Abstract: Systems and methods provide for an automated system for determining whether claims related to an insured item should proceed to an arbitrating body. A virtual assistant (also referred to herein as an “arbitration assessment assistant”) installed in a computing device (e.g., computer, laptop, tablet computer, mobile phone, etc.) may be responsible for managing and assisting an insurance representative (e.g., an insurance adjuster, subrogation representative, etc.) in determining liability and fault relating to a claim, conducting a subrogation process, and ultimately determining whether the claim should be submitted for arbitration. In one or more aspects discussed, herein the process may be fully automated.

Abstract: A user interface for a physician or other health care provider to follow up with high-risk patients recently discharged from the emergency department (ED) and update the patient's health care record using the physician or provider's mobile or end user device is described. The user interface is generated after extracting patient detail batch information at a pre-defined time interval for one or more past patients from an electronic medical records (EMR) database or other patient information database into a medical activity tracking batch database, and constructing a real-time database from streams of real-time Health Level 7 (HL7) clinical administrative data, wherein at least one stream of real-time HL7 clinical administrative data is associated with at least one high-risk patient in a recent medical encounter and at least one stream of real-time HL7 data comprises daily schedule information associating at least one clinician with the at least one high-risk patient.

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: Similar pre-stored medical datasets are identified by comparison with a current case dataset. A current case dataset is provided and includes radiological data of a patient. A number of pre-stored medical datasets each including radiological data of other patients are provided. Each case dataset is evaluated according to a predefined AI-based method to obtain a number of definitive features for that case dataset. The definitive features of the current case dataset are compared with the definitive features of each pre-stored medical dataset to identify a number of pre-stored medical datasets most similar to the current case dataset. The identified number of most similar pre-stored medical datasets are output.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for assigning medical codes. The exemplary embodiments may include receiving a medical record in machine-readable text-form, wherein the medical record comprises at least one treatment, converting a portion of the medical record into a determined first medical code of a first length, querying a knowledge graph comprising medical records and a coding catalog for a second medical code of higher order than the first medical code, wherein the second medical code relates to the first medical code, and searching evidence in the medical record for the second medical code by comparing at least a portion of clear text relating to the second medical code with the medical record.

Abstract: A device is configured to process medical-event related information, such as associated with a medical code event, such as by receiving medical-event related information, recording medical event information with timestamps, generating additional medical information, displaying medical events and additional medical information on media display, visual indicators, and user devices to provide real-time notifications of recorded and reminders for upcoming medical events, and sending medical events with timestamps and additional medical information to other devices for further processing. The device may be configured as a code clock which includes an analog clock.

Abstract: An example computer-implemented method of increasing veterinary health care compliance includes receiving information indicating that an animal patient concluded a visit at a veterinary practice, in response accessing diagnostic test results for the animal patient, based on the diagnostic test results creating a pet owner profile for an owner of the animal patient, matching the pet owner profile with a stored message and stored information relating to a product associated with recommended treatment for the animal patient, sending an electronic message to a second computing device associated with the owner of the animal patient that includes the stored message and the stored information relating to the product associated with recommended treatment for the animal patient, receiving a report indicating whether the owner of the animal patient obtained the product associated with recommended treatment for the animal patient, and updating the pet owner profile to be indicative of the report.

Abstract: A first patient intervention is identified. The first patient intervention regards a first patient record that includes one or more attributes related to a first patient. The first patient intervention is transmitted to a first program split of a secure multi-party computation. A conflict is detected in the first patient intervention and an existing medical situation regarding the first patient. The conflict is detected by the first program split of the secure multi-party computation and by a third program split of the secure multi-party computation. Based on the detected conflict, a notification is generated by the first program split. The notification is based on the detected conflict. The notification based on the detected conflict is provided to a first client.

Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.

