Abstract: A mechanism is provided to implement a health risk assessment system for adaptively and dynamically generating a personalized questionnaire for health risk assessment of a patient. A set of responses are analyzed and a patient is grouped to an initial group that matches a similar patient group. Utilizing the initial group, an initial question is selected to present to the patient. Responsive to receiving a current response to the initial question, the current response is analyzed, the patient is grouped to a next group, and a next question is identified and presented to the patient. The process continues until a last group is reached where a scoring of possible health risks associated with the patient is performed based on each response provided by the patient and identified groupings. A final possible health risk or ranked set of possible health risks is then presented based on the scoring.

Abstract: A method in the field of health related fitness is disclosed for preparing and monitoring a customized exercise prescription based on scientific and concrete data and by activating all of the fitness components, and includes the process steps of dividing the strength component value into three separate sub components as lower extremity strength, upper extremity strength and trunk strength, creating an image of fitness map on the display (screen) which shows the ratios of fitness component values according to the age- and gender-related norms, determining exercise strategy by putting the fitness components of a person in order with respect to their priority of effect to health in accordance with the measurements of fitness components of a person, and preparing an exercise prescription which will provide simultaneous improvement of fitness components of a person.

Abstract: According to some aspects, a system for automatically processing text comprising information regarding a patient encounter to assign medical codes to the text is provided. The system comprises at least one storage medium storing processor-executable instructions, and at least one processor configured to execute the processor-executable instructions to perform analyzing the text to extract a plurality of facts from the text, identifying at least one of the plurality of facts to be excluded from consideration when assigning medical codes to the text, and evaluating each of the plurality of facts, except for the identified at least one fact, to assign one or more medical codes to the text.

Abstract: A system, method and program product, the system comprising: memory comprising one or more non-transitory computer-readable media comprising: a master patient database; an exchange partner database; a sub-network database; and a global identifier database storing a plurality of global identifiers; and one or more computers configured with: an inbound module for receiving incoming request data or results data from an exchange partner, including a sub-process to determine when one of a plurality of methods is identified by the incoming data, a sub-network and/or one or more responding exchange partners, a requested data type, and whether a patient is identified; a sub-process to create when the incoming data is destined for a different exchange partner, a respective communication manager sub-process for each of the one or more or responding exchange partners; an outbound request module that has a multi-level consent determination process, and a sub-process to create, by the one or more computers, a global ident

Abstract: Methods and systems for determining that a medical delivery device has been activated may be provided. According to certain aspects, a user captures a first image to determine if a medical delivery device is ready to be activated. The first image is transmitted to a health care provider which verifies that the medical delivery device should be activated. If the medical delivery device is to be activated, an electronic device instructs the user to activate the medical delivery device. Subsequently, the user transmits details about the activation of the medical delivery device to the health care provider to update a medical record.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing system that identifies information about a trial program. The information is related to healthcare data for a subset of providers. The system identifies a provider based on analysis of the information and the healthcare data and provides trial program criteria for analysis at a provider system. The provider system has access to healthcare data for subjects that interact with the provider. The computing system generates data indicating a result of screening each subject by analyzing the trial program criteria against healthcare data for each subject and receives data for a selection of a subject from the provider system. The selection is determined using screening data for the subject. A referral network of the system provides the screening data for access and analysis at an investigator system.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage care pathways and associated resources. An example apparatus includes a system monitor to coordinate a patient data analyzer and a care pathway processor to at least: identify a first patient record associated with a first care pathway; and identify a second patient record that is not on the first care pathway but should be on the first care pathway. The example apparatus includes a graphical user interface including information regarding, in a first area, the first patient record associated with the first care pathway and, in a second area, the second patient record that should be associated with the first care pathway.

Abstract: A document requesting unit (150) and a document suggestion unit is provided. The document requesting unit is configured for retrieving documents to assist a first user in a first clinical task on patient data of a first patient, the document requesting unit (150) comprising a context builder (157) configured to determine a first context (142) based on a description of the first clinical task and/or the patient data of the first patient, a database unit (152) configured to retrieve a document (122) selected by the user from an electronic document database (120), and a tagging unit (156) configured to tag the selected document (122) with the first context to enable a document suggestion unit (250) to suggest the selected document (122) during a second clinical task on patient data of a second patient.

Abstract: Methods, apparatus, and systems are disclosed to improve selection of medical treatment. An example apparatus includes a user interface to receive health information for a patient and a data analyzer to access historical patient information stored in a database, and determine a condition based on comparing historical patient information stored in a database to the health information for the patient. The example apparatus includes a machine learning engine to recommend a treatment plan, including: a data analytic algorithm server to determine success rates of the treatment plan for the condition; and a model generator to generate a patient model, wherein the patient model predicts effects of the treatment plan. The example apparatus includes a communications interface to facilitate scheduling an appointment with a clinician.

Abstract: Systems and methods for automatically populating a post-operative report of a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including receiving an identifier of a patient, an identifier of a healthcare provider, and surgical footage of a surgical procedure performed on the patient. The method may include analyzing frames of the surgical footage to identify phases of the surgical procedure based on interactions between medical instruments and biological structures and, based on the interactions, associate a name with each phase. The method may include determining a beginning of each phase and associating a time marker with the beginning of each phase. The method may include populating a post-operative report with the patient identifier, the names of the phases, and time markers associated with the phases in a manner that enables the health care provider to alter the post-operative report.

