Abstract: The present disclosure provides for the automatic measurement of measurable incidental routine parameters (MIRP). MIRP can include every movement of the body and a user's routine. This data can be incorporated into an accurate and comprehensive evaluation of a user's routine. The present disclosure functions by identifying normalcy for an individual in the consistency of habitual movement and behavior. This normalcy can become an indicator of wellness. Therefore, the present disclosure provides systems or methods which can objectively analyze a user's behavior to provide holistic predictors and analysis of a user's health.

Abstract: A data quality evaluation system can automatically detect one or more types of data anomalies or other data quality issues associated with a data processing system that may impact the quality of output generated by the data processing system. For example, the data quality evaluation system can detect data errors associated with data, detect when data is not received by the data processing system in compliance with defined schedules, detect when elements of the data processing system may be mishandling data, and/or detect when patterns of data does not correspond with historical patterns or validation data. By automatically detecting such data quality issues, technical issues or problems causing the data quality issues can be investigated and corrected.

Abstract: In some examples, a data aggregator and anonymizer is provided for selective encryption of test data.

Abstract: Data is received by an automated spoken language learning and assessment system that includes a passage of text comprising a response to stimulus material. Thereafter, at least one machine learning model is used to detect absent key points within the passage of text and/or location spans of key points in the passage of text. The at least one machine learning model can be trained using a corpus with annotated key points and a span for each key point. In addition, each of the detected key points is scored by at least one key point quality model to result in a corresponding key point score. Diagnostic feedback targeting content development skills is then determined based on the detecting and using the key point scores. Data can then be provided which characterizes such diagnostic feedback. Related apparatus, systems, techniques and articles are also described.

Abstract: A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.

Abstract: A method and system may provide an automated pharmacy processing system which automatically processes an electronic prescription by converting the electronic prescription into a pharmacy prescription record. In this way, an electronic prescription can be filled by a pharmacist without manual data entry. The system receives an electronic prescription and compares data from the electronic prescription with entries in one or more pharmacy database(s). When there is a match between the electronic prescription data and an entry in the one or more pharmacy database(s), the system populates the pharmacy prescription record with data from the matching pharmacy database entry. If all of the data fields from the pharmacy prescription record have been populated the pharmacist can fill the electronic prescription.

Abstract: A computer-implemented method for automated data record resolution includes: receiving an unmapped data record comprising a plurality of data fields, wherein at least one data field of the plurality of data fields causes a mapping error between the unmapped data record and a plurality of validated data records; generating, from the plurality of validated records, a resolution candidate record for the unmapped data record based on detecting the mapping error between the unmapped data record and the plurality of validated data records; and automatically re-assigning one or more data records of the computer database that are digitally associated with the unmapped data record to the resolution candidate record.

Abstract: Systems and methods for electronically tracking one's location, activities, and behaviors for use in organizations such as prisons are disclosed. A database stores inputted information and may be encrypted. The user may attach files, pictures, videos, or the like. The logbook may have emoticons for tracking travel, medications, bed checks, and sights and sounds. A master facility view enables data viewing of users in a facility. Offline data entry and the ability to share information with other users are present. Preferably, the system will be integrated with cameras and scanning devices present in an organization, such that the user may use the scanning device at the organization to track his or her location, which will then be automatically integrated into the electronic system. The system may comprise Quick Response codes unique to the user or biometric assistance to detect and store the location of the user at any given time.

Abstract: It is provided a method for checking quality of a treatment plan, wherein a treatment plan specifies a distribution of radiation to thereby provide radiation to a planning target volume. The method is performed by a quality assurance device and comprises the steps of: obtaining a treatment plan and a corresponding first dose, the treatment plan having been calculated in a treatment planning system, the first dose being a predicted dose to be deposited in the patient using the treatment plan; initiating a calculation of a secondary dose, being a dose deposited by the treatment plan, using a secondary dose calculation algorithm; repeatedly calculating a confidence interval of a comparative statistical measurement by comparing the first dose and the secondary dose over a defined geometric volume; and interrupting the calculation of the secondary dose when the confidence interval is better than at least one predefined criterion.

