Cultural evolution: a Darwinian perspective on patient safety in neurosurgery

Restricted access

If the inline PDF is not rendering correctly, you can download the PDF file here.

Article Information

Contributor Notes

Correspondence Mitchel Berger: mitchel.berger@ucsf.edu.INCLUDE WHEN CITING Published online September 13, 2019; DOI: 10.3171/2019.6.JNS191517.Disclosures The authors report no conflict of interest.
Headings
References
  • 1

    Ames CPSmith JSPellisé FKelly MAlanay AAcaroğlu E: Artificial intelligence based hierarchical clustering of patient types and intervention categories in adult spinal deformity surgery: towards a new classification scheme that predicts quality and value. Spine (Phila Pa 1976) 44:9159262019

    • Search Google Scholar
    • Export Citation
  • 2

    Asher ALMcCormick PCSelden NRGhogawala ZMcGirt MJ: The National Neurosurgery Quality and Outcomes Database and NeuroPoint Alliance: rationale, development, and implementation. Neurosurg Focus 34(1):E22013

    • Search Google Scholar
    • Export Citation
  • 3

    Azimi PMohammadi HRBenzel ECShahzadi SAzhari SMontazeri A: Artificial neural networks in neurosurgery. J Neurol Neurosurg Psychiatry 86:2512562015

    • Search Google Scholar
    • Export Citation
  • 4

    Babu RThomas SHazzard MAFriedman AHSampson JHAdamson C: Worse outcomes for patients undergoing brain tumor and cerebrovascular procedures following the ACGME resident duty-hour restrictions. J Neurosurg 121:2622762014

    • Search Google Scholar
    • Export Citation
  • 5

    Balogun JABramall ANBernstein M: How surgical trainees handle catastrophic errors: a qualitative study. J Surg Educ 72:117911842015

    • Search Google Scholar
    • Export Citation
  • 6

    Beaumont TLMohammadi AMKim AHBarnett GHLeuthardt EC: Magnetic resonance imaging-guided laser interstitial thermal therapy for glioblastoma of the corpus callosum. Neurosurgery 83:5565652018

    • Search Google Scholar
    • Export Citation
  • 7

    Berger MSWachter RMGreysen SRLau CY: Changing our culture to advance patient safety: the 2013 AANS Presidential Address. J Neurosurg 119:135913692013

    • Search Google Scholar
    • Export Citation
  • 8

    Bina RWLemole GM JrDumont TM: On resident duty hour restrictions and neurosurgical training: review of the literature. J Neurosurg 124:8428482016

    • Search Google Scholar
    • Export Citation
  • 9

    Bohm PEArnold PM: Simulation and resident education in spinal neurosurgery. Surg Neurol Int 6:332015

  • 10

    Candela SVanegas MIDarling AOrtigoza-Escobar JDAlamar MMuchart J: Frameless robot-assisted pallidal deep brain stimulation surgery in pediatric patients with movement disorders: precision and short-term clinical results. J Neurosurg Pediatr 22:4164252018

    • Search Google Scholar
    • Export Citation
  • 11

    Capper DJones DTWSill MHovestadt VSchrimpf DSturm D: DNA methylation-based classification of central nervous system tumours. Nature 555:4694742018

    • Search Google Scholar
    • Export Citation
  • 12

    Chang JWPark CKLipsman NSchwartz MLGhanouni PHenderson JM: A prospective trial of magnetic resonance-guided focused ultrasound thalamotomy for essential tremor: results at the 2-year follow-up. Ann Neurol 83:1071142018

    • Search Google Scholar
    • Export Citation
  • 13

    Cobourn KFayed IKeating RFOluigbo CO: Early outcomes of stereoelectroencephalography followed by MR-guided laser interstitial thermal therapy: a paradigm for minimally invasive epilepsy surgery. Neurosurg Focus 45(3):E82018

    • Search Google Scholar
    • Export Citation
  • 14

    Conforti LNYaghmour NAHamstra SJHolmboe ESKennedy BLiu JJ: The effect and use of milestones in the assessment of neurological surgery residents and residency programs. J Surg Educ 75:1471552018

    • Search Google Scholar
    • Export Citation
  • 15

    Cowan JA JrDimick JBLeveque JCThompson BGUpchurch GR JrHoff JT: The impact of provider volume on mortality after intracranial tumor resection. Neurosurgery 52:48542003

    • Search Google Scholar
    • Export Citation
  • 16

    Cox MLevin DCParker LRao VM: Relative roles of radiologists and other physicians in percutaneous endovascular neurointerventions. J Am Coll Radiol 12:103010352015

    • Search Google Scholar
    • Export Citation
  • 17

    Curry WTMcDermott MWCarter BSBarker FG II: Craniotomy for meningioma in the United States between 1988 and 2000: decreasing rate of mortality and the effect of provider caseload. J Neurosurg 102:9779862005

