| Analysis of clinical decision support system malfunctions: a case series and survey A Wright, TTT Hickman, D McEvoy, S Aaron, A Ai, JM Andersen, ... Journal of the American Medical Informatics Association 23 (6), 1068-1076, 2016 | 134 | 2016 |
| Reducing alert burden in electronic health records: state of the art recommendations from four health systems JD McGreevey III, CP Mallozzi, RM Perkins, E Shelov, R Schreiber Applied clinical informatics 11 (01), 001-012, 2020 | 112 | 2020 |
| Variation in high-priority drug-drug interaction alerts across institutions and electronic health records DS McEvoy, DF Sittig, TT Hickman, S Aaron, A Ai, M Amato, DW Bauer, ... Journal of the American Medical Informatics Association 24 (2), 331-338, 2017 | 83 | 2017 |
| Clinical decision support alert malfunctions: analysis and empirically derived taxonomy A Wright, A Ai, J Ash, JF Wiesen, TTT Hickman, S Aaron, D McEvoy, ... Journal of the American Medical Informatics Association 25 (5), 496-506, 2018 | 67 | 2018 |
| Reduced effectiveness of interruptive drug-drug interaction alerts after conversion to a commercial electronic health record A Wright, S Aaron, DL Seger, L Samal, GD Schiff, DW Bates Journal of General Internal Medicine 33, 1868-1876, 2018 | 64 | 2018 |
| Reducing interruptive alert burden using quality improvement methodology JD Chaparro, C Hussain, JA Lee, J Hehmeyer, M Nguyen, J Hoffman Applied Clinical Informatics 11 (01), 046-058, 2020 | 59 | 2020 |
| The big phish: cyberattacks against US healthcare systems A Wright, S Aaron, DW Bates Journal of General Internal Medicine 31, 1115-1118, 2016 | 53 | 2016 |
| Clinical information systems and artificial intelligence: recent research trends C Combi, G Pozzi Yearbook of medical informatics 28 (01), 083-094, 2019 | 52 | 2019 |
| Structured override reasons for drug-drug interaction alerts in electronic health records A Wright, DS McEvoy, S Aaron, AB McCoy, MG Amato, H Kim, A Ai, ... Journal of the American Medical Informatics Association 26 (10), 934-942, 2019 | 51 | 2019 |
| Using statistical anomaly detection models to find clinical decision support malfunctions S Ray, DS McEvoy, S Aaron, TT Hickman, A Wright Journal of the American Medical Informatics Association 25 (7), 862-871, 2018 | 50 | 2018 |
| Cranky comments: detecting clinical decision support malfunctions through free-text override reasons S Aaron, DS McEvoy, S Ray, TTT Hickman, A Wright Journal of the American Medical Informatics Association 26 (1), 37-43, 2019 | 35 | 2019 |
| Testing electronic health records in the “production” environment: an essential step in the journey to a safe and effective health care system A Wright, S Aaron, DF Sittig Journal of the American Medical Informatics Association 24 (1), 188-192, 2017 | 29 | 2017 |
| Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: results of a Delphi study A Wright, JS Ash, S Aaron, A Ai, TTT Hickman, JF Wiesen, W Galanter, ... International journal of medical informatics 118, 78-85, 2018 | 28 | 2018 |
| Towards a maturity model for clinical decision support operations EW Orenstein, N Muthu, AO Weitkamp, DF Ferro, MD Zeidlhack, J Slagle, ... Applied Clinical Informatics 10 (05), 810-819, 2019 | 21 | 2019 |
| Human-centered design of clinical decision support for management of hypertension with chronic kidney disease PM Garabedian, MP Gannon, S Aaron, E Wu, Z Burns, L Samal BMC Medical Informatics and Decision Making 22 (1), 217, 2022 | 12 | 2022 |
| Smashing the strict hierarchy: three cases of clinical decision support malfunctions involving carvedilol A Wright, AP Wright, S Aaron, DF Sittig Journal of the American Medical Informatics Association 25 (11), 1552-1555, 2018 | 11 | 2018 |
| Contributions on clinical decision support from the 2018 literature V Koutkias, J Bouaud, ... Yearbook of medical informatics 28 (01), 135-137, 2019 | 7 | 2019 |
| Changes in hospital bond ratings after the transition to a new electronic health record D McEvoy, ML Barnett, DF Sittig, S Aaron, A Mehrotra, A Wright Journal of the American Medical Informatics Association 25 (5), 572-574, 2018 | 7 | 2018 |
| Methods for detecting malfunctions in clinical decision support systems A Wright, TT Hickman, D McEvoy, S Aaron, A Ai, JS Ash, JM Andersen, ... MEDINFO 2017: Precision Healthcare through Informatics, 1385-1385, 2017 | 6 | 2017 |
| Refining clinical phenotypes to improve clinical decision support and reduce alert fatigue: a feasibility study L Samal, E Wu, S Aaron, JL Kilgallon, M Gannon, A McCoy, S Blecker, ... Applied Clinical Informatics 14 (03), 528-537, 2023 | 4 | 2023 |
