Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on non-transitory computer readable storage media, for integrating with an electronic health record system to permit healthcare providers, health insurance companies, and healthcare analytics providers to manage healthcare gaps in real-time.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.