Abstract: An index value assignment device comprises: a selection unit that prompts a user to select, from a sentence, one or more words that the user feels to have a same degree of a predetermined index value with respect to one or more first words for which the index value is known; a validation unit that validates the selection result by the user on a basis of the index value of a second word for which the index value is known from among the one or more words included in the selection result; and a determination unit that determines the index value with respect to a third word for which the index value is unknown from among the one or more words selected by the user, on a basis of the index value of the first word according to the selection result for which the selection result is determined to be valid. Consequently, the efficiency of assigning word familiarity is increased.

Abstract: A system and method for processing a plurality of medical images using a plurality of clinical applications. A current study is received by a first server, the current study having first image series metadata. The first server can determine, based on several different techniques, that the current study is in progress. The system and method generates an assembled study set comprising the current study that is processed using a clinical application, the current study having a first series and a second series.

Abstract: Devices and methods for performing a surgical step or surgical procedure with visual guidance using an optical head mounted display are disclosed.

Abstract: Systems and methods for displaying search item scores and related information for easier search result selection. In one aspect, the method includes receiving a search request for a software component, retrieving a programming language information of the software component, retrieving an ecosystem information of the software component, retrieving a licensing information of the software component, retrieving a quality score of the software component, retrieving a security score of the software component, retrieving details of sources and associated details of the software component, dynamically generating a results information widget including information associated with the software component, and searching, based on the retrieved information, internet sources to assimilate associated information of the software components.

Abstract: The subject disclosure relates to systems, methods, and devices corresponding to smart label devices. Furthermore, disclosed are smart label systems that include individualized medicine modules communicatively coupled with smart label devices. Furthermore, a method is disclosed that comprises receiving, by the smart label control system, detection data from the smart label device, wherein the detection data represents a geo-locational boundary signal. The method further comprises disabling, by the smart label control system, a rendering of content on a display of the smart label device.

Abstract: In clinical documentation, mere documentation of a condition in a patient's records may not be enough. To be considered sufficiently documented, the patient's record needs to show that no documentation drop-offs (DDOs) have occurred over the course of the patient's stay. However, DDOs can be extremely difficult to detect. To solve this problem, the invention trains time-sensitive deep learning (DL) models on a per condition basis using actual and/or synthetic patient data. Utilizing an ontology, grouped concepts can be generated on the fly from real-time hospital data and used to generate time-series data that can then be analyzed by trained time-sensitive DL models to determine whether a DDO for a condition has occurred during the stay. Non-time-sensitive models can be used to detect all the conditions documented during the stay. Outcomes from the models can be compared to determine whether to notify a user that a DDO has occurred.

Abstract: Methods and systems for cohort selection for agile processes are disclosed. A method includes: assigning, by a computing device, each of a plurality of entities to one of a plurality of groups; and for each of the plurality of groups: for each of the entities in the group, determining, by the computing device, information about the entity and encoding the determined information about the entity using a genetic algorithm; determining a ranking, by the computing device, of each of the entities in the group based on the encoded information about each of entity in the group; crossing over, by the computing device, portions of the encoded information of pairs of entities occupying adjacent positions in the ranking; and measuring, by the computing device, fitness of each of the entities in the group.

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 system includes a first computer and a second computer. The first computer is programmed to receive a request from the second computer to move a vehicle from a first location to a second location and synchronize a timer stored in each of the computers. The first computer determines a route including waypoints from the first location to the second location and determines predicted travel times for legs of the route. The predicted travel times include a first predicted travel time for a first leg defined from the first location to a first waypoint included in the waypoints and the first computer transmits the route and the travel times to the second computer. The second computer is programmed to determine an elapsed time of travel and predict a location of the vehicle based on the elapsed time of travel and the first predicted travel time.

Abstract: A medical information management apparatus has processing circuitry configured to search medical information in a storage, when accepting a search request of the medical information including a key being an item of information regarding a patient and a value being contents of the key, and extract the medical information matching a search condition as condition-matched medical information; extract the key and the value from the condition-matched medical information, calculate a matching rate being a proportion of the value included in the condition-matched medical information to the entire medical information in the storage, and determine that the value is idiosyncratic information when the matching rate is equal to or less than a threshold set with respect to the key; and determine whether the key of the value determined to include the idiosyncratic information corresponds to an essential key which is essential in terms of a purpose of utilization.

