Abstract: Disclosed are systems and methods for predicting patient response to a treatment option. In one embodiment, the image slides from patient tissue samples are divided into patches and morphological patterns correlated with a disease outcome are labeled and given a patch-level score, based on whether the morphological patterns occur only in patients with good outcomes or patients with poor outcomes. A patient-level score can be generated based, at least partly, on the patch-level scores. Patch-level scores can identify regions of interest for targeted biomarker identification.

Abstract: A method is for generating a knowledge base useful in identifying and/or predicting a malfunction of a medical device. The method includes (a) providing virtual components, each corresponding to a component of the medical device; (b) creating a virtual model of the medical device using the virtual components; (c) rendering at least one virtual output parameter of the virtual model, based upon simulation of a malfunction of at least one of the virtual components; (d) providing the at least one virtual output parameter rendered, to the medical device software; (e) correlating a response of the medical device software to the at least one virtual output parameter rendered; steps (c) to (e) being repeated, based upon a plurality of different simulated malfunctions, and the plurality of different simulated malfunctions and responses of the medical device software correlated being used in the generating of the knowledge base on the medical device.

Abstract: A method is provided for treatment of atherosclerotic cardiovascular disease in a subject in need thereof by administering a statin pharmaceutical composition to the subject when the subject is qualified for over-the-counter access to the statin pharmaceutical composition. In some embodiments, the statin pharmaceutical composition includes atorvastatin, fluvastatin, lovastatin, pitavastatin, pravastatin, rosuvastatin, or simvastatin as an active ingredient.

Abstract: A medical incident response and reporting system includes a central server in communication with a contact center having a medical incident case manager communication device continuously monitored by a medical incident case manager. A patient communication device communicative with the case manager communication device to facilitate communication between the patient and the case manager to evaluate the medical incident involving the patient, while recording all communications between the patient and the case manager.

Abstract: An embodiment includes displaying to a physician at least one of: (a)(i) a hospital floor map, (a)(ii) a first patient identifier, and (a)(iii) a second patient identifier, wherein (b)(i) the map displays first and second rooms of the hospital floor, (b)(ii) a first patient is assigned to the first room and the first patient identifier, (b)(iii) a second patient is assigned to the second room and a second patient identifier, and (b)(iv) a first nurse is assigned to the first room and the first patient identifier, (b)(v) and a second nurse is assigned to the second room and the second patient identifier; receiving a selection from the physician, the selection comprising at least one of the displayed first room and the displayed first patient identifier; and sending a communication from the physician to the first nurse, and not the second nurse, in response to receiving the selection.

Abstract: Various devices and methods are provided for machine learning-driven medical diagnostic testing. In one example, a method includes generating a patient-specific collaboration channel comprising a patient-specific dashboard and a communication thread between a care provider team monitoring a patient and a virtual healthcare assistant, storing, at the channel, text- and/or rich media-based messages on the communication thread between one or more care providers of the care provider team and the virtual healthcare assistant, at least a portion of the messages on the communication thread including patient-specific medical data, and responsive to a prompt, outputting at least a portion of the communication thread that includes the patient-specific medical data to a display device.

Abstract: An infusion system to administer fluid is disclosed. The infusion system includes an infusion pump having a pump processor, a pump memory and a pump radio to enable bi-directional communication. The pump memory stores a plurality of fingerprint tokens and security conditions. The infusion system includes a controller with a processor, a controller memory and a controller radio to transmit and receive communication from the pump radio. The controller includes a fingerprint scanner and a graphical user interface (GUI) and controls to manipulate the GUI. The GUI and fingerprint scanner enable the controller to scan and determine tokens based on scanned fingerprints. Additionally, communication between the infusion pump and the controller establish relative proximity between the infusion pump and the controller such that when the relative proximity exceeds a threshold distance at least one of the plurality of security conditions is automatically matched.

Abstract: A system having a system backend having a backend processor configured to define a patient clinical team associated with a patient clinical process comprising of a series of patient clinical tasks effected within the healthcare facility, each patient clinical task with an associated patient clinical task location within the healthcare facility, a group of mobile devices communicably connected via a network to the system backend, each mobile device being associated with and configured for use by at least one care member of the patient clinical team, a low energy (LE) beacon array arranged in a predetermined relationship with and differentiating between different patient clinical task locations, and communicably connected to each of the mobile devices that is configured to resolve its proximity, from the beacon array, relative to the at least one patient clinical task location.

Abstract: A system can include a plurality of infusion pumps and a connectivity adapter in a clinical environment. The connectivity adapter can receive update data, such as a drug library update or an operational software update, and can store the update data within the clinical environment. The connectivity adapter can send the update data to a predetermined number of infusion pumps that have requested the update. At least two subsets of the infusion pumps can receive different blocks of the update data at about the same time. Further, the same or different update data can be provided to the infusion pumps at about the same time.

Abstract: Method and apparatus for predicting beneficial clinical trials for patients. Embodiments include receiving one or more attributes of a first patient. Embodiments include selecting a potential clinical trial for the first patient, based on the one or more attributes. Embodiments include identifying a cohort of patients that are clinically similar to the first patient, based on the one or more attributes, wherein each patient in the cohort has undergone a respective trial that is either (i) the potential clinical trial, or (ii) a clinically similar clinical trial. Embodiments include determining, for each respective patient in the cohort, a respective outcome of the respective trial. Embodiments include generating a predicted outcome for the first patient, based on the respective outcomes for each patient in the cohort. Embodiments include refraining from recommending the potential clinical trial for the first patient, based on the predicted outcome.

