Abstract: Methods, computer systems, and computer-storage medium are provided for managing patient alerts using a mobile device. A mobile device associated with a patient caregiver receives a critical alert related to the patient, and the alert is presented on the mobile device. The alert includes important contextual information that enables the caregiver to make a quick assessment of how to effectively address the alert. The alert includes options for accepting the alert or rejecting the alert. Acceptance of the alert enables the caregiver to communicate the alert to selected caregivers that can assist in managing the alert. Rejecting the alert causes the alert to be automatically communicated to additional caregivers associated with patient.

Abstract: A critical access override list may be generated dynamically based on patient profile information for a single patient or a group of patients. A single patient or group of patients is initially identified. Patient profile information for the patient or group of patients is accessed. The patient profile information is analyzed, and medications are selected for critical access override. The selected medications are added to a critical access override list available to a medication dispensing apparatus to provide quicker access to the medications for emergency situation purposes via critical access override dispensing in which fewer steps are performed than normal medication dispensing events.

Abstract: Systems, methods and computer-readable media are provided for determining the likelihood of a presence or absence of one or more patient conditions based on unstructured text data from the electronic health records, which may accrue during the routine provisioning of care services. In particular, embodiments described herein use structural topic modeling (STM) to assess the textual information as to topical or concept-oriented expressions they contain that are statistically similar to those associated with various clinical conditions or diagnoses; to identify which condition- or diagnosis-oriented clusters the present texts most closely resemble, if any; and to notify the responsible clinicians of those determinations, suggesting consideration of those conditions or diagnoses as part of the constellation of differential diagnoses pertinent to the management of the patient.

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: Systems, methods, computer-readable media, and graphical user interfaces for selecting alternate results for integrated data capture are provided. Integrated data capture workflows are initiated from within an electronic medical record (EMR). Data is gathered from the EMR to make available to a case report form. Case report forms are populated with the most recently collected values of data. Indicators are displayed if alternate results for items are available. Selections of indicators are received and closed menus of alternate results for the items are presented.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: Methods, systems, and computer-storage media are provided for generating and populating a feature catalog for use in predictive modeling applications. The feature catalog may be populated with features extracted from data warehoused in a nested, hierarchical data structure. Extraction of features may result from applying a set of rules-based algorithms to warehoused data. Updated features may be extracted from a queue of data updates by applying the same rules-based algorithms. Predictions of future outcomes may be generated by applying predictive models to features.

Abstract: The present invention relates to methods, systems, and computer-readable media for routing healthcare information based on a role associated with a user. Information may not always need to go to a specific person but, rather, may need to be communicated to a role. A user may be associated with a given role based on manually claiming the role, being assigned to a role, or being automatically scheduled into a role. Additionally, information may be communicated using user contact preferences specifying the modality by which the user is to be contacted under various circumstances. Further, the information may be re-directed if a rejection (or lack of response) is received by an initial recipient.

Abstract: Methods, systems, and computer storage media are provided for converting a source in a first terminology to a target in a different terminology. A source in a first terminology may be converted to a target in a second terminology using cross maps that map sources to all possible matching targets, probability data derived from frequency data illustrating a frequency of selection for targets in relation to specific sources, lexical matching algorithms indicating targets with highest lexical matches for specific sources, or a combination thereof. Any one, or a combination, of the data above may be used to identify a probabilistically most relevant target in a desired terminology.

Abstract: Methods, systems, and computer-readable media are provided for computer based healthcare information to automatically provide reminders to a patient to take prescription medications at the appropriate times on the patient's mobile device. The patient enters a medical record number (MRN) into the mobile device and this information is communicated to the patient's electronic medical record. The user device receives the prescription information for the MRN from the patient's electronic medical record. Utilizing the prescription information on the user's device, the user can view and set reminders to take the medication directly from the patient's mobile device.

Abstract: Methods are provided for validating theoretical improvements in the decision-support processes facilitating surveillance and monitoring of a patient's risk for developing a particular disease or condition and detecting the disease or condition. Patient information is received from a source and populated into an active risk assessment that monitors the patient's risk for developing Sepsis. At least a first and second set of actionable criteria for determining a patient's risk for developing sepsis are received. For each set of actionable criteria, it is determined that actionable criteria have been met. In some embodiments, software agents, operating in a multi-agent computing platform, perform each determination of whether actionable criteria are met.

Abstract: A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a reference pointer, which identifies the information item, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device receives updates related to the reference pointer.

