Big Data in Surgery

Zhao J. Forsythe R. Langerman A. et al.

The value of the surgeon informatician.

J Surg Res. 252: 264-271

Evaluating the AMIA-OHSU 10x10 program to train healthcare professionals in medical informatics.

AMIA Annu Symp Proc. 2008: 182-186

Big promise and big challenges for big heath care data.

Bull Am Coll Surg. 100: 10-16Zhu V.Z. Tuggle C.T. Au A.F.

Promise and limitations of big data research in plastic surgery.

Ann Plast Surg. 76: 453-458Margolis R. Derr L. Dunn M. et al.

the national institutes of health's big data to knowledge (BD2K) initiative: capitalizing on biomedical big data.

J Am Med Inform Assoc. 21: 957-958

Data, data everywhere, and not a spot to think.

Colorectal Dis. 20: 953-954

Big data: a survey.

Mobile NetwAppl. 19: 171-209Lyu H.G. Haider A.H. Landman A.B. et al.

The opportunities and shortcomings of using big data and national databases for sarcoma research.

Cancer. 125: 2926-2934Panimalar A. Shree V. Kathrine V.

The 17 V’s of big data.

Int Res J Eng Technology. 4: 329-333Knight S.R. Ots R. Maimbo M. et al.

Systematic review of the use of big data to improve surgery in low- and middle-income countries.

Br J Surg. 106: e62-e72Balla A. Batista Rodriguez G. Corradetti S. et al.

Outcomes after bariatric surgery according to large databases: a systematic review.

Langenbecks Arch Surg. 402: 885-899Hong M.K. Skandarajah A.R. Hayes I.P.

Administrative data: what surgeons should know about big data.

ANZ J Surg. 87: 650-651Targarona E.M. Balla A. Batista G.

Big data and surgery: the digital revolution continues.

Cir Esp (Engl Ed. 96 (): 247-249de Geus S.W.L. Sachs T.E. Tseng J.F.

Big data vs. clinical trials in HPB surgery.

J Gastrointest Surg. 24: 1127-1137

Big Data-and its contributions to peri-operative medicine.

Anaesthesia. 69: 100-105Massie A.B. Kucirka L.M. Segev D.L.

Big data in organ transplantation: registries and administrative claims.

Am J Transpl. 14: 1723-1730Depypere B. Herregods S. Denolf J. et al.

20 years of DIEAP flap breast reconstruction: a big data analysis.

Sci Rep. 9: 12899

Big Data....

Small Conclusion Chest. 157: 1060-1061Nouraei S.A. Hudovsky A. Frampton A.E. et al.

A Study of clinical coding accuracy in surgery: implications for the use of administrative big data for outcomes management.

Ann Surg. 261: 1096-1107Bedard N.A. Pugely A.J. McHugh M.A. et al.

Big data and total hip arthroplasty: how do large databases compare?.

J Arthroplasty. 33: 41-45 e3Eisenstein S. Holubar S.D. Hilbert N. et al.

The ACS national surgical quality improvement program-inflammatory bowel disease collaborative: design, implementation, and validation of a disease-specific module.

Inflamm Bowel Dis. 25: 1731-1739Luo W.Y. Holubar S.D. Bordeianou L. et al.

Better characterization of operation for ulcerative colitis through the National surgical quality improvement program: A 2-year audit of NSQIP-IBD.

Am J Surg. 221: 174-182

Mortality and pulmonary complications in emergency general surgery patients with COVID-19: A large international multicenter study.

J Trauma Acute Care Surg. 93: 59-65

Outcomes and their state-level variation in patients undergoing surgery with perioperative SARS-CoV-2 infection in the USA: a prospective multicenter study.

Ann Surg. 275: 247-251Collaborative C.O. GlobalSurg C.

Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study.

Anaesthesia. 76: 748-758Collaborative C.O. GlobalSurg C.

Effects of pre-operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study.

Anaesthesia. 76: 1454-1464Cuenca A.G. Gentile L.F. Lopez M.C. et al.

Development of a genomic metric that can be rapidly used to predict clinical outcome in severely injured trauma patients.

Crit Care Med. 41: 1175-1185Maguire L.H. Geiger T.M. Hardiman K.M. et al.

Surgical management of primary colonic lymphoma: Big data for a rare problem.

J Surg Oncol. 120: 431-437Srinivas T.R. Taber D.J. Su Z. et al.

Big data, predictive analytics, and quality improvement in kidney transplantation: a proof of concept.

Am J Transpl. 17: 671-681El-Boghdadly K. Cook T.M. Goodacre T. et al.

Timing of elective surgery and risk assessment after SARS-CoV-2 infection: an update: A multidisciplinary consensus statement on behalf of the Association of Anaesthetists, Centre for Perioperative Care, Federation of Surgical Specialty Associations, Royal College of Anaesthetists, Royal College of Surgeons of England.

Anaesthesia. 77: 580-587Morales-Garcia D. Docobo-Durantez F. Capitan Vallvey J.M. et al.

Consensus of the ambulatory surgery commite section of the Spanish Association of Surgeons on the role of ambulatory surgery in the SARS-CoV-2 pandemic.

Cir Esp (Engl Ed. 100: 115-124Luo X. Mori K. Peters T.M.

advanced endoscopic navigation: surgical big data, methodology, and applications.

Annu Rev Biomed Eng. 20: 221-251Antonelli G. Gkolfakis P. Tziatzios G. et al.

Artificial intelligence-aided colonoscopy: Recent developments and future perspectives.

World J Gastroenterol. 26: 7436-7443Nepogodiev D. Covidsurg, GlobalSurg C

Timing of surgery following SARS-CoV-2 infection: country income analysis.

Anaesthesia. 77: 111-112

Teaching 'big data' analysis to young immunologists.

Nat Immunol. 16: 902-905Au-Yong-Oliveira M. Pesqueira A. Sousa M.J. et al.

the potential of big data research in healthcare for medical doctors' learning.

J Med Syst. 45: 13Syzdykova A. Malta A. Zolfo M. et al.

Open-source electronic health record systems for low-resource settings: systematic review.

JMIR Med Inform. 5: e44

Learning from the past to develop data analysis curricula for the future.

Plos Biol. 19: e3001343Mellia J.A. Basta M.N. Toyoda Y. et al.

natural language processing in surgery: a systematic review and meta-analysis.

Ann Surg. 273: 900-908Thirukumaran C.P. Zaman A. Rubery P.T. et al.

natural language processing for the identification of surgical site infections in orthopaedics.

J Bone Joint Surg Am. 101: 2167-2174Cobb A.N. Benjamin A.J. Huang E.S. et al.

Big data: More than big data sets.

Surgery. 164: 640-642Hashimoto D.A. Rosman G. Rus D. et al.

artificial intelligence in surgery: promises and perils.

Ann Surg. 268: 70-76Dhindsa K. Bhandari M. Sonnadara R.R.

What's holding up the big data revolution in healthcare?.

BMJ. 363: k5357

The inevitable application of big data to health care.

JAMA. 309: 1351-1352

Big Data--of the people, for the people, by the people.

Anaesthesia. 69: 513-514

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