Abstract: User interfaces for navigating medical studies are provided. In various embodiments, a human avatar having a plurality of selectable regions is displayed. Indications of the presence of prior studies are displayed corresponding to the plurality of selectable regions. A selection of a region of the plurality of selectable regions is received from a user. An indication of one or more prior study is displayed corresponding to the selected region.

Abstract: A pedometer that records the number of steps over a defined period of time and a moment sensor that records the moments experienced by a prosthesis are used in a networked computer environment to assess the functional activity level and instability of a user. The networked environment may include a user computer and a server computer in communication through the Internet. Both the user computer and the server computer include a functional assessment tool and a stability assessment tool. The tools on the user computer and server computer cooperate in assessing the activity level and the instability of a user. The server computer may further host a Website and a secure online database that provides support to the user including the managing of users and their medical records.

Abstract: Tissue sample management systems include a central network, a medical professional system, and a pathology lab system for processing a tissue sample in a matrix having a sectionable code. At least the pathology lab system includes at least one imaging device, and the central network is configured to process images from the at least one imaging device to identify and record at least the sectionable code of the matrix. Methods for tissue sample processing include providing a matrix having a sectionable code and measurement marks, the matrix for receiving a tissue sample, and identifying the sectionable code from an image taken of the tissue sample in the matrix. Tissue sample-receiving matrices include a sectionable alphanumeric code or bar code, a tissue sample receptacle, and measurement marks formed along a sidewall thereof. The matrices include one or more proteins and one or more lipids.

Abstract: A medication safety device and method can include an infusion pump and a drug library in communication with the infusion pump. The drug library can have upper hard and soft limits and lower hard and soft limits associated with at least one drug. A graphical user interface can display a bar chart showing upper and lower soft limit bars for the at least one drug. The upper and lower soft limit bars can be grabbed and dragged on the graphical user interface in touch screen fashion to new positions associated with new upper and lower soft limits. The graphical user interface and associated hardware and software can be configurable to responsively re analyze data and compare a particular infusion to the new upper and lower soft limits.

Abstract: Methods and systems for monitoring and determining antimicrobial resistance and antimicrobial treatment using genomic subtype information. Various embodiments utilize molecular epidemiology and next-generation sequencing technologies (NGS) to monitor multi-drug resistant pathogens and provide early insight into emergent microbial threats.

Abstract: Systems and methods are provided in which local tissue diagnostic measurements are correlated with archival local tissue diagnostic data from prior tissue analyses to supplement diagnostic measurements with tissue analysis data from prior tissue analyses having similar local tissue diagnostic data. The tissue analysis data may include information such as pathology data, outcome data, and diagnosis data. The archived local tissue diagnostic data and the tissue analysis data may be stored in a database, and employed for a wide variety of methods, involving preoperative, intraoperative, and/or postoperative phases of a medical procedure. Methods and systems are also provided for displaying, on a medical image shown in a user interface, hyperlinked reference markers associated with tissue analyses, where the reference markers are shown at locations corresponding to local tissue analyses, and where associated diagnostic data and/or tissue analysis may be viewed by selecting a given reference marker.

Abstract: The present disclosure relates to a method for monitoring behaviour of a patient in real-time. The method comprises receiving, by a patient monitoring device, data related to the patient from one or more sources. Thereafter, the patient monitoring device classifies the received data into one or more categories based on one or more rules. Further, the patient monitoring device correlates the categorized data to identify one or more activity patterns corresponding to the patient, wherein each of the one or more activity patterns are associated with an activity performed by the patient at predefined time intervals. The patient monitoring devices compares the activity pattern with predefined activity patterns and detects abnormal behaviour of the patient if the identified activity pattern is different from one or more predefined activity patterns corresponding to the patient.

Abstract: A system for matching a pair of patient records as belonging to the same individual or patient is disclosed. A set of matching rules (4) represents persistent characteristics of clinical properties of patients. A clinical property extractor (5) is used for extracting at least one first clinical property from clinical information contained in the first patient record (1) and at least one second clinical property from clinical information contained in the second patient record (2). A match detector (3) is used for detecting whether the first patient record (1) and the second patient record (2) relate to the same patient, based on the first clinical property, the second clinical property, and the set of matching rules 4. A demographic property extractor (6) is used for extracting demographic data.

Abstract: In one aspect, the invention relates to method and systems for automating medical data processing and counseling. A method may include receiving a selection of a condition associated with a plurality of diagnosis possibilities for a patient. The method may further include displaying candidate treatment options based upon, at least in part, the condition associated with the plurality of diagnosis possibilities for the patient. The method may also include receiving a selection of a candidate treatment option from the candidate treatment options displayed and a regimen associated with the candidate treatment option selected. The method may additionally include determining a diagnosis for the patient based upon, at least in part, the condition associated with the plurality of diagnosis possibilities for the patient, the candidate treatment option, and the regimen. The diagnosis may be one of the plurality of diagnosis possibilities for the patient.

Abstract: The current document is directed to methods and systems for organizing, storing, searching, aggregating, and distributing large quantities of biological information obtained for individual patients. In one described implementation, the knowledge and information is stored, in data-storage facilities within cloud-computing-like systems, as clinical actions, biological elements, and variants that are logically linked together to form network-like data structures. Individual patient data and clinical-knowledge databases, including the network-like clinical-knowledge data structures, are hosted in cloud-computing-like data centers along with a variety of services that receive and process queries from users, medical-service providers, and electronic-health-record-based applications and that return requested information to the requesting entities.

