Abstract: Apparatuses, systems and methods are provided to reduce return of prescriptions to stock. The apparatuses, systems, and methods may reduce return of prescriptions to stock based on a predictive model. The apparatuses, systems, and methods may reduce return of prescriptions to stock based on a response of a patient to a notification that a prescription has been received for the patient.

Abstract: A method for generating predictions for year-over-year change in drug spending and per member per month spending and for providing the predictions via a web portal includes receiving data collected from a health plan. The data includes per member per month costs of the health plan and demographic information of members of the health plan. The method includes selecting therapeutic classes based on the per member per month costs and demographic information, segmenting the data by the therapeutic classes, and detecting patterns by analyzing the segmented data. The method includes generating models for the therapeutic classes based on the patterns, and generating predictions for year-over-year change in drug spending and per member per month spending for the therapeutic classes by utilizing the models. The method includes providing the predictions via a web portal in at least one of a displayable graphical format and a downloadable data structure.

Abstract: Systems, methods, and other embodiments are disclosed for automatically changing a maintenance strategy for an asset. In one embodiment, status data from an asset record of an asset to be maintained is read. The status data indicates a current status of the asset. A maintenance schedule record is selected from multiple maintenance schedule records based on the status data. The multiple maintenance schedule records are associated with a maintenance specification record of the asset. The selected maintenance schedule record is assigned to the asset record of the asset. The maintenance schedule record includes at least one trigger record including trigger data indicating when preventive maintenance is to be performed on the asset. A preventive maintenance work order record is transmitted, in accordance with a trigger record, to direct preventive maintenance to be performed on the asset.

Abstract: A method for providing a feedback on a surgical outcome by a computer includes dividing, by the computer, actual surgical data obtained in an actual surgical process into a plurality of detailed surgical operations to obtain actual surgical cue sheet data composed of the plurality of detailed surgical operations, obtaining, by the computer, reference cue sheet data about the actual surgery, and comparing, by the computer, the actual surgical cue sheet data with the reference cue sheet data, and providing, by the computer, the feedback based on the comparison result.

Abstract: Embodiments of a computer-assisted method classify service descriptors from chargemasters into national billing code equivalents for easy comparison of health provider prices. Medical libraries are attached and specialized rules are applied to augment service descriptors from chargemasters with supplementary medical information. A computer processor is configured to execute a text-based classifier and/or textual similarity metric to accurately associate service descriptors to national billing coding equivalents for service descriptors from different health providers. The disclosed embodiments form a comprehensive list of service descriptors grouped by national billing code equivalents and by textual similarity.

Abstract: A system to provide a risk relationship transaction automation tool via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing transactions associated with requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation transaction and retrieve, from the risk relationship data store, the electronic record associated with the selected requested resource allocation transaction. The server may then execute a medical code decision model. According to some embodiments, the system may also support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation transaction data.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: A system and method is provided for generating subscription recommendations suggesting ways that one or more creators of content may increase subscribership and/or prominence of the one or more creators. Subscription recommendations can involve changing and/or updating subscription levels offered by a content creator to potential, existing, or previous subscribers of the content creator. Current and/or historical performance data associated with the content creator, other content creators, and/or the consumers making up a community of subscribers may be analyzed in order to generate subscription recommendations.

Abstract: Matching healthcare groups and healthcare systems based on billed claims and calculating capture of billed procedures for healthcare groups and systems. A method includes identifying one or more office practitioners billing carrier claims comprising a certain office billing identifier and identifying one or more procedure practitioners associated with facility claims for procedures performed under a certain procedure billing identifier. The method includes identifying a common practitioner billing carrier claims comprising the certain office billing identifier and associated with facility claims for procedures performed under the certain procedure billing identifier. The method includes generating an office-procedure pair by matching the certain office billing identifier with the certain procedure billing identifier based on an existence of the common practitioner.

Abstract: Systems and methods are provided for generating engagement recommendations suggesting ways that one or more creators of content may maximize subscribership and/or subscription-based revenue, as well as support recommendations suggesting ways that the one or more creators of content may realize successful support of their content creation. Engagement recommendations can involve suggestions regarding when and/or how to engage one or more subscribers that results in a positive impact to subscribership and/or subscription-based revenue. Support recommendations can involve suggestions regarding when and/or how to elicit support in line with preferred indicia of success set forth by the one or more creators.