Abstract: An endoscope apparatus that includes a storage memory storing first authentication information, a transmitter/receiver that performs communication with an endoscope, and an operational device. The operational device performs a process including acquiring the first authentication information stored in the storage memory and acquiring second authentication information stored in the endoscope connected to the endoscope apparatus from the endoscope. The operational device further performs determining whether the acquired first and second authentication information match each other, and limiting execution of at least some functions among a plurality of functions to be executed in cooperation with the endoscope in response to determining that the first and second authentication information do not match each other.

Abstract: Methods, systems, and computer-readable media are disclosed herein for automatically identifying and selecting, based on machine learning model(s), one or more patient educations instructions as suggested smart recommendations for a particular patient, based on parameter matching and filtering with other patient parameters. The parameters of a current patient can be automatically matched to parameters that are associated with other patients, on a one-to-one parameter basis or based on specific combinations parameters. Based on the presence of one or more shared parameters between a current patient and other patients as well as the strength of the parameter match, one or more instructions that were provided to the other patients can be recommended for the current patient automatically. Instruction(s) selected for the current patient can then be stored in association with the parameters of the current patient and used to evaluate and make recommendations for subsequent patients.

Abstract: A computer implemented method includes obtaining a schema defining variables representing patient treatment experiences for one or more health conditions, obtaining data from historical patient treatment experiences, the data being arranged in accordance with the schema, training a machine learning system based on a training set of the data for a specified time-period, and generating a model from the trained machine learning system, the model being based on variables selected by the trained machine learning system to predict patient treatment experiences for the one or more health conditions.

Abstract: Healthcare transaction validation systems and methods are presented. Healthcare transactions associated with a stakeholder are compiled into a chain of healthcare transaction blocks. The chain can be considered a chronicle of person's healthcare path through life. When a transaction is conducted, the corresponding healthcare parameters (e.g., inputs, outputs, clinical evidence, outcomes, etc.) are sent to one or more validation devices. The devices establish a validity of the transaction and generate a new block via a proof-of-work principle. Once the new block has been calculated it can be appended to the stakeholder's health care blockchain.

Abstract: The present disclosure allows continuously verifying user identity in clinical trials via a voice-based user interface. Voice input to a microphone is monitored. When an utterance in the monitored voice input is detected, voice recognition is applied to the detected utterance to determine a probability of the identity of a user uttering the detected utterance matching an identity of a previously set up clinical trial participant. When the probability satisfies a predetermined probability rule, the identity of the user is declared to be successfully verified as the previously set up clinical trial participant, and clinical trial entries are collected via a voice-based user interface while applying the voice recognition to each received clinical trial voice input.

Abstract: The invention relates to a computer-implemented method for providing a trained function (36) to determine a treatment.

Abstract: A computer-implemented method for dynamically managing electronic transactions of pet homing data is disclosed. The method includes receiving a pet selection, sending a confirmation indicating that the pet has been homed, determining whether at least one pet owner profile corresponding to at least one user record exists in a data store, in response to the determining that the at least one pet owner profile does not exist in the data store, creating a new pet owner profile based on the at least one user record, determining whether the at least one pet profile corresponding to at least one pet record exists in the data store, in response to determining that the at least one pet profile does not exist in the data store, creating a new pet profile based on the at least one pet record, and associating the new pet profile with the new pet owner profile.

Abstract: A client device presents a user interface including a macro entry field for defining a macro indicator from a plurality of macro indicators and transmits the macro indicator. A server stores a database of macro-based diagnoses, each macro-based diagnosis associated with one or more elements of an accession, and one or more specimens associated with the accession. The server also receives the macro indicator from the client device, retrieves an initial diagnosis from the database of macro-based diagnoses responsive to the macro indicator, and transmits the initial diagnosis. The client device, receives the initial diagnosis, pre-populates one or more text boxes on the user interface with information from the initial diagnosis, and enables the user to edit the pre-populated one or more text boxes.

Abstract: Transaction validation includes assigning respective asset stake values to computing assets of network services. A request to assign a transaction validation stake to a transaction validator is received. At least some of the computing assets are assigned to the transaction validator. Responsive to a request for one or more transaction validators, a response that includes an indication of the transaction validator is provided. The transaction validator is selected using the respective asset stake values of the at least some of the computing assets that are assigned to the transaction validator.

