David F. Schneider, MD, MS, FACS

Associate Professor

  • Division of Endocrine Surgery

schneiderd@surgery.wisc.edu
(608) 263-1387

  • Administrative Assistant: (608) 263-1387

600 Highland Ave
Madison, WI 53792-3284

Education

  • 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

Clinical Specialties

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.

Research Interests

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.

Dr. Schneider’s lab webpages.

Recent Publications

  • A comparison of NSQIP and CESQIP in data quality and ability to predict thyroidectomy outcomes.
    Hsiao V, Kazaure HS, Drake FT, Inabnet WB, Rosen JE, Davenport D, Schneider DF
    Surgery 2022 Nov 16;
    [PubMed ID: 36402607]

  • Optimized Replacement T4 and T4+T3 Dosing in Male and Female Hypothyroid Patients With Different BMIs Using a Personalized Mechanistic Model of Thyroid Hormone Regulation Dynamics.
    Cruz-Loya M, Chu BB, Jonklaas J, Schneider DF, DiStefano J
    Front Endocrinol (Lausanne) 2022; 13: 888429
    [PubMed ID: 35909562]

  • Discovering domains important to health-related quality of life in differentiated thyroid cancer.
    Hsiao V, Hanlon BM, Robbins SE, Connor NP, Macdonald CL, Sippel RS, Schneider DF
    Am J Surg 2022 Oct; 224(4): 1176-1178
    [PubMed ID: 35660082]

  • Corrigendum to The optimal dosing scheme for levothyroxine after thyroidectomy: A comprehensive comparison and evaluation [Surgery. 2019 Jan;165(1):92-98.].
    Zaborek NA, Cheng A, Imbus JR, Long KL, Pitt SC, Sippel RS, Schneider DF
    Surgery 2022 Jul; 172(1): 477
    [PubMed ID: 35483991]

  • 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 May; 61(1-02): 11-18
    [PubMed ID: 34991173]

All Publications on PubMed