Abstract: Technologies are provided for determining deficiencies in narrative textual data that may impact decision-making in a decisional context. A candidate text document and a reference corpus of text may be utilized to generate one or more topic models and document-term matrices, and then to determine a corresponding statistical perplexity and probabilistic coherence. Statistical determinations of a degree to which the candidate deviates from the reference normative corpus are determined, in terms of the statistical perplexity and probabilistic coherence of the candidate as compared to the reference. If the difference is statistically significant, a message may be reported to user, such as the author or an auditor of the candidate text document, so that the user has the opportunity to amend the candidate document so as to improve its adequacy for the decisional purposes in the context at hand.

Abstract: A system, methods, and computer-readable media are provided for the automatic identification of patients having an elevated near-term risk of pulmonary function deterioration or respiratory distress. Embodiments of the invention are directed to event prediction, risk stratification, and optimization of the assessment, communication, and decision-making to prevent respiratory events in humans, and in one embodiment take the form of a platform for wearable, mobile, untethered monitoring devices with embedded decision support. Respiratory information is obtained over one or a plurality of previous time intervals, to classify a likelihood of events leading to an acute respiratory decompensation event within a future time interval. In an embodiment, the risk prediction is based a plurality of nonlinearity measures of capnometry information over the previous time interval(s), and the risk for an acute respiratory decompensation event determined using an ensemble model predictor on the nonlinearity measures.

Abstract: Systems, methods, and storage media useful in a healthcare computing platform to provide comprehensive safety measurement scores, and the individual safety measurements that make up the comprehensive safety measurement scores, for multiple hospitals in a geographic area and/or within a healthcare system are provided. Systems, methods, and storage media provided receive changes to individual safety measurements to model how changes to individual measurements impact the comprehensive safety measurement score for a hospital.

Abstract: Systems, methods and computer-readable media are provided for identification of patients or family member having genetic disease or probable genetic disease. During or after registration of a patient, parents, grandparents, or siblings of the patient are identified. If it is determined that one of the patient or the parents, grandparents, or siblings of the patient has been assigned with a diagnosis indicating a genetic disease, an alert for genetic disease or probable genetic disease for the patient or family member of the patient is provided. A clinician is then prompted to confirm or rule out the patient or family member inheriting the disease.

Abstract: Methods and systems for enhanced natural language processing of clinical documentation are provided. Using natural language processing, a clinical condition is extracted from unstructured data within a current electronic document. A clinical ontology identifying itemsets associated with the clinical condition is retrieved, and indicators of relevant clinical concepts, as identified from the ontology, are searched from within the patient's longitudinal record, which comprises documentation from at least a prior encounter. Based on the whether the clinical concepts are present in the patent's record, a confidence is assigned to the NLP-extracted clinical condition, and one or more actions may be performed.

Abstract: An improved decision support tool is provided for detecting (or for diagnosing or treating human patient at risk for developing) a functional gastrointestinal condition, such as irritable bowel syndrome (IBS). The decision support tool, which may comprise a smart sensor, determines microbiota diversity, relative abundances of microbial taxa, trends in the relative abundances, and concentrations of immunoglobulin G subclasses, from specimens from the subject, and combines these determined values using a classifier to automatically ascertain whether changes or trends in the values are statistically significant and clinically actionable with respect to diagnosing and managing the subject's condition.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

Abstract: Methods, systems, and computer-readable media are disclosed herein for proactively managing computing problems. In aspects, an execution of a script is initiated. A connection may be established via the script and the central database for identifying a network quality issue. The network quality issue may be identified more than once. Further, the network quality issue may be identified based on the network quality issue satisfying a threshold. Additionally, it may be determined that the network quality issue that satisfies the threshold is not associated with an electronic documentation based on a search in the central database. Based on determining the network quality issue is not associated with the electronic documentation, the electronic documentation may be created for the network quality issue that satisfies the threshold.

Abstract: The present invention is directed to a secure messaging assistant that provides secure two-way communications between a user device and a server. The user can conduct a natural language conversation with the secure messaging assistant ask medical questions and enter symptoms that the user is experiencing. The secure messaging assistant uses natural language processing to return, in near real-time, medical conditions that are responsive to the user's input and which account for the user's own medical history (e.g., securely stored electronic medical history). The secure messaging assistant prevents the user from disclosing private or sensitive information to an internet based search engine, in the quest for medical advice.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing voice-activated ambulance booking. Initially, a non-medical user initiates a workflow, via a voice command, that enables the user to provide information about a patient that can be utilized to prioritize the booking of ambulances for patients. Upon providing the initial voice command, the workflow is provided, via a user interface of the user device. The workflow comprises a series of questions corresponding to a status of the patient that can easily be answered merely by observing the patient (e.g., is the patient conscious, is the patient breathing, is the patient bleeding). Based on responses provided by the user, an ambulance is requested for the patient. User device vitals including battery charge levels and signal strength can be used to resolve conflicts if multiple requests are made.

Abstract: Methods, systems, and computer-readable media are provided for enabling improvements in athlete training and injury management through entropy and third-order spectral analysis of digitized force-vs-time time series from movements. In embodiments, entropy and/or bispectral statistics are determined using time-series information obtained from movements of an athlete, such as squat jump and countermovement jump maneuvers, using a biomechanical sensor, such as a digital force plate apparatus. These statistics may be used to facilitate sports medicine and health management of the athlete.