Abstract: An electronic medical record (EMR) analysis machine automatically clusters electronic medical records to produce an initial EMR analysis model and to identify high-value EMR documents such that human analysts can focus effort on labeling only high-value EMR documents to iteratively and extremely efficiently train an EMR analysis model. High-value sample EMR documents are identified as those whose membership in one or more clusters is most ambiguous, i.e., nearest the cluster boundary.

Abstract: A system to transparently and efficiently coordinate a process across at least two independent Picture Archiving and Communication System (PACS) to allow interoperability of the PACS to acquire, retrieve, transmit, store and/or display medical images of patients. The system includes: (1) a rule engine defining a set of transformation rules for data related to the images; (2) a data unification and transformation engine identifying and resolving any conflict of the data, and tracking and assigning a unique super-identity or super-value to the data; (3) at least one database storing a list of the data and the tracking and assignment of the super-identities or super-values; (4) a security framework that controls access to the data; and (5) a control engine performing the process steps.

Abstract: Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

Abstract: The present invention is to provide a system and a method for integrated usage of personal data capable of increasing the usability of personal data of a personal data user and a data subject by allowing the data subject of the personal data to confirm a corresponding usage request list and approve the usage of the personal data with respect to the data usage request of the personal data user.

Abstract: A method, computer system, and computer program product are provided for network risk analysis. A plurality of risk reports relating to a network device in a network are obtained, wherein each risk report is associated with a particular dimension of a plurality of dimensions of risk for the network device in the network. A count of the plurality of risk reports is determined for each dimension of the plurality of dimensions of risk. A regression model is applied to determine a risk value for the network device in the network based on the count of the plurality of risk reports for each dimension and based a role of the network device in the network.

Abstract: A system, method, and a computer program product for generating a clinical summary of a patient using artificial intelligence is provided. A patient data that includes unstructured data and structured data is collected from multiple computing devices. Natural language processing models determine clinical issues from the unstructured data. Active clinical issues are determined from the clinical issues. A knowledge graph generated using a relational language model determines treatments associated with the active clinical issues. Active diagnostic and treatment orders are determined from the structured data. Multiple summaries summarizing the active clinical issues, treatments, active diagnostic orders, and active treatment orders are determined using natural language generation models trained to summarize multiple tasks. The multiple summaries are aggregated into a single summary.

Abstract: The present disclosure relates to systems and methods for determining one or more appropriate treatment facilities for patient placement. A machine learning system may perform operations. The operations may receive a patient data set including patient attributes and patient location metrics; access a plurality of data sets for a plurality of medical facilities, the plurality of data sets include facility capacity, location, and capability metrics for each of the plurality of medical facilities; apply a model to match the patient data set with at least one of the plurality of medical facility data sets based on at least one of the patient attributes and patient location metrics and at least one of the facility capacity, location, and capability metrics; determine, based on the application of the model, one or more likelihoods of acceptance associated with each match.

Abstract: Disclosed are a system, method and apparatus to generate service codes based, at least in part, on electronic documents. In an embodiment, tokens may be embedded in an electronic document based, at least in part, on a linguistic analysis of the electronic document. Likelihoods of applicability of service codes to the electronic document may be determined based, at least in part, on the embedding of tokens.

Abstract: Embodiments are disclosed that enable an electronic device to instruct as user how to user one or more noninvasive sensors to measure one or more physiological parameters of a patient. In one embodiment, the measured parameters are used to obtain a diagnosis, such as a diagnosis of a critical congenital heart defect.

Abstract: A method of displaying medical information, includes: displaying a first interface; determining a target patient in response to at least a first operation of a user on the first interface; displaying a second interface in a currently set display mode; and determining a target index item in response to a second operation of the user on the second interface, and displaying medical information of the target patient matched with the target index item. The second interface presents at least index item(s) of medical information of the target patient. The target index item is one of the index item(s). The currently set display mode is one of at least two display modes including a first display mode and a second display mode, and the index items on the second interface corresponding to different display modes are different.

