Background The Product Classification Database provides a list of medical device names and their corresponding product classification codes. The main purpose of using this database is to assist manufacturers, healthcare professionals, and the general public in identifying and classifying medical devices according to FDA regulations. This classification impacts the approval process, marketing, and post-market surveillance of the devices. Methods Various statistics including the number of sites, sample size, and date of receipt associated with proper distribution involves in analyzing the reliability evaluation factor. The MLE approach for two-parameter WD distribution method is used for evaluation and enabling the conduct of a goodness-of-fitness test. The KM estimate survival curve, hazard curve, and CDF curve calculate the event probability with respect to time. Results The proposed Weibull distribution alternative model in order to analyze the reliability evaluation for EHR software product statistics for its frequency against the cumulative percentage. Compare and contrast the various distributions fit (Lognorm, Gamma, Beta models) in order to evaluate survival analysis, our results show the CI bounds on time is 95% confidence WD-CDF. Conclusions Our experimental results perform well for Beta-Weibull distribution data. SF decreases while SHF increases over being a time period.