Richard Taylor, MD, MHS
Research & Publications
Biography
News
Research Summary
Dr. Taylor’s chief interest is in applying data science to solve problems in emergency medicine. His lab is involved in a diverse set of projects including: using machine learning, particularly deep learning, for image recognition and predictive analytics; cluster analysis for novel group/phenotype discovery; decision theory for optimal therapeutic pathways; and EHR-driven, outcomes-based research. In addition, he has interests in the computational reproducibility of research and the gamification of the peer-review process.
Extensive Research Description
Richard Andrew Taylor M.D. is Assistant Professor of Emergency Medicine and Director of Clinical Informatics and Analytics. His work focuses on applying data science to various aspects of emergency care. Prior work has included developing high performance prediction algorithms for urinary tract infections, sepsis severity, and hospital admissions; cost-effective analyses for diagnostic imaging, and research in point-of-care ultrasound outcomes. He is currently the PI on several grants supporting the development of better learning systems in healthcare and is a co-investigator on a PCORTF grant creating better data infrastructure for opioid used disorder. He has methodologic expertise in machine learning, databases, and the secondary use of electronic health record (EHR) data for research.
Current areas of research:
Machine learning/Deep learning for predictive analytics– Emergency medicine is a unique and exciting field for the application of predictive analytics. Providers must make numerous decisions (admission/discharge; ordering tests, medications, etc.) in a chaotic environment within a compressed time-frame that can lead to a variety of cognitive errors. Our lab is focused on augmenting this decision process and lessening the cognitive burden of providers through integration of machine learning tools into clinical work-flows. To accomplish this task, we use a variety of methods including deep learning.
Data Mining/Unsupervised Learning– Adoption of EHRs has led to an explosion of secondary data available for research. We use of variety of data science tools to mine EHR emergency medicine data, find novel relationships, and gain better insight into care processes. Our current research is focused on finding low-dimensional representations of ED encounters and using cluster analysis for phenotype discovery.
Discovery of optimal pathways of care through the use of decision analysis– Our work in this area is primarily focused on establishing appropriate testing thresholds and cost-effective clinical pathways for emergency conditions including: aortic dissection, renal colic, trauma, and head injury.
EHR-driven, outcomes-based research– Current work in this area focuses on causal analysis of difficult to randomize interventions in emergency research using observational EHR data. For example, we are interested in examining the effect of point-of-care ultrasound on mortality and other patient-centered outcomes.
Coauthors
Research Interests
Database Management Systems; Decision Making, Computer-Assisted; Decision Theory; Medical Informatics; Neural Networks, Computer; Data Mining; Data Science
Public Health Interests
Health Care Quality, Efficiency
Selected Publications
- Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.Taylor RA, Pare JR, Venkatesh AK, Mowafi H, Melnick ER, Fleischman W, Hall MK. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2016, 23: 269-78. PMID: 26679719, PMCID: PMC5884101, DOI: 10.1111/acem.12876.
- Predicting urinary tract infections in the emergency department with machine learning.Taylor RA, Moore CL, Cheung KH, Brandt C. Predicting urinary tract infections in the emergency department with machine learning. PloS One 2018, 13: e0194085. PMID: 29513742, PMCID: PMC5841824, DOI: 10.1371/journal.pone.0194085.
- Comparative Effectiveness Research: Alternatives to "Traditional" Computed Tomography Use in the Acute Care Setting.Moore CL, Broder J, Gunn ML, Bhargavan-Chatfield M, Cody D, Cullison K, Daniels B, Gans B, Kennedy Hall M, Gaines BA, Goldman S, Heil J, Liu R, Marin JR, Melnick ER, Novelline RA, Pare J, Repplinger MD, Taylor RA, Sodickson AD. Comparative Effectiveness Research: Alternatives to "Traditional" Computed Tomography Use in the Acute Care Setting. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2015, 22: 1465-73. PMID: 26576033, DOI: 10.1111/acem.12831.
- Improving emergency physician performance using audit and feedback: a systematic review.Le Grand Rogers R, Narvaez Y, Venkatesh AK, Fleischman W, Hall MK, Taylor RA, Hersey D, Sette L, Melnick ER. Improving emergency physician performance using audit and feedback: a systematic review. The American Journal Of Emergency Medicine 2015, 33: 1505-14. PMID: 26296903, DOI: 10.1016/j.ajem.2015.07.039.
- The Prevalence and Characteristics of Emergency Medicine Patient Use of New Media.Post LA, Vaca FE, Biroscak BJ, Dziura J, Brandt C, Bernstein SL, Taylor R, Jagminas L, D'Onofrio G. The Prevalence and Characteristics of Emergency Medicine Patient Use of New Media. JMIR MHealth And UHealth 2015, 3: e72. PMID: 26156096, PMCID: PMC4526985, DOI: 10.2196/mhealth.4438.
- Redefining Overuse to Include Costs: A Decision Analysis for Computed Tomography in Minor Head Injury.Melnick ER, Keegan J, Taylor RA. Redefining Overuse to Include Costs: A Decision Analysis for Computed Tomography in Minor Head Injury. Joint Commission Journal On Quality And Patient Safety / Joint Commission Resources 2015, 41: 313-22. PMID: 26108124, DOI: 10.1016/s1553-7250(15)41041-4.
- The "5Es" of emergency physician-performed focused cardiac ultrasound: a protocol for rapid identification of effusion, ejection, equality, exit, and entrance.Kennedy Hall M, Coffey EC, Herbst M, Liu R, Pare JR, Andrew Taylor R, Thomas S, Moore CL. The "5Es" of emergency physician-performed focused cardiac ultrasound: a protocol for rapid identification of effusion, ejection, equality, exit, and entrance. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2015, 22: 583-93. PMID: 25903585, DOI: 10.1111/acem.12652.
