Insights and innovations from our fellowship faculty
Our faculty lead transformative research at the intersection of medicine, data, and technology—advancing clinical decision-making, patient safety, and healthcare innovation through their scholarly work.
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Recent Publications
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Knake LA, Asbury R, Penisten S, Meyer N, Burrel K, Chuffo Davila R, Wright A, Blum JM. Successfully Transitioning an Interruptive Alert into a Noninterruptive Alert for Central Line Dressing Changes in the Neonatal Intensive Care Unit. Appl Clin Inform. 2024;15(5):965-969. Epub 2024 Aug 20. doi:10.1055/a-2394-4462 Successfully Transitioning an Interruptive Alert into a Noninterruptive Alert for Central Line Dressing Changes in the Neonatal Intensive Care Unit - PubMed Misurac J, Knake LA, Blum JM. The Effect of Ambient Artificial Intelligence Notes on Provider Burnout. Appl Clin Inform. 2025;16(2):252-258. Epub 2024 Nov 5. doi:10.1055/a-2461-4576 The Effect of Ambient Artificial Intelligence Notes on Provider Burnout - PubMed Knake LA, Kettelkamp J, Bronson A, Meyer N, Hacker K, Blum JM. Special Issue on CDS Failures: Transitioning an Ineffective Medications On Hold Alert from Interruptive to Non-Interruptive to Decrease Alert Burden. Appl Clin Inform. Online ahead of print. Epub 2025 Jun 16. doi:10.1055/a-2632-0605 Transitioning Ineffective Medications on Hold Alert from Interruptive to Noninterruptive Alert to Decrease Alert Burden - PubMed Kandaswamy S, Knake LA, Dziorny A, Hernandez S, McCoy AB, Hess LM, Orenstein E White MS, Kirkendall ES, Molloy M, Hagedorn P, Muthu N, Murugan A, Beus JM, Mai M, Luo B, Chaparro JD. Pediatric Predictive Artificial Intelligence Implemented in Clinical Practice from 2010 to 2021: A Systematic Review. Appl Clin Inform. 2025;16(3):477-487. Epub 2025 Jan 21. doi:10.1055/a-2521-1508 Pediatric Predictive Artificial Intelligence Implemented in Clinical Practice from 2010 to 2021: A Systematic Review - PubMed Knake LA. Artificial intelligence in pediatrics: the future is now. Pediatr Res. 2023;93(2):445-446. Epub 2022 Feb 3. doi:10.1038/s41390-022-01972-6 Artificial intelligence in pediatrics: the future is now - PubMed Sullivan BA, Beam K, Vesoulis ZA, Aziz KB, Husain AN, Knake LA, Moreira AG, Hooven TA, Weiss EM, Carr NR, El-Ferzli GT, Patel RM, Simek KA, Hernandez AJ, Barry JS, McAdams RM. Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities. J Perinatol. 2024;44(1):1-11. Epub 2023 Dec 15. doi:10.1038/s41372-023-01848-5 Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities - PubMed Husain A, Knake L, Sullivan B, Barry J, Beam K, Holmes E, Hooven T, McAdams R, Moreira A, Shalish W, Vesoulis Z. AI models in clinical neonatology: A review of modeling approaches and a consensus proposal for standardized reporting of model performance. Pediatr Res. Online ahead of print. Epub 2024 Dec 17. doi:10.1038/s41390-024-03774-4 AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance - PubMed 2023 Kopsombut G, Knake L. How to optimize clinical decision support to improve care of children. AAP News. American Academy of Pediatrics, Feb 1, 2023. https://publications.aap.org/aapnews/news/23128/How-to-optimize-clinical-decision-support-to?searchresult=1?autologincheck=redirected Blum, J. M., Kheterpal, S. & Tremper, K. K. (2006). A comparison of anesthesiology resident and faculty electronic evaluations before and after implementation of automated