Abstract: Provided herein are MD Codes, MD DYNA Codes, MD ASA, and Next Human system, and the methods of using them to diagnose and treat aesthetic conditions or disorders.

Abstract: To enable efficient processing of an insurance claim that is submitted by a client, the presently disclosed embodiments include systems and methods that enable an insurance computing system to autonomously assess the risk of fraud associated with a claim by generating a risk score. The risk score may provide an indication of a likelihood of fraud associated with the claim based on similar insurance claims in the same geographical area, client information indicative of a likelihood to commit fraud, and/or a type of the claim. The insurance computing system may compare the risk score with a threshold number, and if the threshold number is exceeded, the insurance computing system may prompt the client to contact a service representative to further process or validate the claim. Otherwise, if the threshold number is not exceeded, the insurance computing system may continue processing the claim autonomously.

Abstract: A system and method for providing health care diagnosis, and more specifically, to a system and method for providing automated health condition review and diagnosis with testing recommendations is disclosed. The system includes a condition analyzer server coupled to online prior medical records sources, a current treating facility processor for generating a set of current patient data, the current patient data comprises observations, conditions, vital signs, and complaints, and a data storage device containing one or more sets of one or more predetermined criteria from reference sources and record results. The condition analyzer server return a report containing recommendations potential diagnosis, additional testing recommendations, and reference source materials utilized in generating the potential diagnosis, and additional testing recommendations to the current treating facility.

Abstract: Systems and methods for performing personalized cardiovascular analyses are provided. A method includes building, using a modeling and simulation computing device, a patient-specific model, storing, using the modeling and simulation computing device, the patient-specific model in a database, receiving, at the modeling and simulation computing device, remote monitoring data from at least one remote monitoring data source, and receiving, at the modeling and simulation computing device, clinical data from at least one clinical data source. The method further includes updating, using the modeling and simulation computing device, the patient-specific model using the remote monitoring data and the clinical data, performing, using the modeling and simulation computing device, at least one simulation on the updated patient-specific model, and outputting, from the modeling and simulation computing device, at least one output based on the at least one simulation.

Abstract: A care estimate module operating on a central computing entity receives a trigger indication (a) comprising patient identifying information and (b) that identifies a service; extracts the patient identifying information from the trigger indication; determines the service; identifies a potential provider that provides the service; and determines a care estimate for the potential provider to provide the service to the patient. The potential provider is identified based on eligibility information associated with the patient, a location associated with the patient, and an address associated with the potential provider. The care estimate is determined based on the eligibility information associated with the patient. The central computing entity generates a care estimate notification that identifies the potential provider and comprises the care estimate; and provides the care estimate notification such that a user computing entity receives the care estimate notification.

Abstract: An apparatus, system and product including a software agent configured to monitor and interact with a Document Object Model (DOM) of a page of an Electronic Health Record (EHR) system; a runtime infrastructure that is loaded, dynamically, in the page in a first iframe; an EHR-specific EHR adapter that is loaded, dynamically, in the page; and an extending application that is loaded, dynamically, in the page in a second iframe, wherein the EHR-specific EHR adapter is configured to receive EHR-specific instructions from the software agent and communicate converted cross-EHR instructions to the runtime infrastructure, wherein the runtime infrastructure is configured to communicate the converted cross-EHR instructions to the extending application and receive cross-EHR instructions from the extending application, wherein the EHR-specific EHR adapter is configured to obtain the cross-EHR instructions and communicate converted EHR-specific instructions to the software agent.

Abstract: A model-assisted system for determining a patient event date may include a processor. The processor may be programmed to access a database storing a medical record associated with a patient, the medical record comprising unstructured data; analyze the unstructured data to identify a plurality of snippets of information in the medical record associated with a patient event; determine a date associated with each of the plurality of snippets, identify a plurality of query periods associated with the patient event; and generate, for each of the query periods, a probability of whether the patient event occurred during the query period based on the plurality of snippets and the associated dates.

Abstract: A system for a physiologically informed virtual support network includes a computing device a support module operating on the computing device, the support module configured to receive a biological extraction related to a user, wherein the biological extraction comprises an element of user physiological data, generate a request for the user to join a support network as a function of the biological extraction, identify a support network for the user from a plurality of support networks, as a function of the biological extraction; and display to the user on the computing device, the identified support network, and a machine-learning module operating on the computing device, the machine-learning module configured to assess a membership of the plurality of support networks, organize member participants of the plurality of support networks utilizing a first machine-learning process and assign member participants to the plurality of support networks as a function of the first machine-learning process.