Abstract: Systems and methods in this document describe a mental health management system. The mental health management system accesses patient data associated with a patient from a database, determines that the patient is associated with a trigger event, generates a prediction, using a predictive modeling system trained to analyze the patient data, the prediction corresponding to a probability that the patient's current medication data will be modified, stores the prediction in association with the patient data, and transmits the prediction to a computing device.

Abstract: A communication method and a method for operating the communication network are disclosed. The method includes: obtaining a network identifier (NI) for a first member of the communication network, where the first member is un-validated and associated with a first user; obtaining a vote value regarding the first user from a second user of a second member in the communication network, where the second member is validated; generating a trust score for the NI based on the vote value; and validating the first member, in response to the trust score satisfying a trust score threshold, by inserting a first validated member identity hash block (MIHB) based on the NI into a master blockchain ledger for the communication network.

Abstract: It is inter-alia disclosed a method performed by at least one apparatus, said method comprising receiving or causing of receiving a connection establishment message from at least one external apparatus or transmitting or causing of transmitting the connection establishment message to the at least one external apparatus; obtaining or causing of obtaining a decentralized identifier representative of the external apparatus based on the connection establishment message; obtaining or causing of obtaining at least one hash value generated based on at least part of the obtained decentralized identifier; storing or causing of storing the at least one hash value in association with at least part of the decentralized identifier in a securitized portion of a memory of a distributed ledger system comprising the peer-to-peer network based on a consensus processing involving at least a subgroup of the nodes of the peer-to-peer network.

Abstract: Systems, methods, and computer-readable media are configured to auto-populate pharmacy SIG codes based on pattern matching model in a pharmacy system. The prescriptions including one or more fields of prescription information in natural language are received in the system. The prescription information can be parsed according to rule-based pattern matching model. The parsed prescription information can be mapped to a token SIG using rule-based pattern matching model dictionaries. A prescription SIG code based on each of the token SIG can be generated. A confidence value of the prescription SIG code based on character coverage of the prescription can be calculated.

Abstract: The field of the invention relates to a system to provide artificial intelligence processing of a dental image for determining a relative health risk, i.e. the probability of getting a human disease based on dental x-ray pathologies. The dental image or image (received from a source such as an x-ray, a camera, or an image capturing device) may be matched to a known computer stored genomic pathology dataset, such as a DNA dataset or a RNA dataset. Anatomic variances on a dental x-ray, such as periodontitis (bone disease associated with teeth), can be matched and identified to a known genomic pathology dataset, such as a diabetes DNA dataset, by an artificial intelligence system to produce at least one of: a relative pathology health risk, a treatment recommendation, a product recommendation for an individual patient.

Abstract: A system and method that identifies delayed infusion programs at an infusion pump or with a first computer and an infusion pump. The first computer receives an infusion auto-program from a remote source, transmits the infusion auto-program to the infusion pump, and sends a stale auto-program to the infusion pump. The infusion pump receives a manual infusion program, saves and executes the manual infusion program, and compares the stale auto-program to the manual infusion program to identify potential matches between the stale auto-program and the manual infusion program. The infusion pump evaluates the potential matches and determines if the potential matches are within a predefined tolerance, continues to execute the at least one manual infusion program on the infusion pump if the potential matches are within the predefined tolerance, and remotely saves differences in the manual infusion program and the at stale auto-program in a remote server for later analysis.

Abstract: A computer-assisted method to timely provide notifications of treatments, the method including receiving de-identified longitudinal medical records, each de-identified longitudinal medical record representing a record of a different anonymized patient and encoding information identifying a treatment received by the anonymized patient and receiving notification data including notification records, each notification record encoding information identifying a channel through which the notification was provided. The method includes determining a first channel impact model representing an impact of a notification provided through a first channel on a treatment being received, a second channel impact model representing an impact of a notification provided through a second channel on a treatment being received, and determining a multi-channel impact model representing an impact of notifications being provided through both the first channel and the second channel on a treatment being received.

