Abstract: The present invention relates to an information provider for providing information on perceived health status of a patient, comprising a body, a data carrier containing data regarding at least one health status attached to said body. The invention is characterised in that said data carrier is designed to provide said data regarding at least one health status to a reader configured to read said data carrier.

Abstract: A system comprising a plurality of imaging devices, each imaging device being associated with a known location and memory having programming instructions stored thereon. The system comprises one or more processors having programming instructions which when executed to cause the one or more processors to receive images from at least one imaging device, recognize in the received images of the at least one imaging device at least one portable machine, determine a location the portable machine based in part on the location of the at least one imaging device; and predict current availability of the at least one portable machine based on the received images, detected features of the recognized at least one portable machine, and at least one object in a scene of the received image.

Abstract: Systems and methods for generating customized annotations of a medical record are provided. The system receives a medical record and processes it using a predictive model to identify evidence of a finding. The system then determines whether to have a recall enhancement or validation of a specific finding. Recall enhancement is used to tune or develop the predictive model, while validation is used to rapidly validate the evidence. The source document is provided to the user and feedback is requested. When asking for validation, the system also highlights the evidence already identified and requests the user to indicate if the evidence is valid for a particular finding. If recall enhancement is utilized, the source document is provided and the user is asked to find evidence in the document for a particular finding. The user may then highlight the evidence that supports the finding. The user may also annotate the evidence using free form text.

Abstract: Techniques are disclosed for gating state transitions of a medically related device. Specifically, detection that a particular condition is satisfied can directly or indirectly trigger switching the medically related device from operating in a normal operation mode to a suppressed operation mode.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter). Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: The invention relates to a method and an apparatus for selecting a medical accessory for treatment of a patient. The method comprises at least one of the following method steps. A first method step of receiving a patient identifier identifying the patient to be treated. A second method step of determining a treatment identifier of the treatment to be performed which identifies the treatment to be performed on the patient. A third method step of comparing an accessory database containing data sets on at least two medical accessories for one or more patient treatments to an actual inventory of stocked medical accessories. A fourth method step of selecting a suitable medical accessory for a treatment to be performed on the patient by means of the accessory database and on the basis of at least the patient identifier, the treatment identifier and the actual inventory. A fifth method step of segregating the selected medical accessory.

Abstract: Described herein are various technologies pertaining to de-identifying patient data. A computing system removes protected health information and/or sensitive information from patient data by selectively replacing data in the patient data to retain the clinical relevance of the patient data after the patient data is de-identified, thereby retaining the utility of the de-identified patient data for tasks such as statistical analysis of patient data, testing of healthcare software functionality, and others.

Abstract: Systems and methods are disclosed for providing interactive handoff protocol user interfaces. In one embodiment, a computerized system may comprise a memory storing instructions, and a processor of a first electronic device. The processor may be configured to receive a pick-up request from a second electronic device, receive an acceptance indication for the pick-up request via an input device, provide a GUI prompting a scan of an identification tag on an individual, the GUI including at least one button in a non-selectable state, capture an image of the identification tag using the first electronic device, determine an identity of the individual based on the captured identification tag image, compare the determined identity to an identity in the received pick-up request, and modify the at least one button to a selectable state, wherein selection of the at least one button advances a handoff protocol for the individual.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a mobile computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter). Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement.

Abstract: In a fee-setting system, an assessment unit assesses the degree of appropriateness in a medical facility regarding the use of a device relating to medical treatment used in the medical facility based on the degree of deviation and information regarding the medical facility, in which the degree of deviation that is obtained by comparing information indicating the usage status of the device that has been detected by a detection unit for detecting the usage status of the device with reference information regarding the method of using the device. A calculation unit calculates a fee to be charged to the medical facility based on the degree of appropriateness.

Abstract: We disclose a digital vaccine system which presents a user-driven avatar with tasks that test the avatar's physical fitness and food offerings at various stages. The avatar's appearance is responsive to the avatar's performance on the tasks and selection of the food offerings. The digital vaccine system uses deep learning systems to configure and update its parameters.

Abstract: Devices, systems, and methods for real-time video processing and video-based user-interfacing via a videobot are provided. In an aspect, a first compute device receives a videobot deployment request with respect to a communication session with a user at a second compute device. A videobot is provisioned in response to the videobot deployment request to provide a real-time, video-based user-interface between the user and the videobot via the second compute device. A multimedia stream associated with the videobot is sent to the second compute device to cause the second compute device to render the videobot during the communication session. A live multimedia stream associated with the user is received from the second compute device. A user gesture event indicative of patient intake information is detected in connection with an act by the user during the communication session based on at least one video frame of the live multimedia stream.

Abstract: Method and apparatus for predicting clinical trial eligibility for patients. Embodiments include determining a current value for each of a plurality of attributes of a first patient. Embodiments include identifying a cohort of patients that are clinically similar to the first patient, based on the plurality of attributes. Embodiments include analyzing data associated with the cohort of patients to determine an attribute trend for at least a first attribute the plurality of attributes. Embodiments include generating a predicted value for the first attribute, based on the current value of the first attribute and the attribute trend for the first attribute. Embodiments include identifying a plurality of clinical trials based on the first attribute. Embodiments include generating a probability that the first patient will be eligible for each of the plurality of clinical trials at a future time, based on the predicted value for the first attribute.

Abstract: Clinical activity network applications are described. Some embodiments provide an Operational Intelligence Platform (“OIP”) that is configured to generate a clinical activity network that uniformly represents actions and data updates occurring in a source healthcare system. Each clinical activity instance associates an action (or activity) with a context, a time, a user, and a patient or other subject. By analyzing collections of clinical activity instances, applications can identify patterns, processes, and relationships within the healthcare setting that would not necessarily be detectable when analyzing data from a single source, such as the source customer database.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter). Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement.

Abstract: This terminal device is provided with: an acquisition unit which receives, from a server, information displayed on a display device used for medical treatment or care, and stores the received information in a storage unit; and a display control unit which displays the information on the display device. When a display stop condition, which indicates the likelihood that there is a difference between information stored in the server and information stored in the storage unit, is satisfied, the display control unit stops the display of at least information about biological information on a facility user who is a person requiring the medical treatment or care, among the information on the display device.

Abstract: By extracting clinical data of any format from respective different sources, a data repository normalized to a generic format is created. A medical domain specific language may be used to interact with the data repository for identifying cohorts and gaps in care for the respective cohorts. Any rules for finding gaps in care are converted into the medical domain specific language for determining gaps. This standardization in both the data repository and rule application may allow for a true cost and time to value solution accessible to many different medical practices.

Abstract: A method for capturing patient feedback for a medical treatment includes: receiving user instructions indicating a symptom being treated, a symptom score for the symptom being treated, and an indication of a beginning of a treatment session; receiving patient feedback comprising an updated symptom score for the symptom being treated and/or absence or presence of one or more of a plurality of attributes; storing the received patient feedback and a time in the treatment session at which the respective patient feedback was received; repeating the receiving of patient feedback and storage of data during the treatment session; and receiving a user instruction indicating an ending of the treatment session, wherein an alerting module alerts a user of the computing device for input of patient feedback after a predetermined period of time has elapsed following receipt of patient feedback without a subsequent receipt of patient feedback.