Abstract: A system for prioritizing user symptom complaint inputs. The system includes a KNN module operating on at least a computing device configured to receive a plurality of symptom complaint datums, receive suspected disease state training data, calculate an optimal vector output utilizing a k-nearest neighbor algorithm and generate an optimal vector output containing a suspected disease state. The system includes a triage module operating on at least a computing device configured to receive the optimal vector output, generate a triage urgency category label, select triage training data as a function of the triage urgency label, generate using a supervised machine-learning model a disease criticality model, evaluate the disease criticality score, and display the ranked disease criticality score for each of the plurality of suspected disease states.

Abstract: Methods, computer-readable storage media, and systems for visually grouping related diagnoses and/or encounter/visit data together to provide treatment providers and patients with a summarized view of a patient's treatment per condition and how that treatment has changed over time are provided. Also provided are methods, computer-readable storage media, and systems for conflating related diagnoses and/or encounter data into a visual representation that summarizes a patient's treatment per condition and provides quickly discernible insight into how such treatment has changed over time.

Abstract: Systems, methods, and computer-readable media for declining, attaching, and editing patient context to mobile voice communication are provided. Patient demographic or alert information is attached to items within call histories associated with voice communication which are stored in the EMR and utilized for later analysis (e.g., analytics, patient progress, billing, reimbursement, staff scheduling, patient acuity, and the like). In embodiments, the context is declined, attached, or edited to items from the call history. In embodiments, the context is attached to items in the call history when the voice communication is initiated.

Abstract: A system and method for tuning the parameters of a therapeutic medical device comprises a movement measurement data acquisition system capable of wireless transmission; processing comprising kinematic feature extraction, a scoring algorithm trained using scores from expert clinicians, a therapeutic device parameter setting adjustment suggestion algorithm preferably trained using the parameter setting adjustment judgments of expert clinicians; and a display and/or means of updating the parameter settings of the treatment device. The invention facilitates the treatment of movement disorders including Parkinson's disease, essential tremor and the like by optimizing deep brain stimulation (DBS) parameter settings, eliminating as much as possible motor symptoms and reducing time and costs of surgical and outpatient procedures and improving patient outcomes.

Abstract: A method, system, and computer product for prompting a patient to take a medicine including collecting medicine prescription information associated with a patient, collecting medicine usage data associated with the patient, comparing the medicine usage data with the medicine prescription information, determining whether a medicine is taken by the patient as prescribed in the prescription information based on a comparison result of the medicine usage data and the prescription information, and generating one or more control signals to interrupt operations of one or more devices within an environment of the patient or environments of the patient's family member or caregivers, in response to determining that the medicine is not taken as prescribed.

Abstract: A computer implemented method modifies a unit of medical equipment based on never-event cohorts, where a never-event is a preventable error experienced by a patient while receiving medical care. One or more processors process patient care data to form digital patient care data. The processor(s) analyze the digital patient care data using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The processor(s) receive, from a set of sensors, facility event data that describe an electrical fault in a unit of medical equipment used on patients in the patient care facility in order to modify the digital patient care data, and then modify the unit of medical equipment in order to correct the electrical fault based on the modified digital patient care data.

Abstract: System and methods implement a rules-based decision engine that identifies vehicle with a high total loss potential based on vehicle details and damage information. This can be done by applying weights to the various criteria and comparing a sum of the applied weights to a threshold. An update mode allows for the subsequent update of the determination of whether the vehicle is a likely total loss based on additionally acquired information.

Abstract: According to embodiments of the present invention, medical treatment outcomes are simulated. A system receives a request to determine a medical treatment pertaining to a medical condition of a patient. The request is applied to one or more models, via a processor, to simulate outcomes for a plurality of different medical treatments for the medical condition, wherein the one or more models account for impacts of the plurality of different medical treatments on use of medical treatments awaiting future approval. The medical treatment is determined from the simulated outcomes, via a processor, with a desired level of impact on the medical treatments awaiting future approval based on characteristics of the patient. Methods and computer readable media are also provided herein for simulating medical treatment outcomes.

Abstract: A method for controlling an information terminal causes a computer of the information terminal to receive, from a case retrieval system, a plurality of similar medical images having a feature quantity of a region of interest and a certain degree of similarity in accordance with the region of interest included in a target medical image, displays a display screen displaying the plurality of received similar medical images on a touch panel display, the display screen including a display region in which at least some of the plurality of received similar medical images are displayed, displays, if selection of a first similar medical image from among the at least some of the plurality of received similar medical images displayed in the display region is detected, the first similar medical image across the display region, and displays, if a swipe operation performed on the first similar medical image is detected, a second similar medical image, which has second highest similarity next to the first similar medical im

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising a memory configured to store sensor data obtained from a person, and at least one processing core configured to perform a determination, based at least partly on the stored sensor data, concerning whether conditions are propitious to a biological measurement, and responsive to the conditions being determined to be propitious, to cause a triggering signal to be initiated concerning the biological measurement.