Abstract: A surgical hub may obtain a hub connectivity mode based on a hub connectivity control parameter. For example, the hub connectivity mode may be selected from multiple connectivity modes that may be preconfigured, dynamically updated, semi-dynamically updated, periodically updated, or preset. The hub connectivity modes may control inter-device connectivity within a network associated with a hospital, and/or communication with an external network associated with a different hospital. The surgical hub may determine whether to provide instructional information to at least one smart surgical instrument based on the hub connectivity mode. On a condition that the hub connectivity mode does not support provisioning instructional information to surgical devices, provisioning instructional information to surgical devices may be disabled.

Abstract: Secure digital assistant integration with web pages is provided. The system receives an intent manifest data structure that maps actions of a digital assistant with link templates of an electronic resource developed by a third-party developer device. The system validates the electronic resource based on the intent manifest data structure. The system receives, from a data exchange component of an iframe of the electronic resource loaded by a client computing device, an identifier of the client computing device. The system receives a foreground state of the electronic resource from an onsite state sharing API. The system selects a data value for a parameter based on the foreground state and the intent manifest data structure. The system provides the data value. An authorization component generates an authorization prompt, receives input, and transmits the data value to an onsite intent execution API of the electronic resource to execute an action.

Abstract: Computer-implemented methods, systems and computer program products leveraging collection and analysis of anonymized biological data, location data, individual IDs and time data from groups of individuals within a surrounding environment. The anonymized data can be combined with sources of map data and available historical data to help provide context about the surrounding environment of the users and stored for analysis and decision-making that physically impacts and alters the surrounding environment. At periodic or sporadic intervals, the collected data is extracted and analyzed. Based on the analysis of the anonymized data, physical changes are dynamically implemented within the physical environment, including remotely altering the physical environment by instructing changes to surrounding environment over a computer network such as modifying one or more settings of IoT devices positioned within the surrounding environment analyzed.

Abstract: A system for facilitating upload file optimization via transaction transformation. A request is received for an operation to upload a file to the cloud. The system bypasses a transaction processing (sub)system and attempts to upload the file to a staging area of the cloud. When the upload transaction is ready to be executed, the system determines an upload status of the file. The system transfers the file from the staging area to an intended destination if the file has been uploaded to the staging area. If the file is not yet uploaded to the staging area, the system determines if an upload operation failed. If an upload operation did not fail, the system waits for the upload to finish prior to transferring the file to the intended destination. If the upload operation did fail, the system uploads the file to the intended destination.

Abstract: A strategic decision support system is disclosed. The system can filter content received from a remote database coupled to a network to provide a graphical user interface to enable strategic decision making to expand utilization of a product. The system can include a local client computer to generate access to content stored in the remote database, at least one filtering scheme, a set of selectable filters configured to filter the content stored in the remote database according to the at least one filtering scheme, and a remote server coupled to the local client computer via the network to analyze access restrictions to the product based on a selected filter and the at least one filtering scheme to generate a graphical user interface displayed on the local client computer.

Abstract: A system 100 for automatically generating a field of a radiology report includes a set of one or more models. A method for automatically generating a field of a radiology report includes: receiving a radiologist identifier (radiologist ID); receiving a set of finding inputs; determining a context of each of the set of finding inputs; determining text associated with a portion or all of the radiology report based on the context and the radiologist style; and inserting the text into the report.

Abstract: The disclosure relates to, among other things, systems and methods for mitigating the risks of errors, benign or otherwise, occurring within trusted ledgers and/or for validating the integrity of information provided by operators of trusted ledgers. Consistent with embodiments disclosed herein, trusted agents, which may comprise proxy agents and/or test agents, may be employed to examine ledgers and/or derivatives, which may be meshed with other ledgers, to ensure the integrity of information provided by ledger operators. Ledger meshing techniques are described to link ledgers in a manner that improves the ability to verify ledger entries and/or recover from data faults. Further embodiments provide for tagging processes may be performed to give semantic meaning to hashes included in trusted ledgers.

Abstract: An automatic patient recruitment system is operable generate abnormality data for medical scans by performing at least one inference function on image data of each medical scans by utilizing a computer vision model trained on a training set of medical scans. A subset of a plurality of patients is identified to be eligible for a pharmaceutical study by identifying medical scans having abnormality data that compares favorably to abnormality criteria of the pharmaceutical study. A size of the subset is compared to a minimum participant count requirement. A notification indicating the subset of the plurality of patients is transmitted based on the size of the subset comparing favorably to the minimum participant count requirement.