Abstract: A remote patient monitoring system and method collects patient healthcare information to create a digital healthcare representation. The remote patient monitoring system communicatively couples various medical devices through a remote healthcare gateway (RHG) to a cloud-base management server, so that the output of those medical devices may be integrated into the digital healthcare representation in real-time. A subset of the digital healthcare representation is used to generate a replicate model which is communicatively coupled to a third party cloud component.

Abstract: Methods and systems for determining a dental treatment difficulty in digital treatment planning. The methods may include calculating tooth position changes from an initial dental model to a target dental model in a mouth quadrant of a patient's dentition. The changes in position may be determined by projecting distances between initial positions and subsequent positions of teeth onto an arch line of the initial dental model. A treatment difficulty of anterior-posterior (A-P) correction may be determined for the mouth quadrant based on an average change in position, wherein a greater average change in position is associated with a higher treatment difficulty of A-P correction. The digital treatment plan may be adjusted so that a provider skill level meets or exceeds the treatment difficulty of A-P correction.

Abstract: An authentication system includes at least one processor configured to execute authentication based on pieces of first information registered in advance and pieces of second information associated with the first information, select, when a piece of the second information is to be assigned to a user, a plurality of candidates that are some of a plurality of registered pieces of the second information, and assign, as the user's piece of the second information, one of the plurality of candidates that is unassociated with pieces of the first information that are the same as or similar to a user's piece of the first information.

Abstract: Methods and systems for configuring a plurality of infusion pumps according to a functional set. A method includes implementing a plurality of infusion pumps, each of the infusion pumps configured to administer medication to a patient, implementing a drug library, the drug library including at least one functional set defining a set of medications, receiving input data related to one of the at least one functional sets, obtaining a particular set of medications from the drug library corresponding to the input data, programming the plurality of infusion pumps according to the set of medications, and infusing the patient with the plurality of infusion pumps.

Abstract: Computer methods and systems for quantifying a nucleic acid sample comprising nucleic acid of one or more contributors to: receive nucleic acid sequence reads obtained from the nucleic acid sample and mapped to alleles at polymorphism loci; determine, using the nucleic acid sequence reads, allele counts for each of the alleles at the polymorphism loci; use a probabilistic mixture model that applies a probabilistic mixture model to the allele counts, and that uses probability distributions to model the allele counts at the polymorphism loci; quantify, using the probabilistic mixture model, one or more fractions of nucleic acid of the one or more contributors in the nucleic acid sample; determine a probability that a specific contributor among the one or more contributors has a specific genotype; and call, based on the posterior probability, that the nucleic acid sample includes nucleic acid from the specific contributor.

Abstract: The following relates to an improved system and method for displaying medical information. In one aspect, a root concepts circle including at least one clinical concept category is displayed. A children concept ring, which may be built based on a user-selected clinical concept category of the at least one clinical concept categories, may surround or partially surround the root concept circle. A ring fashion timeline may also be displayed, and may be built based on a user-selected clinical concept of the at least one clinical concepts.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example predictive workflow analytics apparatus includes a data store to receive healthcare workflow data including at least one of a schedule or a worklist including a patient and an activity in the at least one of the schedule or the worklist involving the patient. The example apparatus includes a data access layer to combine the healthcare workflow data with non-healthcare data to enrich the healthcare workflow data for analysis with respect to the patient. The example apparatus includes an inferencing engine to generate a prediction including a probability of patient no-show to the activity by processing the combined, enriched healthcare workflow data using a model and triggering a corrective action proportional to the probability of patient no-show.

Abstract: Methods, systems, and computer-storage media are provided for determining an individual's second event risk score where the second event risk score represents a likelihood that the individual will experience the second event within a predetermined time period after the occurrence of a first event. Upon occurrence of the first event, a sampling protocol is initiated where an electronic medical record store is accessed on a predetermined schedule to sample a pre-selected set of medical data elements for the individual. Logistic regression analysis is executed on the pre-selected set of medical data elements to generate a second event risk score for the individual. The second event risk score is communicated to a medical professional managing the medical care of the individual, and the individual's electronic medical record is modified to reflect the second event risk score.

