Decision Support Analytics Workgroup

Publications

Dexheimer, JW; Kirkendall, ES; Kouril, M; Hagedorn, PA; Minich, T; Duan, LL; Mahdi, M; Szczesniak, R; Spooner, SA. The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital. Applied Clinical Informatics - ACI. 2017; 8:491-501.

Hagedorn, PA; Kirkendall, ES; Kouril, M; Dexheimer, JW; Courter, J; Minich, T; Spooner, SA. Assessing Frequency and Risk of Weight Entry Errors in Pediatrics. JAMA pediatrics. 2017; 171:392-393.

Kirkendall, ES; Kouril, M; Dexheimer, JW; Courter, JD; Hagedorn, P; Szczesniak, R; Li, D; Damania, R; Minich, T; Spooner, SA. Automated identification of antibiotic overdoses and adverse drug events via analysis of prescribing alerts and medication administration records. Journal of the American Medical Informatics Association : JAMIA. 2017; 24:295-302.

Li, Q; Spooner, SA; Kaiser, M; Lingren, N; Robbins, J; Lingren, T; Tang, H; Solti, I; Ni, Y. An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics and Decision Making. 2015; 15:37.

Kirkendall, ES; Spooner, SA; Logan, JR. Evaluating the accuracy of electronic pediatric drug dosing rules. Journal of the American Medical Informatics Association : JAMIA. 2014; 21:e43-e49.

Kirkendall, ES; Kouril, M; Minich, T; Spooner, SA. Analysis of electronic medication orders with large overdoses: opportunities for mitigating dosing errors. Applied Clinical Informatics - ACI. 2014; 5:25-45.

Johnson, KB; Ho, Y; Spooner, SA; Palmer, M; Weinberg, ST. Assessing the reliability of an automated dose-rounding algorithm. Journal of Biomedical Informatics. 2013; 46:814-821.

Kennebeck, SS; Timm, N; Farrell, MK; Spooner, SA. Impact of electronic health record implementation on patient flow metrics in a pediatric emergency department. Journal of the American Medical Informatics Association : JAMIA. 2012; 19:443-447.

Johnson, KB; Lee, CK K; Spooner, A; Davison, CL; Helmke, JS; Weinberg, ST. Automated dose-rounding recommendations for pediatric medications. Pediatrics. 2011; 128:e422-e428.

Kanbar, LJ; Dexheimer, JW; Benscoter, DT; Amin, RS; Schuler, CL; Pajor, N. Timeline of Weaning in Pediatric Long-Term Mechanical Ventilator Dependent Children: A Longitudinal Cohort Study. Pediatric Pulmonology. 2025; 60:e27405.

Boch, S; Wildeman, C; Dexheimer, J; Kahn, R; Lambert, J; Beal, S. Pediatric Health and System Impacts of Mass Incarceration, 2009-2020: A Matched Cohort Study. Academic Pediatrics. 2024; 24:1285-1295.

Kanbar, L; Osborn, AK; Cifuentes, A; Combs, J; Sorter, MT; Dexheimer, JW; Barzman, DH. 3.4 What Matters Most: A Machine Learning Approach to Identify the Most Important Questions in the Automated Risk Assessment of School Violence. Journal of the American Academy of Child and Adolescent Psychiatry. 2024; 63:s206-s207.

Wang, Z; Zhou, G; Palipana, A; Gecili, E; Dexheimer, JW; Siracusa, C; Szczesniak, R. Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study. 2024; 2:10.

Kanbar, LJ; Mishra, A; Osborn, A; Cifuentes, A; Combs, J; Sorter, M; Barzman, D; Dexheimer, JW. Investigation of bias in the automated assessment of school violence. Journal of Biomedical Informatics. 2024; 157:104709.

Poweleit, EA; Vaughn, SE; Desta, Z; Dexheimer, JW; Strawn, JR; Ramsey, LB. Machine Learning-Based Prediction of Escitalopram and Sertraline Side Effects With Pharmacokinetic Data in Children and Adolescents. Clinical Pharmacology and Therapeutics. 2024; 115:860-870.

Wissel, BD; Greiner, HM; Glauser, TA; Pestian, JP; Ficker, DM; Cavitt, JL; Estofan, L; Holland-Bouley, KD; Mangano, FT; Szczesniak, RD; Dexheimer, JW. Early Identification of Candidates for Epilepsy Surgery: A Multicenter, Machine Learning, Prospective Validation Study. Neurology. 2024; 102:e208048.

Huber, J; Dexheimer, J; Vaughn, L; Wall, J; O'Connor, G; Badia, P; Davies, SM; Dandoy, DC E. HSCT Patient and Family Education Concept Identification. Transplantation and Cellular Therapy. 2024; 30:s344-s345.

Palipana, AK; Vancil, A; Gecili, E; Rasnick, E; Ehrlich, D; Pestian, T; Andrinopoulou, ER; Afonso, PM; Keogh, RH; Ni, Y; Dexheimer, JW; Clancy, JP; Ryan, P; Brokamp, C; Szczesniak, RD. Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States. Environmental Advances. 2023; 14:100449.

Minja, NW; Pulle, J; Rwebembera, J; De Loizaga, SR; Fall, N; Ollberding, N; Abrams, J; Atala, J; Kamarembo, J; Oyella, L; Danforth, K; Okello, E; Beaton, AZ; Watkins, DA. Evaluating the implementation of a dynamic digital application to enable community-based decentralisation of rheumatic heart disease case management in Uganda: protocol for a hybrid type III effectiveness-implementation study. BMJ Open. 2023; 13:e071540.

