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Browsing by Author "Ellsperman, Susan E."
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Item Comparison of Automated Posttonsillectomy Bleed Capture With Self-report(American Medical Association, 2017-08-01) Phillips, D. Ryan; Ellsperman, Susan E.; Matt, Bruce H.; Zarzaur, Ben L.; Otolaryngology -- Head and Neck Surgery, School of MedicineImportance: Tonsillectomy is one of the most common procedures performed by otolaryngologists and is associated with postoperative bleeding. Bleed rates are usually monitored by self-report. Objective: To evaluate whether using automated capture and reporting of pediatric posttonsillectomy bleeding is feasible and accurate compared with traditional self-reporting by the surgical team. Design, Setting, and Participants: An automated complication-reporting algorithm was designed to query the local health information exchange and then tested against self-reported tonsillectomy complication data collected from January 1, 2014, through December 31, 2015, at a tertiary pediatric hospital. The algorithm identified patients undergoing tonsillectomy and searched their postoperative encounters for a hand-selected set of diagnosis codes from the International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision and free-text words to identify complication events. Five months of the 2014-2015 data set were used to help design the algorithm. Data from the remaining 19 months were compared with self-reported complications. Main Outcomes and Measures: Automated system findings compared with self-reported bleeding events. Results: During the 19-month period, 1017 tonsillectomies were performed. We compared the algorithm's effectiveness in finding tonsillectomy and adenotonsillectomy procedures for the evaluated surgeons with the hand-reviewed master tonsillectomy list. The algorithm reported 51 false-positive (5.01% missed) and 74 false-negative (7.28% misidentified) procedures. The algorithm agreed with self-report for 986 tonsillectomies and disagreed on 31 cases (3.05%) (κ = 0.69; 95% CI, 0.66-0.73). The algorithm was found to be sensitive to correctly identifying 60.53% (95% CI, 48.63%-71.34%) of tonsillectomies as having bleeding complications, with a specificity of 98.30% (95% CI, 97.19%-98.99%). Conclusions and Relevance: Capture of posttonsillectomy bleeding is possible through an automatic search of the medical record, although the algorithm will require continued refinement. Leveraging health information exchange data increases the possibilities of capturing complications at hospitals outside the local health system. Use of these algorithms will allow repeatable automated feedback to be provided to surgeons on a cyclical basis.Item Three-Dimensional Printing and Its Applications in Otorhinolaryngology–Head and Neck Surgery(Sage, 2017-06) Crafts, Trevor D.; Ellsperman, Susan E.; Wannemuehler, Todd J.; Bellicchi, Travis D.; Shipchandler, Taha Z.; Mantravadi, Avinash V.; Otolaryngology -- Head and Neck Surgery, School of MedicineObjective Three-dimensional (3D)-printing technology is being employed in a variety of medical and surgical specialties to improve patient care and advance resident physician training. As the costs of implementing 3D printing have declined, the use of this technology has expanded, especially within surgical specialties. This article explores the types of 3D printing available, highlights the benefits and drawbacks of each methodology, provides examples of how 3D printing has been applied within the field of otolaryngology–head and neck surgery, discusses future innovations, and explores the financial impact of these advances. Data Sources Articles were identified from PubMed and Ovid MEDLINE. Review Methods PubMed and Ovid Medline were queried for English articles published between 2011 and 2016, including a few articles prior to this time as relevant examples. Search terms included 3-dimensional printing, 3D printing, otolaryngology, additive manufacturing, craniofacial, reconstruction, temporal bone, airway, sinus, cost, and anatomic models. Conclusions Three-dimensional printing has been used in recent years in otolaryngology for preoperative planning, education, prostheses, grafting, and reconstruction. Emerging technologies include the printing of tissue scaffolds for the auricle and nose, more realistic training models, and personalized implantable medical devices. Implications for Practice After the up-front costs of 3D printing are accounted for, its utilization in surgical models, patient-specific implants, and custom instruments can reduce operating room time and thus decrease costs. Educational and training models provide an opportunity to better visualize anomalies, practice surgical technique, predict problems that might arise, and improve quality by reducing mistakes.