| Machine learning to predict the risk of incident heart failure hospitalization among patients with diabetes: the WATCH-DM risk score MW Segar, M Vaduganathan, KV Patel, DK McGuire, J Butler, ... Diabetes Care 42 (12), 2298-2306, 2019 | 191 | 2019 |
| Rapid development of specialty population registries and quality measures from electronic health record data V Kannan, JS Fish, JM Mutz, AR Carrington, K Lai, LS Davis, ... Methods of information in medicine 56 (S 01), e74-e83, 2017 | 45 | 2017 |
| SNOMED CT concept hierarchies for sharing definitions of clinical conditions using electronic health record data DL Willett, V Kannan, L Chu, JR Buchanan, FT Velasco, JD Clark, JS Fish, ... Applied clinical informatics 9 (03), 667-682, 2018 | 38 | 2018 |
| Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia MW Segar, MS Khan, KV Patel, M Vaduganathan, V Kannan, D Willett, ... European Journal of Heart Failure 24 (1), 169-180, 2022 | 27 | 2022 |
| User stories as lightweight requirements for agile clinical decision support development V Kannan, MA Basit, P Bajaj, AR Carrington, IB Donahue, EL Flahaven, ... Journal of the American Medical Informatics Association 26 (11), 1344-1354, 2019 | 24 | 2019 |
| Count me in: using a patient portal to minimize implicit bias in clinical research recruitment V Kannan, KE Wilkinson, M Varghese, S Lynch-Medick, DL Willett, ... Journal of the American Medical Informatics Association 26 (8-9), 703-713, 2019 | 22 | 2019 |
| SNOMED CT concept hierarchies for computable clinical phenotypes from electronic health record data: comparison of Intensional versus extensional value sets L Chu, V Kannan, MA Basit, DJ Schaeflein, AR Ortuzar, JF Glorioso, ... JMIR Medical Informatics 7 (1), e11487, 2019 | 16 | 2019 |
| Validation of the WATCH‐DM and TRS‐HFDM Risk Scores to Predict the Risk of Incident Hospitalization for Heart Failure Among Adults With Type 2 Diabetes: A … MW Segar, KV Patel, AS Hellkamp, M Vaduganathan, Y Lokhnygina, ... Journal of the American Heart Association, e024094, 2021 | 14 | 2021 |
| Agile co-development for clinical adoption and adaptation of innovative technologies V Kannan, MA Basit, JE Youngblood, TD Bryson, SM Toomay, JS Fish, ... 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), 56-59, 2017 | 12 | 2017 |
| Agile model driven development of electronic health record-based specialty population registries V Kannan, JC Fish, DWL Willett 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 12 | 2016 |
| Agile acceptance test–driven development of clinical decision support advisories: feasibility of using open source software MA Basit, KL Baldwin, V Kannan, EL Flahaven, CJ Parks, JM Ott, ... JMIR medical informatics 6 (2), e9679, 2018 | 11 | 2018 |
| USE OF AN ELECTRONIC HEALTH RECORDS REGISTRY TO IDENTIFY CARE GAPS IN CARDIOVASCULAR CARE OF CANCER PATIENTS S Philips, D Willett, S Das, E Sara, V Kannan, V Zaha Journal of the American College of Cardiology 71 (11S), A698-A698, 2018 | 3 | 2018 |
| Agile Clinical Decision Support Development. V Kannan, M Basit, DWL Willett AMIA, 2017 | 3 | 2017 |
| Rapid-Cycle Implementation of a Multi-Organization Registry for Heart Failure with Preserved Ejection Fraction Using Health Information Exchange Standards A Pandey, J MacNamara, S Sarma, F Velasco, V Kannan, J Willard, ... MEDINFO 2019: Health and Wellbeing e-Networks for All, 1560-1561, 2019 | 2 | 2019 |
| Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study A Chandra, ST Philips, A Pandey, M Basit, V Kannan, EJ Sara, SR Das, ... JMIR cardio 5 (1), e22296, 2021 | 1 | 2021 |
| Agile Clinical Decision Support Development and Implementation MA Basit, V Kannan, DL Willett Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 1 | 2018 |
| RAPID-CYCLE REPLICATION OF AN ELECTRONIC HEALTH RECORD BASED REGISTRY FOR HEART FAILURE WITH REDUCED EJECTION FRACTION S Carter, C Mai, S Tan, K Ginder, T Frazier, V Kannan, S Das, D Willett Journal of the American College of Cardiology 79 (9_Supplement), 2039-2039, 2022 | | 2022 |
| HOW GOOD IS THE SUPPLIED CRYSTAL BALL? EVALUATION OF AN ELECTRONIC HEALTH RECORD (EHR) NO-SHOW (NS) PREDICTION MODE L Chu, V Kannan, C Lehmann, M Basit, SM Toomay, Y Xi, DL Willett JOURNAL OF GENERAL INTERNAL MEDICINE 35 (SUPPL 1), S152-S153, 2020 | | 2020 |
| Correction: SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets L Chu, V Kannan, MA Basit, DJ Schaeflein, AR Ortuzar, JF Glorioso, ... JMIR medical informatics 7 (3), e14654, 2019 | | 2019 |
| State Diagrams for Automating Disease" Risk Pyramid" Data Collection and Tailored Clinical Decision Support DL Willett, A Pandey, NNL Ifejika, V Kannan, JD Berry, MA Basit Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | | 2018 |
