Published on in Vol 21, No 3 (2019): March

A Human(e) Factor in Clinical Decision Support Systems

A Human(e) Factor in Clinical Decision Support Systems

A Human(e) Factor in Clinical Decision Support Systems

Journals

  1. Groenhof T, Rittersma Z, Bots M, Brandjes M, Jacobs J, Grobbee D, van Solinge W, Visseren F, Haitjema S, Asselbergs F. A computerised decision support system for cardiovascular risk management ‘live’ in the electronic health record environment: development, validation and implementation—the Utrecht Cardiovascular Cohort Initiative. Netherlands Heart Journal 2019;27(9):435 View
  2. Strohm L, Hehakaya C, Ranschaert E, Boon W, Moors E. Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors. European Radiology 2020;30(10):5525 View
  3. Capobianco E. Imprecise Data and Their Impact on Translational Research in Medicine. Frontiers in Medicine 2020;7 View
  4. Groenhof T, Kofink D, Bots M, Nathoe H, Hoefer I, Van Solinge W, Lely A, Asselbergs F, Haitjema S. Low-Density Lipoprotein Cholesterol Target Attainment in Patients With Established Cardiovascular Disease: Analysis of Routine Care Data. JMIR Medical Informatics 2020;8(4):e16400 View
  5. Sánchez López J, Cambil Martín J, Villegas Calvo M, Luque Martínez F. Conflictos éticos entre autonomía y aprendizaje profundo. Journal of Healthcare Quality Research 2020;35(1):51 View
  6. Khalifa M, Magrabi F, Gallego Luxan B. Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e15770 View
  7. Oprea T. Exploring the dark genome: implications for precision medicine. Mammalian Genome 2019;30(7-8):192 View
  8. Hwang Y, Kim H, Choi H, Lee J. Exploring Abnormal Behavior Patterns of Online Users With Emotional Eating Behavior: Topic Modeling Study. Journal of Medical Internet Research 2020;22(3):e15700 View
  9. Groenhof T, Koers L, Blasse E, de Groot M, Grobbee D, Bots M, Asselbergs F, Lely A, Haitjema S, van Solinge W, Hoefer I, Haitjema S, de Groot M, Blasse E, Asselbergs F, Nathoe H, de Borst G, Bots M, Geerlings M, Emmelot M, de Jong P, Leiner T, Lely A, van der Kaaij N, Kappelle L, Ruigrok Y, Verhaar M, Visseren F, Westerink J. Data mining information from electronic health records produced high yield and accuracy for current smoking status. Journal of Clinical Epidemiology 2020;118:100 View
  10. Amirmahani F, Ebrahimi N, Molaei F, Faghihkhorasani F, Jamshidi Goharrizi K, Mirtaghi S, Borjian‐Boroujeni M, Hamblin M. Approaches for the integration of big data in translational medicine: single‐cell and computational methods. Annals of the New York Academy of Sciences 2021 View
  11. Cheng C, Chen C, Cheng F, Chen H, Su Y, Yeh C, Chung I, Liao C. A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study. JMIR Medical Informatics 2020;8(11):e19416 View
  12. Brunekreef T, Otten H, Bosch S, Hoefer I, Laar J, Limper M, Haitjema S. Text Mining of Electronic Health Records Can Accurately Identify and Characterize Patients With Systemic Lupus Erythematosus. ACR Open Rheumatology 2021;3(2):65 View
  13. Manco L, Maffei N, Strolin S, Vichi S, Bottazzi L, Strigari L. Basic of machine learning and deep learning in imaging for medical physicists. Physica Medica 2021;83:194 View
  14. Schaaf J, Sedlmayr M, Sedlmayr B, Prokosch H, Storf H. Evaluation of a clinical decision support system for rare diseases: a qualitative study. BMC Medical Informatics and Decision Making 2021;21(1) View
  15. Nijman S, Groenhof T, Hoogland J, Bots M, Brandjes M, Jacobs J, Asselbergs F, Moons K, Debray T. Real-time imputation of missing predictor values improved the application of prediction models in daily practice. Journal of Clinical Epidemiology 2021;134:22 View
  16. Agreli H, Huising R, Peduzzi M. Role reconfiguration: what ethnographic studies tell us about the implications of technological change for work and collaboration in healthcare. BMJ Leader 2021:leader-2020-000224 View