Abstract: A device that holds a medical dictionary indicating medical concepts, drug information, medical care information and documents indicating a medical concept not included in the medical care information, identifies from the documents, for each combination of a medical concept not included in the medical care information and a drug included in the drug information, a document indicating the medical concept and the drug. The device generates a medical concept list including the medical concept indicated by the medical dictionary included in each identified document and determines, based on a probability of each medical concept not included in the medical care information appearing in a context of the document indicated by the medical concept list, from among the medical concepts not included in the medical care information, a medical concept having an influence on a prescription of the drug included in the drug information.

Abstract: A method includes: receiving, at a clinical intelligent agent, patient specific data comprising information regarding the condition of the patient in a room; determining an event requiring action has occurred with respect to the patient, wherein the determining comprises comparing, using a monitor of the clinical intelligent agent, the patient specific data with historical reference data; displaying one or more alerts on a patient screen; scoring, using the clinical intelligent agent, the one or more alerts, wherein the scoring comprises escalating the one or more alerts based upon a response to the one or more alerts; and prioritizing, using the clinical intelligent agent, care provider tasks displayed on the patient screen based on the score of the one or more alerts. Other aspects are described and claimed.

Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: A system, method and wireless earpieces for populating an electronic medical record utilizing wireless earpieces. The sensor measurements are analyzed. The sensor measurements are associated with the electronic medical record of the user. The electronic medical record of the user is populated with the sensor measurements. Communications including the electronic medical record are communicated.

Abstract: A system and method for acquiring, compiling and displaying data indicative of healthcare data workflow within an integrated healthcare enterprise simplifies the monitoring and identification of inefficiencies such as bottlenecks in the enterprise. Information gathered from enterprise system components and data files are used to measure individual component performance. System alerts and messaging capabilities allow an enterprise administrator to remedy potential bottlenecks before problems arise. Remedial measures may be programmed into the system to automatically remedy inefficiencies as they are identified.

Abstract: Method and System for providing a medical drug recommendation. Time and location data is read from received client data. Weather data is retrieved based on the time and location data and the weather data is stored in a user data set. A medical drug recommendation is computed from a user data set that comprises migraine event data by using a statistical model. Furthermore, a server is prepared to provide medical drug recommendations, wherein a statistical model for delivering a medical drug recommendation is adjusted by providing user data as input data to a statistical model, the user data sets comprising migraine events.

Abstract: The technology described herein relates to using predictions about patients' future health care utilization and/or outcomes (e.g., patients' expected future adherence to medication regimens) and the expected economic benefits of targeted improvements in the same utilization and/or outcomes (e.g., reduced likelihood of hospitalization attributable to more consistent medication use) to implement more effective and efficient health care improvement programs. The technology described here computes which subset of patients should be included in a value-based health care provider payment scheme and what the specific bonus payment amounts should be such that expected benefits from better patient outcomes, once realized, are greater than the expected costs of the payment scheme itself.

Abstract: Machine learning based methods for planning, execution, and reporting of clinical trials, incorporating a patient burden index are disclosed. In one aspect, there is a method for determining a patient burden index. The method includes parsing a protocol for a clinical trial. The method further includes providing factor data for each of a plurality of patients. The method further includes calculating a patient burden index for each of the plurality of patients based on the parsed protocol and the provided factor data for each of the plurality of patients.

Abstract: The technology provides for utilizing and displaying physician analytics. For example, a result metric for a physician is based on a value metric, a quality metric, and/or a quantity metric. The value metric, quality metric, and/or quantity metric may all be received from different sources. The result metric may be displayed on a chart, or the result metric may be utilized for determining referral recommendations for a physician. The result metric may be displayed as a physician indicator on the chart. An insight for the physician may also be determined from the result metric. The insight may be based on the location of the physician indicator on the chart, and the insight may be represented by the color or other visual attribute of the physician indicator. For referral recommendations, the result metric may be used to adjust the rank of a physician in a referral search result.

Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: An inbound message including medical record content may be received. The inbound message may indicate a healthcare entity and a vendor entity. It may be determined, from the healthcare entity and stored correspondences between medical record formats and healthcare entities, that the medical record content of the inbound message is in a first medical record format. Which configuration record of stored configuration records specifying combinations of sets of rules may be determined to apply as a translation to the inbound message based upon the medical record content of the inbound message and the first medical record format. The sets of rules as indicated by the configuration record may be accessed and applied to the inbound message to translate the medical record content in the inbound message from the first medical record format to the standardized format. The standardized format may be transmitted to the vendor entity.

