Abstract: The present invention relates to systems and methods of express tracking for patient flow management in a distributed environment. Particularly, aspects are directed to a computer implemented method that includes initiating a check-in process that includes prompting a user to scan an identifier, processing the identifier using a cascade machine-learning architecture comprising of a multi-task convolutional neural network model and a recurrent neural network model to obtain the classification of the identifier and member identification information, determining whether the user is known user based on the member identification information, when the user is a known user, verifying user data saved in the computing system associated with the identifier, once the user data is verified, determining whether the user has a scheduled appointment; and when the user has a scheduled appointment, checking the user in for the scheduled appointment.

Abstract: Aspects and features relate to computationally reducing the size or complexity of a database in order to improve the speed and efficiency with which such a database is processed by a computing system in order to identify investigators for clinical trials. In some aspects, a processing device performs operations including identifying data sources for geographically clustered data containing corresponding descriptors for database records. The operations further include formatting the corresponding descriptors to produce standardized, corresponding descriptors, and matching each standardized, corresponding descriptor to produce a record score for the descriptor. The record scores can be combined to produce an overall score for each database record and the database record can be selected and written to the data store based on the overall score.

Abstract: A methods, systems, and devices for secure linking and matching of data elements across independent data systems of a first and a second enterprise are disclosed. The system includes a first private data system having a first private database that may include all attributes known to the first enterprise A reference data system having a reference database and is also part of the first enterprise. The reference database may include all known attributes regarding data records contained any data system that is in communication with and/or has access to the reference database. A first set of query attributes may be used determine whether a subject represented by the first set of query attributes associates uniquely with a subject of any private data record stored in the first private database. A similar comparison may be made in the reference database.

Abstract: A warehousing and shipping management system stores first coded information contained in optical recognition codes attached to each of a plurality of objects and second coded information contained in object-attached radio communication tags attached to each of the plurality of objects, acquire the first coded information contained in the optical recognition code attached to a target object, automatically acquires location information of each of the object-attached radio communication tags and location information of an operator's radio communication tag; and associates the stored first coded information corresponding to the optical recognition code attached to the target object and the stored second coded information corresponding to the object-attached radio communication tag attached to the target object on the basis of location information of each of the object-attached radio communication tags and location information of the operator's radio communication tag when the first coded information is acquired.

Abstract: Example methods, apparatus, and articles of manufacture to estimate waiting times of prescriptions are disclosed herein. An example computer-implemented method, executed by a processor, to estimate a waiting time of a prescription for a medication includes training a machine learning model using, for each of a plurality of previously filled prescriptions, a set of characteristics of the previously filled prescription, and a fill time for the previously filled prescription, receiving a prescription for a medication for a patient, receiving a request for an estimated waiting time for filling the prescription medication for the patient, identifying a set of characteristics of the prescription medication for the patient, applying the set of characteristics of the prescription medication to the machine learning model to determine the estimated waiting time for filling the prescription medication for the patient, and providing an indication of the estimated waiting time for display on a client device.

Abstract: Systems and methods are disclosed for identifying a set of suitable coverage plans for a healthcare consumer. A starting coverage year and geographical location are received. The healthcare consumer is presented with an option to provide a list of prescription medicines as well as an option to provide an identification of one or more pharmacies and one or more preferred physicians. The healthcare consumer is presented with a user interface component for creating an account. A list of plans is presented based on the one or more geographical location parameters, the list of prescription medicines, and pharmacies, and the identification of one or more preferred physicians.

Abstract: A method for authenticating a transaction of a controlled substance. The method may include providing a computer-implemented data repository, providing a governing body to approve distributors to form a network of distributors, communicating governing body data, communicating controlled substance distributor data, and communicating distributor administrator data, distributor employee data, and controlled substance recipient data all to the computer-implemented data repository.

