Abstract: Provided are methods of delivering decision support systems (DSSs) to healthcare providers, patients, and/or consumers with or without integrated electronic health records (EHRs) for reproductive care and other health conditions. The DSS platforms of the present invention include predication models based upon de-identified data sets and customized algorithms that may be clinic specific, region specific, and/or population specific. The DSS platforms of the present invention also include methods of providing third party payments of an individual's medical bills, wherein the third party is not capable of viewing the personal health identifiers of the individual.

Abstract: Provided is a method for generating prediction models from multiple healthcare centers. The method allows a third party to use data sets from multiple sources to build prediction models. By entering the data sets in a Model Deconstruction and Transfer (MDT) platform, a healthcare center may provide data to a third party without the need to de-identify data or to physically transfer any identifying or de-identified data from the healthcare center. The MDT platform includes a variable library, which allows the healthcare center to select variables that will be used to generate and validate the prediction model. Also provided is a method for compensating sources that contribute data sets based upon the percentage of clinical data that is used to generate a prediction model.

Abstract: A system including (A) an interactive digital profiling questionnaire directed to a health consumer, wherein the questions relate to a health status or condition of the consumer; (B) a consumer health profile that includes a data presentation software application with pre-defined sections, wherein the consumer's answers from the interactive digital questionnaire are entered as health data into the pre-defined sections of the data presentation software application; and (C) a digital personalized health guide for delivery to the consumer that includes logic programs, a concatenation function, and pre-defined topical categories, wherein the logic programs and the concatenation function retrieve health data from the consumer health profile and organize the health data into the pre-defined topical categories.

Abstract: Provided is a multiple birth prognostic tool that is used to analyze data in order to predict a multiple birth event in a female human patient undergoing an infertility treatment. The MBP prognostic tool may also be used to enhance the accuracy of diagnostic or prognostic tests that predict embryo viability. The MBP prognostic tool of the present invention may be clinic specific or it may be modified to be used in a multi-clinic approach.

Abstract: Provided herein are methods and systems for implementation and delivery of cost comparisons for medical treatment plans. Included are methods and systems of delivering cost comparison to consumers on a plurality of medical treatments offered by the same medical provider or a plurality of medical treatments offered by a plurality of medical providers with or without analyzing the impact of insurance coverage, payment by cash, credit card, loans, and loan and repayment terms. Also included are methods and systems for matching consumers with medical providers based on cost, financing, consumer characteristics, medical provider attributes, and diagnostic and prognostic criteria.

Abstract: Provided is a method for generating prediction models from multiple healthcare centers. The method allows a third party to use data sets from multiple sources to build prediction models. By entering the data sets in a Model Deconstruction and Transfer (MDT) platform, a healthcare center may provide data to a third party without the need to de-identify data or to physically transfer any identifying or de-identified data from the healthcare center. The MDT platform includes a variable library, which allows the healthcare center to select variables that will be used to generate and validate the prediction model. Also provided is a method for compensating sources that contribute data sets based upon the percentage of clinical data that is used to generate a prediction model.

Abstract: Provided is a multiple birth prognostic tool that is used to analyze data in order to predict a multiple birth event in a female human patient undergoing an infertility treatment. The MBP prognostic tool may also be used to enhance the accuracy of diagnostic or prognostic tests that predict embryo viability. The MBP prognostic tool of the present invention may be clinic specific or it may be modified to be used in a multi-clinic approach.

Abstract: Provided are methods of delivering decision support systems (DSSs) to healthcare providers, patients, and/or consumers with or without integrated electronic health records (EHRs) for reproductive care and other health conditions. The DSS platforms of the present invention include predication models based upon de-identified data sets and customized algorithms that may be clinic specific, region specific, and/or population specific. The DSS platforms of the present invention also include methods of providing third party payments of an individual's medical bills, wherein the third party is not capable of viewing the personal health identifiers of the individual.