Abstract: A human body support has a plurality of electrodes arranged in an array and spaced longitudinally with respect to the human body. The array extends from an inferior position to a more superior position along the body. A sensor measures a parameter of the human body that is capable of indicating the presence of drowsiness. A controller has an input connected to the sensor for receiving a signal representing the sensed parameter and has outputs connected to each of the electrodes. The controller detects whether the sensed parameter is within a range indicating the presence of drowsiness and applies a wave of electrical stimuli against the human body in response to detection of a sensed parameter within the range. The electrical stimuli cause periodic tightening and relaxing of proximate muscles as the wave progresses in a direction from an inferior location on the human body toward a more superior location.

Abstract: One embodiment provides a method including transmitting a pick-up request to transport a patient within a healthcare facility. The method includes receiving an acceptance indication for the pick-up request. The method includes generating a patient identification request requesting a scan of an identification tag of an individual. The method includes receiving image data and determining whether the image data includes an image of the identification tag. The method includes verifying an identity of the individual. The method includes receiving at least one environment attribute from an environment of the patient. The method includes transmitting a notification indicating successful completion. Other aspects are described and claimed.

Abstract: A method may include identifying a shift associated with a clinician by applying a machine learning model trained to identify, based on a series of transaction records associated with the clinician, one or more shifts associated with the clinician. The clinician may be identified as likely to engage in a hazardous behavior based at least on the shift associated with the clinician. In response to determining that the clinician as likely to engage in the hazardous behavior, activating a protective workflow. The protective workflow may be configured to prevent the clinician from engaging in the hazardous behavior as well as to collect evidence associated with the hazardous behavior. Related methods and articles of manufacture are also disclosed.

Abstract: A computer-implemented method includes producing information that characterizes a group of individuals from a set of private data representing characteristics of the individuals. The identity of the individuals is unattainable from the produced information. The method also includes providing the produced information to report the characteristics of the group.

Abstract: Computer-implemented systems and methods for digital content protection and security in multi-computer networks are provided. In one embodiment, a system for cryptographic digital content protection and security is disclosed. The system may include at least one processor, and a storage medium comprising instructions that, when executed, configure the at least one processor to determine specification of a computer terminal, determine a status of the computer terminal as a public terminal or a private terminal, identify sensitive information in a data transmission, generate output instructions associated with the sensitive information, and provide the data transmission and the output instructions to the computer terminal over a network.

Abstract: This invention relates to a method of using medical data related to patients suffering a given disease, comprising: a phase of gathering (6) medical data related to patients suffering said given disease, from different hospital databases (65 to 68) storing under different data formats said medical data within non-anonymized files, a phase of storing, in a big data database (1), said gathered medical data, anonymized and in a single standardized format, a phase of using (7, 8) said big data database (1): by performing big data processing functions (21, 22) as well as by performing simple raw data extraction (23) from said big data database and direct visualization (24) of said extracted raw data, to generate one or more global rules governing categories of patients suffering said given disease as well as to improve personal medical care for a specific patient suffering said given disease.

Abstract: A computing system for redirecting electronic prescription refills is disclosed herein. A server computer device executing an electronic health records application constructs an electronic prescription for a patient and causes the electronic prescription to be routed to a first pharmacy device of a first pharmacy. The electronic prescription includes at least one refill. Subsequently, the server computing device receives an identifier for the electronic prescription and an identifier for a second pharmacy from a second server computing device executing a patient portal application, wherein the identifier for the second pharmacy is specified by the patient. The server computing device identifies the electronic prescription, determines a number of refills remaining on the electronic prescription, and constructs a second electronic prescription including the number of refills.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for platforms for managing database content distribution. In some implementations, a system stores a data set comprising monitoring data collected from remote devices. The system receives a data sharing request, and in response to the data sharing request generates a data sharing record that specifies a data sharing recipient, a portion of the data set to be shared, and a limited set of operations that can be performed using the shared portion of the data set. The system configures a customized portal for the data sharing recipient based on the data sharing record, wherein the customized portal is configured to provide access limited to the shared portion of the data set with functionality limited to the limited set of operations. The system provides the data sharing recipient access to the customized portal.