Abstract: A computer-implemented method includes receiving, by a computing device, a particular textual description of a scene. The method also includes applying a neural network for text-to-image generation to generate an output image rendition of the scene, the neural network having been trained to cause two image renditions associated with a same textual description to attract each other and two image renditions associated with different textual descriptions to repel each other based on mutual information between a plurality of corresponding pairs, wherein the plurality of corresponding pairs comprise an image-to-image pair and a text-to-image pair. The method further includes predicting the output image rendition of the scene.

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: A computer implemented method for allocating resources in mental health treatment includes the steps of retrieving individual patient's mental health assessment data mapped to assessed mental conditions; computing a wellness score of the mapped assessed mental conditions; determining an overall treatment efficacy progress with a statistically analyzed gradient of the wellness scores; aggregating over a pool of patients population with similar conditions, a distribution of the gradient of the computed wellness scores of an overall treatment efficacy progress; sampling over a defined range of the distribution of the gradient of the computed wellness scores to determine a correlation coefficient of fixed factors and variable factors; using correlated coefficient of fixed factors and variable factors to assess efficacy of mental health treatment regimens for adjusting available mental health treatment resources to determine a next mental health treatment regimen; and communicating the next mental health treatment

Abstract: The invention relates to a method for monitoring compliance with therapy prescribed by an aP, characterized by the following steps: registering the pC in the blockchain (100); identifying the exterior packaging by means of a first code (110); scanning of the first code by the dispensing point (120); linking the patient data to the data of the aP (130); starting of an application software by the patient (140); scanning the first digital code (150); starting the video recording (160); ending the video recording (170); transmitting the video recording to the aP (180); validating the documented ingestion (190).

Abstract: An apparatus for external activity verification is shown. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory contains instructions configuring the at least a processor to receive an external datum related to a user. The memory contains instructions configuring the at least a processor to verify the external datum as a function of a verification protocol, wherein a verified external datum is generated as function of the verification protocol. The memory additionally contains instructions configuring the at least a processor to apply the verified external datum towards an goal. The processor then generates internal activity as a function of the status of the goal.

Abstract: A method for improving a physician's workflow by optimizing the physician's access to patient data during a visit of patients to a medical facility includes an electronic medical record (EMR) processor implementing a Health Value Analytics (HVA) component and receiving inputs from EMR/HVA devices. In response, the EMR processor creates value baselines for patient visits, generates a health care value continuum based on a visit of a first patient to the medical facility, and generates a comparison of the health care value continuum to a value baseline, detects a location, on a display screen of the EMR/HVA device, of an EMR record for the first patient; provides the comparison for display in a location adjacent to the displayed EMR record for the first patient; detects replacement of the EMR record with an EMR record for a second patient; and in response to the replacement, discontinues display of the HVA page.

Abstract: Gateways for patient-responsibility portions of medical bills (PRPMB) transactions, regardless of healthcare provider or merchant services (Credit card processing) provider are disclosed. These principles provide uniform, consistent and secure devices, methods and systems that allow a patient to make PRPMB payments on one website or by one phone call or physical address regardless of the entity that is due payment, or when multiple entities are due payment.

Abstract: Configuration output for use in configuring a patient care device for administration of a therapy to a patient. The configuration output may include at least one code. The code may be used in the verification and/or indication of at least one configuration data component used in the configuration of the patient care device to be used to administer a therapy to a patient. Additionally, a check code for validation of the entry of the code and/or check code may be provided.

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: Methods and apparatuses for automatic treatment planning, including recommendation systems, quality assurance, error prevention, text mining, text matching, and treatment planning optimization.

Abstract: A system for timing impact of nourishment consumption, the system including a computing device configured to receive a nutrient profile of a subject, wherein the nutrient profile maps physiological data of the subject to current nutrient levels of the subject, determine, using the nutrient profile, a nourishment consumption program, wherein the nourishment consumption program includes at least an alimentary element, and a time of day for consuming the alimentary element wherein the time of day is determined as a function of the nutrient profile and the current nutrient level of the subject, and provide, to the subject, the nourishment consumption program.