Abstract: A method for presenting an interactive emergency department (ED) dashboard display for an ED at a user computing device is provided. The method may include presenting a plurality of user interface indicators on the interactive ED dashboard display at the user computing device. Each of the plurality of user interface indicators may correspond to a real-time performance metric for the ED, where the real-time performance metric is based on patient data for a plurality of patients in the ED. A user input may be received at the user computing device. The user input may indicate a selection of one of the plurality of user interface indicators. The method may further include, in response to the user input, presenting on the interactive ED dashboard display the patient data that is associated with the real-time performance metric corresponding to the selected one of the plurality of user interface indicators.

Abstract: A system, method and article of manufacture are presented for assisting the fields of health care, kinesiology, and sports medicine. More specifically the method of the system measures the dynamics of the biomechanics of motion of a human patient or athlete and quantitatively determining the presence or absence of biomechanical abnormalities, classifying abnormalities that are present, developing or critiquing one or more diagnoses in terms of the biomechanics evidence supporting the classification, recommending an appropriate training or treatment regimen based on the diagnoses, and monitoring progress while the individual is under the training or treatment regimen.

Abstract: Methods, systems, and computer-readable media are provided for intelligent suppression of alerts. Alerts may be evaluated prior to presentation to determine whether to present the alert or suppress the alert to reduce alert fatigue. The evaluation includes analysis of the alert including specific alert parameters. Alert parameters include, but are not limited to, an age of the patient, one or more diagnoses of the patient, one or more problems of the patient, etc. Additional parameters that may be evaluated include an alert severity score, a threshold value, and an override rate. Alerts that qualify may be suppressed and the suppressed alerts may be provided as non-interruptive alerts (i.e., alerts that may be presented but do not require action in order to continue with a workflow).

Abstract: A substantially real-time voice, text, and messaging communications system employs application triggers for communications. A system provides communication between an executable application and a worker. The system comprises at least one repository including mapping information associating predetermined indicators conveyed by transaction messages with tasks performed by corresponding workers and communication routing information for use in establishing communication with the corresponding workers. A filter automatically accesses transaction messages processed by an executable application and uses the mapping information to identify a predetermined indicator in a received transaction message and a particular worker associated with the received transaction message.

Abstract: Methods, systems, and computer-readable media are provided for synchronizing healthcare data across disparate data centers. Healthcare data from healthcare data sources is received by a collector service that operates in a cloud computing platform. The data is sent to a staging platform associated with a first data center that is hosting the collector service. From here, the data is stored in association with a long-term storage data store associated with the first data center. As well, it is communicated to processing nodes associated with the first data center that subscribe to the data. The staging platform also communicates the data to a staging platform associated with a second data center. This staging platform also stores the data in association with a long-term storage data store located at the second data center and communicates the data to processing nodes located at the second data center that subscribe to the data.

Abstract: Systems, methods, and computer-readable media are provided for facilitating clinical decision making by directing the emission of computer-generated health-care related recommendations towards contexts in which the recipient will likely find the recommendations salient and will likely welcome them and act upon them. ‘Uptake’ of computer-generated recommendations for diagnostic tests or therapeutic interventions is thereby substantially increased, and ‘alert fatigue’ is substantially decreased. Embodiments of our technology overcome certain drawbacks associated with the prior art by providing a means for ascertaining which decision-support recommendations are likely to be favorably considered by the recipient and acted-upon (recommendation ‘uptake’). System and method embodiments for providing a predicted probability of user uptake of a context-specific system-generated recommendation patient are disclosed herein and for applying that information to decide whether or not to emit the relevant recommendation.

Abstract: Systems, methods and computer-readable media are provided for determining and mitigating the aggregate loss risk associated with hospitalization for epidemic or pandemic influenza for health insurers, reinsurers, provider organizations, or public policy-makers. An accurate prediction of this risk may be provided, which may be used to determine parameters for reinsurance underwriting or for issuance and trading of catastrophe bonds (“cat bonds”) or other insurance-linked securities (ILS) and derivatives to lay off substantial amounts of such risk to capital markets investors. In particular, one embodiment uses a novel log-expit transformation of the raw data and non-parametric gradient-boosting machine-learning modeling in order to determine a high-claim right-tail risk. Some embodiments further comprise securitizing epidemic or pandemic influenza acute care health services catastrophe risk.

Abstract: Methods, systems, and computer-readable media are provided to suggest a medical course of action for a patient. Based on a diagnosis, a medical treatment decision tree is identified and integrated into an electronic medical record (EMR) of the patient. A series of branching nodes in the medical treatment decision tree are processed until a node with a suggested medical course of action for the patient is satisfied. The suggested course of action is exported. A medical procedure based on the suggested course of action is ordered and integrated into the medical treatment decision tree located in the EMR of the patient. It is then documented that the medical procedure was ordered in the treatment decision tree located in the EMR of the patient.