Abstract: Systems and methods described herein facilitate biometric, health, and activity data aggregation and visualization in order to provide improved physical performance tracking and medical monitoring. In some examples, the system can providing real time access to healthcare providers during telehealth sessions. In some examples, the system can include infectious disease monitoring, enabling a healthcare provider to monitor and provide healthcare to a group of patients outside of a clinical setting.

Abstract: A computer-implemented method comprising: obtaining text from text-based messages sent between a patient and a therapist providing psychological therapy; determining at least one feature of the text; and determining a characteristic of the patient and/or the therapist using the at least one feature.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring the status of a database prior to locking the database. In one aspect, the method comprises receiving a request to generate a mock database, accessing a set of database lock readiness metrics, wherein the set of database lock readiness metrics include one or more attribute values that each specify a value of an attribute of database data that must be satisfied for the database to be locked, correlating information that includes (i) the set of database lock readiness metrics and (ii) database data of the database, and generating a database lock readiness report structure, based on a mock database lock representing a snapshot of the database at a particular point in time, that indicates whether each of the one or more attribute values specified by the set of database lock readiness metrics have been satisfied.

Abstract: A system for generating an object prioritization list for physical transfer, the system comprising a computing device configured to receive a biological extraction of a user, determine, using the biological extraction, a plurality of urgency metrics, wherein determining the plurality of urgency metrics including training an urgency machine-learning model with training data that includes a plurality of entries wherein each entry correlates biological extraction data to metrics of urgency of object-addressable maladies, and determining the plurality of urgency metrics as a function of the urgency machine-learning model, order, using a first ranking machine-learning process, a plurality of candidate objects as a function of the plurality of urgency metrics, and generate an object prioritization list as a function of the ordered plurality of candidate objects.

Abstract: Methods and systems of summarizing medical data. One system includes an electronic processor configured to analyze medical data to extract a medical concept and a plurality of additional attributes of the medical concept and store the medical concept and the plurality of additional attributes. The electronic processor is configured to generate a first medical summary associated with the patient, where the first medical summary is based on the stored medical concept and at least a first additional attribute included in the stored plurality of additional attributes. The electronic processor is configured to receive a user interaction with the first medical summary. The electronic processor is configured to generate a second medical summary associated with the patient based on the user interaction, the second medical summary is based on the stored medical concept and at least a second additional attribute included in the stored plurality of additional attributes.

Abstract: The present disclosure provides computer-aided diagnosis systems and methods. The method may include obtaining multiple medical images of one or more bones; for at least one of the multiple medical images, detecting one or more bone fracture regions of the one or more bones in the medical image; causing a management list to be displayed for managing the one or more bones; receiving an instruction related to selecting at least one of the one or more bones, the instruction being generated through the management list; and upon receiving the instruction, causing the following to be displayed: at least one of one or more reconstructed bone images related to the at least one selected bone; or a marker of the one or more detected bone fracture regions related to the at least one selected bone.

Abstract: The technology relates to a seamless interface between an autonomous vehicle service provider and one or more ridesharing, ride-hailing or delivery partner companies, in order to provide timely, efficient rider or delivery services and support. A partner trip application programming interface (API) provides robust features to the ridesharing or ride-hailing partner companies and also supports delivery of meals, groceries, packages or other cargo. For instance, the API may be employed with delivery partners (e.g., food, package or bulk cargo delivery), and/or for concierge services (e.g., a hotel or medical provider or an e-commerce specialist that coordinates deliveries). The technology supports both ad hoc and scheduled trips. Agents for different partners may schedule trips to or from specific stores or other (geofenced) locations, and observe and manage trips for an entire enterprise. Permissions can be tailored for each agent.

Abstract: An information content viewing method includes displaying, by a terminal, a first lock screen or keeps in a screen-off state, and displaying, by the terminal, a second lock screen after receiving first information, where the second lock screen displays a first control, and the first control prompts that content of the first information is hidden, receiving, by the terminal, a first operation of a user on a touchscreen, and collecting and verifying, by the terminal, fingerprint information of the user based on the first operation and displaying, by the terminal, a third lock screen after the verification on the fingerprint information succeeds, where the third lock screen displays the first control, and the first control displays the content of the first information.