Abstract: A mechanism is provided in a data processing system to implement localized device specific limitations on access to patient medical information. An authorizing device receives a request from a requestor device via a dose proximity communication protocol requesting to access an electronic medical record (EMR) associated with a patient. The authorizing device receives user input via a user interface specifying conditions for permitting access to the EMR. The authorizing device transmits an access authorization request to a patient registry system requesting the patient registry system to provide access to the EMR associated with the patient in accordance with the conditions for permitting access specified by the user input. The patient registry system generates a temporary access data structure based on the specified conditions. The patient registry system processes a subsequent request from the requestor device to access the EMR in accordance with the temporary access data structure.

Abstract: A middleware device or software may be placed in communication with one or more testing instruments and a lab information system. As samples are collected from patients and tested with the testing instruments, test results pass through the middleware and are analyzed in context with other data, such as patient history, testing instrument history, and test results from other tests of the sample, in order to determine whether a particular result is acceptable, whether retesting is needed, whether additional sample collection or testing is needed, and whether currently ordered testing is still necessary. When the middleware determines a need for additional testing or retesting it may automatically create orders for such testing in order to reduce delays in manual review of testing results.

Abstract: A user device may share encrypted health data with an electronic health record (EHR) system associated with a health institution. A unique data identifier that identifies a portion of the health data and a cryptographic key may be shared with the EHR system. The encrypted health may be shared with a service provider and a unique data identifier. To access the health data, the EHR system may query the service provider with the unique data identifier.

Abstract: In one aspect, the present disclosure is directed to a method for improving the speed of determining a health risk profile associated with a patient. The method may include the step of retrieving patient medical information about the patient, wherein the patient medical information is an uncoded natural language expression in a first language. The method may also include comparing the patient medical information with records in a first database. If the patient medical information matches the preselected medical information, the method includes performing a first data conversion procedure. If the patient medical information fails to match any record in the first database, the method includes performing a second data conversion procedure, wherein the first data conversion procedure is performed faster than the second data conversion procedure.

Abstract: A system for tracking adverse events may include at least one processing device programmed to receive a request from a user to record an adverse event experienced by a patient; receive a search term input by the user; identify, in an adverse event database and based on the search term, at least one database record for an adverse event, wherein the at least one database record includes an adverse event type and at least one characteristic; receive, via an input field, a rating of the at least one characteristic for the patient; generate an adverse event record based on the adverse event type and the rating; and store the adverse event record in an adverse event log.

Abstract: There is a need for more effective and efficient information deficiency processing. This need can be addressed by, for example, solutions for performing/executing label-based information deficiency processing. In one example, a method includes receiving a predictive input associated with a predictive entity based on the predictive input; determining a plurality of encoding probability values for the predictive entity based on the predictive input; determining a plurality of attention-based encoding vectors for the predictive entity based on the plurality of encoding probability values; determining an encoding deficiency prediction for the predictive entity, wherein the encoding deficiency prediction indicates a deficient subset of a plurality of encoding designations; and for each encoding designation in the deficient subset, performing a corresponding prediction-based action.

Abstract: The present invention effectively provides, to a user, a coupon to improve a lifestyle. An information processing device includes an acquisition unit configured to acquire user data including at least one of vital data including biological information pertaining to a user and lifestyle data pertaining to the user, a provision unit configured to apply, to the user data, reference data indicating criteria for determining a content of the user data and, in accordance with a result of the reference data being thus applied, provide, to the user, coupon data pertaining to a coupon configured to encourage the user to take a specific action, and a determination unit configured to determine, on the basis of usage history data of the coupon data thus provided and the user data corresponding to the usage history data, whether or not a coupon corresponding to the usage history data is effective in improving a lifestyle of the user.

Abstract: By extracting clinical data of any format from respective different sources, a data repository normalized to a generic format is created. A medical domain specific language may be used to interact with the data repository for identifying cohorts and gaps in care for the respective cohorts. Any rules for finding gaps in care are converted into the medical domain specific language for determining gaps. This standardization in both the data repository and rule application may allow for a true cost and time to value solution accessible to many different medical practices.

Abstract: A system for monitoring drug delivery is disclosed including a container having a medicine disposed inside, the medicine associated with a patient; a machine-readable code viewable from an outside of the container; a second code in an interior of the container not accessible until the container is opened; a computer configured to receive from a user device a video showing machine-readable code, the second code, and the patient take the medication, the computer having software executing on a computer readable medium for verifying an association of the medicine and the patient using the machine-readable code; verifying association of the machine-readable code and the patient using the second code; identifying patient movement in the video using a machine learning algorithm; and generating a score indicative of the likelihood the medicine was taken by the patient by weighing factors comprising the verification and the identified movements of the patient.