- Accuracy of emergency physician-performed limited echocardiography for right ventricular strain.Taylor RA, Moore CL. Accuracy of emergency physician-performed limited echocardiography for right ventricular strain. The American Journal Of Emergency Medicine 2014, 32: 371-4. PMID: 24559906, DOI: 10.1016/j.ajem.2013.12.043.
- Point-of-care focused cardiac ultrasound for prediction of pulmonary embolism adverse outcomes.Taylor RA, Davis J, Liu R, Gupta V, Dziura J, Moore CL. Point-of-care focused cardiac ultrasound for prediction of pulmonary embolism adverse outcomes. The Journal Of Emergency Medicine 2013, 45: 392-9. PMID: 23827166, DOI: 10.1016/j.jemermed.2013.04.014.
- A decision analysis to determine a testing threshold for computed tomographic angiography and D-dimer in the evaluation of aortic dissection.Taylor RA, Iyer NS. A decision analysis to determine a testing threshold for computed tomographic angiography and D-dimer in the evaluation of aortic dissection. The American Journal Of Emergency Medicine 2013, 31: 1047-55. PMID: 23702073, DOI: 10.1016/j.ajem.2013.03.039.
- Point-of-care focused cardiac ultrasound for the assessment of thoracic aortic dimensions, dilation, and aneurysmal disease.Taylor RA, Oliva I, Van Tonder R, Elefteriades J, Dziura J, Moore CL. Point-of-care focused cardiac ultrasound for the assessment of thoracic aortic dimensions, dilation, and aneurysmal disease. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2012, 19: 244-7. PMID: 22288871, DOI: 10.1111/j.1553-2712.2011.01279.x.
- Emergency physician focused cardiac ultrasound improves diagnosis of ascending aortic dissection.Pare JR, Liu R, Moore CL, Sherban T, Kelleher MS, Thomas S, Taylor RA. Emergency physician focused cardiac ultrasound improves diagnosis of ascending aortic dissection. The American Journal Of Emergency Medicine 2016, 34: 486-92. PMID: 26782795, DOI: 10.1016/j.ajem.2015.12.005.
- Use of Point-of-Care Ultrasound in the Emergency Department: Insights From the 2012 Medicare National Payment Data Set.Hall MK, Hall J, Gross CP, Harish NJ, Liu R, Maroongroge S, Moore CL, Raio CC, Taylor RA. Use of Point-of-Care Ultrasound in the Emergency Department: Insights From the 2012 Medicare National Payment Data Set. Journal Of Ultrasound In Medicine : Official Journal Of The American Institute Of Ultrasound In Medicine 2016, 35: 2467-2474. PMID: 27698180, DOI: 10.7863/ultra.16.01041.
- Cost-effectiveness of the Cardiac Component of the Focused Assessment of Sonography in Trauma Examination in Blunt Trauma.Hall MK, Omer T, Moore CL, Taylor RA. Cost-effectiveness of the Cardiac Component of the Focused Assessment of Sonography in Trauma Examination in Blunt Trauma. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2016, 23: 415-23. PMID: 26857839, DOI: 10.1111/acem.12936.
- Impact of point-of-care ultrasonography on ED time to disposition for patients with nontraumatic shock.Hall MK, Taylor RA, Luty S, Allen IE, Moore CL. Impact of point-of-care ultrasonography on ED time to disposition for patients with nontraumatic shock. The American Journal Of Emergency Medicine 2016, 34: 1022-30. PMID: 26988105, DOI: 10.1016/j.ajem.2016.02.059.
- Determination of a Testing Threshold for Lumbar Puncture in the Diagnosis of Subarachnoid Hemorrhage after a Negative Head Computed Tomography: A Decision Analysis.Taylor RA, Singh Gill H, Marcolini EG, Meyers HP, Faust JS, Newman DH. Determination of a Testing Threshold for Lumbar Puncture in the Diagnosis of Subarachnoid Hemorrhage after a Negative Head Computed Tomography: A Decision Analysis. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2016, 23: 1119-1127. PMID: 27378053, DOI: 10.1111/acem.13042.
- The Association Between Physician Empathy and Variation in Imaging Use.Melnick ER, O'Brien EG, Kovalerchik O, Fleischman W, Venkatesh AK, Taylor RA. The Association Between Physician Empathy and Variation in Imaging Use. Academic Emergency Medicine : Official Journal Of The Society For Academic Emergency Medicine 2016, 23: 895-904. PMID: 27343485, PMCID: PMC5884096, DOI: 10.1111/acem.13017.
- Agreement Between Serum Assays Performed in ED Point-of-Care and Hospital Central Laboratories.Dashevsky M, Bernstein SL, Barsky CL, Taylor RA. Agreement Between Serum Assays Performed in ED Point-of-Care and Hospital Central Laboratories. The Western Journal Of Emergency Medicine 2017, 18: 403-409. PMID: 28435491, PMCID: PMC5391890, DOI: 10.5811/westjem.2017.1.30532.
- Physical Restraint Use in Adult Patients Presenting to a General Emergency Department.Wong AH, Taylor RA, Ray JM, Bernstein SL. Physical Restraint Use in Adult Patients Presenting to a General Emergency Department. Annals Of Emergency Medicine 2019, 73: 183-192. PMID: 30119940, DOI: 10.1016/j.annemergmed.2018.06.020.