Abstract: The specimen analysis apparatus of the present invention comprises a measuring part; a display part; and a control part. The control part controls the measuring parts, displays on the display part an alarm display region displaying an alarm of a failure occurred in the measuring part, and a recovery operation display region displaying a recovery operation to cancel the alarm displayed in the alarm display region, and, when multiple alarms have occurred, displays multiple recovery operations to cancel them in the order of from higher priority to lower priority.

Abstract: The present invention relates to a system and method for real-time delivery of medical tests and related data from laboratories (12) or similar sources (18) to portable communication devices such as mobile phones (14), text-enabled pagers (14) and web-enabled personal digital assistance (PDA's) (14) and other WAP devices (14). The subject system enables physicians to access test results remotely as soon as they become available. Also, the system allows the physician to develop an electronic prescription and submit the electronic prescription to a pharmacy using the portable communications device (14).

Abstract: The disclosure describes a patient registry data system that can be used to aggregate clinical, molecular, and immune parameters involved in disease initiation, progression, and response to treatment. The disclosure can allow participants, researchers, and physicians to visualize data based on parameters, such as participant demographics and immune system data.

Abstract: Automatic detection of disease presence from combining disease-specific measurements with textual descriptions of disease and its severity in unstructured textual reports is provided. In various embodiments, a knowledge graph of clinical concepts is read. Based on the knowledge graph, a plurality of associations are determined between disease names, symptoms, anatomical abnormalities, and qualifiers. A corpus of clinical reports is read. Based on the plurality of associations, a plurality of portions indicative of a disease condition are located within the corpus of clinical reports. Within each of the plurality of portions, name/value pairs are detected corresponding to measurements indicative of the disease condition. The measurements indicative of the disease condition are extracted.

Abstract: Systems, methods and computer-readable media are provided for determining appropriate staffing levels above acuity-based forecast baseline values, to provide compliance with regulatory ‘patient-to-nurse’ ratio thresholds within a given service level or statistical probability. A non-zero and optionally stochastically varying leadtime may be provided for sourcing nurses and may ascertain whether significant patient demand and labor supply chain interdependencies exist via the bullwhip ratio, using predictive modeling based on a ‘safety-stock-over-leadtime’ (SSL). Variations that may arise according to different healthcare institutions' policies for shift-bidding, scheduling, use of contract nursing resources, and other aspects, may be accounted for in the predictive models.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for predictive analysis and interventions to limit disease exposure. In some implementations, user data indicating a prospective action of a user of a mobile device is received. Content is provided to cause the mobile device associated with the user to present a prompt for user input regarding the prospective action of the user. Potential future exposure of the user to a disease is evaluated based on response data indicating a response to the prompt. A disease exposure prevention option for the user is selected or customized for the user based on at least one of the user data or the response data. Content is provided to cause the mobile device associated with the user to present the disease exposure prevention option.

Abstract: The present invention relates to methods for remotely tuning treatment parameters in movement disorder therapy systems where the subject and clinician are located remotely from each other. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

Abstract: The present invention relates to methods for remotely tuning treatment parameters in movement disorder therapy systems where the subject and clinician are located remotely from each other. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

Abstract: A health provider matching service is provided to match patients to health providers based on a semantic relationship graph of data associated with conditions of patients. Using natural language processing, the service identifies terms describing symptoms, treatments, and health providers associated with a condition. The service then identifies semantic relations among the terms and probability distributions of the terms to generate a semantic relationship graph. Quality information of therapists is combined with machine learning techniques to identify features that are used to distinguish high quality and low quality providers. Based on the semantic relationship graph and the derived quality information, the service matches a patient to a health provider suitable to treat the particular needs of the patient. The service also handles social, behavioral, or emotional issues for which medications are not appropriate.

Abstract: Data processing and compression of healthcare information may be performed by mapping the attributes of healthcare data from a standard healthcare coding to one or a few encoded bytes to greatly reduce the data storage and transmission requirements, facilitating the use of healthcare data storage and transmission in disconnection, intermittent, or low-bandwidth environments. The disclosed compression can facilitate the movement of large amounts of patient information using relatively low storage capability devices.