Abstract: An automated system and method for assisting in decision making for the treatment of stroke patients is provided, and specifically for assisting a physician whether the patient should be administered a drug or transferred to another hospital to undergo an endovascular thrombectomy procedure. A variety of factors are input into the system with limited human intervention and a tool automatically determines the probability of whether the patient will have a better outcome if transferred or not. The factors include clinical factors, imaging factors and time to transfer factors. The tool includes processes for automatically determining several imaging factors, including the determination of clot length, collateral blood flow, the presence of forward blood flow within and around the clot, and the clot permeability. The tool has capability to continuously update the treatment protocol and other output results using current clinical, health system or other relevant information or feedback.

Abstract: The present invention relates to a system method of provisioning mobile device security settings to provide authorized users with secure access. The system and method uses a generated, computer-readable authentication code that is read by a mobile device. The authentication code enables an unprovisional mobile device to request security credentials to enable a user of the mobile device to connect to a secured system.

Abstract: The invention includes remote-participation of a medical device manufacturing company representative in a medical procedure, whereby the device representative uses a variety of components to track and monitor devices in an operating room in “real-time,” while checking on device status and advising a surgeon through Wearable Video Technology rather than being physically present in the operating room. A system allows for a remote surgeon to advise surgeons, prepares for surgeries, chooses and tracks implant devices, evaluates and reports on device implantation, calibration and performance, evaluates surgeries and staff, prepares for and concludes procedures, trains medical staff members, performs billing functions, performs legal compliance functions, performs inventory restocking functions, and various other functions.

Abstract: Methods and systems for providing integrated diagnostic test requisition and clinical decision support are disclosed. A request for diagnostic test information for a patient is received from an electronic medical records (EMR) system. Diagnostic tests appropriate for the patient are determined based on the request, and fields of a user interface for requesting the tests are populated based on test definitions corresponding to each test. Test requisitions are generated and transmitted to a test provider in a test-provider format, and results are received from the test provider and standardized. Courses of action appropriate for the patient are determined and proposed based on the standardized results and biomarker definitions related to the patient's condition.

Abstract: A method is provided for prognosing a risk in a patient diagnosed with a premalignant lesion of the breast of the lesion progressing to breast cancer, the method comprising: providing a tissue sample of the premalignant lesion; detecting one or more variants of Osteopontin (OPN) selected from OPN-a, OPN-b and OPN-c in the sample; and prognosing an elevated risk of the lesion progressing to breast cancer if OPN-b and/or OPN-c is detected and/or OPN-a is elevated above normal levels in the tissue sample. Methods of assessing risk of death from breast cancer, methods of treatment, and kits for prognosis are also provided herein.

Abstract: Given longstanding problems with patient engagement across the continuum of care and the need to address growing health disparities, individualized assessments represent an important element in clinical interventions. The present method (and system that executes this method) is a novel procedure that employs idiographic techniques, an n-tier cross-platform architecture, and system features that automatically and quickly generate individualized patient assessment data for use in clinical interventions.

Abstract: A method for developing codes and a cross functional set of rules that suggest to a physician, in real-time, potential diagnoses related to diagnostic results or other clinical data entered into the electronic Medical Record (EMR). The method generates a possible diagnosis for consideration and addition to the patient problem list. When the physician selects a suggested diagnosis, the problem list is automatically updated with the diagnosis. In view of the above, the physician has the needed information at the point of care so that the timeliness, safety and quality of care is improved. The generated documentation also assists other physicians throughout the continuum of care for the Patient. The method creates crosswalk from data element to diagnosis to enhance the completeness of documentation. As a result, the Diagnostic Related Group (DRG) is more accurately assigned by coders at discharge to drive more accurate and efficient billing for improved reimbursement and revenue.

Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Abstract: Methods for assisting medical personnel in performing a diagnosis, diagnostic aids and computer readable media. The method initialisation step comprises: receiving a plurality of input medical texts tagged with potential medical codes; curating and validating the plurality of input medical texts to output a subset of medical texts that are validated and tagged with medical codes; and using the subset of tagged and validated medical texts to model the associations between the medical texts and the medical codes, and generating a medical text learning model based on the associations. The method diagnostic step comprises: inputting a specimen text relating to a patient into the medical text learning model; processing the specimen text using the medical text learning model; identifying suggested medical codes based on the specimen text; and outputting diagnoses, symptoms and treatments linked to the suggested medical codes for assisting medical personnel in providing a diagnosis for the patient.

Abstract: Techniques for candidate evaluation and filtering are provided. Enrollment criteria for a clinical trial are received, where the enrollment criteria include a plurality of conditions. A plurality of cost vectors is constructed for the plurality of conditions. A set of values for one or more of the plurality of conditions is determined for a candidate, where the set of values does not include a value for at least a first condition of the plurality of conditions. A utilized cost is generated for the candidate, based on the first set of values and the plurality of cost vectors. The candidate is then ranked based on the utilized cost.

Abstract: A truth maintenance method and system. The method includes receiving by a computer processor, health event data associated with heath care records for patients. The computer processor associates portions of the health event data with associated patients and related records in a truth maintenance system database. The computer processor derives first health related assumption data and retrieves previous health related assumption data derived from and associated with previous portions of previous health event data. The computer processor executes non monotonic logic with respect to the first health related assumption data and the previous health related assumption data. In response, the computer processor generates and stores updated first updated health related assumption data associated with the first health related assumption data and the previous health related assumption data.

