Schneider provides a wide range of services including Adrenal Surgery, Central Neck Dissection, Endocrine Surgery, Fine Needle Aspiration (FNA), Laparoscopic Adrenalectomy, Minimally Invasive Parathyroidectomy, Minimally Invasive Radioguided Parathyroidectomy (MIRP), Modified Radical Neck Dissection, Neck Ultrasound, Open Adrenalectomy, Parathyroid Surgery, Resection Of Substernal Goiter, Retroperitoneoscopic Adrenalectomy, Subtotal Parathyroidectomy, Thyroidectomy, Thyroid Lobectomy, Thyroid Surgery, Total Thyroidectomy, Four-gland parathyroid evaluation, Parathyroid Autotransplant.
Dr. Schneider conducts outcomes research in conjunction with the Wisconsin Surgical Outcomes Program. His research program investigates the optimization of Endocrine Surgical care in the United States with a particular interest in using informatics tools to improve decision-making. This work utilizes electronic health record data, machine learning (artificial intelligence) and natural language processing to facilitate better more efficient care for parathyroid and thyroid diseases. He also conducts clinical research working on hyperparathyroidism, thyroid cancer, Graves’ Disease, and adrenal disorders.
Dr. Schneider is a member of UW Health’s Physician Informatics Team and co-leader of the Clinical Informatics Community of Practice.
Ambiguous and Incomplete: Natural Language Processing Reveals Problematic Reporting Styles in Thyroid Ultrasound Reports.
Dedhia PH, Chen K, Song Y, LaRose E, Imbus JR, Peissig PL, Mendonca EA, Schneider DF
Methods Inf Med 2022 Jan 06;
[PubMed ID: 34991173]
Evaluating Discrimination of ACS-NSQIP Surgical Risk Calculator in Thyroidectomy Patients.
Hsiao V, Elfenbein DM, Pitt SC, Long KL, Sippel RS, Schneider DF
J Surg Res 2021 Dec 09; 271: 137-144
[PubMed ID: 34896939]
Risk Stratifying Indeterminate Thyroid Nodules With Machine Learning.
Luong G, Idarraga AJ, Hsiao V, Schneider DF
J Surg Res 2022 Feb; 270: 214-220
[PubMed ID: 34706298]
False Negative Rates in Benign Thyroid Nodule Diagnosis: Machine Learning for Detecting Malignancy.
Idarraga AJ, Luong G, Hsiao V, Schneider DF
J Surg Res 2021 Dec; 268: 562-569
[PubMed ID: 34464894]
Disparities in Telemedicine Access: A Cross-Sectional Study of a Newly Established Infrastructure during the COVID-19 Pandemic.
Hsiao V, Chandereng T, Lankton RL, Huebner JA, Baltus JJ, Flood GE, Dean SM, Tevaarwerk AJ, Schneider DF
Appl Clin Inform 2021 05; 12(3): 445-458
[PubMed ID: 34107542]