This paper is in the following e-collection/theme issue:

Interviews and Commentaries (16)

Published on in Vol 10, No 3 (2018):

Data, Information, Evidence, and Knowledge: A Proposal for Health Informatics and Data Science

Data, Information, Evidence, and Knowledge: A Proposal for Health Informatics and Data Science

Data, Information, Evidence, and Knowledge: A Proposal for Health Informatics and Data Science

Authors of this article:

Olaf Dammann1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (22) Tweetations (5) Metrics

Journals

  1. Ranaweera J, Weaving D, Zanin M, Pickard M, Roe G. Digitally Optimizing the Information Flows Necessary to Manage Professional Athletes: A Case Study in Rugby Union. Frontiers in Sports and Active Living 2022;4 View
  2. Artyukhova N, Hordiienko V, Motrechko V, Kasian S, Kwilinski A. Knowledge marketing: M4I-mix model of evaluation. E3S Web of Conferences 2021;307:03002 View
  3. Ranaweera J, Weaving D, Zanin M, Roe G. Identifying the Current State and Improvement Opportunities in the Information Flows Necessary to Manage Professional Athletes: A Case Study in Rugby Union. Frontiers in Sports and Active Living 2022;4 View
  4. Car J, Sheikh A, Wicks P, Williams M. Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom. BMC Medicine 2019;17(1) View
  5. Isokpehi R, Johnson M, Campos B, Sanders A, Cozart T, Harvey I. Knowledge Visualizations to Inform Decision Making for Improving Food Accessibility and Reducing Obesity Rates in the United States. International Journal of Environmental Research and Public Health 2020;17(4):1263 View
  6. Mudumbai S, Gabriel R, Howell S, Tan J, Freundlich R, O’Reilly-Shah V, Kendale S, Poterack K, Rothman B. Public Health Informatics and the Perioperative Physician: Looking to the Future. Anesthesia & Analgesia 2024;138(2):253 View
  7. Gomez-Diaz T, Recio T. Research Software vs. Research Data I: Towards a Research Data definition in the Open Science context. F1000Research 2022;11:118 View
  8. Dórea F, Revie C. Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making. Frontiers in Veterinary Science 2021;8 View
  9. Isokpehi R, Johnson C, Tucker A, Gautam A, Brooks T, Johnson M, Cozart T, Wathington D. Integrating Datasets on Public Health and Clinical Aspects of Sickle Cell Disease for Effective Community-Based Research and Practice. Diseases 2020;8(4):39 View
  10. Artyukhov A, Volk I, Vasylieva T. Agile methodology in higher education quality assurance system for SDGs 4, 8 and 9 achievement: national experience. CTE Workshop Proceedings 2022;9:81 View
  11. Dmitriy K. USE OF DIKW METHODOLOGY FOR EDUCATIONAL PROPOSALS IN THE FRAMEWORK OF INNOVATIVE LEARNING IMPLEMENTATION. Science and Education 2020;2020(4):48 View
  12. Beinarovica I. Policy learning from influenza and the preparedness of the public health sector: 2006/2007 influenza season in Latvia. ScienceOpen Research 2021 View
  13. Brommeyer M, Whittaker M, Mackay M, Ng F, Liang Z. Building health service management workforce capacity in the era of health informatics and digital health – A scoping review. International Journal of Medical Informatics 2023;169:104909 View
  14. Valencia Rodríguez M, Ayora Piedrahita C. Mejora del servicio call center a partir de la gestión del conocimiento. VISUAL REVIEW. International Visual Culture Review / Revista Internacional de Cultura Visual 2022;12(3):1 View
  15. Rojas B, Iglesias A, Wilkins O. Integrating multiple regulations on enzyme activity: the case of phosphoenolpyruvate carboxykinases. AoB PLANTS 2023;15(4) View
  16. McCloud R, Bekalu M, Vaughan T, Maranta L, Peck E, Viswanath K. Evidence for Decision-Making: The Importance of Systematic Data Collection as an Essential Component of Responsive Feedback. Global Health: Science and Practice 2023;11(Supplement 2):e2200246 View
  17. Chen S, Janies D, Paul R, Thill J. Leveraging advances in data-driven deep learning methods for hybrid epidemic modeling. Epidemics 2024;48:100782 View
  18. Beninger P. Artificial Intelligence, Drug Development and Frameworks: An Opportunity to Enhance Understanding. Clinical Therapeutics 2024;46(8):595 View
  19. Singh A, Velu U, Lewis S, Nittala R, Yang J, Vijayakumar S. India's Potential as a Leader in Cancer Care Progress in the Future: A Synthetic Interdisciplinary Perspective. Cureus 2024 View

Books/Policy Documents

  1. Lösch L, Zuiderent-Jerak T. Reframing Algorithms. View