Abstract: Described herein are systems and methods for classifying clinical episodes in order to more accurately generate alerts for those episodes that warrant them. In some embodiments, alerts are only generated for those episodes that are new or different from previous episodes, where the previous episodes have been found to be not significant enough to warrant an alert.

Abstract: System and method to determine a reduced cohort criteria, the method including: defining N selection criteria to select a cohort from among a universe of patient data; querying a patient database, by use of a processor, and by use of the N selection criteria, in order to define a full patient population; selecting a subset of size M of the N selection criteria, to produce a subset criteria; selecting a permutation of the subset criteria, to produce a permuted subset criteria in a predetermined order; for each member of the permuted subset criteria: querying the patient database by use of the member of the permuted subset criteria to produce a respective interim patient population; combining all respective interim patient populations to produce a partial patient population; and calculating, by a processor, a coverage figure of merit that compares the partial patient population to the full patient population.

Abstract: In particular, systems and methods for facilitating the purchase of health-related items such as durable medical equipment are provided. In one embodiment, a method comprises: responsive to a selection of a health-related product input by a user, automatically determining if the health-related product is a qualified healthcare expense; calculating an out-of-pocket cost to the user of the healthcare product based on a health insurance plan of the user; and generating a coupon for the health-related product that discounts a retail cost of the health-related product to the out-of-pocket cost responsive to a merchant accepting the coupon. In this way, a healthcare consumer may utilize their healthcare insurance benefits to purchase health-related products such as durable medical equipment from retail merchants.

Abstract: Methods, computer systems and computer readable media for receiving data and information from medical devices in a healthcare setting are provided. In embodiments, a graphical indication is provided that indicates an infusion is being administered. Upon an interaction with the user interface being received, a billing link is provided. Once a selection of the billing link is received, encounter specific infusion information is provided. The encounter specific infusion information is provided to a billing service.

Abstract: Systems, methods and computer-readable media having computer-executable instructions embodied thereon, for automated configuration, implementation and/or maintenance of a healthcare information system are provided. The systems, methods and computer-readable media of embodiments described herein utilize a number of information sources prior to initiation of configuration, implementation and/or maintenance to tailor or flex the process in a manner that is facility- and/or personnel-specific, thus alleviating solicitation of unnecessary information. Such information sources may include, by way of example only, one or more of facility- and/or personnel-specific content, facility and personnel profiles, site profiles, help and knowledge assistance information, and pre-configured content options.

Abstract: A method for analysing medical treatment data based on deep learning via an intelligent analyser thereof, effectively alleviates work stress for doctors in a hospital or medical researchers and performs scientific analysis on a large amount of medical treatment data or medical data and obtain an analysis result matched therewith. The core content of the method is the establishment of a model in a computer using a deep convolution neuron algorithm in deep learning. The model assists the doctors to make correct judgments and effective decisions for the large amount of medical treatment data using mass medical treatment data selection and optimization model parameters by “training” the model to automatically learn a pathology analysis process of the doctors or the medical researchers and then helping them in processing the large amount of medical treatment data or medical data.

Abstract: A system for purchasing performing operations in response to preauthorization and receiving geographic coordinates. The system includes, but is not limited to, a remote server, communicatively coupled to a third party system and a user database. The remote server is configured to query the user database to retrieve a unique identifier associated with the user and with prescription information for the user. The remote server includes a link in the unique identifier and transmits a message including the unique identifier to a local device associated with the user. The remote server receives instructions from the local device and obtains preauthorization from the third party system in response to the instructions. Furthermore, the remote server receives and tracks geographic coordinates of the local device. In response to preauthorization and tracking the geographic coordinates, initiate operations in preparation for arrival of the user.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a drug response estimation engine. The drug response estimation engine receives real-world evidence for a plurality of patients. A patient similarity network builder component executing within the drug response estimation engine builds a patient similarity network. A regression analysis component executing within the drug response estimation engine builds a network localized regression analysis approach. A patient clustering component executing within the drug response estimation engine groups patients based on demographics and comorbidities to form a plurality of patient clusters.

Abstract: Techniques for cognitively interpreting comparative statements are provided. A corpus of documents associated with treatment of a first medical disorder is received. Relative efficacies for a plurality of therapies are determined by, for at least a first respective document in the corpus of documents, identifying and extracting, using one or more natural language processing techniques, a conclusion specified within natural language text of the respective document, where the conclusion includes a comparison between two or more therapies of the plurality of therapies, determining a sentiment of the extracted conclusion, with respect to at least one therapy of the plurality of therapies, and identifying one or more cohorts of patients that are associated with the conclusion. A knowledge graph is generated based on the relative efficacies.

Abstract: Various systems and devices are provided for facilitating communication in a healthcare setting. In one example, a system includes a display and a computing device operably coupled to the display. The computing device stores instructions executable to output, to the display, a patient-specific dashboard including medical information specific to the patient, the dashboard further including a displayed link to a patient-specific communication thread; and responsive to a user selecting the link, output to the display a portion of the communication thread, where the communication thread includes communication among one or more care providers monitoring the patient and one or more virtual healthcare assistants.