Literature DB >> 16247058

Neurologic patient safety: an in-depth study of malpractice claims.

Thomas H Glick1, Lee D Cranberg, Robert B Hanscom, Luke Sato.   

Abstract

This in-depth study of neurologic malpractice claims indicated authentic, preventable patient harm in 24 of 42 cases, enabling comparison with larger but administratively abstracted summary reports. Principal findings included the common occurrence of outpatient events, lapses in communication with patients and other providers, the need for follow-through by the consultant neurologist even when not primarily responsible, the frequency of diagnostic errors, and pitfalls associated with imaging.

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Year:  2005        PMID: 16247058     DOI: 10.1212/01.wnl.0000180961.82198.0d

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  4 in total

Review 1.  Invited article: improving safety for the neurologic patient: evaluating medications, literacy, and abuse.

Authors:  A Depold Hohler; J Doyle Lee; E A Schulman; J A Schafer; C Flippen
Journal:  Neurology       Date:  2010-08-24       Impact factor: 9.910

2.  Inferring Clinical Correlations from EEG Reports with Deep Neural Learning.

Authors:  Travis R Goodwin; Sanda M Harabagiu
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

Review 3.  ED misdiagnosis of cerebrovascular events in the era of modern neuroimaging: A meta-analysis.

Authors:  Alexander Andrea Tarnutzer; Seung-Han Lee; Karen A Robinson; Zheyu Wang; Jonathan A Edlow; David E Newman-Toker
Journal:  Neurology       Date:  2017-03-29       Impact factor: 9.910

4.  Deep Learning from EEG Reports for Inferring Underspecified Information.

Authors:  Travis R Goodwin; Sanda M Harabagiu
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2017-07-26
  4 in total

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