Abstract: An example method includes storing healthcare information related to a patient on the cloud-based clinical information system and determining if a first local information system of a first healthcare entity includes a first existing patient record associated with the patient. The example method also includes communicating a first command from the cloud-based clinical information system to an edge device located at a facility associated with the first healthcare entity and in communication with the first local information system. The edge device is to automatically attach a first portion of the healthcare information to the first existing patient record if the first local information system includes the first existing patient record or automatically generate a first new patient record to be populated by the first portion of the healthcare information if the first local information system does not include the first existing patient record based on the first command.

Abstract: Systems, methods, and computer readable storage mediums for performing sensor health monitoring are described. The method includes verifying data quality and suppressing alert generation using machine learning techniques to identify whether two anomalies generated by an asset monitoring system are related. The method can include receiving data characterizing measurement data acquired by a sensor coupled to an industrial asset. An anomalous data sample within the received data can be identified and removed from the anomalous data sample. A new sample of the removed data sample can be estimated using interpolation and the new sample can be assessed. Maintenance analysis can be performed based on the assessed, estimated new sample.

Abstract: An example method includes monitoring healthcare information employed by a local information system of a first healthcare entity via an edge device located at a facility of the first healthcare entity and in communication with a local information system. The edge device is to implement a local cloud system. The local cloud system is to be accessible by only the first healthcare entity and healthcare entities affiliated with the first healthcare entity. The example method also includes determining if the healthcare information has a first characteristic via the edge device, determining if the healthcare information has a second characteristic via the edge device, and automatically uploading the healthcare information onto the local cloud system if the healthcare information has the first characteristic. The example method also includes automatically uploading the healthcare information onto a remote cloud system if the healthcare information has the second characteristic.

Abstract: A monitoring system can include a dashboard including a graphical user interface display space. The monitoring system can also include a digital twin validation (DTV) system. The DTV system can be configured to perform operations including rendering, in the graphical user interface display space, a visual representation of an output value of a digital model of an oil and gas industrial machine, and an interactive graphical object characterizing an input value of the digital model. The operations can also include receiving data characterizing user interaction with the interactive graphical object. The data characterizes the user interaction indicative of the input value of the digital model. The operations can also include updating the digital model to generate an updated output value representative of an operational characteristic of the oil and gas industrial machine.

Abstract: Systems, methods, and computer readable storage mediums for performing sensor health monitoring are described. The method includes verifying data quality and suppressing alert generation using machine learning techniques to identify whether two anomalies generated by an asset monitoring system are related. The method can include receiving data characterizing measurement data acquired by a sensor coupled to an industrial asset. An anomalous data sample within the received data can be identified and removed from the anomalous data sample. A new sample of the removed data sample can be estimated using interpolation and the new sample can be assessed. Maintenance analysis can be performed based on the assessed, estimated new sample.

Abstract: Cloud-based clinical information system apparatus and associated methods are disclosed. An example cloud-based clinical information system includes a processor to receive a referral order including trauma case information for a first patient from a first local information system of a first healthcare entity to refer the first patient to a second healthcare entity, the referral order to include a portion of the first patient's information from the first local information system. The cloud-based clinical information system is to notify the second healthcare entity of the referral and provide a second local information system of the second healthcare entity with the referral order. The second local information system of the second healthcare entity is to process the referral order and accept or reject the referral order from the first local information system via the cloud-based clinical information system.

Abstract: A monitoring system can include a dashboard including a graphical user interface display space. The monitoring system can also include a digital twin validation (DTV) system. The DTV system can be configured to perform operations including rendering, in the graphical user interface display space, a visual representation of an output value of a digital model of an oil and gas industrial machine, and an interactive graphical object characterizing an input value of the digital model. The operations can also include receiving data characterizing user interaction with the interactive graphical object. The data characterizes the user interaction indicative of the input value of the digital model. The operations can also include updating the digital model to generate an updated output value representative of an operational characteristic of the oil and gas industrial machine.

Abstract: An example method includes storing healthcare information related to a patient on the cloud-based clinical information system and determining if a first local information system of a first healthcare entity includes a first existing patient record associated with the patient. The example method also includes communicating a first command from the cloud-based clinical information system to an edge device located at a facility associated with the first healthcare entity and in communication with the first local information system. The edge device is to automatically attach a first portion of the healthcare information to the first existing patient record if the first local information system includes the first existing patient record or automatically generate a first new patient record to be populated by the first portion of the healthcare information if the first local information system does not include the first existing patient record based on the first command.