Abstract: Automatically determining a medical recommendation for a patient based on multiple medical images from multiple different medical imaging modalities. In some embodiments, a method may include receiving a first and second medical images of a patient from first and second medical imaging modalities, mapping a first region of interest (ROI) on the first medical image to a second ROI on the second medical image, generating first annotation data related to the first ROI and second annotation data related to the second ROI, generating first medical clinical data related to the first ROI and second medical clinical data related to the second ROI, inputting, into a machine learning classifier, the first and second annotation data and the first and second medical clinical data, and automatically determining, by the machine learning classifier, a medical recommendation for the patient related to a medical condition of the patient.

Abstract: Systems and methods for generating document content using data analysis. For example, a system may store data representing one or more documents, where a document is associated with a type of user and fields. The system may send the data representing the document to an electronic device. Additionally, the system may receive, from the electronic device, data representing information input into the document. Using the information, the system may select various fields for the document and send, to the electronic device, data representing the fields. Furthermore, the system may analyze the information to determine a score associated with the document. If the score does not satisfy a threshold score, the system may continue to select fields using the information and send, to the electronic device, data representing the fields. However, if the score satisfies the threshold score, the system may determine that the document is complete.

Abstract: A system and method are presented to enable computers to communicate and to exchange personal data in a secure system where security is achieved by a computer de-identifying the personal data through the removal of all personal identifiers and subsequently re-identifying the data with an anonymous identifier generated by the computer operated by the data subject. Even though the personal data and the data subject are anonymized, the computers in the present system are able to establish a communications session between the anonymous data subject's computer and the computer system holding information of interest to the data subject and to send that information to its owner.

Abstract: A system of machine learning (“ML”) models for making actionable predictions regarding low-incidence events, including a generative ML model that produces synthetic minority-class records to form an augmented training data set, a predictive ML model that has been trained on the augmented training data set, a certainty ML model that produces a certainty estimate, and an explanatory model that produces an explanation. A method for producing actionable predictions of a low-incidence event by applying ML models to imbalanced class data by producing a prediction by a predictive ML model that has been trained on a data set comprising synthetic minority-class data records produced by a generative ML model, and producing a certainty estimate and an explanation. At least one of the certainty estimate or explanation determines an effective or appropriate response to the prediction. The low-incidence event may comprise risk of opioid use disorder.

Abstract: Disclosed are a synonym mining method, an application method of a synonym dictionary, a medical synonym mining method, an application method of a medical synonym dictionary, a synonym mining device and a storage medium. The synonym mining method includes: performing a recognition process on corpus data to obtain a named entity set of at least one category, wherein the named entity set of each category includes a plurality of named entities; performing a clustering process on the plurality of named entities in the named entity set of the each category to obtain a synonym candidate set corresponding to the each category; and performing, based on a word from similarity and a context similarity, a filtering process on the synonym candidate set corresponding to the each category to obtain a synonym set corresponding to the each category.

Abstract: One disclosed method involves receiving a first request to establish a first connection between a computing device and a camera, wherein the first connection is configured to allow streaming of video data from the camera to the computing device and the camera is configured to support connections with multiple remote devices at one time. A determination is made that a second connection is already established between an endpoint device and the camera, wherein the second connection is configured to allow streaming of video data from the camera to the endpoint device. Based at least in part on the first request and the second connection already being established, the second connection is terminated and the first connection is established, thus providing the computing device with access to one or more functionalities of the camera free of interference by the endpoint device.

Abstract: The exemplary systems and methods may generate treatment records for extracorporeal blood treatments. The treatment records may include a plurality of values of various parameters. The various parameters may include a compulsory set of parameters that are preset, a dependent set of parameters that a dependent on one or more of a selected treatment and a system configuration, and a discretionary set of parameters that are selected by a user.