Abstract: The present disclosure provides a method including receiving a target object for detection and a predetermined area in which the target object is to be detected. The predetermined area is associated with a plurality of content capturing devices. The target object is detected within one or more frames of video data. Responsive to detecting the target object, detection data is determined, including: a particular content capturing device associated with the one or more frames of video data, a location of the particular content capturing device, a time at which the one or more frames were captured, and/or weather data associated with the geolocation of the particular content capture device at the time. The present detection data is provided to an Artificial Intelligence model to predict a next geolocation at which the target object is likely to be detected and/or a timeframe for detection of the target object.

Abstract: The present disclosure provides a method comprising: receiving an input of a geolocation for detection of one or more target objects within an area; retrieving data related to the one or more target objects from a historical detection module, the historical detection module having performed the following: analysis of a plurality of content streams for a plurality of target objects, detection of the plurality of target objects within one or more frames of the plurality of content streams within the predetermined area, and storage of data related to the detected plurality of target objects, aggregating the retrieved data related to the one or more target objects with the following: weather information of the predetermined area, and locational orientation of the user; and predicting, based on the aggregated data, one or more predictions of the geolocation and timeframe for detection of the one or more target objects within the predetermined area.

Abstract: The present disclosure provides a method for target identification and scoring, the method comprising: detecting an object within one or more frames of a content stream; deriving one or more images of the object from the content stream; normalizing the one or more images; processing the normalized one or more images to determine a species of the object; identifying an Artificial Intelligence (“AI”) module corresponding to the species of the object; virtually regenerating the object based on the following: the species of the object, the normalized one or more images, and one or more of the following: physical orientation of the object, time of object detection, and illumination of the object; providing the regenerated object to the AI module configured to perform object recognition; receiving an identification of the object from the AI module; and updating an object profile with object identification data.

Abstract: An intelligent target object detection and alerting platform may be provided. The platform may receive a content stream from a content source. A target object may be designated for detection within the content stream. A target object profile associated with the designated target object may be retrieved from a database of learned target object profiles. The learned target object profiles may be associated with target objects that have been trained for detection. At least one frame associated with the content stream may be analyzed to detect the designated target object. The analysis may comprise employing a neural net, for example, to detect each target object within each frame. A parameter for communicating target object detection data may be specified. In turn, when the parameter is met, the detection data may be communicated.

Abstract: The present disclosure provides a method comprising: receiving an input of a geolocation for detection of one or more target objects within an area; retrieving data related to the one or more target objects from a historical detection module, the historical detection module having performed the following: analysis of a plurality of content streams for a plurality of target objects, detection of the plurality of target objects within one or more frames of the plurality of content streams within the predetermined area, and storage of data related to the detected plurality of target objects, aggregating the retrieved data related to the one or more target objects with the following: weather information of the predetermined area, and locational orientation of the user; and predicting, based on the aggregated data, one or more predictions of the geolocation and timeframe for detection of the one or more target objects within the predetermined area.

Abstract: An intelligent target object detection and alerting platform may be provided. The platform may receive a content stream from a content source. A target object may be designated for detection within the content stream. A target object profile associated with the designated target object may be retrieved from a database of learned target object profiles. The learned target object profiles may be associated with target objects that have been trained for detection. At least one frame associated with the content stream may be analyzed to detect the designated target object. The analysis may comprise employing a neural net, for example, to detect each target object within each frame. A parameter for communicating target object detection data may be specified. In turn, when the parameter is met, the detection data may be communicated.

Abstract: An intelligent target object detection and alerting platform may be provided. The platform may receive a content stream from a content source. A target object may be designated for detection within the content stream. A target object profile associated with the designated target object may be retrieved from a database of learned target object profiles. The learned target object profiles may be associated with target objects that have been trained for detection. At least one frame associated with the content stream may be analyzed to detect the designated target object. The analysis may comprise employing a neural net, for example, to detect each target object within each frame. A parameter for communicating target object detection data may be specified. In turn, when the parameter is met, the detection data may be communicated.

Abstract: An intelligent target object detection and alerting platform may be provided. The platform may receive a content stream from a content source. A target object may be designated for detection within the content stream. A target object profile associated with the designated target object may be retrieved from a database of learned target object profiles. The learned target object profiles may be associated with target objects that have been trained for detection. At least one frame associated with the content stream may be analyzed to detect the designated target object. The analysis may comprise employing a neural net, for example, to detect each target object within each frame. A parameter for communicating target object detection data may be specified. In turn, when the parameter is met, the detection data may be communicated.

Abstract: An intelligent target object detection and alerting platform may be provided. The platform may receive a content stream from a content source. A target object may be designated for detection within the content stream. A target object profile associated with the designated target object may be retrieved from a database of learned target object profiles. The learned target object profiles may be associated with target objects that have been trained for detection. At least one frame associated with the content stream may be analyzed to detect the designated target object. The analysis may comprise employing a neural net, for example, to detect each target object within each frame. A parameter for communicating target object detection data may be specified. In turn, when the parameter is met, the detection data may be communicated.

