Abstract: A diagnostic and decision support technology is provided for determining the presence, identity, and/or severity of an inherited lysosomal storage disorder. In particular, a mechanism is provided to detect and classify a lysosomal storage disorder in a human patient, which utilizes a logistic regression classifier determined based on a multi-variable-composite-biomarker comprising a specific set of physiological variables of the patient. This multi-variable statistical predictive biomarker approach may be employed for identifying persons whose attributes are consistent with features or lysosomal storage diseases, such as attenuated mucopolysaccharidosis Type 1 (Hurler-Scheie or Scheie syndromes).

Abstract: Methods, systems, and computer-readable media for a system and method are provided for assessing the value of predictive models monitoring medical conditions. Trends in an individual's medical condition are determined based on monitoring values, and the trends are associated with the actions performed in response to the monitoring values and in accordance with the predictive models. The trends may indicate that an individual's condition is improving, worsening, or remaining stable in response to the action taken. Models used for multiple conditions for an individual or for a population of individuals may be assessed in this manner to generate knowledge regarding the performance of the models based on the actions taken. This knowledge may be used to assess the value of the models in terms of the models' performance and may provide insight on way to improve the models.

Abstract: Systems, methods, and storage media useful in a healthcare computing platform to build and publish an integrated medical consultation report to a patient's primary electronic medical record are provided. The integrated medical consultation report presents up-to-date objective medical factors from the patient's medical record concurrently with a subjective medical summary from an authoring clinician. The integrated medical consultation report is stored as a unique medical document in the patient's primary electronic record.

Abstract: The technology disclosed relates to generating automated test plan scripts. Repository data associated with a test plan script is received. Source code and test plan solution data corresponding to the repository data are analyzed. For example, the repository data may be analyzed using natural language processing and static code analysis. In some embodiments, test steps of the test plan are performed to generate repository data. A suggestion of a reusable component for a particular test step or test validation is provided for one or more of the test steps. A selection of the suggestion of the reusable component for at least one of the test steps is received. An automated test plan script corresponding to the selection is generated.

Abstract: Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.

Abstract: Methods, computer systems, and computer readable media are provided for promoting positive activity patterns for users and facilitate long-term adherence to the activity patterns, such as by providing alerts or electronic reminders to ambulate in a fashion that is responsive to an individual's actual activity patterns and behaviors and compatible with routine activities in the workplace and home. In particular, embodiments of the present invention are directed to measuring physical activity patterns during the waking hours of a human, and in some embodiments continuously measuring these activity patterns; automatically ascertaining whether the patterns exhibit sufficient frequency and variability of activity such as confers certain health benefits; and if the patterns do not manifest such features, to adaptively provide sensible reminders at irregular within-day intervals such as are likely to establish healthy patterns of ambulation and other light activity.

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: 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: A stateless, on-demand semantic indexing and search service for a health information exchange is provided that anticipatorily fetches data from one or more external sources, extracts semantic concepts from textual documents, and serves an in-memory semantic search index to users to ease finding of relevant patient data across a set of distributed health record data sources. Clinicians may search for not only text, but for semantic concepts, and the search index is able to return relevant results regardless of whether the source information is located inside or outside the local electronic health record. Predictive algorithms may be incorporated to pre-fetch, semantically process and index data for patients likely to be searched in an upcoming time window. Activity indicators for clinicians and patients may be utilized to pre-fetch, semantically process, and index data.

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: Embodiments of the present disclosure provide a cloud-based integrated charting system that utilizes a universal mapping service across services and clients to provide insights for the provider into customizations made by clients. Additionally, the system provides content building tools that enable clients to customize content to update models provided by the provider. A mapping service maps model codes corresponding to model concepts to a plurality of standard based concept codes corresponding to client domain specific customized concepts for an ontology of the one or more ontologies. A workflow recommendation is provided that enables a user to chart data and includes the model concepts comprising charting elements. Accordingly, the data is stored in a client database in accordance with the client domain specific customized concepts. Since the model concepts are mapped to the client domain specific customized concepts, the workflow recommendation can be prepopulated with data from the client database.