Abstract: Systems and methods for determining a care plan for a patient are disclosed. Data from a one or more databases are received or retrieved and used to determine a preferred care plan used to perform a surgical procedure or otherwise treat a patient. The data may include data pertaining to a patient, a healthcare professional, a healthcare facility, an implant, economic data, simulation data, imaging data, and/or the like. The data may be used to determine a plan that provides a positive outcome and patient satisfaction. The data may be updated over time or in real time to improve or refine the determination of care plans for the current patient or other patients.

Abstract: A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

Abstract: An illustrative aspect of the present disclosure is a system and method of generating a recipe, which includes determining rankings for a plurality of food ingredients for a target food product according to at least one of a health-based feature, a cost, or a prevalence of the plurality of food ingredients. A neural network can receive, as inputs, the rankings of the plurality of food ingredients, and a plurality of existing recipes for food products in a same category as the target food product. The neural network can generate, as output, according to the rankings of the plurality of food ingredients and the plurality of existing recipes, a new recipe for the target food product that incorporates a select food ingredient from the plurality of food ingredients.

Abstract: The present invention relates to a method of identifying a subgroup of patients suffering from diffuse cutaneous systemic sclerosis (dcSSc) which subgroup of patients benefits from a treatment with at least one sGC stimulator and/or sGC activator in a higher degree than patients not belonging to this subgroup.

Abstract: Identifying ownership of a healthcare clinic based on enrollment information. A method includes identifying a plurality of practitioners associated with a clinic and calculating a proportion of the plurality of practitioners that are enrolled under a healthcare group based on enrollment information stored in an enrollment database. The method includes determining whether the proportion satisfies a threshold proportion of practitioners enrolled under the healthcare group and imputing a group ID associated with the healthcare group to the clinic if the proportion satisfies the threshold proportion.

Abstract: Techniques are described for a non-invasive detection of a health condition of an organ. In an example, the electrical conductivity of the organ reflects the organ's health of. An inductive damping sensor can be used to detect the organ's electrical conductivity and, thus, its health. The inductive damping sensor can be placed in proximity of the organ such as the organ is within the magnetic field generated based on a coil of the inductive damping sensor. The conductivity of the organ impacts the inductance and the resistance of the coil. Hence, the inductance and/or resistance of the coil can be measured, where the measurements can be associated with the health of the organ.

Abstract: Technology for applying explainable artificial training algorithms (XAI) to training machine learning algorithms for identifying potentially developing computer vision syndrome (CVS), CVS and/or recommended remedial action(s) that a user can perform to counter potentially developing CVS and/or existing CVS. In some embodiments, the XAI includes a Contrastive Explainability model. In some embodiments, the training performed by the XAI includes assigning weight factors respectively to CVS input parameters (for example, blink rate) based upon how strong the respective CVS input factor is correlated with development of CVS in the user.

Abstract: Approaches presented herein enable treating a medical condition via individual customized cognitive guidance. More specifically, a current interactive and customized diagnosis object (ICDO) comprising a treatment schedule for a patient is generated by combining a set of previous ICDOs from the patient, wherein each ICDO has a structure which defines elements that are used to diagnose a symptom and match the patient with a treatment. A status of the patient is monitored in real time via an internet of things network to detect an actual event of the patient differing from the treatment schedule. In real time, the treatment schedule is modified responsive to the differing event by adjusting the current ICDO by exchanging one element of the treatment plan for a new element according to a learned set of rules to compensate for the differing event. This modified treatment schedule is provided to the patient in real time.

Abstract: Systems and methods for analyzing complexity of surgical footage are disclosed. A system may include at least one processor configured to analyze frames of the surgical footage to identify an anatomical structure in a first set of frames. The processor may access first historical data based on an analysis of first frame data captured from a first group of surgical procedures and analyze the first set of frames to determine a first complexity level. The processor may analyze the surgical footage to identify in a second set of frames a medical tool, an anatomical structure, and an interaction between the medical tool and the anatomical structure. The processor may access second historical data based on an analysis of a second frame data captured from a second group of surgical procedures and analyze the second set of frames to determine a second complexity level associated with the second set of frames.

Abstract: The present arrangement provides a system for managing diabetic foot care patients that include a communication interface for transmitting diagnostic forms to a doctor device and receiving input from the doctor device. A processor manages the transmissions and received input and a database storing the diagnostic forms and the received input, as well as pre-stored risk assessment guidelines. The system is configured to transmit the diagnostic forms to a doctor device for guiding a comprehensive foot exam, and further, to accept doctor input including at least a plurality of foot examination details and a risk pool assessment. The system compares at least a plurality of foot examination details against the pre-stored risk assessment guidelines and confirms or reject the risk pool assessment input by the doctor if the risk pool assessment is or is not congruent with requirements contained in the pre-stored risk assessment guidelines.