Abstract: Described herein are techniques for automatically substituting information into orders generated by a data record system prior to persisting the orders in storage of the data record system. The techniques store substitution groups of data entities that store data associated with respective substances (e.g., medications). When order templates (e.g., medication regiments) are generated by the data record system, the techniques automatically modify the order templates (e.g., by substituting data entities in the orders) based on data entity substitution configurations of the substitution groups. Information from the modified order templates is input into orders before the orders are persisted in storage of the data record system.

Abstract: Described herein are methods and systems for receiving electronic messages comprising laboratory results and associating the laboratory results with appropriate laboratory result identifiers to generate mapped laboratory results. The mapped laboratory results may be used to inform clinical patient treatment and/or clinical trial design or performance.

Abstract: Retirement planning for a person is performed. For each of each class of assets, the income, and the expenses of the person, an analysis is employed that produces a probabilistic distribution of possible future values therefor, and based on each produced distribution derives a respective best case future value, a worst case future value, and a median case future value. Each analysis is conducted by compiling a collection of historical values, performing multiple scenarios based on random inputs to calculate expected future values for each of several particular future periods of time, deriving a probabilistic distribution with distribution values relating to projected future value for each period of time, and deriving a best case future value, a worst case future value, and a median case future value from each probabilistic distribution.