Abstract: An aerosol delivery or electronic nicotine delivery systems (“ENDS”) device may include smoking articles that produce aerosol. The device may operate upon authentication. The authentication may first include an age verification before an authentication allows for operation of the device. The authentication may include a control signal communication to the device. The control signal communication may include an audio signal, such as an authentication tone that is detected by a microphone or pressure sensor on the device. The control signal communication may include a visual, optical, or light signal that is detected by a light sensor or photodiode on the device.

Abstract: There is provided a medical examination support apparatus in which the history of diagnosis can be easily grasped at a glance, and an operation method and an operation program thereof. A screen output control unit of a medical examination support server generates a log display screen and transmits the log display screen to a client terminal. In a collective display region in the log display screen, an APL block and a MOL block are collectively displayed in a time series in a distinguishable manner. The APL block is a display block of an automatic processing log APL which is a history of automatically performing analysis processing on examination data obtained in a medical examination performed on a patient by a diagnosis support algorithm to output a result of the analysis processing as diagnosis support information for supporting diagnosis of a doctor. The MOL block is a display block of a manual operation log MOL which is a history of a manual operation of the doctor with respect to the examination data.

Abstract: Method and apparatus are described for a system that employs a change management algorithm to drive transfusion “appropriateness” by factoring evidenced-based knowledge and input from practitioners, where said algorithm may also ensure that a blood or blood product transfusion is provided to the right patient, that the blood/blood product is transfused at the right time, and that the procedure is completed for the right reason.

Abstract: A system for alimentary instruction sets derived from artificial intelligence systems for vibrant constitutional guidance, as derived using one or more machine-learning procedures from training data relating prognostic and ameliorative labels. A physical performance instruction set is derived from the alimentary instruction sets using one or more physical performance entity profiles.

Abstract: Mechanisms are provided to implement a visual analytics pipeline. The mechanisms generate, from an input database of records, a chronology-aware graph data structure of a plurality of records based features specified in an ontology data structure. The chronology-aware graph data structure has vertices representing one or more of events or records based features corresponding to events, and edges representing chronological relationships between events. The mechanisms execute a chronology-aware graph query on the chronology-aware graph data structure to generate a filtered set of vertices and corresponding features corresponding to criteria of the chronology-aware graph query.

Abstract: A system for displaying nutrimental artifacts, the system including a user device connected to a central network, and including a display interface, the display interface configuring the user device to retrieve, a verified matter, including a target allotment relating to the user device, receive, from a provider, a plurality of nutrimental artifacts including an allotment value, receive, a filter set modifying the plurality of nutrimental artifacts, order, the plurality of nutrimental artifacts as a function of the verified matter, the allotment value, and the filter set, and display the ordered plurality of nutrimental artifacts within the display interface.

Abstract: Systems and methods are provided for updating data in a computer network. An exemplary method includes: receiving a first data from one or more data servers; determining a second data for which a first update information is used to update at least one element of the second data; generating a second update information associated with the second data; generating a third update information by executing an operation that compares the first update information and the second update information; generating a third data by applying the third update information to the second data; allowing a user to select via a display device which of the different update elements to update the second data; generating a fourth update information by determining the selected different update elements to update the second data; and updating the second data using the fourth update information.

Abstract: A system, apparatus and method for configuring notifications pursuant to a medical regimen for a patient. A communications interface receives patient data and patient feedback data associated with the patient and system patient data associated with other patients may be stored. A data model is processed for the medical regimen to calculate a baseline notification schedule based on the patient data, wherein the baseline notification schedule includes content and notification frequency for individual notifications. The patient data is processed to determine word vectors and embedded vectors. Statistical/predictive processing is executed on the processed patient feedback data to determine a patient characteristic. As a result of the statistical/predictive processing, the baseline notification schedule is modified to form a modified schedule for transmission in the system.

