Abstract: A waveform annotator system allows clinicians to annotate a physiological data waveform, providing initial annotations based on a model corresponding to a type of the physiological data. The initial annotations may be modified by the clinician as desired. The annotations are saved in an annotation database for later use by the clinician and for training the model using machine learning to improve the initial annotations based on the modifications made by the clinician. The trained model may be distributed to other waveform annotator systems.

Abstract: A user interface for clinical personnel provides selectable views of a plurality of medical risk scores. Questions whose answers are needed for calculation of those risk scores are asked in a question and answer area of the user interface, which allows some questions to be answered based on real time patient physiological data streams that are overridable by user provided answers. Where multiple risk score calculations require answers to the same question, the user provided answer may be supplied as an answer to the corresponding question for each risk score, rather than requiring the user to answer multiple times. Sparklines may be provided with the displayed risk scores to show trends in the risk score values, and may be updated in real time based on real time physiological data streams. The display of risk scores may visually distinguish between risk scores that have been validated and those are based on unvalidated answers to the questions.

Abstract: A waveform annotator system allows clinicians to annotate a physiological data waveform, providing initial annotations based on a model corresponding to a type of the physiological data. The initial annotations may be modified by the clinician as desired. The annotations are saved in an annotation database for later use by the clinician and for training the model using machine learning to improve the initial annotations based on the modifications made by the clinician. The trained model may be distributed to other waveform annotator systems.

Abstract: A user interface for clinical personnel provides selectable views of a plurality of medical risk scores. Questions whose answers are needed for calculation of those risk scores are asked in a question and answer area of the user interface, which allows some questions to be answered based on real time patient physiological data streams that are overridable by user provided answers. Where multiple risk score calculations require answers to the same question, the user provided answer may be supplied as an answer to the corresponding question for each risk score, rather than requiring the user to answer multiple times. Sparklines may be provided with the displayed risk scores to show trends in the risk score values, and may be updated in real time based on real time physiological data streams. The display of risk scores may visually distinguish between risk scores that have been validated and those are based on unvalidated answers to the questions.

Abstract: A configurable web-based user interface allows a clinical staff person to monitor real-time or near real-time patient data for selected multiple patients. The clinical staff person may select which patients to include in the user interface, which may be patients in more than one facility. The clinical staff person may also configure the user interface to display vital signs and other physiological data, including computed indices, as desired. Embodiments allow the clinical staff person to select a patient of interest and instantiate another monitor for that selected patient to display real-time or historical data as desired.

Abstract: A user interface allows clinical personnel to view predictive risk indices and related physiological data. When a risk index indicates a dangerous condition, the user interface may generate an alarm for routing to an appropriate caregiver. In addition to displaying patient-specific data, comparisons may be provided between the patient and a patient population for those signals, allowing easy recognition of deviations from the norm for the patient population.

Abstract: A graphical user interface of a medical patient monitoring system allows clinical personnel to view and manipulate historical patient data in ways not available in traditional patient monitoring systems. The graphical user interface allows zooming in or out on the historical patient data, with a format of the data adjusted at certain zoom levels. A plurality of lanes of displayed historical patient data may be displayed in the graphical user interface, and a plurality of signals may be displayed in a single lane. An electrocardiogram strip view may be enabled to present historical patient data in the form of a traditional strip view if desired.