Medgate – Enterprise EHS Software Solutions
Performing Bayesian Analysis with IH Data Analyst, will concede Medgate business to countenance their veteran visualisation per risk, to assistance safeguard a best illusive decisions are done about risk of worker exposures
(PRWEB) Feb 27, 2015
Industrial Hygienists can now make improved sensitive decisions about a risk of exposures to chemicals, noise, and other hazards in a workplace, interjection to a new interface between Medgate and EASi’s products.
Medgate business can now directly entrance IH Data Analyst, combined by EASi, interjection to an disdainful partnership announced final year. It allows users of Medgate’s industrial hygiene program to perform Bayesian Decision Analysis (BDA) as partial of their risk assessments to give clearer outcomes about exposures with singular data.
IH Data Analyst is widely famous as a attention customary in BDA tools, used by hygienists all over a world. Before now, industrial hygiene professionals have had to use a standalone application, adding poignant time and bid into their risk research processes. By integrating this apparatus into Medgate’s Industrial Hygiene suite, Industrial Hygienists will be means to conduct all of their risk assessments in a single, centralized location.
Medgate’s Industrial Hygiene Product Manager, Monica Melkonian CIH, said: “Performing Bayesian Analysis with IH Data Analyst, will concede Medgate business to countenance their veteran visualisation per risk, to assistance safeguard a best illusive decisions are done about risk of worker exposures.”
Medgate (http://www.medgate.com) is a heading provider of program for environmental, industrial hygiene, occupational health, and reserve information management. Available in mixed languages, Medgate program is used opposite a creation in hundreds of a best famous companies and supervision entities.
Developed by approved EHS professionals, a Medgate program supports a reserve / environmental supervision complement approach. Using a strong program application, EHS professionals can conduct incidents, lessen risks, prove correspondence requirements, brand problem areas, and magnitude performance.
EASi (http://oesh.com/software.php) develops IH Data Analyst (IHDA), an innovative, singular occupational information research product designed to support a industrial hygienist in interpreting datasets where a representation distance is small.
About Bayesian Decision Analysis
Bayesian preference research is bend of statistics formed on a postulate of a mathematician Thomas Bayes that can uncover how illusive certain outcomes are in a given a set of circumstances.
Being means to perform this kind of research is quite useful for industrial hygienists. Their purpose involves measuring potentially dangerous workplace exposures to establish either employees are during risk and should be stable and monitored for health impacts.
If a series of samples taken is vast enough, it is comparatively candid to use a information collected to make risk-based decisions. However, with singular data, it becomes some-more formidable to statistically countenance those decisions.
Applying Bayesian preference research to representation information sets will concede industrial hygienists to act with some-more certainty when compared to customary statistical methods, quite when a representation distance is limited.