    • Search Google Scholar
    • Export Citation
  • 18

    Cushing H: The special field of neurological surgery. Bulletin of the Johns Hopkins Hospital 16:77-871905. Neurosurgery 57:1075 2005

  • 19

    De Benedictis ATrezza ACarai AGenovese EProcaccini EMessina R: Robot-assisted procedures in pediatric neurosurgery. Neurosurg Focus 42(5):E72017

    • Search Google Scholar
    • Export Citation
  • 20

    de Vries ENPrins HACrolla RMden Outer AJvan Andel Gvan Helden SH: Effect of a comprehensive surgical safety system on patient outcomes. N Engl J Med 363:192819372010

    • Search Google Scholar
    • Export Citation
  • 21

    Eddleman CSAoun SGBatjer HH: Are knowledge gaps an expected result of the current culture of neurosurgical resident training? World Neurosurg 81:2472492014

    • Search Google Scholar
    • Export Citation
  • 22

    Elias WJLipsman NOndo WGGhanouni PKim YGLee W: A randomized trial of focused ultrasound thalamotomy for essential tremor. N Engl J Med 375:7307392016

    • Search Google Scholar
    • Export Citation
  • 23

    Elmi-Terander ASkulason HSöderman MRacadio JHoman RBabic D: Surgical navigation technology based on augmented reality and integrated 3D intraoperative imaging: a spine cadaveric feasibility and accuracy study. Spine (Phila Pa 1976) 41:E1303E13112016

    • Search Google Scholar
    • Export Citation
  • 24

    Fargen KMFriedman WA: The science of medical decision making: neurosurgery, errors, and personal cognitive strategies for improving quality of care. World Neurosurg 82:e21e292014

    • Search Google Scholar
    • Export Citation
  • 25

    Flanigan PMJahangiri AGolubovsky JLKarnuta JMMay FJBerger MS: A cross-sectional study of neurosurgical department chairs in the United States. J Neurosurg 129:134213482018

    • Search Google Scholar
    • Export Citation
  • 26

    Ghogawala ZDunbar MEssa I: Artificial intelligence for the treatment of lumbar spondylolisthesis. Neurosurg Clin N Am 30:3833892019

    • Search Google Scholar
    • Export Citation
  • 27

    Gruppen LFrank JRLockyer JRoss SBould MDHarris P: Toward a research agenda for competency-based medical education. Med Teach 39:6236302017

    • Search Google Scholar
    • Export Citation
  • 28

    Gupta RMoore JMAdeeb NGriessenauer CJSchneider AMGandhi CD: Neurosurgical resident error: a survey of U.S. neurosurgery residency training program directors’ perceptions. World Neurosurg 109:e563e5702018

    • Search Google Scholar
    • Export Citation
  • 29

    Hale ATStonko DPLim JGuillamondegui ODShannon CNPatel MB: Using an artificial neural network to predict traumatic brain injury. J Neurosurg Pediatr 23:2192262018

    • Search Google Scholar
    • Export Citation
  • 30

    Hale ATStonko DPWang LStrother MKChambless LB: Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging. Neurosurg Focus 45(5):E42018

    • Search Google Scholar
    • Export Citation
  • 31

    Hannan ELPopp AJTranmer BFuestel PWaldman JShah D: Relationship between provider volume and mortality for carotid endarterectomies in New York state. Stroke 29:229222971998

    • Search Google Scholar
    • Export Citation
  • 32

    Haynes ABWeiser TGBerry WRLipsitz SRBreizat AHDellinger EP: A surgical safety checklist to reduce morbidity and mortality in a global population. N Engl J Med 360:4914992009

    • Search Google Scholar
    • Export Citation
  • 33

    He JBaxter SLXu JXu JZhou XZhang K: The practical implementation of artificial intelligence technologies in medicine. Nat Med 25:30362019

    • Search Google Scholar
    • Export Citation
  • 34

    Hijji FYNarain ASHaws BEWitiw CDKudaravalli KTYom KH: Variation in spine surgeon selection criteria between neurosurgery and orthopedic surgery patients. Clin Spine Surg 31:E127E1322018

    • Search Google Scholar
    • Export Citation
  • 35

    Ho ALMuftuoglu YPendharkar AVSussman ESPorter BEHalpern CH: Robot-guided pediatric stereoelectroencephalography: single-institution experience. J Neurosurg Pediatr 22:182018

    • Search Google Scholar
    • Export Citation
  • 36

    Hoffman JC JrCox GWFleischer AS: Interventional neuroradiology: a joint effort of the neuroradiologist and neurosurgeon in the treatment of vascular lesions of the head and neck. Surg Neurol 10:2472531978