Abstract: The present disclosure provides systems and methods for automatically generating telemedicine platforms for providers. A marketplace of healthcare services and associated pricing and other terms is made available to employers, individuals, and/or health insurance companies. Employers and/or health insurance companies can select a subset of options from the marketplace to create a customizable sub-marketplace of healthcare services to offer to their employees or insureds. Providers may modify their offerings in the marketplace to fit within guidelines established by the employers or health insurance companies to be automatically included in the sub-marketplace of healthcare services.

Abstract: The present invention describes a system of automatic interaction between three groups of participants: a multitude of health care provider units, pharmacies or pharmaceutical or medical device manufacturers, a central organization system and a multitude of potential health care users or payers such as potential patients or groups of patients, employers or insurance companies.

Abstract: Embodiments of the invention include a cloud-assisted rehabilitation system for assisting in the rehabilitation of musculoskeletal conditions, and a method for rehabilitating patients having musculoskeletal conditions. A rehabilitation portal can aggregate and de-identified musculoskeletal rehabilitation information that is gathered from various intelligent musculoskeletal rehabilitation apparatuses attached to a group of patients. The rehabilitation portal can facilitate crowd communication among the group of patients. A particular rehabilitation experience can be compared with other rehabilitation experiences and data from other patients. The rehabilitation portal can also facilitate crowd communication among a group of healthcare professionals so that the plurality of healthcare professionals can communicate with each other and compare information regarding different rehabilitation experiences based at least on the aggregated de-identified musculoskeletal rehabilitation information.

Abstract: A system and method for analyzing risk and providing risk mitigation instructions. The system receives analyzes sensor data and other data corresponding to a user to determine a test group. The system uses the test group to determine a risk score, and, subsequently, a risk mitigation strategy. Machine learning techniques are implemented to refine how the test group, risk score, and mitigation are each selected.

Abstract: A computer-based system configured to present a user interface that enables a user to access multiple clinical trial systems via a common secure web-based interface. Data integration and reconciliation achieved using an integration platform, in which multiple clinical trial systems are connected to a central messaging hub, provides an integrated clinical trial workflow system that reduces the redundancy in data entry and functionality present in conventional clinical trial workflow systems that employ standalone systems for various aspects of clinical trial management. Aggregation of data using the integration platform provides clinical trial directors with consolidated useful information for making management decisions and the user interface may be dynamically configured based, at least in part, on user access credentials resulting in a more efficient workflow for administrators of a clinical trial.

Abstract: Embodiments disclosed herein relate to a computerized method of selecting an optimal medication for a patient, comprising: providing a user with communication access to a central server having in memory a database of a rule set associated with a list of medications available, the rules set numerically ranking the suitability of a medication for a patient; allowing upload of at least a portion of an electronic medical record for an identified patient; allowing input of a patient diagnosis, and receiving a search request for a suitable treatment medication; comparing the rules set, with the uploaded electronic medical record; determining (e.g., scoring and calculating) the suitability of medications from the list of medications available; providing a displayable list of medications suited for the patient, wherein the list is ranked according to the preference of the medications for the patient.

Abstract: This disclosure includes techniques for analyzing patient data. In one example, a method includes accessing, by a computer system, one or more databases comprising health information, with protected health information, for a plurality of patients, accessing, by the computer system, an analytical model, and receiving, by the computer system via a user interface, instructions to apply the analytical model to health information for each of the plurality of patients. The protected health information is isolated from the user interface to restrict access to the protected health information. The method further includes applying, by the computer system, the analytical model to health information for each of the plurality of patients, and storing a result of the analytical model to the one or more databases.

Abstract: A system and process for dynamically managing a procedure. The system includes a data collection device(s) that objectively monitor a subject and transmit such information to the system and real time position components that report on the availability of an individual(s) to perform the procedure. The system reviews the information, provides a subject diagnosis and recommends equipment. The system can also schedule and monitor the procedure. The individual(s) performing the procedure have the option of consulting with relevant experts and visually interacting with the experts.

Abstract: Implementations of the present disclosure include receiving a document including data representative of an adverse event, providing a case including a set of fields, each field being populated with a value, querying a safety system based on a query that includes values of the case, receiving a sparse matrix based on query results responsive to the query, the sparse matrix including two or more vectors, each vector of the two or more vectors representing a historical case score, for each historical case, determining a score based on a respective vector of the two or more vectors and an input vector representative of the case, each score representing a degree of duplicity between the case and a respective historical case, and providing historical cases for display to a user, the historical cases including the two or more historical cases in rank order based on respective scores.