Abstract: A method of preparing a dataset may comprise calculating a pattern relevance for a first field in the dataset and modifying the first field based on the pattern relevance. The method may further comprise detecting a contextual cue in the first field. The method may further comprise retrieving contextual information for a value in the first field and adding that contextual information to the database. Finally, the method may further comprise identifying a numerical scheme for the first field and parsing the first field into a number according to that numerical scheme.

Abstract: A matching computer system for electronically generating, matching, and providing online user profiles, and determining a trust score for a user based upon at least social media data and insurance data is provided. The matching computer system may be configured to register users within the matching computer system, receive consent from the users to capture the social media data, and collect the social media data and the insurance data from each registered user. The matching computer system may also be configured to retrieve the social media data and the insurance data associated with each registered user. The matching computer system may be further configured to determine a trust score for each registered user based upon each respective social media data and each respective insurance data. Each trust score represents a level of trustworthiness of the user.

Abstract: A system and computer program are provided for computer aided diagnosis or monitoring of heart failure patients. The system and computer program obtain patient data representing measurements of a select and limited set of health indicators of a patient. A trained classifier is applied to the patient data to obtain a classification of the occurrence or degree of heart failure for the patient. The limited set of health indicators is specifically selected from a large set of health indicators which are known to be predictive of heart failure on the basis of a clinical study which demonstrated the accuracy of the classification using this select set.

Abstract: Methods and systems of monitoring and managing a facility including a plurality of end point devices. One system includes an end point device including an electronic processor, the electronic processor powered by an energy source local to the end point device. The electronic processor is configured to receive data from at least one electro-mechanical element of a fixture associated with the facility, the data related to an operation of the fixture. The electronic processor is also configured to convert the data pursuant to a networking protocol. The electronic processor is also configured to enable, over a network associated with the networking protocol, transmission of the converted data for virtual processing.

Abstract: Systems and methods for automatically populating a post-operative report of a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including receiving an identifier of a patient, an identifier of a healthcare provider, and surgical footage of a surgical procedure performed on the patient. The method may include analyzing frames of the surgical footage to identify phases of the surgical procedure based on interactions between medical instruments and biological structures and, based on the interactions, associate a name with each phase. The method may include determining a beginning of each phase and associating a time marker with the beginning of each phase. The method may include populating a post-operative report with the patient identifier, the names of the phases, and time markers associated with the phases in a manner that enables the health care provider to alter the post-operative report.

Abstract: This description provides risk notifications for a geographic region to inform patients and effect behavior changes to prevent rescue events and exacerbations from occurring. A risk analysis for a geographic region is based on data gathered from a population of patients who may experience respiratory events within the geographic region. Rescue medication events, environmental conditions relevant to the rescue medication events, and other contextually relevant information are detected by sensors associated with a population of patients' medicament device/s and are collected from other sources, respectively, to provide a basis to determine a risk score. This data is analyzed to determine the severity of the risk of a respiratory event occurring within a geographical region and accordingly sending a notification to patients within that geographical region.

Abstract: A data processing system for insurance claims analysis and adjudication implements obtaining policy coverage information for each of a plurality of insurance policies and insurance claim information associated with a plurality of insurance claims associated with an insured user, analyzing the insurance claim information using a first machine learning to obtain event-related claim grouping information; analyzing the event-related claim grouping information and the standardized policy information using the second machine learning model to obtain coverage prediction information comprising a prediction, for each event of the one or more events, identifying a respective insurance policy of the plurality of insurance policies likely to cover the one or more claims associated with each event, the second machine learning model being trained using second training data formatted according to the standard schema; and providing, via a network connection, the coverage prediction information to a computing device associate

Abstract: A method and system providing medical treatment to patients. In some embodiments, a patient is granted clinically sufficient access to their underlying health records and is able to observe and place treatment orders. In some embodiments, a patient and a practitioner are able to collaborate on the patient's treatments. In some embodiments, a practitioner is summoned from a pool of practitioners. In some embodiments, a change manager tracks changes to the underlying medical treatment plan for potential review, approval, modification, or rejection. Further embodiments provide a collaboration or supervision interface between patients and automated medical decision or practice systems, such as robodocs.