electronic reminders. J Clin Anesth 18 (4) 264–267. PMID: 16797427 A comparison of anesthesiology resident and faculty electronic evaluations before and after implementation of automated electronic reminders - PubMed Blum, J. M., Stentz, M. J., Maile, M. D., Jewell, E., Raghavendran, K., Engoren, M. & Ehrenfeld, J. M. (2013). Automated alerting and recommendations for the management of patients with preexisting hypoxia and potential acute lung injury: a pilot study. Anesthesiology 119 (2) 295–302. PMID: 23681144, PMCID: PMC3813292 Automated alerting and recommendations for the management of patients with preexisting hypoxia and potential acute lung injury: a pilot study - PubMed Fu, K. & Blum, J. M. (2014). Controlling for cybersecurity risks of medical device software. Biomed Instrum Technol 48 (S1) 38–41. PMID: 24848148 Controlling for cybersecurity risks of medical device software - PubMed Blum, J. M., Joo, H., Lee, H. & Saeed, M. (2015). Design and implementation of a hospital wide waveform capture system. J Clin Monit Comput 29 (3) 359–362. PMID: 25224387 Design and implementation of a hospital wide waveform capture system - PubMed Wong, A. I., Kamaleswaran, R., Tabaie, A., Reyna, M. A., Josef, C., Robichaux, C., de Hond, A. A., Steyerberg, E. W., Holder, A. L., Nemati, S., Buchman, T. G. & Blum, J. M. (2021). Prediction of acute respiratory failure requiring advanced respiratory support in advance of interventions and treatment: a multivariable prediction model from electronic medical record data. Crit Care Explor 3 (5) e0402. PMID: 34079945, PMCID: PMC8162520 Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data - PubMed Brown, J., Bhatnagar, M., Gordon, H., Lutrick, K., Goodner, J., Blum, J. M., Bartz, R., Uslan, D., David-DiMarino, E., Sorbello, A., Jackson, G., Walsh, J., Neal, L., Cyran, M., Francis, H. & Cobb, J. P. (2021). Clinical data extraction during public health emergencies: a blockchain technology assessment. Biomed Instrum Technol 55 (3) 103–111. PMID: 34460906 Clinical Data Extraction During Public Health Emergencies: A Blockchain Technology Assessment - PubMed Singhal, L., Garg, Y., Yang, P., Tabaie, A., Wong, A. I., Mohammed, A., Chinthala, L., Kadaria, D., Sodhi, A., Holder, A. L., Esper, A., Blum, J. M., Davis, R. L., Clifford, G. D., Martin, G. S. & Kamaleswaran, R. (2021). eARDS: a multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. PLoS One 16 (9) e0257056. PMID: 34559819 eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19 - PubMed Wood, K. E., Pham, H. T., Carter, K. D., Nepple, K. G., Blum, J. M. & Krasowski, M. D. (2023). Impact of a switch to immediate release on the patient viewing of diagnostic test results in an online portal at an academic medical center. J Pathol Inform 14 100323. PMID: 37520309, PMCID: PMC10384271
Impact of a switch to immediate release on the patient viewing of diagnostic test results in an online portal at an academic medical center - PubMed Lilly, C. M., Kirk, D., Pessach, I. M., Lotun, G., Chen, O., Lipsky, A., Lieder, I., Celniker, G., Cucchi, E. W. & Blum, J. M. (2024). Application of machine learning models to biomedical and information system signals from critically ill adults. Chest 165 (5) 1139–1148. PMID: 37923292 Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults - PubMed Cramer, E., Kuperman, E., Meyer, N. & Blum, J. M. (2024). Improving naloxone co-prescribing through clinical decision support. Cureus 16 (7) e63919. PMID: 39099893, PMCID: PMC11298243 Improving Naloxone