Abstract: A method may receive historical metabolic values for an individual having a first medical condition. A method may provide a first subset of the historical metabolic values to a machine learning model to train a generative machine learning model. A method may generate a first predicted metabolic value based on the first subset of historical metabolic values. A method may calculate a root mean square error (RMSE) between the first predicted metabolic value and a corresponding actual metabolic value of a second subset of historical metabolic values. A method may train the generative machine learning model to minimize the RMSE. A method may generate a trained generative machine learning model based on the training.

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: A computer-implemented system for determining trials using a metastatic condition of a patient may include at least one processor programmed to receive a selection of a patient; access, in response to the selection of the patient, a patient dataset associated with the patient; receive a predicted metastatic condition associated with the patient; cause display of at least a first portion of the patient dataset and the predicted metastatic condition; determine, based on at least a second portion of the patient dataset or the predicted metastatic condition, a subset of trials for the patient, wherein the subset of trials for the patient is determined from a plurality of trials; and cause display of at least the subset of the trials for the patient.

Abstract: An external medical device is provided. The external medical device includes a memory and circuitry, in communication with the memory, to receive input specifying at least in part at least one prompt relating to a health survey for a patient, the at least one prompt being customized based on the patient; convert the at least one prompt to an audio representation; and perform the health survey by at least delivering to the patient the audio representation.

Abstract: There is provided a system (100) and method for use in assisting a user to focus on performing a personal care activity. The system (100) comprises a processing unit (102). The processing unit is configured to acquire data associated with the user during the personal care activity, process the acquired data to detect at least one characteristic indicative of a distractive event for the user in performing the personal care activity and initiate one or 5 more actions associated with the detected at least one characteristic indicative of the distractive event to assist the user in focusing on the personal care activity.

Abstract: Methods and systems for rewarding the usage of specific applications connected to an Electronic Health Record used by healthcare provider offices, such as Patient Portals, to accomplish tasks such as messaging doctors using the inline email-like messaging system for non-urgent matters, for requesting appointments online, for requesting refill requests online, sharing personal health data from tracking devices, etc.

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 technique involves providing a natural language interface to an electronic health record (EHR) system to enable a user to navigate the system efficiently. One or more input stimuli are received from the user via the natural language interface and converted into one or more commands that are used to change a navigational or other state of the EHR system. In an embodiment, the one or more commands are displayed in a navigation prioritized list. In an embodiment, the natural language interface is incorporated into an Internet of Things (IoT) device.

Abstract: A diagnostic imaging support system that enables confirmation of abnormalities in anatomical regions of a brain includes capturing images of the brain, specifying regions in the captured images that correspond to the anatomical regions, searching a medical database for similar cases based information associated with the specified regions, and displaying the results of the search.

Abstract: Anonymous DNA/RNA biospecimen tracking process is disclosed for human families to use an anonymous DNA/RNA biospecimen extraction kit that utilizes public key infrastructure, asymmetric encryption, and Non-Fungible-Tokens from a public Blockchain or Distributed Ledger Technology distributed ledger/blockchain to create a Self-Sovereign DNA Fingerprint for each DNA donor, relate, claim ownership, consent to use, establish biological relationship between donors, and keep track of corresponding multi-omics data sets. The process allows entire families to create a Self-Sovereign DNA Fingerprint for each member/donor (using at least 50 SNPs) and explore the genomic revolution without risking their identities, losing track of their biosamples, corresponding datasets and customize data governance by using individual or multi signature wallets in which all data is encrypted using a unique master family encryption key.

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.