Abstract: There is provided a method of computing computed pathological indication(s), comprising: receiving an indication of values of current laboratory test results calculated based on an automated analysis of laboratory sample(s) collected from a target individual, selecting classifier(s) according to an analysis of the indication of values of the current laboratory test results, determining additional laboratory test(s) according to the analysis of the indication of values of the current laboratory test results and/or the selected classifier(s), generating instructions for automatic execution of second automatic laboratory testing device(s) on the laboratory sample(s) to obtain a second indication of a second value of the additional laboratory test(s), and evaluating computed pathological indication(s) by applying the selected classifier(s) to the indication of values of the current laboratory test results and the second indication of the second value of the additional laboratory test result(s).

Abstract: There is provided a method of computing computed pathological indication(s), comprising: receiving an indication of values of current laboratory test results calculated based on an automated analysis of laboratory sample(s) collected from a target individual, selecting classifier(s) according to an analysis of the indication of values of the current laboratory test results, determining additional laboratory test(s) according to the analysis of the indication of values of the current laboratory test results and/or the selected classifier(s), generating instructions for automatic execution of second automatic laboratory testing device(s) on the laboratory sample(s) to obtain a second indication of a second value of the additional laboratory test(s), and evaluating computed pathological indication(s) by applying the selected classifier(s) to the indication of values of the current laboratory test results and the second indication of the second value of the additional laboratory test result(s).

Abstract: The invention provides a computer system and method for managing a user's health. The invention provides a user with a health plan comprising executable actionable tasks. The health plan is selected for the user according to predefined criteria. Users are given incentives for execution of the tasks of the health plan. The software of the invention receives medical data pertaining to a user, analyzes the medical data and displays the analysis of the medical data in a highly visual display. In one embodiment, medical data is displayed on a color-coded gauge indicating desirability of the medical data, and brief textual messages are provided in layman's terms to indicate any necessary follow-up. The invention may be provided as a website, or as a software application for use on a user's personal electronic device.

Abstract: System and method for analyzing health related data associated with a patient, comprising: an expert's station; a health database comprising health related data of patients; a wizard application, enabling the expert to create a template of commands for analyzing the health related data of the patient according to the expert's school of method, using a generic model associated with the expert's field of expertise, where the analysis calculates health related profile of the patient; a templates database comprising templates of commands created by experts; a generic models database, enabling the wizard to retrieve and store a generic model associated with the expert's field of expertise; and a main server for using the template of commands to analyze the health data of a patient, according to the analysis method of the expert, by operating the commands in the template for calculating health related profile of the patient.

Abstract: System and method for analyzing health related data associated with a patient, comprising: an expert's station; a health database comprising health related data of patients; a wizard application, enabling the expert to create a template of commands for analyzing the health related data of the patient according to the expert's school of method, using a generic model associated with the expert's field of expertise, where the analysis calculates health related profile of the patient; a templates database comprising templates of commands created by experts; a generic models database, enabling the wizard to retrieve and store a generic model associated with the expert's field of expertise; and a main server for using the template of commands to analyze the health data of a patient, according to the analysis method of the expert, by operating the commands in the template for calculating health related profile of the patient.