Co-prescribing Through Clinical Decision Support - PubMed Dornbush, C., Mishra, A., Hrabe, J., Guyton, K., Axelrod, D., Blum, J. & Gribovskaja-Rupp, I. (2025). Remote monitoring after elective colorectal surgery, a pilot study. Surgery 179 108791. PMID: 39307673 Remote monitoring after elective colorectal surgery, a pilot study - PubMed Griffin BR, Mudireddy A, Horne BD, Chonchol M, Goldstein SL, Goto M, Matheny ME, Street WN, Vaughan-Sarrazin M, Jalal DI, Misurac J. Predicting Nephrotoxic Acute Kidney Injury in Hospitalized Adults: A Machine Learning Algorithm. Kidney Medicine. 2024 Oct 15;6(12):100918. doi: 10.1016/j.xkme.2024.100918. PMID: 39634332; PMCID: PMC11615141. Predicting Nephrotoxic Acute Kidney Injury in Hospitalized Adults: A Machine Learning Algorithm - PubMed Blum J, Kramer JM, Johnson KB. The Palm as a real-time wide-area dataaccess device. Proc AMIA Symp. 2001:52-6 The palm as a real-time wide-area data-access device - PubMed Blum JM, Rosenberg AL. An open system for development of derived physiologic alarms, AMIA Annu Symp Proc. 2006:856 An open system for development of derived physiologic alarms - PubMed Kheterpal S, Gupta R, Blum JM, Tremper KK, O'Reilly M, Kazanjian PE. Electronic reminders improve procedure documentation compliance and professional fee reimbursement, Anesth Analg. 2007;104(3):592-7 Electronic reminders improve procedure documentation compliance and professional fee reimbursement - PubMed Blum JM, Kruger GH, Sanders KL, Gutierrez J, Rosenberg AL. Specificity improvement for network distributed physiologic alarms based on a simple deterministic reactive intelligent agent in the critical care environment. J Clin Monit Comput. 2009;23(1):21-30 Specificity improvement for network distributed physiologic alarms based on a simple deterministic reactive intelligent agent in the critical care environment - PubMed Blum JM, Fetterman DM, Park PK, Morris M, Rosenberg AL. A description of intraoperative ventilator management and ventilation strategies in hypoxic patients. Anesth Analg. 2010;11(6):1616-22 A description of intraoperative ventilator management and ventilation strategies in hypoxic patients - PubMed Tripathi RS, Blum JM, Rosenberg AL, Tremper KK. Pulse oximetry saturation to fraction inspired oxygen ratio as a measure of hypoxia under general anesthesia and the influence of positive end-expiratory pressure. J Crit Care. 2010;25(3):542.e9-13 Pulse oximetry saturation to fraction inspired oxygen ratio as a measure of hypoxia under general anesthesia and the influence of positive end-expiratory pressure - PubMed Nafiu OO, Maclean S, Blum J, Kheterpal S, Cowan A, Tremper KK. High BMI in children as a risk factor for intraoperative hypotension. Eur J Anesthesiol. 2010;27(12):1065-8 High BMI in children as a risk factor for intraoperative hypotension - PubMed Maile MD, Patel RA, Blum JM, Tremper KK. A case of malignant hyperthermia captured by an anesthesia information management system. J Clin Monit Comput. 2011;25(2):109-11 A case of malignant hyperthermia captured by an anesthesia information management system - PubMed Blum JM, Maile M, Park PK, Morris M, Jewell E, Dechert R, Rosenberg AL. A description of intraoperative ventilator management in patients with acute lung injury and the use of lung protective ventilation strategies. Anesthesiology. 2011;115(1):75-82 A description of intraoperative ventilator management in patients with acute lung injury and the use of lung protective ventilation strategies - PubMed Tripathi RS, Blum JM, Papadimos TJ, Rosenberg AL. A bibliometric search of citation classics in anesthesiology. BMC Anesthesiol. 