Abstract: An example method includes monitoring healthcare information employed by a local information system of a first healthcare entity via an edge device located at a facility of the first healthcare entity and in communication with a local information system. The edge device is to implement a local cloud system. The local cloud system is to be accessible by only the first healthcare entity and healthcare entities affiliated with the first healthcare entity. The example method also includes determining if the healthcare information has a first characteristic via the edge device, determining if the healthcare information has a second characteristic via the edge device, and automatically uploading the healthcare information onto the local cloud system if the healthcare information has the first characteristic. The example method also includes automatically uploading the healthcare information onto a remote cloud system if the healthcare information has the second characteristic.

Abstract: An example method includes receiving patient information in a cloud-based clinical information system from a first healthcare entity registered with the cloud-based clinical information system as a first entity type of a plurality of hierarchically organized entity types. The example method also includes storing a contractual agreement between the first healthcare entity and a second healthcare entity in the cloud-based clinical information system. The second healthcare entity is registered with the cloud-based clinical information as a second entity type of the plurality of entity types. The example method further includes enabling the second healthcare entity to access the patient information from the cloud-based clinical information system based on first access rules for the second healthcare entity.

Abstract: An example method includes storing healthcare information related to a patient on the cloud-based clinical information system and determining if a first local information system of a first healthcare entity includes a first existing patient record associated with the patient. The example method also includes communicating a first command from the cloud-based clinical information system to an edge device located at a facility associated with the first healthcare entity and in communication with the first local information system. The edge device is to automatically attach a first portion of the healthcare information to the first existing patient record if the first local information system includes the first existing patient record or automatically generate a first new patient record to be populated by the first portion of the healthcare information if the first local information system does not include the first existing patient record based on the first command.

Abstract: An example method includes monitoring healthcare information employed by a local information system of a first healthcare entity via an edge device located at a facility of the first healthcare entity and in communication with a local information system. The edge device is to implement a local cloud system. The local cloud system is to be accessible by only the first healthcare entity and healthcare entities affiliated with the first healthcare entity. The example method also includes determining if the healthcare information has a first characteristic via the edge device, determining if the healthcare information has a second characteristic via the edge device, and automatically uploading the healthcare information onto the local cloud system if the healthcare information has the first characteristic. The example method also includes automatically uploading the healthcare information onto a remote cloud system if the healthcare information has the second characteristic.

Abstract: An example method includes monitoring healthcare information employed by a local information system of a first healthcare entity via an edge device located at a facility of the first healthcare entity and in communication with a local information system. The edge device is to implement a local cloud system. The local cloud system is to be accessible by only the first healthcare entity and healthcare entities affiliated with the first healthcare entity. The example method also includes determining if the healthcare information has a first characteristic via the edge device, determining if the healthcare information has a second characteristic via the edge device, and automatically uploading the healthcare information onto the local cloud system if the healthcare information has the first characteristic. The example method also includes automatically uploading the healthcare information onto a remote cloud system if the healthcare information has the second characteristic.

Abstract: An example method includes storing healthcare information related to a patient on the cloud-based clinical information system and determining if a first local information system of a first healthcare entity includes a first existing patient record associated with the patient. The example method also includes communicating a first command from the cloud-based clinical information system to an edge device located at a facility associated with the first healthcare entity and in communication with the first local information system. The edge device is to automatically attach a first portion of the healthcare information to the first existing patient record if the first local information system includes the first existing patient record or automatically generate a first new patient record to be populated by the first portion of the healthcare information if the first local information system does not include the first existing patient record based on the first command.

Abstract: An example method includes receiving patient information in a cloud-based clinical information system from a first healthcare entity registered with the cloud-based clinical information system as a first entity type of a plurality of hierarchically organized entity types. The example method also includes storing a contractual agreement between the first healthcare entity and a second healthcare entity in the cloud-based clinical information system. The second healthcare entity is registered with the cloud-based clinical information as a second entity type of the plurality of entity types. The example method further includes enabling the second healthcare entity to access the patient information from the cloud-based clinical information system based on first access rules for the second healthcare entity.

Abstract: A distributed medical diagnostic system is implemented using one or more first computers that execute one or more instances of a first medical diagnostic system software module and one or more second computers that execute one or more instances of a second medical diagnostic system software module. The first and second medical diagnostic system software modules are members of a system software set (including any number of such system software modules) that implements any chosen medical diagnostic system. One or more communication links are present to provide communication between the system software modules that exchange data.