Abstract: A system for interpreting electrocardiograms receives a first electrocardiogram waveform, and identifies a feature in the first electrocardiogram waveform. The system retrieves one or more second electrocardiogram waveforms recorded at a point in time prior to the first electrocardiogram waveform. The system extracts the feature from the one or more second electrocardiogram waveforms, and generates one or more interpretive statements based on a comparison of the feature identified in the first electrocardiogram and the feature extracted from the one or more second electrocardiogram waveforms.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

Abstract: Systems and methods for vital sign monitors are disclosed herein. In some cases, a warning score is calculated based on first measurements of a first biological condition and second measurements of a second biological condition. In particular cases, the first measurements and the second measurements are automatically measured during the same time period. The warning score may be calculated based on an average of the first measurements and an average of the second measurements. Based on determining that the warning score is outside of a predetermined range, a clinical device may output an alert.

Abstract: The present invention relates to a process for the preparation of a fermentable sugar composition, wherein a polysaccharide composition is treated by at least one glucoamylase enzyme and at least one oligo-1,6-glucosidase enzyme, and wherein the fermentable sugars are removed during the process. Thereby, the otherwise non-fermentable sugars can be utilized in the fermentation process to yield a fermentation product such as an alcohol or an organic acid or amino acid.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The equipment includes a patient support apparatus such as a patient bed, a nurse call computer, a physiological monitor, a patient lift, a locating computer of a locating system, and an incontinence detection pad. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

Abstract: Systems and methods for detecting brief episodes of atrial fibrillation are described. The methods may comprise receiving from one or more sensors, data including ECG information, generating preprocessed data based on the ECG information, generating, based at least in part on the preprocessed data, a visual illustration associated with the ECG information, the visual illustration including a first section associated with a first time resolution and a second section associated with a second time resolution, receiving, as an output of a neural network, an indication of whether the visual illustration corresponds to a classification of atrial fibrillation, and assigning the visual illustrations to a classification based at least in part on the indication.

Abstract: A diagnostic exam review system is configured to assign queues of diagnostic exams for interpretation by medical professionals. The diagnostic exams are reviewed and recorded in patient files. Some of the exams are reviewed by a second medical professional to determine if the interpretations match. The medical professionals are scored based on whether their interpretations agree, indicating their skill in interpreting a particular type of diagnostic exam. The scores are used to rank medical professionals based on their level of skill.

Abstract: Systems, methods, and devices relate to monitoring biological conditions (e.g., vital signs) using patient-specific ranges. An example method includes receiving, from a sensor, first measurements of a vital sign of an individual determined automatically during a first time period and determining a baseline of the vital sign based on the first measurements by averaging the first measurements. A threshold of the vital sign can be a predetermined percentage of the baseline. Second measurements of the vital sign can be received from the sensor. In response to determining that at least one of the second measurements is outside of the range, an alarm may be triggered.

Abstract: A sepsis monitoring system determines an initial sepsis risk assessment score, and automatically and continuously updates the sepsis risk assessment score using a sepsis risk assessment model that receives vital signs data, electronic medical records data, and admissions data to continuously update the sepsis risk assessment score. The system determines whether the patient is likely to develop sepsis based on the updated sepsis risk assessment score, and in response to determining that the patient is likely to develop sepsis, generates a notification to drive an early intervention by one or more caregivers.

Abstract: Systems and methods for vital sign monitors are disclosed herein. In some cases, a warning score is calculated based on first measurements of a first biological condition and second measurements of a second biological condition. In particular cases, the first measurements and the second measurements are automatically measured during the same time period. The warning score may be calculated based on an average of the first measurements and an average of the second measurements. Based on determining that the warning score is outside of a predetermined range, a clinical device may output an alert.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The equipment includes a patient support apparatus such as a patient bed, a nurse call computer, a physiological monitor, a patient lift, a locating computer of a locating system, and an incontinence detection pad. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.