Abstract: Described herein is a system for remote monitoring of non-critically ill hospitalized patients. The system can include a graphical user interface displaying a representation of the patient census. Each patient is represented by a graphic showing a clinical status, with an underlying expanded view of various parameters. The system can also include a non-transitory memory storing computer executable instructions and a processor configured to execute the computer executable instructions. Upon execution, the computer executable instructions can at least: receive a data stream associated with a non-critically ill hospitalized patient; determine a risk score associated with the non-critically ill hospitalized patient based on data associated with the alarm notification, wherein the risk score represents a probability of the non-critically ill hospitalized patient developing an actionable clinical event; and rearrange the plurality of graphical representations on the GUI based on the risk score.

Abstract: Systems and methods for data warehouse management for medical information is provided. The system receives a set of medical record documents. These documents include evidence for one or more findings which are identified using natural language processing of evidence. The data set is probabilistically transformed into a structured data set (often as a table). This structured data set includes embedded links that reference the source document where the evidence is located. If the finding is supported by multiple articles of evidence, the link will direct the user to the source document with the highest confidence ranking. Evidence in the source document is highlighted and may include associated annotations. Evidence, findings and annotations may be updated by the user.

Abstract: Example embodiments are disclosed for receiving dispensation data corresponding to dispensation of a drug associated with a covered entity, mapping a proprietary code to a standardized drug identification code for the drug, retrieving an audit record based on the standardized code, wherein the audit record identifies an order quantity of the drug ordered by the covered entity using a pricing account, allocating the dispensed quantity of the drug to the audit record up to an amount that equals but does not exceed the order quantity, applying a reorder rule to calculate when to reorder the drug, and subsequent to determining to reorder the drug in response to applying the reorder rule, communicating to a distributor an order message comprising the order quantity and the standardized code of the drug to reorder the drug using the pricing account and for causing the distributor to ship the drug.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate providing treatment suggestions are described herein. In one example, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, treatment directed graphs associated with a plurality of treatment regimens, wherein, in connection with generating respective treatment directed graphs, penalties are applied during weighting of respective regimens as a function of an associated confidence level; identifying a treatment directed graph that corresponds to the patient directed graph; and outputting a set of treatment suggestions associated with the treatment directed graph that corresponds to the patient directed graph.

Abstract: A preauthorization management system. The preauthorization management system allows a health care provider to submit a preauthorization request and track the status of the preauthorization request until a final determination is reached. Once a request has been submitted, the preauthorization management system monitors the status of the request until a final disposition is reached. The preauthorization management system documents the submission and determination process to provide a record that may be used to show an event or outcome occurred. The preauthorization management system offers a simplified and uniform system for managing preauthorization for health care services that reduces or eliminates the need for health care providers to learn diverse systems and procedures of a multitude of health insurance providers.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting future adverse health events using neural networks. One of the methods includes receiving electronic health record data for a patient; generating, from the electronic health record data, an input sequence comprising a respective feature representation at each of a plurality of time window time steps, comprising, for each time window time step: determining, for each of the possible numerical features, whether the numerical feature occurred during the time window; and generating, for each of the possible numerical features, one or more presence features that identify whether the numerical feature occurred during the time window; and processing the input sequence using a neural network to generate a neural network output that characterizes a predicted likelihood that an adverse health event will occur to the patient.

Abstract: A method includes loading a software application onto a data capture device of a subject, collecting electronic texts of a subject from a plurality of computer storage devices across the Internet, including electronic text generated by the data capture device, identifying, from the electronic texts, one or more perceptions held by the subject, generating a classification for each of the perceptions, wherein at least one of the perceptions is classified as a negative perception, defining an engagement degree of the subject with a current engagement model using the classifications of the perceptions, analyzing the negative perception, and defining a score for each of a plurality of strategies of engagement, wherein at least one strategy is selected, using the scores, for application to the subject, and the application of a selected strategy includes transmitting configuration data to the data capture device of the subject, the configuration data updates the software application.

Abstract: A process that facilitates patient treatment management by allowing users to adhere to guidelines, best practices and medical procedures. For each individual patient the process software automatically recommends individualized treatment plans, medical tests that should be carried out, deviations or exceptions to recommended treatments and medical or clinical trials that the patient may be eligible to take part in. The process software will monitor and display in real time all patients being treated by a physician or at a hospital, surgery, clinic or other institution and display at what stage, test, specialty or procedure, or treatment each patient is currently located along a particular guideline, best practice or medical procedure and the cost included either at each stage or so far in the treatment path. The process software will also monitor and display for individual patient and in a consolidated manner financial, user and administrative information in real time.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for automated behavioral assessment. According to one aspect, a method for automated behavioral assessment is provided. The method occurs at a computing platform including a processor and memory. The method includes providing at least one stimulus for eliciting a response from a user. The method also includes obtaining, using a camera or sensor communicatively coupled to the computing platform, the at least one response. The method also includes determining, using the at least one response, a behavioral assessment associated with the user.