2011;11:24 A bibliometric search of citation classics in anesthesiology - PubMed Engoren M, Blum JM. A comparison of the rapid shallow breathing index and complexity measures during spontaneous breathing trials after cardiac surgery. J Crit Care. 2012 Nov 14 A comparison of the rapid shallow breathing index and complexity measures during spontaneous breathing trials after cardiac surgery - PubMed Blum JM, Stentz MJ, Dechert R, Jewell E, Engoren M, Rosenberg AL, Park PK. Preoperative and Intraoperative Predictors of Postoperative Acute Respiratory Distress Syndrome in a General Surgical Population. Anesthesiology 2013 Jan;118(1):19-29 Preoperative and intraoperative predictors of postoperative acute respiratory distress syndrome in a general surgical population - PubMed Blum JM, Davila V, Stentz MJ, Dechert R, Jewell E, Engoren M. “Replacement of anesthesia machines improves intraoperative ventilation parameters associated with the development of acute respiratory distress syndrome.” BMC Anesthesiol. 2014 Jun 10;14:44 Replacement of anesthesia machines improves intraoperative ventilation parameters associated with the development of acute respiratory distress syndrome - PubMed Wanderer JP, Ehrenfeld JM, Epstein RH, Kor DJ, Bartz RR, FernandezBustamante A, Vidal-Melo M, Blum JM. “Temporal Trends and Current Practice Patterns for Intraoperative Ventilation at U.S. Academic Medical Centers: A Retrospective Study.” BMC Anesthesiol. 2015 Mar 28;15:4 Temporal trends and current practice patterns for intraoperative ventilation at U.S. academic medical centers: a retrospective study - PubMed Kruger GH, Shanks A, Kheterpal S, Tremper T, Chiang CJ, Freundlich RE, Blum JM, Shih AJ, Tremper KK. “Influence of non-invasive blood pressure measurement intervals on the occurrence of intra-operative hypotension.” J Clin Monit Comput. 2017 Sep 30 Influence of non-invasive blood pressure measurement intervals on the occurrence of intra-operative hypotension - PubMed Jabaley CS, Groff RF, Sharifpour M, Raikhelkar JK, Blum JM. “Modes of Mechanical Ventilation Vary Between Hospitals and Intensive Care Units Within a University Healthcare System: A Retrospective Observational Study.” BMC Res Notes. 2018 Jul 3;11(1):425 Modes of mechanical ventilation vary between hospitals and intensive care units within a university healthcare system: a retrospective observational study - PubMed Jabaley CS, Groff RF, Barnes TJ, Caridi-Scheible ME, Blum JM, O'Reilly-Shah VN. “Sepsis information-seeking behaviors via Wikipedia between 2015 and 2018: A mixed methods retrospective observational study.” PLoS One. 2019 Aug 22;14(8) Sepsis information-seeking behaviors via Wikipedia between 2015 and 2018: A mixed methods retrospective observational study - PubMed Van Tiem JM, Frieberg JE, Wilson JR, Fitzwater L, Blum JM, Panos RJ, Reisinger HS, Moeckli J. “Utilized or Underutilized: A qualitative analysis of building coherence during early implementation of Tele-ICU” Telemedicine and Telehealth 2020 Utilized or Underutilized: A Qualitative Analysis of Building Coherence During Early Implementation of a Tele-Intensive Care Unit - PubMed Gold JAW, Wong KK, Szablewski CM, Patel PR, Rossow J, da Silva J, Natarajan P, Morris SB, Fanfair RN, Rogers-Brown J, Bruce BB, Browning SD, HernandezRomieu AC, Furukawa NW, Kang M, Evans ME, Oosmanally N, Tobin-D'Angelo M, Drenzek C, Murphy