A computer-implemented patient monitoring system includes a patient data monitoring system on a first computing system, including a patient medical data query engine configured to generate one or more rule execution requests. The monitoring system further includes a network circuit communicating with the medical database system and one or more remote patient care computing devices. The remote care computing devices in turn include a patient medical data repository and a query response engine configured to respond to received rule execution requests. Responding to rule execution requests includes verifying the validity of a rule execution request, identifying data in the patient medical data repository responsive to the rule execution request, and transmitting response patient medical data responsive to the rule execution request.

Constructive layout in a container, to provide clean areas for medical and hospital care, such as fractionation of solid and liquid oral drugs (ISO8) and handling of sterile drugs (ISO7), as well as the configuration of the containers for the infusion, diagnosis, surgery, ICU and hemodialysis areas.

The present invention is directed to a system and method for using physiological time-series (PTS) data sampled continuously from patients in the ICU. An algorithm according to an embodiment of the present invention applies statistical modeling and machine learning methods to implement an early warning policy for predicting those patients likely to transition from non-sepsis, early sepsis or sepsis into septic shock. Results demonstrate that the system and method of the present invention can provide higher sensitivity and specificity in this task than any other method reported to date. It provides an advanced early warning of this pending transition with median value 12.5 hours, giving ample opportunity for physicians to intervene to prevent the patient from developing septic shock.

Provided herein are methods and systems for determining the risk of a septic shock in a patient or for identifying a patient at high risk if septic shock. In some embodiment a method includes accessing and/or receiving information regarding a patient, the information including an indication of whether a measured level of mean corpuscular hemoglobin for the patient fell outside a normal range for the patient, and an indication of whether a measured level of whole blood potassium for the patient fell outside a normal range for the patient. In some embodiments, the method includes determining an estimated risk of the patient experiencing septic shock within a specified time period based on, at least, the indication of whether the measured level of mean corpuscular hemoglobin fell outside the normal range and the indication of whether the measured level of whole blood potassium fell outside the normal range.

A system and a method for automatically and continuously measuring and assessing hemodynamics uses fluorescence imaging in which the fluorescent agent is controlled and automated. A method of automatic perfusion assessment of an anatomical structure of a subject includes administration into a vein of a bolus corresponding to less than 0.01 mg ICG/kg body weight of a first fluorescence imaging agent. A system for automatic perfusion assessment during a medical procedure includes a controllable injection pump for holding at least one first fluorescence imaging agent, the injection pump being configured for injecting a predefined amount of the first fluorescence imaging agent into the blood. The system is configured for receiving and analysing a time series of fluorescence images and determining at least one perfusion parameter based on the analysis.

The invention provides early feedback to clinician or caregiver so that they may characterize the adequacy of the cardiorespiratory system over short-term time intervals. In that way, any deficiencies may be readily detected and treated before the patient's compensatory capacity is compromised. In one embodiment, a biological signal, having a waveform, is processed for deriving a perfusion parameter and a baseline value for the perfusion parameter. The invention monitors, in real time, the derived perfusion parameter and determines a variation of the computed perfusion parameter from the baseline value. The determined variation of the derived perfusion parameter is evaluated with respect to at least one variation threshold. A duration of time associated with the determined variation is measured that is reflective of the amount of time the derived perfusion parameter variation is above or below the at least one variation threshold. Based on the evaluation of the derived perfusion parameter with respect to the at least one variation threshold and the measured duration of time, a cardiovascular stress index is determined for the patient.

Various embodiments concern video patient monitoring with detection zones. Various embodiments can comprise a camera, a user interface, and a computing system. The computing system can be configured to perform various steps based on reception of a frame from the camera, including: calculate a background luminance of the frame; monitor for a luminance change of a zone as compared to one or more previous frames, the luminance change indicative of patient motion in the zone; and compare the background luminance to an aggregate background luminance, the aggregate background luminance based on the plurality of frames. If the background luminance changed by more than a predetermined amount, then the aggregate background luminance can be set to the background luminance, luminance information of the previous frames can be disregarded, and motion detection can be disregarded.

Systems and methods are provided for measuring blood volume of a living being.

Systems and methods are provided for analyzing blood of a living being, and for presenting guidance for medical treatment.

A method and a system for monitoring healthcare garments (3), wherein the method comprises the steps of: providing a temperature sensor (1) on or in a healthcare garment, sensing the temperature of the healthcare garment by means of the temperature sensor, transferring temperature data relating to the sensed temperature over at least one network (5) and a wireless interface (7) from the temperature sensor to a base station (4), and based on the transferred temperature data, determining information relating to a usage cycle of said healthcare garment.