Abstract: An application system capable of providing a continuation of care for a user. This is achieved through the assessing of medication compliance, assessing medical testing compliance and providing appropriate care suggestions. The system incorporates medication reminder, medication compliance analytics and the capacity to provide responses to user specific medication inquiries. The system also incorporates medical test assessment capabilities and the capacity to provide basic medical testing protocols. Additionally, as medication and medical testing data are collected, processed and analyzed, they are stored in a zero-click fashion with results being rapidly presented back to the user via an interactive avatar. These data can also be provided in standard of care summaries to users, HIPAA compliant third parties and/or medical care providers.

Abstract: A system, method, and computer-readable medium are disclosed for digital therapeutics directed to patient care specific to a disease. Digital therapeutics (DTx) knowledge models are created and their corpus is validated. Condition and symptom models are created for processing the digital therapeutics (DTx) knowledge models. Clinical and condition models are converted to reconfigurable runtime implementations. Architecture and implementation subsets of knowledge models, language models, condition and symptom models, technology and tools are created. Digital therapeutics (DTx) natural language models are created. Multiple program content versions of natural language content, clinical physician, and condition models are created.

Abstract: A method is provided for authenticating, and establishing and tracking eligibility of a patient to purchase an over-the-counter (OTC) drug from a retailer, the patient using a client device or terminal and the retailer having a server. The server is configured to redirect the client device or terminal to a backend platform to authenticate the patient, access a storage to search for any information that indicates the patient is ineligible to purchase the OTC drug; and without any information that indicates the patient is ineligible, administer a questionnaire to the patient to assess the eligibility for the OTC drug. And the backend platform redirects the client device or terminal back to the server to complete the online sale of the OTC drug to the patient when the patient is eligible, or cancel the online sale of the OTC drug to the patient when the patient is ineligible.

Abstract: The planning of treatment using tumor treating fields (TTFields) in a portion of a subject's body (e.g., the subject's head) can be improved by obtaining an image of the body portion, and generating, based on the image, a 3D model of electrical conductivity. A target volume within the 3D model is identified, and a set of model electrodes is added to the 3D model at given locations. Then, for each voxel in the target volume, the power loss density (PLD) that will be present when TTFields are eventually applied is determined. The same process is repeated for a plurality of different electrode locations. Finally, the set of electrode locations that yielded the best PLD is selected, and a description of those locations is output.

Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.

Abstract: The present disclosure generally relates to user interfaces for managing sharing of health-related data. In some embodiments, user interfaces for establishing sharing of health-related data are described. In some embodiments, user interfaces for viewing and managing shared health-related data are described.

Abstract: A method of generating a user interface for use in documenting a patient encounter comprises: automatically identifying, with a computing device, at least one documentation protocol based on at least one element of the patient's medical record; and generating a user interface including at least one of the identified documentation protocols, the at least one identified documentation protocol identifying at least one medical finding. A system comprises a data store encoded on a memory device, the data store comprising documentation protocols. The system further comprises an input apparatus. A computing device is in data communication with the data store and the input apparatus. The computing device is programmed to receive findings input through the input apparatus, identify a documentation protocol based on the finding input through the input apparatus, and generate a user interface. The user interface comprising the identified documentation protocol.

Abstract: A system and method for extracting data from an electronic health record to provide provider and patient data similarity scoring includes: encoding a problem list for a plurality of patients with concepts from a common electronic health record ontology. In one aspect, the patients have electronic health records maintained by a plurality of providers. The system and method then may parse the concepts into a plurality of clusters or categories and determining, for each of the providers, a total number of patients that have at least one problem in a cluster or category or determining, for each patient, which of the plurality of clusters or categories correspond to at least one concept encoded in the patient's problem list. The system and method then may calculate for each pair of providers or patients, a distance between the providers or patients.

Abstract: A telemedicine platform utilizes artificial intelligence to match patients with practitioners. The platform includes a virtual assistant operable to automatically generate responses to a patient using machine learning in order to further identify details regarding the patient's symptoms and needs. The virtual assistant includes a digitally generated human face that automatically adapts mouth-movements and facial expressions to match the automatically generated responses in order to provide a feeling of interacting with a human assistant. The platform includes a patient interface, for identifying physicians and scheduling appointments, a practitioner interface, for managing patients and scheduling issues, and an administrator interface, for managing a larger practice of multiple practitioners.