Abstract: Systems and methods are provided for providing a personalized therapeutic presentation. A system includes a treatment presentation data store configured to store one or more data structures associated with a personalized therapeutic presentation for a client, where the one or more data structures include client biographic data, client symptom data, client goal data, and media data. A treatment generation engine is configured to generate a treatment presentation for the client based on data stored in the treatment presentation data store, wherein the treatment presentation is designed to treat a symptom identified by the client symptom data to achieve a goal identified by the client goal data, where the treatment presentation comprises a sequential presentation of media identified by the media data that is selected to treat the symptom to achieve the goal.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: The present invention relates to latency compensation for image processing devices. In order to assign overlay data to frames of a raw image stream (210), past frames within a selection of frames of the raw image stream are considered, which past frames already underwent image processing. A current frame of the raw image stream (210) is compared to the past frames contained in the selection of frames, and that one of the past frames is identified that is most similar to the current frame. Overlay data from the identified past frame are chosen and assigned to the current frame. Thus, the current frame can be presented together with the assigned overlay data chosen from the most similar past frame and without the need to wait for the result of a computationally expensive and time-consuming image processing of the current frame.

Abstract: Disclosed herein is a doorway that facilitates passage from an inside to an outside, and which includes a barrier that moves between opened and closed positions based on commands sent by a computer. Sensors measure signals indicating whether a first user is on the outside, and whether a second user on the inside. The computer detects that the first user is on the outside and receives, from a device of the first user, an indication indicating the first user is healthy. The computer detects whether the second user is on the inside, and commands the barrier to move to the opened position if: (i) the second user is not on the inside, or (ii) the second user is on the inside and the computer receives, from a device of the second user, an indication indicating the second user is healthy.

Abstract: A method of determining and displaying an area of interest of a digital microscopic tissue image from a plurality of the same, the images jointly forming a patient-specific image record, includes: displaying an initial area of interest of a particular image on a primary screen; accepting touch gestures from the user on a touch-based input device positioned substantially horizontally at the desk; upon receiving a touch gesture from a first class of touch gestures, determining an updated area of interest within the particular image and displaying the updated area of interest of the particular image on the primary screen; and upon receiving a touch gesture from a second class of touch gestures, switching from the particular image to a different one of the images and displaying an initial area of interest of said different one of the images on the primary screen.

Abstract: In one embodiment, a process: monitors an access pattern of database objects on a user-connection basis; calculates a wait-time metric for database sessions for the objects; classifies a first number of often-used objects and a second number of not-recently-used objects; classifies the wait-time metric for the database sessions as a wait-time classification that is one of either: an acceptable wait-time metric, a warning-level wait-time metric, or a critical-level wait-time metric; and generates a graphical interface that indicates, for each user-connection pairing of the particular database, an associated wait-time metric and a graphical indication of an associated wait-time classification, as well as an associated first number of often-used objects and an associated second number of not-recently-used objects.

Abstract: A method, apparatus and computer program product are provided for partitioning prescription transaction costs in an electronic prescription transaction by determining a credit amount to be applied to prescription transaction, based on an alternative cash price. In circumstances which an associated prescription claim is rejected or determined to be likely rejected, such as due to a requirement for prior authorization, a patient may still be motivated to purchase a prescription via a cash transaction, particularly with the credit amount applied. The prescription transaction may be reformatted to indicate a cash transaction and include the credit amount, and may exclude benefit information. The credit amount and a reformatted prescription transaction may be transmitted to the pharmacy computer or other third party computer.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts (e.g., machine learning models) to determine predicted taxonomy-based classification scores for claims and dynamically update data fields based on the same.

Abstract: A method, computer program product, and computing system for: monitoring a meeting between a patient and a medical entity during a medical encounter; gathering information during the medical encounter, thus generating gathered encounter information, wherein the gathered encounter information includes video-based content of the patient; generating video-based content information via artificial intelligence, wherein the video-based content information is based at least in part upon the video-based content and/or the gathered encounter information and is configured to provide guidance to the medical entity concerning the video-based content; and providing the video-based content information to the medical entity.

Abstract: Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

Abstract: An alarm threshold setting suggestion method, a system and a monitor are provided in the disclosure. The method includes: obtaining monitoring data of a patient, determining whether the current alarm threshold associated with a monitoring parameter needs to be adjusted or not according to the monitoring data, and if yes, generating threshold setting suggestion information according to the monitoring data and the current alarm threshold associated with the monitoring parameter; and outputting the threshold setting suggestion information. In this way, not only is the user prompted to adjust the alarm threshold, but also the threshold setting suggestion information is provided for user reference, which are beneficial to relieving the problem of alarm fatigue.

Abstract: Data related to the adherence of a patient to a therapy regime can be collected from multiple medical devices, each of which may have an incomplete data set with data entries associated with times. Each incomplete data set represents a portion of a complete data set. The data sets can be integrated to create a complete data set with data entries from each incomplete data set being arranged in a temporal sequence with respect to one another. A report may be generated, the report having the data entries of the complete data set or a function of the data entries of the complete data set.

