Electronic Health Records: Then, Now, and in the Future
By R. Evans, MS R. Scott Evans. Yearbook of Medical Informatics, 2016
670 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Health Information Management
View Paper: https://www.semanticscholar.org/paper/871ff17327f7e2d2d1c8a8946fbc4b42b1ff14a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michiel Schinkel
- Eran Segal
- Prabath W. B. Nanayakkara
- Sarah Graham
- Ho-Cheol Kim
- M. de Choudhury
- R. N. Nannan Panday
- Ketan Paranjape
Citations in the corpus
- Artificial Intelligence for Mental Healthcare: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom (2021, background): “Also, there are increasing numbers of large-scale databases like Electronic Health Records (EHRs) in various countries (9).”
- Axes of a revolution: challenges and promises of big data in healthcare (2020, background): “For example, clinical information from over 13 years of EHRs that originated from a tertiary hospital has led to the identification of over 17,000 known drug– disease associations and to the identification of terbutaline sulfate, an anti-asthmatic drug, as a candidate drug for the treatment of amyot”
- Introducing Artificial Intelligence Training in Medical Education (2019, positive): “At present, training on use of EHRs for medical students and physicians is not commonly incorporated in the medical curriculum [60], resulting in the medical professional using the EHR as a replacement to capture information on paper without understanding the true potential of this technology [61].”