    • Search Google Scholar
    • Export Citation
  • 37

    Jung JJJüni PLebovic GGrantcharov T: First-year analysis of the operating room black box study. Ann Surg [epub ahead of print] 2018

    • Search Google Scholar
    • Export Citation
  • 38

    Kamath AAFriedman DDAkbari SHAKim AHTao YLuo J: Glioblastoma treated with magnetic resonance imaging-guided laser interstitial thermal therapy: safety, efficacy, and outcomes. Neurosurgery 84:8368432019

    • Search Google Scholar
    • Export Citation
  • 39

    Konakondla SFong RSchirmer CM: Simulation training in neurosurgery: advances in education and practice. Adv Med Educ Pract 8:4654732017

    • Search Google Scholar
    • Export Citation
  • 40

    Lau CYGreysen SRMistry RIHan SJMummaneni PVBerger MS: Creating a culture of safety within operative neurosurgery: the design and implementation of a perioperative safety video. Neurosurg Focus 33(5):E32012

    • Search Google Scholar
    • Export Citation
  • 41

    Laurent DOliveria SFShang MBova FFreedman RRahman M: Techniques to ensure accurate targeting for delivery of awake laser interstitial thermotherapy. Oper Neurosurg (Hagerstown) 15:4544602018

    • Search Google Scholar
    • Export Citation
  • 42

    Lipsman NKhan OKulkarni AV: “The Actualized Neurosurgeon”: A proposed model of surgical resident development. World Neurosurg 99:3813862017

    • Search Google Scholar
    • Export Citation
  • 43

    Lipsman NMeng YBethune AJHuang YLam BMasellis M: Blood-brain barrier opening in Alzheimer’s disease using MR-guided focused ultrasound. Nat Commun 9:23362018

    • Search Google Scholar
    • Export Citation
  • 44

    Lipsman NSchwartz MLHuang YLee LSankar TChapman M: MR-guided focused ultrasound thalamotomy for essential tremor: a proof-of-concept study. Lancet Neurol 12:4624682013

    • Search Google Scholar
    • Export Citation
  • 45

    Lobato RDJiménez Roldan LAlen JFCastaño AMMunarriz PMCepeda S: [Competency-based neurosurgery residency programme.] Neurocirugia (Astur) 27:75862016 (Spanish)

    • Search Google Scholar
    • Export Citation
  • 46

    Lynch GNieto KPuthenveettil SReyes MJureller MHuang JH: Attrition rates in neurosurgery residency: analysis of 1361 consecutive residents matched from 1990 to 1999. J Neurosurg 122:2402492015

    • Search Google Scholar
    • Export Citation
  • 47

    Magill STWang DDRutledge WCLau DBerger MSSankaran S: Changing operating room culture: implementation of a postoperative debrief and improved safety culture. World Neurosurg 107:5976032017

    • Search Google Scholar
    • Export Citation
  • 48

    Maldaun MVKhawja SNLevine NBRao GLang FFWeinberg JS: Awake craniotomy for gliomas in a high-field intraoperative magnetic resonance imaging suite: analysis of 42 cases. J Neurosurg 121:8108172014

    • Search Google Scholar
    • Export Citation
  • 49

    McGirt MJSperoff TDittus RSHarrell FE JrAsher AL: The National Neurosurgery Quality and Outcomes Database (N2QOD): general overview and pilot-year project description. Neurosurg Focus 34(1):E62013

    • Search Google Scholar
    • Export Citation
  • 50

    Meng YSuppiah SSurendrakumar SBigioni LLipsman N: Low-intensity MR-guided focused ultrasound mediated disruption of the blood-brain barrier for intracranial metastatic diseases. Front Oncol 8:3382018

    • Search Google Scholar
    • Export Citation
  • 51

    Meola ACutolo FCarbone MCagnazzo FFerrari MFerrari V: Augmented reality in neurosurgery: a systematic review. Neurosurg Rev 40:5375482017

    • Search Google Scholar
    • Export Citation
  • 52

    Mundschenk MBOdom EBGhosh TDKleiber GMYee APatel KB: Are residents prepared for surgical cases? Implications in patient safety and education. J Surg Educ 75:4034082018

    • Search Google Scholar
    • Export Citation
  • 53

    Ohka FYamamichi AKurimoto MMotomura KTanahashi KSuzuki H: A novel all-in-one intraoperative genotyping system for IDH1-mutant glioma. Brain Tumor Pathol 34:91972017

    • Search Google Scholar
    • Export Citation
  • 54

    Peschillo SDelfini R: Endovascular neurosurgery in Europe and in Italy: what is in the future? World Neurosurg 77:2482512012

  • 55

    Poulen GGozé CRigau VDuffau H: Huge heterogeneity in survival in a subset of adult patients with resected, wild-type isocitrate dehydrogenase status, WHO grade II astrocytomas. J Neurosurg 130:128912982019