Abstract: A method, apparatus and computer program product are provided for partitioning prescription transaction costs in an electronic prescription transaction by determining a credit amount to be applied to an adjudicated prescription claim. The credit amount may be applied based on a co-pay amount provided by an adjudication computer and/or historical data, and may be adjusted according to an alternative cost obtained from an alternative cost data source. The alternative cost may be a cost for which a government sponsored plan can obtain the prescription. The remaining patient pay amount may be transmitted to a pharmacy computer such that a patient can purchase the prescription for a discounted cost.

Abstract: A method including retrieving an information for a subject, the information comprising a disease of the subject, a subject condition, and a previous condition. The method includes parsing a contract between a provider and a payor to identify a measurable value and identifying a contract success factor and a social determinant for the disease in the subject based on the subject condition, the measurable value, the previous condition, and the contract. The method also includes identifying multiple options available for the provider in a treatment of the disease in the subject. The method also includes identifying an expected condition based on the performance parameter and on the disease of the subject, and providing a recommendation to the provider for an action to improve the expected condition. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

Abstract: A modality controlling apparatus according to an embodiment includes a display and a processing circuitry. The display is configured to display an input object for inputting an instruction for controlling a first modality and a status object indicating a status related to a second modality. The processing circuitry is configured to display the input object in a first section of the display and to display the status object in a second section of the display which is a section smaller than the first section.

Abstract: Aspects of the present invention relate to facilitating remote expert consultation using a web site that provides for video conferencing between clients and experts who are have been vetted through registration in the system. Some aspects relate to transmission of correlated physiological characteristic data simultaneously with a video conference. Some aspects relate to control of conferencing functions through client and expert web pages.

Abstract: A system and method for individual administration of a brain programming session including providing a device to provide visual, haptic, and audio stimuli to an individual at relevant times during the brain programming session. The system and method further include providing a list of directives configured to be executed by the individual during the brain programming session. The list of directives may reduce the individual's emotional responses to past events and conditions or to program mindsets and emotions for future performances and events. While executing the list of directives, the individual will experience visual, haptic, and audio stimuli provided by the device. Completion or partial completion of a list of directives results in brain activity being more balanced across brain regions when experiencing past events or conditions that yield an emotional response or when experiencing future performances and events for which the individual has programmed mindsets and emotions.

Abstract: An electronic processing system agent accesses population health literacy data from at least 100 individuals pertaining to assessed health literacy of members of the population, and demographic data from the population corresponding to age, race, and education level. The agent collects skills data from the patient corresponding to a set of questions relating to skills needed for understanding therapeutic instructions, and personal data relating to the patient's age, race, and education level. The agent carries out a polytomous logistic regression using the collected population health literacy data, demographic data, skills data, and personal data to assign a health literacy level to the patient corresponding to one of a plurality of groups, and communicates a strategy for the patient corresponding to the patient's assigned health literacy level, in real time, to enable the patient to have a communication of therapeutic instructions when the patient has responded to the set of questions.

Abstract: The present disclosure describes an exemplary system and method for the digitization of tissue slides based on associations among serial sections. The system includes at least a computing device, wherein the computing device includes a memory and processor communicatively connected to one another, and a scanner, configured to scan a slide and send a digitized image of the slide to the computing device. A method for the digitization of tissue slides based on associations among serial sections may include receiving a candidate tissue map associated with a candidate tissue section, receiving a reference tissue map associated with a reference tissue section, aligning the candidate tissue map to the reference tissue map, comparing the aligned candidate tissue map to the reference tissue map, and generating a regenerated candidate tissue map as a function of the reference tissue map.

Abstract: A system for health services is provided. When a provider partners with the system the provider is assisted with the creation of an introduction video explaining their practice. The provider may also be assisted in the creation of videos that correspond to the top conditions or diseases treated by the provider as well as the top medicines that are prescribed. When a patient schedules a health service, the patient is initially provided the introduction video for the provider. During the health service, the system collects the health data entered or spoken by the provider. Based on the monitored data, the system automatically recommends relevant videos or content that may be included in a report for the patient. After the health service is completed, the system may further assist the provider in creating a video that explains the diagnosis and recommended treatment regiments.