Abstract: Methods, systems, and computer-readable media are provided for facilitating record matching and entity resolution and for enabling improvements in record linkage. A power-spectrum-based temporal pattern-specific weight may be incorporated into record linkage methods to enhance the record linkage accuracy and statistical performance. For example, in embodiments, a value-specific weight may be calculated from a population-based frequency of field-specific values and provides an opportunity to capture and measure the relative importance of specific values found in a field. A timeseries-derived Bayesian power spectrum weight may be calculated from the population-based frequency of temporal pattern-specific values in terms of intensities at various frequencies of the power spectrum computed from the timeseries, and further provides an opportunity to capture and measure the relative importance of specific sequences of care episodes.

Abstract: Systems, methods, and GUIs are provided for visually communicating clinically relevant information in a manner that maintains context and trends across various sizes of user interfaces, such as smaller user interfaces on mobile devices. In an embodiment, a user interface may display a first timeline area with a first indication of a timespan that represents a portion of the timeline. The first indication of the timespan may be scrollable to change the portion of the timeline displayed. The first timeline area may further comprise a set of clinical diagnoses with corresponding duration indicators. The user interface may also display a second timeline area with a second indication of a timespan, which may mirror the first indication of the timespan. The second timeline area may further comprise a set of diagnostic parameters and associated measurements. The user interface may also present a medication area having lists of medications separated by classification.

Abstract: Technologies are provided for providing a dashboard interface corresponding to one or more datacenter components for information originating from one or more proprietary applications. A selection of information corresponding to the one or more datacenter components is initially received. Upon receiving the selection, an application programming interface (API) call request is made, in real-time, for the information corresponding to the one or more datacenter components from the one or more proprietary applications. As the information corresponding to one or more datacenter components from the one or more proprietary applications is received, it is aggregated and provided within the dashboard interface.

Abstract: Computerized systems and methods facilitate searches by identifying instances in which search input is an ambiguous query and resolving the ambiguous query. The search system identifies ambiguous queries by querying a common data store prior to querying a patient database. More particularly, when the search system receives search input entered into a search tool, the search system queries the common name data store before querying the patient database to determine if the search input matches a common name and is an ambiguous query. If so, the search system may provide a notification to the user to indicate the search input is an ambiguous query with a common name and prompt the user to enter additional search criteria. In some instances, the search system may prevent a search from being performed on the patient database if the search input matches a common name until additional search criteria is entered.

Abstract: Technologies are provided for an improved classifier apparatus and processes for improving the accuracy of classification technology including example applications of such classifiers. A process includes applying clustering to variables contributing to the classification task. The clusters may be represented in a 1-dimensional, 2-dimensional, or 3-dimensional matrix that is a spatial abstraction of the interrelationships. A convolutional transformation may be applied to the matrix so as to reduce the effective dimensionality of the classification problem and improve the signal-to-noise ration. A deep learning neural network method may be applied to the transformed network to generate an improved classification model, which may be utilized by a decision support tool. One embodiment comprises a decision support tool for detecting risk of venous thrombosis and venous thromboembolism (VTE) in a patient, based on phenotype and genomics information.

Abstract: Disclosed are various methods of presenting result visualizations for test results. The visualization may include a timeline, a test label area, a test parameter indicator, and a test value representation. The test label area includes a test label associated with the test. The test parameter indicator is associated with the test provided at a location corresponding with the test label of the test label area and with a location corresponding to a test time of the timeline, including a first test parameter indicator end associated with the upper test parameter threshold and a second test parameter indicator end associated with a lower test parameter threshold. The test value representation of a test value extends away from the test parameter indicator and proportionally represents the test value relative to an upper test limit and the test value to a lower test limit.

Abstract: Computerized systems and methods are provided to intelligently and dynamically generate at least a first set of tests to be executed on one or more changes made to one or more applications to determine whether the one or more changes were successful. Data is received regarding one or more changes and a failure probability value for each change is determined. A first plurality of fields are generated for completion by a first user. Upon receiving responses for the first plurality of fields, a first customized code is generated and based upon first customized code, a first set of tests to be executed on the second version of the first application is generated. Additionally, the first set of tests are assigned labels, stored for future use, and executed on the second version of the first application.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of diagnostic-signals in repositories of EMR information, identifying phenotypic diagnostic signals regarding markers or combinations or sequences of patient attributes. Some methods include identifying a first group of patients that have one or more markers and extracting one or more diagnostic statuses that pertain to the whole genome sequencing (WGS) or whole exome sequencing (WES). Statistically significant differences involving frequent itemsets are identified and may be used to evaluate membership of an individual in a class indicative of potential diagnosis via WGS or WES.

Abstract: Systems, methods, and computer storage media are provided for determining a patient's severity of illness score (pSIS) for a patient admitted to an acute care facility. Data corresponding to physiologic components is received from an electronic medical record associated with a patient admitted to an acute care healthcare facility. The physiologic components include vital sign measurements and laboratory tests. Weights are assigned to a minimum, median, and maximum measured values for each vital sign. Weights are assigned to minimum and maximum values for each laboratory test. The weights are derived based on a deviation from normal within a time period. A pSIS is determined by summing the weights. Additional data corresponding to physiologic components may be received from the electronic medical record. The additional data may be utilized to update the weights and determine a patient's updated pSIS that may be utilized to track a progress of the patient.