Abstract: Disclosed herein are methods, systems, and devices for identifying increased likelihood of non-ST elevation myocardial infarction (NSTEMI) in a patient based on ECG data. The methods can include determining based on the ECG data that the patient lacks ST elevation (STE) and that the patient exhibits a ventricular repolarization dispersion (VRD) score that exceeds a predetermined threshold value. The VRD score can be based in part on a T wave complexity ratio that serves as a temporal marker of VRD for the patient. Other markers of spatial and time qualities of repolarization can also be included in the VRD score. An elevated VRD score in the absence of STE can indicate a likelihood of NSTEMI in the patient and a potential major adverse cardiac event.

Abstract: Oil field resources are allocated using machine learning and optimization. A well of a set of wells is identified. A user interface is presented to obtain a priority of a set of priorities. A schedule is generated for a set of resources for a job using the priority. A job schedule is presented that includes a set of jobs for the set of wells. The job schedule is generated using the set of priorities. An update to the priority is obtained. An updated job schedule is presented based on the update to the priority.

Abstract: A method and system for managing health care patient record data including identifying and conveying recordation and temporal inconsistencies in health care patient data pertaining to chronic illnesses. An embodiment of the present invention includes identifying a first health care encounter date on which a chronic illness is recorded in a patient's digital health care data and determining if the chronic illness was recorded in the patient's digital health care data for each subsequent health care encounter. Some embodiments also identify the stage of the chronic illness at each encounter to determine if and how the condition of the chronic illness has changed. Some embodiments generate alerts to inform users when a preexisting chronic illness is not subsequently identified and/or if the subsequent diagnosis of the chronic illness indicates that the condition of the chronic illness has changed by some predetermined amount.

Abstract: This disclosure relates generally to methods and systems for unobtrusive digital health assessment of high risk subjects, wherein bio-markers pertaining to a disease are identified automatically using physical activity and physiology monitoring on a continuous basis. Identification of bio-markers in the medical domain is conventionally dependent on insights derived from medical tests which are obtrusive in nature. Systems and methods of the present disclosure integrate physical characteristics, lifestyle habits and prevailing medical conditions with monitored physical activities and physiological measurements to assess health of high risk subjects. Systems and methods of the present disclosure also enable automatic generation of control class and treatment class that may be effectively used for health assessment.

Abstract: The present technology calculates a value of future adherence (VFA) score which is a patient-level, predicted, expected cost of conversion from non-adherence to adherence over a specified time-frame. The score consists of three general components: (1) probability of being non-adherent, (2) cost reduction associated with being adherent, and (3) probability of converting from non-adherent to adherent. These values can be combined to create an overall VFA score. A user interface is then provided which shows at least a list of patients and information related to the VFA score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a clinical recommendation for medical treatment of a patient.

Abstract: Centralized systems execute one or more applications for monitoring and operating a plurality of network enabled medical devices. An indication to start a selected application at the centralized system or at a network enabled medical device is received at the centralized system/network enabled medical device. The selected application may require a license to operate and, at the time the indication is received, may have a first license available. Instead of using the first license, the centralized system/network enabled medical device may determine to inherit at least a portion of a second license to operate the selected application. The centralized system/network enabled medical device may inherit at least the portion of the second license to form an inherited license, where the inherited license enables features of the selected application. Using the inherited license, the selected application is started with the enabled features. Related apparatus, systems, techniques and articles are also described.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: A method includes receiving, by a master infusion device from a server, at least one fluid delivery protocol. The fluid delivery protocol includes one or more parameters for delivering a fluid to a user. The method also includes configuring, by the master infusion device, a first slave infusion pump with a first fluid delivery protocol of the at least one fluid delivery protocol. The method further includes configuring, by the master infusion device, a second slave infusion pump with a second fluid delivery protocol of the at least one fluid delivery protocol. The method also includes delivering, by the first slave infusion pump and based on the first fluid delivery protocol, the fluid to the user. Related methods and articles of manufacture, including apparatuses and computer program products, are also disclosed.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-diabetic therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: A system for identifying a longevity element to optimize supplement decisions is disclosed. The system includes a computing device configured to capture an identifier of a first longevity element using a data capturing device. The computing device is configured to receive a longevity inquiry from a remote device generating a longevity inquiry from the identifier, the longevity query identifying the first longevity element. The system retrieves a biological extraction pertaining to a user and identifies a longevity element associated with a user. The system selects an ADME model utilizing a biological extraction. The system generates a machine-learning algorithm utilizing the selected ADME model to input a longevity element associated with a user as an input and output an ADME factor. The system identifies a tolerant longevity element utilizing an ADME factor. A method for identifying a longevity element to optimize supplement decisions is also disclosed.