Abstract: A public event administrating system is disclosed. The public event involves a plurality of individuals and the administrating system includes: a data collecting module, a data processing module, a medical resource scheduling module, and a grid administrating module. The data collecting module is configured to acquire initial data about the public event from a plurality of data sources. The data processing module is configured to process the initial data to acquire processed data. The medical resource scheduling module is configured to receive an individual service request and allocate currently available medical resources to an individual requesting service at least according to the individual service request. And, the grid administrating module is configured to divide a geographic region managed by the administrating system into a plurality of grids, and assign a plurality of grid administrators to the plurality of grids to respectively administrate individuals in the plurality of grids.

Abstract: Encrypting a verifiable credential (VC) and generating one or more instructions, at least one of which grants a scope of permission associated with the VC to the relying entity. The scope of permission includes permission to access a subset of data contained in the VC or a portion of data that can be derived from data contained in the VC. The encrypted VC and the one or more instructions are sent to the credential issuer or the relying entity to cause the credential issuer to generate a response containing the subset of data or the derived data and a proof code. The proof code is configured to prove the validity of the subset of data or the derived data.

Abstract: A real-time temporal convolution network (RT-TCN) algorithm reuses the output of prior convolution operations in all layers of the network to minimize the computational requirements and memory footprint of a TCN during real-time evaluation. Further, a TCN trained via the fixed-window view, where the TCN is trained using fixed time splices of the input time series, can be executed in real-time continually using RT-TCN.

Abstract: An embodiment relates to a system of a vehicle comprising a first vehicle ecosystem module comprising a first communication system and a first vehicle ecosystem unit comprising a local environment matrix, and a global governance module that is internal or external to the system, wherein the global governance module comprises a learning agent and a second communication system comprising a protocol unit, wherein the learning agent is configured to learn continuously and update rules for an outcome of the first vehicle ecosystem module when power in the vehicle is turned on, wherein the system is configured for autonomous communication between the first vehicle ecosystem unit and a second vehicle ecosystem unit, wherein the second vehicle ecosystem unit is either internal or external to the system.

Abstract: A medical treatment support apparatus according to one embodiment includes processing circuitry. About a treatment plan for a disease of a patient, the processing circuitry predicts a decision of subjects who are the patient or people who are involved with the patient and a decision of a doctor who determines the treatment plan for the subject. The processing circuitry presents information based on a result of the prediction to the doctor and at least one of the subjects.

Abstract: Surgical kit inspection systems and methods are provided for inspecting surgical kits having parts of different types. The surgical kit inspection system comprises a vision unit including a first camera unit and a second camera unit to capture images of parts of a first type and a second type in each kit and to capture images of loose parts from each kit that are placed on a light surface. A robot supports the vision unit to move the first and second camera units relative to the parts in each surgical kit. One or more controllers obtain unique inspection instructions for each of the surgical kits to control inspection of each of the surgical kits and control movement of the robot and the vision unit accordingly to provide output indicating inspection results for each of the surgical kits.

Abstract: Provided are an information processing apparatus, an information processing method, and a program capable of performing analysis of a text with high accuracy. An information processing apparatus includes one or more processors and one or more memories that store a command executed by the one or more processors. The one or more processors are configured to acquire a text, classify attributes of information described in the text into a fixed unit of the text, analyze the text for each of the same classifications based on a result of the classification, and output a result of the analysis.

Abstract: Systems and processes for synchronizing disparate applications are described herein. In various embodiments, the process includes: (1) receiving and validating a log-in request; (2) receiving a request submission comprising a plurality of data items; (3) writing the plurality of data items into a dynamic and scalable data model; (4) determining request parameters associated with the plurality of data items; (5) determining a recommended deployment strategy based on the one or more parameters and characteristic values stored in the data model; (6) generating a and transmitting one or more notifications according to the recommended deployment strategy; and (7) generating and/or modifying a display based on the notification(s).

Abstract: Systems and methods for operating a communication device. The methods comprise: receiving a signal at the communication device; performing, by the communication device, one or more machine learning algorithms using at least one feature of the signal as an input to generate a plurality of scores (each score representing a likelihood that the signal was modulated using a given modulation type of a plurality of different modulation types); assigning a modulation class to the signal based on the plurality of scores; determining whether a given wireless channel is available based at least on the modulation class assigned to the signal; and selectively using the given wireless channel for communicating signals based on results of the determining.

Abstract: An information processing system includes a user terminal that receives input from a user; an operator terminal that receives input from an operator; and one or more information processing apparatuses connected to the user terminal and the operator terminal. The information processing system includes circuitry configured to: acquire identification information from the user terminal and input information input to the user terminal; search response information for the input information; respond to the user terminal with the response information in response to the input information; determine, based on the identification information acquired from the user terminal, whether to perform a switching operation to perform a chat between the user terminal and the operator terminal; and control the switching operation based on a determination result.

