Intelligent Teletriage and Personalized Routing to Manage Patient Access in a Neurosurgery Clinic

Author:

Kilinc Derya1,Gel Esma S.2ORCID,Demirtas Aysegul2

Affiliation:

1. Department of Health Sciences Research, Mayo Clinic, Rochester, MN;

2. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Reference27 articles.

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2.  N. Afzal, V. P. Mallipeddi, S. Sohn, H. Liu, R. Chaudhry, C. G. Scott, I. J. Kullo, and A. M. Arruda-Olson. Natural language processing of clinical notes for identification of critical limb ischemia. International journal of medical informatics, 111:83–89, 2018.

3.  K. Amirdelfan, P. McRoberts, and T. R. Deer. The differential diagnosis of low back pain: a primer on the evolving paradigm. Neuromodulation: Technology at the Neural Interface, 17:11–17, 2014.

4.  W. Boag, D. Doss, T. Naumann, and P. Szolovits. What’s in a note? unpacking predictive value in clinical note representations. AMIA Summits on Translational Science Proceedings, 2018:26, 2018.

5.  L. M. Boden, S. A. Boden, A. Premkumar, M. B. Gottschalk, and S. D. Boden. Predicting likelihood of surgery before first visit in patients with back and lower extremity symptoms: A simple mathematical model based on more than 8,000 patients. Spine, 43(18):1296–1305, 2018.

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