Abstract: A computer-implemented method for determining a biological test to be performed on a biological subject in order to determine the biological condition of the biological subject, and a corresponding system and computer program. Disclosed technology creates a basis representation for a set of biological symptoms, reads input data obtained from a biological subject whose biological condition is to be determined, generates a representation of the input data in the created basis representation, applies a predictive model to the representation of the input data in order to obtain a probability distribution that parameters included in the input data corresponds to a specific biological condition.

Abstract: Provided are a system and a computer program for managing and predicting thyrotoxicosis using a wearable device. The system for predicting thyrotoxicosis is a system for predicting thyrotoxicosis using a resting heart rate, the system including a wearable device for measuring the heart rate of a patient at regular intervals, and a bio-signal computing device for receiving heart rate information from the wearable device, the bio-signal computing device outputting a warning alarm when a resting heart rate is greater than a reference heart rate when the patient is in a normal state.

Abstract: A method for responding to an operation trajectory is disclosed. The method is applied to a monitor configured to monitor and display physiological data of a patient. The method includes displaying at least one physiological data of a first patient on a display interface. The at least one physiological data comprises at least one of electrocardiogram, blood oxygen, blood pressure, respiration rate, body temperature and heart rate. The method further includes detecting a screen-touching operation triggered by a user on the display interface and acquiring an operation trajectory corresponding to the screen-touching operation according to the screen-touching operation. The operation trajectory includes a start point and an end point, the start point corresponding to a first time point, the end point corresponding to a second time point, and the second time point being later than the first time point.

Abstract: Certain embodiments are directed to systems and methods for automatically providing data indicative of one or more characteristics of services that may be recommended to a particular patient, wherein the services are executable at least in part electronically based on data generated and provided by a system for facilitating access to the services. The generated data may be utilized for generating one or more user interfaces providing data regarding derived standard pricing data that is automatically assigned to the referred services and which may be attributable to a patient based at least in part on the patient's usage of the services.

Abstract: Systems and methods are described, and an example system includes an AI enhanced multi-source health data integration logic that receives a first source electronic health record (EHR) data from a first EHR system and a second source EHR data from a second EHR system, and transforms, according to a knowledge representation schema, health-related information content of the first source EHR data and the second source EHR data to a first source transformed health data and second source transformed health data. The system includes a collaboration platform, configured to host a multi-source transformed health data database, including the transformed first source health data and the transformed second source health data, and hosts AI-enhanced, multiple level telecollaborative analyses by a plurality of participants of the multi-source transformed health data database, generating health management data.

Abstract: A self-reporting system and system for personal pathogen status verifying allows an entity to control access to an area of congregation (AOC) at one or more points of entry (POE) is a configurable manner. In one embodiment, the system may be used for the SARS-CoV-2 virus, but may be similarly used for other pathogens.

Abstract: A method and system for predicting an intended time interval for a content segment may include receiving a request for natural language processing (NLP) of the content segment, the content segment including one or more temporal expressions, accessing contextual data associated with each of the one or more temporal expressions, decoding the content segment into a program that describes a temporal logic of the content segment based on the one or more temporal expressions, evaluating the program using the contextual data to predict an intended time interval for the content segment, and providing the intended time interval as an output.

Abstract: Various embodiments of the present application are directed towards systems and methods for hybrid blockchain control. According to some embodiments a method for hybrid blockchain control, an update to a distributed blockchain is received from a blockchain system. The blockchain system includes multiple nodes individually storing copies of the distributed blockchain and individually updating the copies by a consensus process. A determination is made as to whether the distributed blockchain has been fraudulently modified based on the received update. In response to determining the distributed blockchain has been fraudulently modified: 1) a corrective block is disseminated to the blockchain system to trigger the consensus process on the nodes; and 2) a predefined override in the consensus process is invoked to update the copies of the distributed blockchain in a manner that bypasses an illegitimate block. Further, the predefined override is invoked while the consensus process processes the corrective block.