Abstract: Methods, computer systems, and computer storage media are provided for utilizing system diagnostics focused in areas of disruption to improve inventory and workforce management in a revenue cycle management system. Inventory input is received from a revenue cycle management system. The inventory input includes inventory in the revenue cycle management system, types of claims in the inventory, pair agreements of the claims, and a length of time the claims have been in the inventory. Workforce input is also received from the revenue cycle management system. The workforce input includes experience, type of education or technical training, specialty, and outcomes corresponding to a workforce of the client. A portion of the inventory is automatically assigned to an associate of the workforce. The portion of the inventory tailored to the associate based on the inventory input and the workforce input.

Abstract: Systems, methods, and computer-readable media are provided for patient case and care complexity characterization, and detecting matches of an individual patient's record with collections of other patients' records, based on serial, longitudinal patterns, for facilitating efficient health services utilization, implementing programs to reduce complexity, preventive medicine, and risk management in health care.

Abstract: Methods, systems, and computer-readable media are disclosed herein for improved state identification and prediction in computerized queries. In an aspects, a neural network model is trained via word embedding, using a plurality of workflows having a plurality of steps as input training data. The model may be searched using a string to locate and identify semantic matches as potential results, where the potential results correspond to a specific step and/or a particular workflow. Markov chaining may also be performed, using the potential results, in order to predict one or more additional results, where the additional results correspond to a specific succeeding step within a particular workflow, in some aspects. The results and predicted steps may be displayed.

Abstract: Systems, methods and computer-readable media are provided for determining conformity to performance of meaningful use measures in human health care delivery. A Bayesian Markov Chain Monte Carlo statistical process is utilized to achieve reliable estimates for such measures despite the small subgroup sample sizes accruing during each measurement period. One embodiment utilizes zero- and one-inflated beta regression that is robust against moderate prevalence of zero or one counts in the numerators for such measurements and determinations of statistical associations with such factors as clinician, care venue, and patient attributes. Based on the determined conformity, a notification is provided to provider clinicians or organization management indicating the conformity and, in some instances, a degree of conformity.

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 or dichotomized values of selected phenotypic variables, and provides an opportunity to capture and measure the relative importance of specific values found in a field. A phenotypic bit-vector “fingerprint” pattern-specific weight or Bayesian power spectrum weight may be determined and incorporated into record linkage methods.

Abstract: Methods, systems, and computer-readable media are disclosed herein for an application that optimizes the design element and workflow configuration of a target computer program. Generally, the application automatically displays preview images of graphical user interface in response to a user-input answer in a questionnaire, where the preview image accounts for design element and/or workflow impacts to the graphical user interface of the target computer program. The application also predicts performance indicators for target computer programs that account for design elements and/or workflow steps directly or indirectly selected through the user-input answers.

Abstract: Methods, systems, and computer-storage media are provided for facilitating the management of population health. A parallel processing architecture receives patient population health data from healthcare facilities along with any updated data. A high-level clinical logic is executed against the data to identify, among other things, patients in the population who qualify for health intervention programs.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for generating a soundtrack using integrated live data from an information system. In this way, the audio presentation for an organization can be automated utilizing meaningful data that is converted into unique sounds based on defined criteria that results in an almost endless culmination of songs providing a story unique to the organization. To do so, data is aggregated from a number of sources (e.g., analytics data, network activity, and the like). The data is converted into observables that can influence the selection of a base track comprising a measure of notes. A soundtrack is generated by applying the observables to the base track, the observables causing changes in one or more of the measure of notes, scale, tonic, tempo, or volume of the soundtrack.

Abstract: Methods and systems for natural language processing/understanding of voice conversations are provided. Using natural language processing, a clinical condition is extracted from a voice conversation. A clinical ontology identifies clinical concepts associated with the clinical conditions. The clinical concepts are classified for documentation. The clinical concepts are searched and validated from within an individual's longitudinal record.