50 years of informatics research on decision support: What's next
Methods of Information in Medicine, ISSN: 0026-1270, Vol: 50, Issue: 6, Page: 525-535
2011
- 17Citations
- 2Usage
- 58Captures
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.
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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
- Citations17
- Citation Indexes17
- 17
- CrossRef16
- Usage2
- Abstract Views2
- Captures58
- Readers58
- 58
Article Description
Objectives: To reflect on the history, status, and future trends of decision support in health and biomedical informatics. To highlight the new challenges posed by the complexity and diversity of genomic and clinical domains. To examine the emerging paradigms for sup - porting cost-effective, personalized decision making. Methods: A group of international experts in health and biomedical informatics presented their views and discussed the challenges and issues on decision support at the Methods of Information in Medicine 50th anniversary symposium. The experts were invited to write short articles summarizing their thoughts and positions after the symposium. Results and Conclusions: The challenges posed by the complexity and diversity of the domain knowledge, system infrastructure, and usage pattern are highlighted. New requirements and computational paradigms for representing, using, and acquiring biomedical knowledge and healthcare protocols are proposed. The underlying common themes identified for developing next-generation decision support include incorporating lessons from history, uniform vocabularies, integrative interfaces, contextualized decisions, personalized recommendations, and adaptive solutions. © Schattauer 2011.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=83455201733&origin=inward; http://dx.doi.org/10.3414/me11-06-0004; http://www.ncbi.nlm.nih.gov/pubmed/22146915; http://www.thieme-connect.de/DOI/DOI?10.3414/ME11-06-0004; http://www.schattauer.de/index.php?id=1214&doi=10.3414/ME11-06-0004; http://www.schattauer.de/index.php?id=5236&mid=17033&L=1; https://ink.library.smu.edu.sg/sis_research/2982; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3982&context=sis_research; https://dx.doi.org/10.3414/me11-06-0004; https://www.thieme-connect.de/products/ejournals/abstract/10.3414/ME11-06-0004
Georg Thieme Verlag KG
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