Abstract: Generally discussed herein are systems, apparatuses, and methods that relate to altering patient care and increasing the efficacy of medical diagnostics. A standard deviation of deltas (SDD) plot of analyte measurements can provide insights into the medical diagnostics. One or more SDD plots can be used to help diagnose a patient and alter a patient's care depending on the relation of the patient's own SDD plot characteristics relative to the one or more SDD plots. Any or all of the analysis can be automated, such as to reduce human interaction with process.

Abstract: Mechanisms are provided for determining values to associate with medical conditions of a patient. A patient assessment is received that comprises a natural language question and a corresponding answer, about a patient, provided in response to the question. Cognitive natural language processing is performed on the patient assessment to extract features from the natural language question and corresponding answer. The extracted features are evaluated within a context of a pre-existing electronic medical record of the patient. A value for a medical condition of the patient is determined based on results of the evaluation and stored in the electronic medical record for the patient.

Abstract: Patient treatment may be optimized using Recurrent Neural Network (RNN) based state simulation and Reinforcement learning (RL) techniques to simulate future states and actions. A RNN state simulator and a RL action generator may be trained using patient data such as historical states and actions. The RL action generator may be optimized by applying the RNN state simulator to simulating future states and applying the RL action generator to generate recommended actions based on the simulated future states. This process may be iteratively performed until a computational convergence is reached by the RL action generator which may indicate that the RL action generator has been optimized. A patient state may be fed into the optimized RL action generator to generate an optimal recommended treatment action.

Abstract: A medical classification code modeling system and method that generates visual maps in response to user queries, where the visual maps represent combinations of modifiers of an interface terminology that, taken together, map to medical classification code elements. The system and method may present multiple visual maps on the same display to permit visual analysis of multiple mapping revisions or versions. The system and method further may integrate into an electronic health record such that the user's ultimate selection of a mapping results in the corresponding medical classification code being inserted into the record of a patient at an appropriate location, such as on the patient's problem list.

Abstract: A computer-implemented method may be provided for analyzing and disseminating medical information. The method may include steps performed by one or more processors including, receiving a plurality of patient medical data; aggregating the plurality of patient medical data, wherein access to patient private health information is restricted; receiving a query for medical information; analyzing the aggregated medical data based on the query; producing a result of the query based on the analyzing of the aggregated medical data; and transmitting the result of the query.

Abstract: A system for facilitating interoperability among health care modules includes an interface configured to receive a first electronic record from a first health care module. The first electronic record has a first data structure. The system also includes a processor communicatively coupled to the interface. The processor is configured to analyze the first electronic record having the first data structure, and, based on the analysis, extract a portion of data from the first electronic record. The processor further creates a second electronic record using the portion of data from the first electronic record, where the second electronic record has a second data structure. The second data structure is configured to be compatible with a second health care module. The interface is further configured to transmit the second electronic record for display to the second health care module.

Abstract: Described herein are systems and methods for generating health or risk parameter reference intervals for use in healthcare or any other application of risk/attribute measurement. The reference intervals generated by the systems and methods described herein are based on direct analysis and evidence-based models of human and/or other living organism data from a population of individuals including shared feature(s) and outcome data such as vital status. The direct analysis and evidence-based models of human and/or other living organisms data utilize shared common risk parameter feature(s) and outcome data and identify relationships of two or more health or risk parameters relative to one another. These methods also apply to the measurement of risk and/or other attributes of any living organism or nonliving objects.

Abstract: Systems and methods for communicating orthodontic treatment information are disclosed herein. The methods may include methods of delivering an informational resource corresponding to an orthodontic treatment instruction to a patient of an orthodontist, and optionally to a caretaker of the patient and a dentist of the patient. The methods may further include delivering receipt information to the orthodontist and/or the caretaker, wherein the receipt information is indicative of an interaction between the patient and the informational resource. The systems may include electronic devices and interfaces associated with the orthodontist, the patient, the caretaker, and the dentist that may facilitate the communication methods.

Abstract: A method of processing EEG data. The EEG data for a user is received at a server from one or more EEG input devices. The EEG data from the user is characterized utilizing the server to generate the characterized data. The characterized data is categorized utilizing the server. The characterized data is analyzed to generate analyzed data. The analysis includes at least comparing the analyzed data against control data. A service response is generated utilizing the server to process the analyzed data.

Abstract: The present disclosure relates to a patient centric system and platform that enables a customized analysis of a patient's health conditions for assessing appropriateness of an ordered treatment. In one aspect, patient centric analysis platform includes memory having computer-readable instructions stored therein and one or more processors. The one or more processors configured to execute the computer-readable instructions to receive, from a terminal, patient identifying information of a patient; receive, from the terminal, an initial treatment order for the patient; retrieve patient specific information and treatment specific information; generate a numerical assessment of the initial treatment order based on the patient specific information and the treatment specific information, the numerical assessment indicating a safety level of the initial treatment order; and communicate the numerical assessment to the terminal.