De Loizaga, SR; Pulle, J; Rwebembera, J; Abrams, J; Atala, J; Chesnut, E; Danforth, K; Fall, N; Felicelli, N; Lapthorn, K; Zühlke, L; Okello, E; Beaton, A; Dexheimer, JW. Development and User Testing of a Dynamic Tool for Rheumatic Heart Disease Management. Applied Clinical Informatics - ACI. 2023; 14:866-877.

Kanbar, L; Mishra, A; Osborn, AK; Cifuentes, A; Combs, J; Sorter, MT; Dexheimer, JW; Barzman, DH. 1.2 Forecasting Best Performance with Incomplete Resources: Automated Risk Assessment of School Violence. Journal of the American Academy of Child and Adolescent Psychiatry. 2023; 62:s155.

Siegel, R; Khoury, P; Spooner, SA; Stackpole, K; Allen, N; Kirk, S; Kharofa, R. Body Mass Index Increased at a Large Midwestern Children's Hospital During the COVID-19 Pandemic. Childhood Obesity. 2023; 19:364-372.

Wissel, BD; Greiner, HM; Glauser, TA; Mangano, FT; Holland-Bouley, KD; Zhang, N; Szczesniak, RD; Santel, D; Pestian, JP; Dexheimer, JW. Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Epilepsia. 2023; 64:1791-1799.

Denson, NK; Dexheimer, JW; Smith, J; Prasath, S; Sharma, V; Liu, X; Murphy, R; Reigle, J; Ni, Y; Dhaliwal, J. Tu1967 ENTITY AND RELATION IDENTIFICATION IN UNSTRUCTURED ENDOSCOPY REPORTS. Gastroenterology. 2023; 164:s-1165.

Gecili, E; Brokamp, C; Rasnick, E; Afonso, PM; Andrinopoulou, ER; Dexheimer, JW; Clancy, JP; Keogh, RH; Ni, Y; Palipana, A; Su, W; Siracusa, C; Ryan, P; Szczesniak, RD. Built environment factors predictive of early rapid lung function decline in cystic fibrosis. Pediatric Pulmonology. 2023; 58:1501-1513.

Su, EC; Dexheimer, JW; Kronk, CA; Snedecor, R; Popler, E; Thomas, A; Szczesniak, R; Gecili, E; Conard, L. 115. Automated Identification of Transgender and Gender Non-conforming patients from Electronic Health Record Data. Journal of Adolescent Health. 2023; 72:s66.

Kanbar, LJ; Dexheimer, JW; Zahner, J; Burrows, EK; Chatburn, R; Messinger, A; Baker, CD; Schuler, CL; Benscoter, D; Amin, R; Pajor, N. Standardizing electronic health record ventilation data in the pediatric long-term mechanical ventilator-dependent population. Pediatric Pulmonology. 2023; 58:433-440.

Kanbar, LJ; Wissel, B; Ni, Y; Pajor, N; Glauser, T; Pestian, J; Dexheimer, JW. Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics. 2022; 10:e37833.

Kanbar, L; Barzman, DH; Dexheimer, J; Osborn, A; Combs, JS; Diler, RS; Sorter, MT; Zhang, B; Hemphill, R; Decker, RM; Patel, RR; Fanegan, B. 2.7 Automated Detection of School Violence Using Linguistic Features. Journal of the American Academy of Child and Adolescent Psychiatry. 2022; 61:s184-s185.

Sveen, W; Dewan, M; Dexheimer, JW. The Risk of Coding Racism into Pediatric Sepsis Care: The Necessity of Antiracism in Machine Learning. The Journal of Pediatrics. 2022; 247:129-132.

Wu, DT Y; Van Camp, PJ; Kim, A; Parikh, M; Liu, L; Mahdi, M; Ni, Y; Spooner, SA. User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. In: Otero P; Scott P; Martin SZ; Huesing E, Ed. Studies in Health Technology and Informatics. : IOS Press; IOS Press; 2022.

Fitzsimmons, L; Dewan, M; Dexheimer, JW. Diversity in Machine Learning: A Systematic Review of Text-Based Diagnostic Applications. Applied Clinical Informatics - ACI. 2022; 13:569-582.

Kovaleski, C; Courter, JD; Ghulam, E; Hagedorn, PA; Haslam, DB; Kurowski, EM; Rudloff, J; Szczesniak, R; Dexheimer, JW. Aligning Provider Prescribing With Guidelines for Soft Tissue Infections. Pediatric Emergency Care. 2022; 38:e1063-e1068.

Liu, L; Wu, DT Y; Spooner, SA; Ni, Y. Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2022; 2021:783-792.

Ko, DG; Dexheimer, JW; Eckman, MH; Cohen, RM; Schauer, DP; Harnett, BM. (2022) T2DM Clinical Decision Support System: Comprehensive Patient Care.

Kronk, CA; Dexheimer, JW. An ontology-based review of transgender literature: Revealing a history of medicalization and pathologization. International Journal of Medical Informatics. 2021; 156:104601.

Wissel, BD; Greiner, HM; Glauser, TA; Pestian, JP; Kemme, AJ; Santel, D; Ficker, DM; Mangano, FT; Szczesniak, RD; Dexheimer, JW. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurologica Scandinavica. 2021; 144:41-50.

Kronk, CA; Dexheimer, JW. Creation and Evaluation of the Gender, Sex, and Sexual Orientation (GSSO) Ontology. Pediatrics. 2021; 147:602-603.

Reed, JL; Alessandrini, EA; Dexheimer, J; Kachelmeyer, A; Macaluso, M; Zhang, N; Kahn, JA. Effectiveness of a Universally Offered Chlamydia and Gonorrhea Screening Intervention in the Pediatric Emergency Department. Journal of Adolescent Health. 2021; 68:57-64.