Abstract: A method of ventilator control that includes receiving machine data from a mechanical ventilator and detecting one or more clinical events in the received machine data. The method further includes evaluating the machine data within the detected one or more clinical events for compliance with lung protective ventilation (LPV) recommendations. The method further includes at least one of producing a visual indication or a graphical display of the evaluated compliance with the LPV recommendations and controlling the mechanical ventilator based on the evaluated compliance with the LPV recommendations.

Abstract: A system for monitoring room use in a medical facility. The system includes medical devices having sensors that produce machine data corresponding to operation of that medical device. A central processing module analyzes the machine data to identify portions corresponding to clinical cases via at least one of: detecting changes in operational status within the medical devices, detecting changes to devices settings within the medical devices, and detecting a delivery or consumption of anesthetic agent by the medical devices. The central processing module further analyzes the identified portions of the machine data corresponding to the clinical cases to identify procedural events, then automatically determines a current use status for the monitored rooms based on the procedural events identified. A display device communicates with the central processing module and displays the current use status determined for each of the monitored rooms.

Abstract: A system for processing medical device data can include a processor to receive a plurality of streaming time series of medical device data from medical devices, wherein the medical device data comprises machine data. The processor can also apply a plurality of case identification rules to the plurality of streaming time series of medical device data to identify portions of the plurality of streaming time series of medical device data representing clinical cases. The processor can also execute streaming analytics to apply a plurality of event detection rules to the portions of the plurality streaming time series of medical device data to identify events within each identified clinical case. The processor can generate one or more groups for the identified events based upon predefined recipients of notifications for the identified events and transmit event notifications for each of the identified events to the predefined recipients.

Abstract: Systems and methods of control of a mechanical ventilator include receiving machine data from a mechanical ventilator. A surgical event is detected in the received machine data. Clinical events within the surgical event are detected in the machine data. The machine data and the detected plurality of clinical events are evaluated for compliance with lung protective ventilation recommendations.

Abstract: A method of monitoring a patient with respect to a particular medical condition includes providing a machine learning model trained to assign a weight to each of a predefined set of features so as to calculate a risk severity index of a particular medical condition. A long time interval of time-synchronized parameter data is received for each of at least two physiological parameters, and the long time interval is divided into multiple segments each containing a predefined time increment of the parameter data. A set of feature values are determined for the segment based on the parameter data therein, including a feature value for each of the predefined set of features related to the particular medical condition. With the trained machine learning model, assigning a weight to each of the predefined set of features, and then a risk severity index of the particular medical condition is calculated for the long time interval based on the set of feature values.

Abstract: Systems and methods of control of a mechanical ventilator include receiving machine data from a mechanical ventilator. A surgical event is detected in the received machine data. Clinical events within the surgical event are detected in the machine data. The machine data and the detected plurality of clinical events are evaluated for compliance with lung protective ventilation recommendations.

Abstract: Systems and methods of managing maintenance for a plurality of monitored medical devices include receiving streaming time series medical device data from the plurality of monitored medical devices. The streaming time series medical device data is analyzed to determine an operational status of a component of a medical device of the plurality of monitored medical devices. A maintenance procedure for the medical device is determined from the operational status of the component of the medical device.

Abstract: A use status of a medical facility is monitored in a method. Streaming time series of medical device data are received from a plurality of medical devices. The plurality of medical devices are each located in monitored rooms of the medical facility. The streaming time series of medical device data is analyzed to detect procedural events in the time series medical device data. A current use status of each of the plurality of monitored rooms of the medical facility is determined from the detected procedural events.

Abstract: Systems and methods of control of a mechanical ventilator include receiving machine data from a mechanical ventilator. A surgical event is detected in the received machine data. Clinical events within the surgical event are detected in the machine data. The machine data and the detected plurality of clinical events are evaluated for compliance with lung protective ventilation recommendations.

Abstract: Systems and methods of processing medical device data include receiving streaming time series medical device data. Streaming analytics are applied to the time series medical device data. Streaming analytics identify clinical cases in the streaming time series medical device data. Streaming analytics identify events in the medical device data. An event notifier receives the identified events from the streaming time series medical device data and groups the identified events into notification groups. The event notifications are transmitted for each of the identified events to recipients in the notification groups across communication platforms associated with each of the notification groups.

Abstract: Methods and apparatus to enhance queries in an affinity domain are disclosed herein. An example method of providing a query service in an affinity domain includes receiving a query including one or more template identifiers that indicate conformance with a standard related to content of a document; generating an expression including the one or more template identifiers to define a search of a registry; performing the search of the registry according to the expression, wherein the search is configured to identify documents including the one or more template identifiers; and conveying the identified documents to an entity associated with the query.

Abstract: Methods and apparatus to enhance queries in an affinity domain are disclosed herein. An example method of providing a query service in an affinity domain includes receiving a query including one or more template identifiers that indicate conformance with a standard related to content of a document; generating an expression including the one or more template identifiers to define a search of a registry; performing the search of the registry according to the expression, wherein the search is configured to identify documents including the one or more template identifiers; and conveying the identified documents to an entity associated with the query.

Abstract: Methods and apparatus to enhance queries in an affinity domain are disclosed herein. An example method of providing a query service in an affinity domain includes receiving a query including one or more template identifiers that indicate conformance with a standard related to content of a document; generating an expression including the one or more template identifiers to define a search of a registry; performing the search of the registry according to the expression, wherein the search is configured to identify documents including the one or more template identifiers; and conveying the identified documents to an entity associated with the query.

Abstract: Methods and apparatus to enhance queries in an affinity domain are disclosed herein. An example method of providing a query service in an affinity domain includes receiving a query including one or more template identifiers that indicate conformance with a standard related to content of a document; generating an expression including the one or more template identifiers to define a search of a registry; performing the search of the registry according to the expression, wherein the search is configured to identify documents including the one or more template identifiers; and conveying the identified documents to an entity associated with the query.