DJ, Hollberg J, Blum JM, Jansen R, Wright DW, Sewell WM 3rd, Owens JD, Lefkove B, Brown FW, Burton DC, Uyeki TM, Bialek SR, Jackson BR. Characteristics and Clinical Outcomes of Adult Patients Hospitalized with COVID-19 - Georgia, March 2020. MMWR Morb Mortal Wkly Rep. 2020 May 8;69(18):545-550 Characteristics and Clinical Outcomes of Adult Patients Hospitalized with COVID-19 - Georgia, March 2020 - PubMed Auld SC, Caridi-Scheible M, Blum JM, Robichaux C, Kraft C, Jacob JT, Jabaley CS, Carpenter DC, Kaplow R, Hernandex-Romieu AC, Aldeman MW, Martin GS, Coopersmith CM. ICU and Ventilator Mortality Among Critically Ill Adults With Coronavirus Disease 2019. Crit Care Med, epub 2020 May 26 ICU and Ventilator Mortality Among Critically Ill Adults With Coronavirus Disease 2019 - PubMed Hernandez-Romieu AC, Adelman MW, Hockstein MA, Robichaux CJ, Edwards JA, Fazio JC, Blum JM, Jabaley CS, Caridi-Scheible M, Martin GS, Murphy DJ, Auld SC; and the Emory COVID-19 Quality and Clinical Research Collaborative. Timing of Intubation and Mortality Among Critically Ill Coronavirus Disease 2019 Patients: A Single-Center Cohort Study. Crit Care Med. 2020 Nov;48(11):e1045- e1053 Timing of Intubation and Mortality Among Critically Ill Coronavirus Disease 2019 Patients: A Single-Center Cohort Study - PubMed da Silva JF, Hernandez-Romieu AC, Browning SD, Bruce BB, Natarajan P, Morris SB, Gold JAW, Neblett Fanfair R, Rogers-Brown J, Rossow J, Szablewski CM, Oosmanally N, D'Angelo MT, Drenzek C, Murphy DJ, Hollberg J, Blum JM, Jansen R, Wright DW, Sewell W, Owens J, Lefkove B, Brown FW, Burton DC, Uyeki TM, Patel PR, Jackson BR, Wong KK. “COVID-19 Clinical Phenotypes: Presentation and Temporal Progression of Disease in a Cohort of Hospitalized Adults in Georgia, United States.” Open Forum Infect Dis. 2020 Dec 7;8(1):596 COVID-19 Clinical Phenotypes: Presentation and Temporal Progression of Disease in a Cohort of Hospitalized Adults in Georgia, United States - PubMed Pettrone K, Burnett E, Link-Gelles R, Haight SC, Schrodt C, England L, Gomes DJ, Shamout M, O'Laughlin K, Kimball A, Blau EF, Ladva CN, Szablewski CM, Tobin-D'Angelo M, Oosmanally N, Drenzek C, Browning SD, Bruce BB, da Silva J, Gold JAW, Jackson BR, Morris SB, Natarajan P, Fanfair RN, Patel PR, Rogers-Brown J, Rossow J, Wong KK, Murphy DJ, Blum JM, Hollberg J, Lefkove B, Brown FW, Shimabukuro T, Midgley CM, Tate JE, Killerby ME. “Characteristics and Risk Factors of Hospitalized and Nonhospitalized COVID-19 Patients, Atlanta, Georgia, USA, March-April 2020.“ Emerg Infect Dis. Characteristics and Risk Factors of Hospitalized and Nonhospitalized COVID-19 Patients, Atlanta, Georgia, USA, March-April 2020 - PubMed Jackson BR, Gold JAW, Natarajan P, Rossow J, Neblett Fanfair R, da Silva J, Wong KK, Browning SD, Bamrah Morris S, Rogers-Brown J, Hernandez-Romieu AC, Szablewski CM, Oosmanally N, Tobin-D'Angelo M, Drenzek C, Murphy DJ, Hollberg J, Blum JM, Jansen R, Wright DW, Sewell WM, Owens JD, Lefkove B, Brown FW, Burton DC, Uyeki TM, Bialek SR, Patel PR, Bruce BB. “Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019.” Clin Infect Dis. 2021 Dec 6;73(11):e4141-e4151 Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019 - PubMed Davis HA, Kerkman D, Hoberg AA, Countryman M, Beaver W, Bybee K, Blum JM, Knosp BM. “Establishing data governance for sharing and access to realworld data: a case study.” JAMIA Open. 2025 Jun 23 Establishing data governance for sharing and access to real-world data: a case study - PubMed