Abstract: An acquisition method and system for clinical experimental data, an electronic device, and a storage medium are provided, which relate to the field of data processing technologies, the method includes: extracting first clinical experimental data from a target information system based on a preset clinical experimental data extraction model; acquiring and labeling speech input data and manual input data of a target user to obtain second clinical experiment data; recognizing to —be-extracted clinical experimental data based on a preset character recognition model to obtain third clinical experimental data; organizing and arranging the three clinical experimental data in chronological order and weight to generate ultimate clinical experimental data.

Abstract: The system disclosed allows a user to specify an illness, disease, or health condition, mental or physical or otherwise, and interconnect with other users having similar diagnoses, symptoms, conditions, complications, treatments, or otherwise. The patient user may be connected to a caregiver who links into the system to connect with other caregivers as well. The social network is a health web designed to interconnect patients, friends, families, doctors or others who seek personalized medical information pertaining to the experiences of others. The system allows an interconnection of patients who want to correspond as to symptoms and treatments, and/or for medical professionals who seek to expand their global knowledge base as to collegial networks for diagnosis, treatment, and real-time evaluation. The social network provides a global interface, connected via mobile device, remotely for medical treatment globally, from the latest innovations in medicine to the remote locations of the world.

Abstract: Methods and systems for determining whether a software application that is executable by an electronic device is compliant under the Health Insurance Portability and Accountability Act (HIPAA) are provided. A software application is accessed over a network. A programmed computer processor is used to determine whether said software application, upon execution, is at or above an (i) access control threshold, (ii) audit control threshold, (iii) data integrity threshold, (iv) authentication threshold, and (v) transmission security threshold, which thresholds are minimum thresholds for HIPAA compliance. Additionally, a determination that said software application is HIPAA compliant is made if said software application, upon execution, is at or above (i) said access control threshold, (ii) audit control threshold, (iii) data integrity threshold, (iv) authentication threshold, and (v) transmission security threshold. Further, a determination as to whether said software application is HIPAA compliant is output.

Abstract: Techniques are described for enabling an IT and security operations application to detect and remediate advanced persistent threats (APTs). The detection of APTs involves the execution of search queries to search event data that initially was associated with lower-severity activity or that otherwise did not initially rise to the level of actionable event data in the application. The execution of such search queries may thus generally be configured to search non-real-time event data, e.g., event data that outside of a current window of days or a week and instead searches and aggregates event data spanning time periods of many weeks, months, or years. Due the nature of APTs, analyses of historical event data spanning such relatively long periods of time may in the aggregate uncover the types of persistent activity associated with APTs that would otherwise go undetected based only on searches of more current, real-time event data.

Abstract: To facilitate generating a record of a medical appointment with minimal user input actions, a plurality of user-selectable GUI elements indicating a respective plurality of medical case types is displayed. Responsive to a user selection indicating a type of medical case, a medical case-specific plurality of GUI question elements is dynamically displayed within a first user-selectable GUI region, each including an indicator of a subjective question regarding a condition of a patient presenting with the indicated medical case type and multiple user-selectable GUI response elements indicating multiple respective distinct patient responses to the subjective question.

Abstract: Methods, systems, and media for generating a group of media content items are provided. In some embodiments, the method comprises: receiving, from a server, a plurality of media content items; storing, on a user device, the plurality of media content items; determining, by the user device, whether to request a clustering of the plurality of media content items; in response to determining that a request for clustering the plurality of media content items is to be made, transmitting the request to the server, wherein the request includes indications of the plurality of media content items; receiving, from the server, a plurality of clusters corresponding to the plurality of media content items; and causing indications of the plurality of media content items to be presented in a user interface on the user device, wherein the indications of the plurality of media content items are organized based on the plurality of clusters.

Abstract: Systems and methods for treating a patient. The methods comprise: producing, by a radiotherapy system, a fused model for a superficial portion of the patient's skin by combining structural imaging data acquired using high frequency ultrasound and functional imaging data acquired using optical imaging; generating a treatment plan for the patient based on the fused model; storing the treatment plan; detecting, by a processor, an arrival of the patient at a medical facility using first information acquired from a first mobile device coupled to the patient; obtaining the treatment plan using the first information; and causing a state of medical equipment to be transitioned from a first configurable operational state in which a radiotherapy treatment head has a first position to a second configurable operational state in which the radiotherapy treatment head has a second different position, in accordance with the treatment plan.