Abstract: An intelligent target object detection and alerting platform may be provided. The platform may receive a content stream from a content source. A target object may be designated for detection within the content stream. A target object profile associated with the designated target object may be retrieved from a database of learned target object profiles. The learned target object profiles may be associated with target objects that have been trained for detection. At least one frame associated with the content stream may be analyzed to detect the designated target object. The analysis may comprise employing a neural net, for example, to detect each target object within each frame. A parameter for communicating target object detection data may be specified. In turn, when the parameter is met, the detection data may be communicated.

Abstract: An integrated medical software system with location-driven bill coding is disclosed.

Abstract: An integrated medical software system with embedded transcription functionality, and a method of using that system, is disclosed. The system includes a clinical software module that is configured to be executed by a processor to create an electronic document and to capture clinical data for a patient in the electronic document during an encounter with the patient. The system also includes a transcription software application that is configured to be executed by the processor to select predefined clinical data that will appear within the electronic document in response to speech commands and to automatically transcribe dictated clinical data that will appear within the electronic document in response to dictation, wherein the predefined clinical data being previously linked to at least one of a diagnosis code and a procedure code and the dictated clinical data being automatically linked to at least one of a diagnosis code and a procedure code as it is transcribed.

Abstract: A remote labor and delivery service project provides details captured from one or more encounters. Essentially, it is the assembly of records aggregated over the course of the duration of the patient's visits but viewable remotely by a secure portal. The Labor and Delivery user will be able to select a patient from a group of pregnant women and select a specific pregnant patient. In some embodiments, the provider will be able to view the patient's prenatal flow sheets, prenatal lab, and antepartum summary.

Abstract: A system and method of for analyzing, collecting, and tracking patient data across a vast patient population is disclosed. The system and method comprise a plurality of Electronic Health Record (EHR) systems provided at a plurality of healthcare provider sites, each EHR system comprising at least one means for capturing data for a plurality of patients in real time; at least one research system for generating a dataset by performing at least one of analyzing, collecting, and tracking the data captured by the plurality of EHR systems in real time as the data is captured or from a database on which the captured data is stored; and at least one workstation for setting the criteria by which the research system analyzes, collects and tracks the data captured by the plurality of EHR systems and for viewing the dataset generated by the at least one research system, wherein the dataset includes the data that corresponds to each of the criteria set at the workstation.

Abstract: A system and method for performing medical research over an extended computer network is disclosed. The system and method comprise a plurality of Electronic Health Record (EHR) systems configured to capture patient data for a plurality of general patients at a plurality of corresponding healthcare provider sites during encounters with those patients, a research system configured to generate one or more electronic documents for completion with patient data that is related to the medical research, and an enhanced services server built on the same architecture as the plurality of EHR systems, wherein the one or more electronic documents include one or more first fields and one or more second fields for completion with patient data that is related to the medical research and the enhanced services server is in electronic data communication with the plurality of EHR systems and the one or more research systems via a network connection.

Abstract: A system and method for recruiting participants for medical research over an extended computer network is disclosed.

Abstract: A system and method for gathering quality data for a plurality of healthcare providers over an extended computer network is disclosed. The system and method comprise an enhanced services server in electronic data communication with a plurality of Electronic Health Record (EHR) systems via a network connection, the plurality of EHR systems being configured to capture patient data for a plurality of patients at the plurality of healthcare providers' sites during a plurality of encounters with each of the plurality of patients, and the enhanced services server being built on the same architecture as the plurality of EHR systems. Electronic quality of care forms are retrieved from one or more form managers via the network connection and a plurality of fields in each of the electronic quality of care forms are automatically populated using the patient data captured by the plurality of EHR systems.

Abstract: A system and method for gathering quality data for a plurality of healthcare providers over an extended computer network is disclosed. The system and method comprise an enhanced services server in electronic data communication with a plurality of Electronic Health Record (EHR) systems via a network connection, the plurality of EHR systems being configured to capture patient data for a plurality of patients at the plurality of healthcare providers' sites during a plurality of encounters with each of the plurality of patients, and the enhanced services server being built on the same architecture as the plurality of EHR systems. Electronic quality of care forms are retrieved from one or more form managers via the network connection and a plurality of fields in each of the electronic quality of care forms are automatically populated using the patient data captured by the plurality of EHR systems.

Abstract: Users can use a portal for remote monitoring of clinical trials and the sites, personnel, and patients involved. A scheduling function allows users to schedule access. Site sponsors can run productivity reports.

Abstract: The present invention allows a physician to interact with an integrated medical software system, using a handheld device such as an iPhone, iPad, or iPod Touch. A physician can log on using the handheld device and access the system to view and edit data.