Abstract: Methods, computer systems, and computer storage media are provided for utilizing machine learning to verify payers and/or health plans. HIPAA transactions can be utilized to train a machine learning model to intelligently link payers and/or health plans to specific employers. Initially, transaction data is received from electronic data interchange (EDI) insurance transactions. The transaction data comprises data corresponding to a plurality of employers, a plurality of payers, and a plurality of health plans provided by the plurality of payers. A machine learning model is trained with the transaction data to build a mapping of the plurality of employers, the plurality of payers contracted with each employer of the plurality of employers, and the plurality of health plans provided by the plurality of payers for each employer of the plurality of employers. The machine learning model is utilized to verify the scan data is mapped in accordance with the mapping.

Abstract: The present disclosure provides a method and system for scheduling vaccines in a smart city based on the Internet of Things (IoT), which is executed by a vaccine management platform. The method includes obtaining a service scope corresponding to each vaccination point in a preset area, obtaining information related to vaccine service within the service scope, the information related to the vaccine service including vaccination information, information of target persons to be vaccinated, and a time type of each preset time point, determining a prediction result based on the information related to the vaccine service within the service scope, the prediction result including a number of possible to-be-vaccinated persons at the each vaccination point at the each preset time point, and determining an allocation scheme based on the prediction result.

Abstract: A medical information query system is provided. The medical information query system includes: a processor and a memory, wherein the memory is configured to store computer instructions: and the processor is configured to load the computer instructions and execute: receiving clinical data and acquiring query rules matched with the clinical data; and inquiring medical information corresponding to the query rules in a graphic database.

Abstract: A method for generating DICOM images as part of a real-time virtual medical consultation includes receiving, by a handheld patient device associated with a patient, a DICOM image associated with the patient generated by a diagnostic device, encrypting, by the handheld patient device, the DICOM image and linking the encrypted DICOM image to a unique patient identifier associated with the patient, wherein the handheld patient device is one of a tablet computer and a smartphone, and transmitting, by the handheld patient device, the encrypted DICOM image to a server configured to provide a DICOM viewer option within a secure telemedicine platform accessible by a medical professional and executed by the server.

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: Mechanisms are provided to implement a patient summary generation engine with deduplication of instances of medical concepts. The patient summary generation engine parses a patient electronic medical record (EMR) to extract a plurality of instances of a medical concept, at least two of which utilize different representations of the medical concept. The patient summary generation engine performs a similarity analysis between each of the instances of a medical concept to thereby calculate, for a plurality of combinations of instances of the medical concept, a similarity metric value. The patient summary generation engine clusters the instances of the medical concept based on the calculated similarity metric values for each combination of instances in the plurality of combinations of instances of the medical concept to thereby generate one or more clusters, and select a representative instance of the medical concept from each cluster in the one or more clusters.

Abstract: The hospital bed alert device comprises a control circuit and a gurney. The control circuit mounts in the gurney. The control circuit generates an alarm selected form a plurality of alarms while the gurney is in motion. The plurality of alarms comprises a first alarm and a second alarm. The first alarm is used for situation that is not life-threatening. The second alarm is used for situations that are life threatening. The first alarm generates and first audible alarm and a first visual alarm. The second alarm generates a second audible alarm and a second visual alarm. The second audible alarm is audibly distinct from the first audible alarm. The second visual alarm is visually distinct from the first visual alarm.

Abstract: There is a need for more effective and efficient prediction data analysis. This need can be addressed by, for example, solutions for performing first-occurrence multi-disease prediction. In one example, a method includes determining a per-event-type loss value for each event type of a group of event types; determining a cross-event-type loss value based at least in part on each per-event-type loss value; training a multi-event-type prediction model based at least in part on the cross-event type loss value; generating a first-occurrence prediction based at least in part on the multi-event-type prediction model, wherein the first occurrence-prediction comprises a first-occurrence prediction item for each event type of the group of event types; and performing one or more prediction-based actions based at least in part on the first-occurrence prediction.

Abstract: A post incident analysis system and method includes a system management module coupled to a communications link and digital data storage containing a database of multiple survey questions, each question associated with an application criteria statement and auto populate instructions. The module conducts post incident analysis responsive to a network incident. After the incident receives a given status, the module generates a post incident survey. Survey questions are identified by applying the application criteria statement associated with each question. The module pre-completes selected ones of the identified survey questions by executing the auto populate instructions associated with the selected survey question to identify and retrieve answers to the question from predefined data sources specified in the auto populate instructions. The post incident survey includes, at minimum, survey questions for which the pre-completion was not successful. The survey is transmitted to the participants via the link.