Sikora, Andrea

A letter addressing the impact of a flex ICU position on workload.

Citation
Smith BA, Henry KR, Nguyen K, Sikora A. A letter addressing the impact of a flex ICU position on workload. Hosp Pharm. 2025 Feb 13:00185787251318287. doi: 10.1177/00185787251318287. Epub ahead of print. PMID: 39959186; PMCID: PMC11826811.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Citation
Henry K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Most A, Sikora A; MRC‐ICU Investigator Team. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. Pharmacotherapy. 2025 Feb;45(2):76-86. doi: 10.1002/phar.4642. Epub 2025 Jan 3. PMID: 39749877; PMCID: PMC11834896.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.

Citation
Yang H, Hu M, Most A, Hawkins WA, Murray B, Smith SE, Li S, Sikora A. Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education. Front Artif Intell. 2025 Jan 9;7:1514896. doi: 10.3389/frai.2024.1514896. PMID: 39850846; PMCID: PMC11754395.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients.

Citation
Sikora A, Jeong H, Yu M, Chen X, Murray B, Kamaleswaran R. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Sci Rep. 2023 Sep 20;13(1):15562. doi: 10.1038/s41598-023-42657-2. PMID: 37730817; PMCID: PMC10511715.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data.

Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 2023 Sep 18:2023.09.18.23295724. doi: 10.1101/2023.09.18.23295724. PMID: 37790491; PMCID: PMC10543219.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data.

Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 2023 Sep 18:2023.09.18.23295724. doi: 10.1101/2023.09.18.23295724. PMID: 37790491; PMCID: PMC10543219.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Citation
Keats K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Sikora A. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. medRxiv [Preprint]. 2024 Mar 22:2024.03.21.24304663. doi: 10.1101/2024.03.21.24304663. PMID: 38562806; PMCID: PMC10984037.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Citation
Keats K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Sikora A. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. medRxiv [Preprint]. 2024 Mar 22:2024.03.21.24304663. doi: 10.1101/2024.03.21.24304663. PMID: 38562806; PMCID: PMC10984037.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Evaluation of critical care pharmacist evening services at an academic medical center.

Citation
Chase AM, Forehand CC, Keats KR, Taylor AN, Jones TW, Sikora A. Evaluation of critical care pharmacist evening services at an academic medical center. Hosp Pharm. 2024 Apr;59(2):228-233. doi: 10.1177/00185787231207996. Epub 2023 Nov 1. PMID: 38450349; PMCID: PMC10913874.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Evaluation of critical care pharmacist evening services at an academic medical center.

Citation
Chase AM, Forehand CC, Keats KR, Taylor AN, Jones TW, Sikora A. Evaluation of critical care pharmacist evening services at an academic medical center. Hosp Pharm. 2024 Apr;59(2):228-233. doi: 10.1177/00185787231207996. Epub 2023 Nov 1. PMID: 38450349; PMCID: PMC10913874.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction