Office-based Physician EHR Adoption and Use in Southern US States
2016
- 245Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage245
- Downloads200
- Abstract Views45
Conference Paper Description
The paper chronicles exploratory research in the domain of physician electronic health records (EHR) adoption with a view to establishing a foundation for additional research. After reviewing the literature on technology adoption in general and EHR adoption, the paper reviews the adoption and use of EHR by physicians in southern US states to determine if anomalies exist by state or by year. The first major finding is that no differences existed between states. Next, it was discovered that there were statistically significant differences in hospital ERH adoption between two consecutive year pairs (2011/12 and 2012/13). This finding was mirrored physician’s ability to send lab results; however, the finding was slightly different in physician’s ability to view lab results where the difference was only significant in 2011/12. These findings should be the catalyst for future research to explore the cause of these differences.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know