Abstract: Medication management and reporting technology, in which output from at least one sensor configured to sense physical activity in a building in which medication of a patient is located is monitored and a determination is made to capture one or more images of the medication based on the monitoring. A camera is used to capture an image of the medication and the captured image is analyzed to detect a state of the medication. Information regarding a schedule by which the medication should be taken by the patient is accessed and an expected state of the medication is determined. The detected state is compared with the expected state and a determination is made that the patient has departed from the schedule based on the comparison revealing that the detected state does not match the expected state. A message indicating the departure from the schedule is sent based on the determination.

Abstract: Systems and methods for authenticating surgical tools for use in a surgical operation by a robotic surgical system are described herein. The authentication systems and methods include status lists for surgical tools associated with surgical systems. The status lists indicate an allowed or disallowed status of each surgical tool. The status list is stored on a cloud-computing system and shared with various surgical systems at different geographic locations. Prior to performing a surgical operation or at other times, the surgical systems decrypt tool data received from a surgical tool to access identifying information and access a tool status from the status list based on the tool data. The surgical systems then proceed based on the status of the surgical tool in the status list.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to distribute, to an information processing apparatus provided at each of a plurality of medical institutions, a program for causing a machine learning process to be executed by using medical data held at the medical institution having the information processing apparatus; to receive, from each of the information processing apparatuses, a change amount in a parameter related to the machine learning process, regarding a change caused in conjunction with the execution of the machine learning process; to adjust a value of the parameter on the basis of the received change amount; and to transmit the adjusted parameter to each of the information processing apparatuses to cause the machine learning process to be executed on the basis of the parameter.

Abstract: Examples herein describe a surgical instrument that deliver a first energy and a second energy configured to seal the tissue. The first energy may be operated by a first energy algorithm and second energy may be operated by a second energy algorithm. The surgical instrument may include an updatable memory that may store a default control algorithm that may control both the first energy algorithm and the second energy algorithm simultaneously. The surgical instrument may include a processor that may be configured to operate in a first mode at a first time, wherein in the first mode the processor may be configured to operate according to the default control algorithm. The processor may receive data at a second time that may cause the processor to operate in a second mode, wherein in the second mode the processor may be configured to operate according to an alternative control algorithm.

Abstract: Systems, methods and graphical user interfaces for visualizing analyte measurements using animation are presented. For instance, a system for continuously monitoring analyte concentration in a physiological fluid includes a sensor, a transmitter, at least one processor and a display. The display is for outputting a graphical user interface. The display is controlled by the at least one processor to display, using the graphical user interface, historical analyte concentration levels and a trend indication animation. The trend indication animation comprises at least one visual element configured by the at least one processor to have a periodic motion between a first position and a second position on the display in one of a plurality of trend directions. The trend direction of the periodic motion between the first and second positions indicates whether the analyte concentration is increasing or decreasing and the rate of change of the analyte concentration level.

Abstract: A method of identifying a particular mask for a patient for use in delivering a flow of breathing gas to the patient includes capturing with a visual presentation and interaction component a plurality of images of the patient; receiving with the visual presentation and interaction component a number of responses from the patient to questions presented to the patient, eliminating one or more masks from a pool of potential masks for the patent based on at least one of the responses, utilizing at least some images of the plurality of images to determine the particular mask for the patient from the pool of potential masks, and identifying the particular mask to the patient.