Abstract: An electronic prescription processing system capable of direct two-way electronic communications between a physician practice management system and a pharmacy system uses a multi-path clearinghouse. In one example, the multi-path electronic prescription processing system creates electronic prescriptions with an electronic signature and allows for the interface with the pharmacy computer system such that an image of an electronic prescription and prescription information are directly auto-populated into an entry screen of the pharmacy computer system including specific queries being resolved by the multi-path clearinghouse.

Abstract: A single- or multiple-user messaging-based logging system automatically incorporates external data and ensures that every communication has complete metadata of relevant metrics, enables easy real-time visualization and reflection on those metrics, and ensures that the structured log entry is recorded by understanding the natural communication (text, voice, images, etc.) among participants without requiring a separate step of logging the action. In embodiments, one or more devices are alerted immediately based on which caregivers are predicted via sensors and automatic and manual configurations are most likely to be able to meaningfully and quickly correct the alertable condition. Embodiments also leverage feedback about the correction of the alertable condition to terminate alerts on other devices or feedback about the non-correction of the alertable condition to re-assign and escalate an alert to other devices and caregivers for them to have a follow-up chance to correct the alertable condition.

Abstract: A method, computer program product, and computing system for: monitoring a meeting between a patient and a medical entity during a medical encounter; gathering information during the medical encounter, thus generating gathered encounter information; generating medical encounter topical information via artificial intelligence, wherein the medical encounter topical information is based at least in part upon the gathered encounter information and is configured to provide guidance to the medical entity concerning one or more topics to be discussed during the medical encounter; and providing the medical encounter topical information to the medical entity.

Abstract: Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes identifying that a first prescription drug prescribed to a first patient, identifying a first date and a second date related to the first prescription, the second date occurring after the first date, both the first and second dates depending on a previous fill of the first prescription drug, identifying, at the processor, a third date associated with a second prescription, comparing, at the processor, the third date to the first and second dates to determine whether the third date occurs after the first date and before the second date, and filling and dispensing the first prescription drug and the second prescription drug on the same dispense date when the third date occurs after the first date and before the second date.

Abstract: Described herein are a system, method, and device for configuring a generative machine learning model using a syntactic interface. A system may include a user interface, a memory, and a processor configured to, using a syntactic interface displayed using the user interface, receive a syntactic interface input from a user; identify an electronic medical record (EMR) by generating an EMR database query as a function of the syntactic interface input, querying an EMR database using the EMR database query, and receiving, from the EMR database, an EMR database response; generate a prompt as a function of the syntactic interface input; generate a first generative model output as a function of the prompt and the EMR using a trained generative machine learning model; and using a conversational interface displayed using the user interface, display the first generative model output to the user.

Abstract: A method, computer program, and computer system are provided for text summarization that maintains emotional content. Data corresponding to text to be summarized and a target emotion to be maintained in the text to be summarized is received. The target emotion is encoded as an emotion probability vector. One or more words that correspond to the target emotion that is encoded in the emotion probability vector are identified from a dictionary. A text summary to be associated with the text to be summarized is generated based on the one or more identified words.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

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: 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: The systems and methods of the disclosure can rapidly and automatically determine and monitor tracking events by generating event codes using messages from multiple source systems within the healthcare ecosystem. The method may include detecting one or more healthcare data messages of a plurality of types of healthcare data messages associated with healthcare of a patient. The method may include extracting text of each message of the first type and processing the extracted text of each message to determine one or more units of text. The method may include determining one or more tracking events by applying one or more trained models to each unit of text of each message. The method may include storing one or more event codes corresponding to the one or more tracking events and its associated deadline in a record for the patient of the tracking event database.

Abstract: Methods and systems create a data asset generator based on a knowledge-graph-based recommendation engine to present data asset type options to a user generating a data asset. The data asset type options are contained in a template. The user is required to use the templates generated by the system when creating a data asset. The templates are based on ontologies, which are based on a knowledge graph that stores the relationships between data asset types. Data asset types correlate to data asset characteristic clusters, which are clusters of keywords from previously generated data assets. The templates may help users select relevant data asset types and ensure regulatory compliance. By requiring a user to modify or adapt the template, data assets being generated may be standardized among previously generated data assets and data assets being generated, which may reduce querying conflicts and improve the readability and interoperability of datasets.