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Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence.
Maheshwari, Kamal; Cywinski, Jacek B; Papay, Frank; Khanna, Ashish K; Mathur, Piyush.
Afiliação
  • Maheshwari K; From the Departments of General Anesthesiology.
  • Cywinski JB; From the Departments of General Anesthesiology.
  • Papay F; Outcomes Research.
  • Khanna AK; Surgery, Cleveland Clinic, Cleveland, Ohio.
  • Mathur P; Department of Anesthesiology, Section on Critical Care Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Anesth Analg ; 136(4): 637-645, 2023 04 01.
Article em En | MEDLINE | ID: mdl-35203086
ABSTRACT
The anesthesiologist's role has expanded beyond the operating room, and anesthesiologist-led care teams can deliver coordinated care that spans the entire surgical experience, from preoperative optimization to long-term recovery of surgical patients. This expanded role can help reduce postoperative morbidity and mortality, which are regrettably common, unlike rare intraoperative mortality. Postoperative mortality, if considered a disease category, will be the third leading cause of death just after heart disease and cancer. Rapid advances in technologies like artificial intelligence provide an opportunity to build safe perioperative practices. Artificial intelligence helps by analyzing complex data across disparate systems and producing actionable information. Using artificial intelligence technologies, we can critically examine every aspect of perioperative medicine and devise innovative value-based solutions that can potentially improve patient safety and care delivery, while optimizing cost of care. In this narrative review, we discuss specific applications of artificial intelligence that may help advance all aspects of perioperative medicine, including clinical care, education, quality improvement, and research. We also discuss potential limitations of technology and provide our recommendations for successful adoption.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Perioperatória / Neoplasias Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Perioperatória / Neoplasias Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article