Abstract: In accordance with some embodiments, an alternative system for processing a data packet received via a secure pharmacy prescription claim network is provided, in which data included in the data packet as received from a pharmacy system is modified prior to being routed to a PBM. The data packet may be modified such that a first BIN/PCN is replaced by a second BIN/PCN and a Consumer Price is added. The alternative system allows for a third party to act as a switchboard for prescription claims such that requests for prescription claims received from pharmacy systems are pre-adjudicated and data packets included in the requests are modified prior to being routed to a PBM selected by the third party.

Abstract: Systems, computer-implemented methods, and non-transitory computer readable media are provided for sharing medical data. The disclosed systems may be configured to create a first workgroup having a first knowledgebase. This first knowledgebase may be federated with a common knowledgebase, and with a second knowledgebase of a second workgroup. At least one of the first knowledgebase, common knowledgebase, and second knowledgebase may be configured to store data items comprising associations, signs, and evidence. The signs may comprise measurements and contexts, and the associations may describe the relationships between the measurements and contexts. The evidence may support these associations. The disclosed systems may be configured to receive a request from a user in the first workgroup, retrieve matching data items, and optionally then output to the user at least some of the retrieved matching data items. The request may comprise at least one of a first association and a first measurement.

Abstract: Physiological variables, metrics, biomarkers, and other data points can be used, in connection with a non-invasive wearable device, to screen for, and predict, mental health issues and cognitive states. In addition to metrics such as heart rate, sleep data, activity level, gamification data, and the like, information such as text message and email data, as well as vocal data obtained through a phone and/or a microphone, may be analyzed, provided user authorization. Applying predictive modeling, one or more of the monitored metrics can be correlated with mental states and disorders. Identified patterns can be used to update the predictive models, such as via machine learning-trained models, as well as to update individual event predictions. Information about the mental state predictions, and updates thereto, can be surfaced to the user accordingly.

Abstract: The embodiments disclose a medical product processing system including a first graphical user interface (GUI) coupled to an EHR platform and configured to display to a medical provider (MP) predefined conditions of a patient of the MP, a database with records stored therein containing predefined information relating to medical products related to the predefined conditions, a second GUI coupled to the database and configured to display to a medical product provider (MPP) adjustable condition trigger (CT) settings, wherein the adjustable CT settings are configurable by the MPP to associate a predefined condition with related predefined information, a processor coupled to the database, the first GUI and the second GUI, and wherein when the first GUI displays at least one condition to the MP, the processor automatically sends related predefined information from the database to be displayed on the first GUI based on the adjustable CT setting configured by the MPP.

Abstract: Information indicating what technology and service are necessary to solve issues is provided by a device including dictionaries recording words having similar meanings and concepts concept co-occurrences in which two of the concepts are combined, a classification of each of technology names and service names, and a score assigned to each of the classifications, a sentence input unit receiving a sentence representing an issue, a morpheme analysis unit performing morpheme analysis on the sentence and output morphemes, a concept conversion unit extracting a word from the morphemes and convert the extracted word to a concept, a classification identifying unit configured to sum scores of respective classifications in which a set of the extracted concepts and the concept co-occurrence match and identify the classification having a highest summed score, and a recommendation unit configured to obtain, from the name list, the technology names and service names belonging to the identified classification.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of safety signals in repositories of EMR information, identifying safety signals regarding therapeutics or therapeutics combinations administered to patients. In an embodiment, a method includes identifying, from a dataset of health care records, a first group of patients that received a drug; extracting one or more medical events that the first group experienced; identifying a second group of patients similar to the first group who have received one or more concomitant comparator drugs that address the same set of conditions that prevail in both the first group and second group; extracting one or more medical events that the second group of patients have experienced; and comparing the medical events of the first group to the medical events of the second group to determine statistically significant differences in occurrences between the groups.