    • Search Google Scholar
    • Export Citation
  • 56

    Reason J: Human error: models and management. BMJ 320:7687702000

  • 57

    Richardson WCBerwick DMBisgard JCBristow LRBuck CRCassel CK: The Institute of Medicine Report on Medical Errors: misunderstanding can do harm. MedGenMed 2:E422000

    • Search Google Scholar
    • Export Citation
  • 58

    Rolston JDZygourakis CCHan SJLau CYBerger MSParsa AT: Medical errors in neurosurgery. Surg Neurol Int 5 (Suppl 10):S435S4402014

    • Search Google Scholar
    • Export Citation
  • 59

    Samuel NPhilteos JAlotaibi NMAhuja CMansouri AKulkarni AV: Canadian neurosurgery educators’ views on stereotactic radiosurgery in residency training. World Neurosurg 112:e208e2152018

    • Search Google Scholar
    • Export Citation
  • 60

    Sanai NBerger MS: Surgical oncology for gliomas: the state of the art. Nat Rev Clin Oncol 15:1121252018

  • 61

    Selden NRAnderson VCMcCartney SOrigitano TCBurchiel KJBarbaro NM: Society of Neurological Surgeons boot camp courses: knowledge retention and relevance of hands-on learning after 6 months of postgraduate year 1 training. J Neurosurg 119:7968022013

    • Search Google Scholar
    • Export Citation
  • 62

    Senders JTArnaout OKarhade AVDasenbrock HHGormley WBBroekman ML: Natural and artificial intelligence in neurosurgery: a systematic review. Neurosurgery 83:1811922018

    • Search Google Scholar
    • Export Citation
  • 63

    Shakir HJMcPheeters MJShallwani HPittari JEReynolds RM: The prevalence of burnout among US neurosurgery residents. Neurosurgery 83:5825902018

    • Search Google Scholar
    • Export Citation
  • 64

    Shankar GMKirtane ARMiller JJMazdiyasni HRogner JTai T: Genotype-targeted local therapy of glioma. Proc Natl Acad Sci U S A 115:E8388E83942018

    • Search Google Scholar
    • Export Citation
  • 65

    Sheehan JStarke RMPouratian NLitvack ZAsthagiri A: Identification of knowledge gaps in neurosurgery through analysis of responses to the Self-Assessment in Neurological Surgery (SANS). World Neurosurg 81:2292332014

    • Search Google Scholar
    • Export Citation
  • 66

    Spyrantis ACattani AStrzelczyk ARosenow FSeifert VFreiman TM: Robot-guided stereoelectroencephalography without a computed tomography scan for referencing: analysis of accuracy. Int J Med Robot 14:142018

    • Search Google Scholar
    • Export Citation
  • 67

    Starke RMMcCarthy DKomotar RJConnolly ES: Artificial intelligence mediated neuroradiology. Neurosurgery 84:E136E1372019

  • 68

    Strozyk DHanft SJKellner CPMeyers PMLavine SD: Training in endovascular surgical neuroradiology. World Neurosurg 74:28312010

    • Search Google Scholar
    • Export Citation
  • 69

    Tagaytayan RKelemen ASik-Lanyi C: Augmented reality in neurosurgery. Arch Med Sci 14:5725782018

  • 70

    Terander AEBurstrom GNachabe RSkulason HPedersen KFagerlund M: Pedicle screw placement using augmented reality surgical navigation with intraoperative 3D imaging: a first in-human prospective cohort study. Spine (Phila Pa 1976) 44:5175252019

    • Search Google Scholar
    • Export Citation
  • 71

    Touchie Cten Cate O: The promise, perils, problems and progress of competency-based medical education. Med Educ 50:931002016

  • 72

    van Niftrik CHBvan der Wouden FStaartjes VEFierstra JStienen MNAkeret K: Machine learning algorithm identifies patients at high risk for early complications after intracranial tumor surgery: registry-based cohort study. Neurosurgery [epub ahead of print] 2019

    • Search Google Scholar
    • Export Citation
  • 73

    Watad ABragazzi NLBacigaluppi SAmital HWatad SSharif K: Artificial neural networks can be effectively used to model changes of intracranial pressure (ICP) during spinal surgery using different non invasive ICP surrogate estimators. J Neurosurg Sci [epub ahead of print] 2018

    • Search Google Scholar
    • Export Citation
  • 74

    Wong JMBader AMLaws ERPopp AJGawande AA: Patterns in neurosurgical adverse events and proposed strategies for reduction. Neurosurg Focus 33(5):E12012

    • Search Google Scholar
    • Export Citation
TrendMD
Metrics

Metrics

All Time Past Year Past 30 Days
Abstract Views 10 10 10
Full Text Views 4 4 4
PDF Downloads 10 10 10
EPUB Downloads 0 0 0
PubMed
Google Scholar