| REVIEW ARTICLE |
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| Year : 2013 | Volume
: 17
| Issue : 9 | Page : 601-607 |
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Online risk engines and scoring tools in endocrinology
Partha Pratim Chakraborty1, Sujoy Ghosh1, Sanjay Kalra2
1 Department of Endocrinology, Institute of Post Graduate Medical Education and Research, Calcutta, India
2 Department of Endocrinology, Bharti Hospital and BRIDE, Karnal, Haryana, India
Correspondence Address:
Sujoy Ghosh
Department of Endocrinology, IPGME&R, Kolkata
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/2230-8210.123544
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With evolution of evidence-based medicine, risk prediction equations have been formulated and validated. Such risk engines and scoring systems are able to predict disease outcome and risks of possible complications with varying degrees of accuracy. From health policy makers point of view it helps in appropriate disbursement of available resources for greatest benefit of population at risk. Understandably, the accuracy of prediction of different risk engines and scoring systems are highly variable and has several limitations. Each risk engine or clinical scoring tool is derived from data obtained from a particular population and its results are not generalizable and hence its ability to predict risk/outcome in a different population with differences in ethnicity, ages, and differences in distribution of risk factors over time both within and between populations. These scoring systems and risk engines to begin with were available for manual calculations and references/use of formula and paper charts were essential. However, with evolution of information technology such calculations became easier to make with use of online web-based tools. In recent times with advancement of android technology, easy to download apps (applications) has helped further to have the benefits of these online risk engines and scoring systems at our finger tips. |
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