Abstract: Methods, systems, and products improve healthcare of patients. An electronic patient chart is retrieved and displayed at a patient room computer system. The electronic patient chart is also displayed at a remotely-located primary computer system, such as a nurse's station or other monitoring party. The patient room computer system is linked to the remotely-located primary computer system such that updates to the electronic patient chart received at the patient room computer system are also updated at the primary computer system to permit monitoring.

Abstract: Mechanisms are provided for caching patient information in a variable list and using the variable list to evaluate patient rules. The mechanisms generate a patient registry comprising a plurality of patient registry records, each patient registry record being associated with a corresponding patient and comprising personal and medical information about the corresponding patient. The mechanisms compile at least one variable list for an input variable of one or more clinical rules. The variable list comprises a plurality of instances of personal and medical information from the plurality of sources that are associated with the variable. The mechanisms also process at least one clinical rule in the one or more clinical rules that references the variable as a criteria for evaluating the at least one clinical rule, based on the variable list associated with the variable to determine if the criteria is satisfied by one or more instances.

Abstract: A claim valuation engine is provided. The claim valuation engine enables a healthcare provider to accurately value an expected reimbursement of a claim from a payer based on a contract between the healthcare provider and the payer. Contract terms, code sets, fee schedules, and other valuation data is input into the engine. The engine receives a claim from a healthcare provider information system, locates a contract applicable for valuing the claim, correlates the claim attributes with the contract terms according to a hierarchy, and determines an expected reimbursement for each claim attribute or group of attributes. The claim valuation engine is further operable to determine contractual allowances, determine under and overpayments by validating remittances, and to simulate valuation of a contract by valuing a claim based on multiple sets of contract terms. The engine is further operable to generate output reports and post results to the healthcare provider information system.

Abstract: Systems, methods, and computer-readable media are provided for identification of patients having an elevated near-term risk of chronic kidney disease progression, including quantitatively predicting whether or not an elevated risk of progression of Stage 3 or Stage 4 chronic kidney disease is likely within a time interval of up to 36 months subsequent to computing the prediction. Based on the prediction, appropriate care providers may be notified so that the risk of CKD progression may be mitigated. In some embodiments, serial measurements are obtained of urine osmolality, and a challenge with an AVP V2 antagonist and serum sodium concentration is provided. From a time series based on the serial measurements, estimates of each variable's velocity and/or doubling-time may be determined. These values then may be combined via a multivariable mathematical model for providing a leading indicator of near-term future abnormalities in kidney function.

Abstract: Introduced here are techniques for developing personalized retroactive insights into how contextual factors can affect glycemic responses. The personalized retroactive insights can be made available to the corresponding individual so that they can examine the impact certain contextual events have had on blood glucose level. A contextual event represents an activity or a circumstance that is related to glycemic response. Rather than state the absolute amount of certain molecules (e.g., carbohydrates, protein, or fat) in a foodstuff, an insight detection platform can instead interpret disparate data types to discover the effect certain contextual events have on blood glucose level.

Abstract: Systems and methods for facilitating delivery of parcels to, from, and between attended delivery/pickup locations. In various embodiments, the attended delivery/pickup locations may be associated with brick-and-mortar retail locations and used to facilitate inventory transfer between locations, shipment of goods purchased at the brick-and-mortar-retail locations to other attended delivery/pickup locations or other locations, and to receive delivery of parcels sent from any suitable location. In some embodiments, the attended delivery/pickup locations are configured to receive shipments of items ordered from online retail websites. In other embodiments, the attended delivery/pickups locations are associated with shopping centers and configured to facilitate shipment of items purchased at the associated shopping centers.

Abstract: A method for processing healthcare information includes: receiving information related to a patient and a plurality of providers involved with caring for the patient; using the information to generate patient centered provider graphs that describe relationships among the patient and the plurality of providers and include an indication of provider availability within a clinical situation; and presenting the graphs to a plurality of uses. An apparatus that is used to practice the method is also provided.

Abstract: In some aspects, a method of using a virtual medical assistant to assist a medical professional, the virtual medical assistant implemented, at least in part, by at least one processor of a host device capable of connecting to at least one network is provided. The method comprises receiving free-form instruction from the medical professional, providing the free-form instruction for processing to assist in identifying from the free-form instruction at least one medical task to be performed, obtaining identification of at least one impediment to performing the at least one medical task, and inferring at least some information needed to overcome the at least one impediment.

Abstract: Cascaded models may be applied to extract facts from a medical text. A first model may be applied to at least a portion of the medical text. The first model extracts at least one first medical fact. The at least one first medical fact is linked to at least first text in the at least a portion of the medical text. A second model may be applied to the first text. The second model extracts at least one second fact that is an attribute of the at least one first medical fact.

Abstract: Provided are methods of delivering decision support systems (DSSs) to healthcare providers, patients, and/or consumers with or without integrated electronic health records (EHRs) for reproductive care and other health conditions. The DSS platforms of the present invention include predication models based upon de-identified data sets and customized algorithms that may be clinic specific, region specific, and/or population specific. The DSS platforms of the present invention also include methods of providing third party payments of an individual's medical bills, wherein the third party is not capable of viewing the personal health identifiers of the individual.