Decision Support Analytics Workgroup
Publications

Lab Publications

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(e1):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. 2014; 5(1):25-45.

Johnson, KB; Ho, Y-X; Andrew Spooner, S; Palmer, M; Weinberg, ST. Assessing the reliability of an automated dose-rounding algorithm. Journal of Biomedical Informatics. 2013; 46(5):814-821.

Spellman Kennebeck, S; 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(3):443-447.

Johnson, KB; Lee, CKK; Spooner, SA; Davison, CL; Helmke, JS; Weinberg, ST. Automated dose-rounding recommendations for pediatric medications. Pediatrics. 2011; 128(2):e422-e428.

Wissel, BD; Percy, Z; Zachem, TJ; Beaulieu-Jones, B; Kohane, IS; Goldstein, SL; Gecili, E; Dexheimer, JW. Heterogenous effect of automated alerts on mortality. Journal of the American Medical Informatics Association : JAMIA. 2025.

Minja, NW; Pulle, J; Rwebembera, J; Ollberding, NJ; Fall, N; Atala, J; Kamarembo, J; Oyella, L; Odong, F; De Loizaga, SR; Okello, E; Beaton, AZ; Watkins, DA; Danforth, KM. Integrating secondary prevention of rheumatic heart disease into the primary healthcare system in Northern Uganda. BMJ Global Health. 2025; 10(8).

Kanbar, LJ; Osborn, A; Cifuentes, A; Combs, J; Sorter, M; Barzman, D; Dexheimer, JW. Forecasting school violence risk with incomplete interview data: an automated assessment approach. JAMIA Open. 2025; 8(4):ooaf084.

Schmidt, SK; Dexheimer, JW; Zorc, JJ; Palmer, CA; Casper, TC; Stukus, KS; Pickett, ML; Mollen, CJ; Elsholz, CL; Cruz, AT; Augustine, EM; Goyal, MK; Reed, JL. Multisite Implementation of a Sexual Health Survey and Clinical Decision Support to Promote Adolescent Sexually Transmitted Infection Screening. Applied Clinical Informatics. 2025; 16(2):283-294.

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(1):e27405.

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(10):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. Discover Data. 2024; 2(1):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(4):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(4):e208048.

Huber, J; Dexheimer, J; Vaughn, L; Wall, J; O'connor, G; Badia, P; Davies, SM; Dandoy, CE. HSCT Patient and Family Education Concept Identification. Transplantation and Cellular Therapy. 2024; 30(2):s344-s345.

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(8):1285-1295.

Palipana, AK; Vancil, A; Gecili, E; Rasnick, E; Ehrlich, D; Pestian, T; Andrinopoulou, E-R; 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.

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(10):e071540.

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(10):s155.

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. 2023; 14(5):866-877.

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(7):1791-1799.

Gecili, E; Brokamp, C; Rasnick, E; Afonso, PM; Andrinopoulou, E-R; 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(5):1501-1513.

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(6):s-1165.

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(3):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(2):433-440.

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(6):364-372.

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(12):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(10):s184-s185.

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

Fitzsimmons, L; Dewan, M; Dexheimer, JW. Diversity in Machine Learning: A Systematic Review of Text-Based Diagnostic Applications. Applied Clinical Informatics. 2022; 13(3):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(3):e1063-e1068.

Wu, DTY; 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. 2022:517-521.

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(1):41-50.

Kronk, CA; Dexheimer, JW. Creation and Evaluation of the Gender, Sex, and Sexual Orientation (GSSO) Ontology. Pediatrics. 2021; 147(3_MeetingAbstract):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(1):57-64.

Liu, L; Wu, DTY; 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. 2021; 2021:783-792.