Abstract: A scheduling system and methods for scheduling patient appointments disclosed here utilize any available input to identify a timestamp and a spatial location related to a patient and/or one or more providers in proximity of one or more appointment locations, to allocate a set of procedure resources to each patient appointment based on the timestamps and the spatial locations, and to communicate any revised timing to the patient, thereby minimizing a total waiting time. The scheduling system allows for scheduling of appointments divided into multiple appointment states, each having a predicted timing. After a completed appointment state, individual uncertainty of the predicted timing is replaced with an actual timing and the predicted timing of the remaining schedule is revised. This scheduling system enables adaptive reallocation of resources while avoiding compounding the waiting times that create a multi-state iterative and time-variant problem.

Abstract: The method of obtaining DICOM files may comprise receiving, by a processor, scanning data of a scannable graphic associated with an item, wherein the scannable graphic is associated with DICOM tag data; extracting, by the processor, the DICOM tag data from the scanning data; determining, by the processor, that the DICOM tag data is associated with a first DICOM file; identifying, by the processor, a user of the first DICOM file; retrieving, by the processor, the first DICOM file; searching, by the processor, for other DICOM files that are associated with at least one of the user or the first DICOM file; retrieving, by the processor, the other DICOM files; and sending, by the processor and to the user, the first DICOM file and the other DICOM files.

Abstract: An Electronic Health Record (EHR) data blockchain system configured to allow multiple entities (e.g., pharmacy industry entities and healthcare providers that can act as data, service, product and service providers, and consumers) to connect to an EHR patient transaction blockchain (e.g., EHR-DATA-BC) and an EHR Data Patient Portal (e.g., EHR-Data-PP) to provide a centralized location for messages and subsequent edits to ensure uniform message data is presented. The EHR data blockchain system can include an EHR Data API, an EHR patient transaction blockchain API, and an EHR patient transaction blockchain. The EHR data blockchain system can provide workflow on the blockchain that can utilize smart contracts to define workflow processes, expected outcomes, and financial costs. When a prescription transaction is complete, it will result in the settlement of each of the smart contracts that were added to the prescription workflow.

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

Abstract: Described herein are systems and methods for real-time automated data indexing of resources across disparate electronic platforms, including automated data mapping and message translation for improved resource platform access. A cache may refresh (e.g., on a periodic basis) resource objects regarding resources and resource availability from each resource platform. The resources may include providers, and the information can include name/identifier, capabilities, type, availability, etc. unstructured responses obtained from calls to refresh the objects may be parsed and reformatted into a common format using platform-specific configurations, and then stored in a resource cache such that subsequent users can request the resource that is secured by interacting with the resource cache instead of the resource platform.

Abstract: A method performed by a first microservice processor includes receiving a first user indication from a first computing device from a plurality of computing devices of a second user that indicates that a first user requested a service of the second user. A first user-specific data container object is generated that includes first user-specific data elements associated with the service provided to the first user. First user-specific service-necessity information data objects are obtained from electronic resources. The first user-specific data elements and the first user-specific service-necessity information data objects are inputted into a machine learning engine to obtain ranked reference-claim data objects. A chosen reference-claim data object from the ranked reference-claim data objects is chosen by the second user to justify providing the service to the first user.

Abstract: An example operation may include one or more of connecting, by a pharmacy node, to a blockchain network configured to store patients' data on a blockchain ledger, receiving, by the pharmacy node, a request from a patient node for a prescription refill, the request contains a secret key of a patient, extracting, by the pharmacy node, the secret key from the request to verify a patient's identity, and executing, by the pharmacy node, a smart contract to: (a) decrypt a prescription data located on the ledger by an application of the secret key, (b) retrieve patient's allergy records from the ledger to check the allergy records against the prescription data, (c) determine a number of remaining refills from the prescription data, (d) check validity of the prescription data based on an expiration date, and commit a prescription refill transaction to the blockchain based on a successful execution of (b)-(d).

Abstract: A system and method for identifying health data associated with a health activity and processing the health data based on protected health information control for secure viewing and communication are provided. The method includes: detecting, by one or more processors, a health activity from a hardware device accessed by a user; identifying, by the one or more processors, health data associated with the health activity; identifying, by the one or more processors, a task to be performed based on the health activity; determining, by the one or more processors, whether the user is an authorized user based on a protected health information control unit; and responsive to the user being authorized, performing the task using the health data for the authorized user.

