A method of generating a prediction model for a health outcome of interest, wherein the health outcome of interest is a predicted probability of having an intrauterine pregnancy outcome after intrauterine insemination, IUI, treatment for individuals and couples that have not been able to conceive naturally, comprising the steps of: establishing, by a company, in order to develop a decision support tool serving diverse populations, a product development arrangement with five fertility clinics that collectively serve a diverse population in a country; providing, by the company, a Model Deconstruction and Transfer, MDT, platform on an external hard drive along with instructions, to each of the five fertility clinics, wherein each MDT is designed to build prediction models for a specific clinical outcome or set of clinical outcomes; wherein each MDT includes a variable library, VL, the variable library allowing the fertility clinics to select variables that will be used to generate and validate the prediction model, and wherein each fertility clinic runs the MDT platform on-site; preparing, by each fertility clinic, a dataset relevant to the health outcome of interest, in a spreadsheet format, that contains data pertaining to variables listed in the MDT's VL, and entering the prepared dataset into the MDT platform; selecting, by each fertility clinic, variables from the VL that are relevant to the health outcome of interest; generating a prediction model, PM0, for each fertility clinic from the MDT platform, wherein the at least one PM0 is based upon the selected variables; upon completion of the MDT execution, automatically destroying the dataset in each MDT and showing a message confirming destruction, such that after the destruction of the data set each MDT and each external hard drive contains the PM0 relating to the success of intrauterine insemination treatments specific to the respective fertility clinic and the PM0s do not contain any raw data or identifiers; receiving, by the company, the five MDT platforms and the external hard drives from each of the five fertility clinics; downloading the PM0 from each MDT platform to the company's secure server; reviewing, by the company, the performance of each PM0, according to statistical tests that are determined a priori, such that based upon the performance of the PM0, the company is able to advise each fertility clinic on how to use the PM0 to provide their patients with information regarding the success rate of intrauterine insemination treatments in their clinic. establishing, by a company, in order to develop a decision support tool serving diverse populations, a product development arrangement with five fertility clinics that collectively serve a diverse population in a country; providing, by the company, a Model Deconstruction and Transfer, MDT, platform on an external hard drive along with instructions, to each of the five fertility clinics, wherein each MDT is designed to build prediction models for a specific clinical outcome or set of clinical outcomes; wherein each MDT includes a variable library, VL, the variable library allowing the fertility clinics to select variables that will be used to generate and validate the prediction model, and wherein each fertility clinic runs the MDT platform on-site; preparing, by each fertility clinic, a dataset relevant to the health outcome of interest, in a spreadsheet format, that contains data pertaining to variables listed in the MDT's VL, and entering the prepared dataset into the MDT platform; selecting, by each fertility clinic, variables from the VL that are relevant to the health outcome of interest; generating a prediction model, PM0, for each fertility clinic from the MDT platform, wherein the at least one PM0 is based upon the selected variables; upon completion of the MDT execution, automatically destroying the dataset in each MDT and showing a message confirming destruction, such that after the destruction of the data set each MDT and each external hard drive contains the PM0 relating to the success of intrauterine insemination treatments specific to the respective fertility clinic and the PM0s do not contain any raw data or identifiers; receiving, by the company, the five MDT platforms and the external hard drives from each of the five fertility clinics; downloading the PM0 from each MDT platform to the company's secure server; reviewing, by the company, the performance of each PM0, according to statistical tests that are determined a priori, such that based upon the performance of the PM0, the company is able to advise each fertility clinic on how to use the PM0 to provide their patients with information regarding the success rate of intrauterine insemination treatments in their clinic.