Abstract: An interactive control unit is disclosed. The interactive control unit includes an interactive touchscreen display, an interface configured to couple the control unit to a surgical hub, a processor, and a memory coupled to the processor. The memory stores instructions executable by the processor to receive input commands from the interactive touchscreen display located inside a sterile field and transmit the input commands to the surgical hub to control devices coupled to the surgical hub located outside the sterile field.

Abstract: Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Abstract: Methods of assessing a performance of a provider include receiving, from a third-party system, claims data, applying one or more defined performance measures to the claims data to determine measure scores of one or more providers, the measure scores being related to key-clinical decision points within condition-based patient journeys represented in the claims data, outputting one or more data packages representing the determined measure scores, applying a principal components analysis to the one or more data packages to determine composite performance scores of the one or more providers based on the determined measure scores, wherein the determined composite performances scores are provider specific, generating a performance data package including the determined composite performance scores, and causing the determined composite performance scores to be displayed within a graphical user interface of an application of a client device.

Abstract: Systems, methods and non-transitory computer readable media for ownership determination in privacy firewalls are provided. A request of a user to perform an action for creating a new data collection using source data collections may be received. In response to the user not having permission to view at least part of at least one of the source data collections and the user not being an owner of the at least one of the source data collections, it may be determined that the user is not an owner of the new data collection, and in response to the user being at least an owner of the data collection or having permission to view the entire data collection for all source data collections, it may be determined that the user is an owner of the new data collection.

Abstract: A server is provided and is programmed to automatically determine, based on the identification data that uniquely identifies a patient device, whether there is an upgrade to the code or data (e.g., software or firmware) stored in the electronic memory of the patient device that can be applied thereto. In response to determination that there is an upgrade that can be applied, a data package is delivered to the patient device via the first wireless transceiver, the data package to be automatically applied to the electronic memory of the patient device.

Abstract: A method is disclosed whereby consumers enrolled in a prescription benefit plan can obtain prescription medication fulfillment at any participating pharmacy of their choice, regardless of whether the fulfillment is by a retail pharmacy or a mail order pharmacy, and whether the quantity of medication prescribed is for administration over a short period (acute care) or a prolonged period (maintenance). The plan of this invention operates by having the plan manager substantially equalize the financial effects of the discounts and services fees allowed to participating pharmacies such that both retail and mail order pharmacies are compensated in a manner which encourages them to accept all consumers and fill all prescriptions. Compensation is preferably adjusted periodically by the manager to retain pharmacy incentives. Consumers obtain choice of pharmacies, plan payers have pleased employees and members and pharmacies obtain income from the entire spectrum of consumers.

Abstract: An interdisciplinary health and wellness system for providing multiple disciplinaries on a single platform to develop a personalized interdisciplinary regimen for improving a user's health and wellness is disclosed. The user interacts with a user interface via a computing device to access information. A specialist may communicate with the user through a specialist interface via a computing device.

Abstract: A computer-implemented method includes receiving user input including codified knowledge management information and/or engine data; and processing the input using one or more trained machine learning models to generate one or more living documents. A computing system includes one or more processors; and a memory having stored thereon instructions that, when executed, cause the computing system to receive user input including codified knowledge management information and/or engine data; and process the user input using one or more trained machine learning models to generate one or more living documents. A non-transitory computer-readable storage medium includes executable instructions that, when executed by a processor, cause a computer to receive user input including codified knowledge management information and/or engine data; and process the user input using one or more trained machine learning models to generate one or more living documents.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that enable clients to create custom conditional segments on which other clients can claim a spot. In one aspect, a method includes receiving, from a device of a creator, attributes of a conditional segment created by the creator through an interface presented at the device. In response to receiving the attributes of the conditional segment, clients are notified that the conditional segment is available and the clients are enabled to claim a spot on the conditional segment. A determination is made whether to convert the conditional segment to a confirmed segment based on a number of spots claimed by the clients. Prior to converting the conditional segment to a confirmed segment, a given client is cancelled from the conditional segment in response to receiving, from the given client, a request to cancel the claimed spot.