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

Abstract: A patient treatment status notification system in a healthcare facility with multiple examination rooms includes a first electronic visual status indicator and a second electronic visual status indicator to be installed outside a first examination room, an indicator control circuit configured to communicate with and control the first and second electronic visual status indicators of the first examination room, a manual input device for the first examination room configured to receive user input representing change of a treatment status of a patient assigned to the first examination room, a switch multiplexer configured to communicate with and receive the user input from the manual input device for the first examination room, and a central control processor coupled to the indicator control circuit and the switch multiplexer to update the treatment status of the first examination room.

Abstract: The method of obtaining DICOM files may comprise receiving, by a processor, scanning data of a scannable graphic associated with an item, wherein the scannable graphic is associated with DICOM tag data; extracting, by the processor, the DICOM tag data from the scanning data; determining, by the processor, that the DICOM tag data is associated with a first DICOM file; identifying, by the processor, a user of the first DICOM file; retrieving, by the processor, the first DICOM file; searching, by the processor, for other DICOM files that are associated with at least one of the user or the first DICOM file; retrieving, by the processor, the other DICOM files; and sending, by the processor and to the user, the first DICOM file and the other DICOM files.

Abstract: An ECG information processing method and ECG workstation, wherein the method comprises: the ECG workstation receives the ECG data output by an ECG device, the ECG data includes ID of the measured object and the detection time information; perform ECG data analysis on the ECG data to generate report data; receive a report data query input by the user, query corresponding report data according to the user ID of the user, and generate report data query result list data; acquire the selected report data according to the selection instruction, determine output mode information and output format information according to the report output, and, selectively output report conclusion data, report entry data, and/or the partial data or all the data in the report graphic data, and convert the partial data or all the data in data format according to the output format information, to generate report output data.

Abstract: A server computing device executing an electronic health records application (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the EHR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: A percussive massage device theft prevention system includes a percussive massage device, a command center configured to generate a unique activation code configured to be received by the percussive massage device, and an authentication device configured to be paired with the percussive massage device and provide the activation code to the percussive massage device. The percussive massage device is configured to be paired with the authentication device, receive the authentication code from the authentication device, and activate the percussive massage device for a specified time period.

Abstract: A server computing device executing an electronic health records (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the ERR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: Embodiments of the present disclosure disclose a distributed ledger technology (e.g., blockchain)-based system that provides tools and mechanisms to place users in control of their data. In embodiments, the system may include a platform device configured to initiate a connection with a lab test service provider whose systems (e.g., computer systems) may store data pertaining to the user. In embodiments, the platform device is configured to secure the data stored at the lab test service provider by facilitating deployment of that data into a distributed ledger. Once the data is secured in the distributed ledger, the platform device may be configured to provide controlled distribution or sharing of the secured data with other users or other third-party systems.

Abstract: A system and method for generating an ocular dysfunction nourishment program comprises a computing device configured to receive at least an ocular attribute datum as a function of a user visual system, generate at least an ocular profile as a function of the at least an ocular attribute datum, wherein generating comprises receiving an ocular utopia as a function of an ocular guideline, and generating the at least an ocular profile as a function of the at least an ocular attribute datum and the ocular utopia using an ocular machine-learning model, identify at least an edible as a function of the at least an ocular profile, and develop a nourishment program of a plurality of nourishment programs as a function of the edible and a profile outcome using a nourishment machine-learning model.

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

Abstract: A scheduling system and methods for scheduling patient appointments disclosed here utilize any available input to identify a timestamp and a spatial location related to a patient and/or one or more providers in proximity of one or more appointment locations, to allocate a set of procedure resources to each patient appointment based on the timestamps and the spatial locations, and to communicate any revised timing to the patient, thereby minimizing a total waiting time. The scheduling system allows for scheduling of appointments divided into multiple appointment states, each having a predicted timing. After a completed appointment state, individual uncertainty of the predicted timing is replaced with an actual timing and the predicted timing of the remaining schedule is revised. This scheduling system enables adaptive reallocation of resources while avoiding compounding the waiting times that create a multi-state iterative and time-variant problem.