Andrew J Beech, M.D., DMD

Roles

• Biography

  + –
  Dr. Beech writes: My name is Andrew Beech. I am originally from Cleveland, Ohio. I completed dental school at Case Western Reserve University, followed by medical school and residency training in Oral and Maxillofacial Surgery at the University of Michigan. Subsequently, I completed a fellowship in Head and Neck Oncology and Microvascular Reconstruction at University of Michigan. After training, I spent two year at Jefferson Health in Philadelphia treating patient with head and neck cancer, prior to moving to South Florida. My clinical interest are head and neck oncology, local regional and microvascular reconstruction, traumatology, management of MRONJ/ORN, dental alveolar surgery and implantology.

• Education & Training

  + –

  Education

  2029: University of Michigan, Ann Arbor, Michigan

  MD, Medicine

  2013: Case Western Reserve, Cleveland, Ohio

  Other, Dentistry

  Licensures and Certifications

  American Board of Oral and Maxilofacial Surgery

  Board Certification

• Teaching Interests

  + –
  As I progressed through my residency and fellowship training, I began to pick up on teaching methods that I found effective in solidifying concepts and improving communication with trainees. I have employed the preoperative briefing and postoperative debriefing educational model as I feel it allows the learner to have clearly identifiable learning objectives before a case and facilitates guided learning. The learner is able to think about the indications for the operation, the approach to the operation and pertinent anatomy, along with allowing for a chance for questions/ debriefing. Specifically for resident teaching, the Zwisch model has proven to be an effective and safe way of training and assess residents’ comfort with the technical components of an operation.

• Research Interests

  + –
  My interests encompass oral cavity cancer, MRONJ, ORN and microvascular reconstruction of the head and neck .

• Publications

  + –
  Disclaimer: The information presented in this section has been consolidated using AI and machine learning technologies. While every effort has been made to ensure accuracy, errors may occur. If you identify any inaccuracies, please use this link to inform our data team. Your feedback is greatly appreciated and helps us improve the quality of our content.