90 results about "Clinical events" patented technology

A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

A patient information interface system presents an aggregated, graphical view of patient anatomy and history. The system includes a graphical representation of at least a portion of a human anatomy including one or more indicators, aggregated from a plurality of clinical information sources and located at anatomical locations on the representation, that correspond to clinical events that have occurred in connection with a patient. The system also includes an electronic health record timeline of clinical events for the patient. The timeline includes the same one or more indicators that are displayed on the graphical representation corresponding to clinical events that have occurred in connection with a patient. A selection or change of an indicator on one of the graphical representation or the electronic health record timeline triggers a corresponding selection or change of the indicator on the other of the graphical representation or the electronic health record timeline.

The present invention identifies two circulating proteins that have been newly identified as being differentially expressed in atherosclerosis. Circulating levels of these two proteins, particularly as a panel of proteins, can discriminate patients with acute myocardial infarction from those with stable exertional angina and from those with no history of atherosclerotic cardiovascular disease. Such levels can also predict cardiovascular events, determine the effectiveness of therapy, stage disease, and the like. For example, these markers are useful as surrogate biomarkers of clinical events needed for development of vascular specific pharmaceutical agents.

A time to event data analysis method and system. The present invention relates to the analysis of data to identify relationships between the input data and one or more conditions. One method of analysing such data is by the use of neural networks which are non-linear statistical data modelling tools, the structure of which may be changed based on information that is passed through the network during a training phase. A known problem that affects neural networks is the issue of overtraining which arises in overcomplex or overspecified systems when the capacity of the network significantly exceeds the needed parameters. The present invention provides a method of analysing data, such as bioinformatics or pathology data, using a neural network with a constrained architecture and providing a continuous output that can be used in various contexts and systems including prediction of time to an event, such as a specified clinical event.

The present invention identifies circulating proteins that are differentially expressed in atherosclerosis. Circulating levels of these proteins, particularly as a panel of proteins, can discriminate patients with acute myocardial infarction from those with stable exertional angina and from those with no history of atherosclerotic cardiovascular disease. Such levels can also predict cardiovascular events, determine the effectiveness of therapy, stage disease, and the like. For example, these markers are useful as surrogate biomarkers of clinical events needed for development of vascular specific pharmaceutical agents.

The subject invention relates to the detection, diagnosis and risk stratification of clinical events such as acute coronary syndrome, in patients with signs and symptoms of suspected cardiac origin. In one embodiment, a clinical event in a patient is diagnosed by obtaining the patient's ECG, and at least one in vitro diagnostic assay, preferably an assay for a marker of ischemia, and optionally in vitro diagnostic assays for necrotic markers or other cardiac indicators, and combining the foregoing results in an algorithm to provide a diagnosis or a risk stratification of the clinical condition.

A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

A patient claim data processing system responds to and initiates clinical events and attains early accurate claim data during a patient healthcare encounter cycle to support prompt claim data validation and editing both for individual claim elements and for a completed claim to improve claim accuracy prior to claim submission to a payer. The system submits accurate claims to payers and receives remittance advice from payers and applies rules to the advice. A system processes financial data related to provision of healthcare to a patient in response to clinical events. The system includes an interface processor for receiving a message identifying an event and a related change in healthcare data concerning a patient and also includes a source of rules for determining characteristics associated with reimbursement for provision of an individual service to a patient. A rules processor initiates application of a rule derived from the rules source to process financial data concerning provision of the individual service to the patient in response to receiving the message identifying the event. A result processor initiates an action in response to a result derived by the application of the rule to process the financial data. The rules processor also validates the financial data complies with the rule.

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

Systems and methods for clinical event processing with situational awareness to dynamically facilitate a clinician's workflow are provided. An example clinical event processing and situational awareness system includes a clinical event processor including a clinical event processing engine and a routing engine to receive information regarding a clinical event from an event source and to process the information regarding the clinical event to determine a clinical situation based on the clinical event. The system also includes an event handler to enrich the processed information regarding the clinical event by adding a clinical context to the processed information from a data source. The system further includes a dispatcher to notify a user and launch an anticipated application for the user to facilitate a situational aware clinical workflow based on the enriched, processed information regarding the clinical event.

The invention provides a multiparametric method of assessing the reaction of a patient's immune system to a test subject. The invention compares a patient sample reacted with a test sample and a third party sample and combines the assessments of the multiple parameters to correlate the test reaction with a clinical event.

A computer implemented system facilities the submission of clinical events date to a reviewing agency by prompting for date needed to authorize the appropriateness of the event. The system directs an appropriate submission to authorize the event. The system further stores the patient clinical event data and presents the date for review. The system confirms that the clinical event is appropriate by referring to the input data and predetermined validation rules.

Systems and methods provide visual presentation of clinical evidence to a user in association with a patient's anatomy. In certain examples, a patient information interface system to present an aggregated, graphical view of patient anatomy and history includes a data store to include images and patient history information and a processor to implement a user interface to accept user input. The processor provides a plurality of graphical representations of a human anatomy. Each graphical anatomy representation is to provide a view of a body system. Each graphical anatomy representation is to include one or more indicators corresponding to clinical events that have occurred in connection with a patient in the body system and are viewable through the graphical anatomy representation. Each of the one or more indicators is to be located at an anatomical location on the graphical representation affected by the clinical event corresponding to the indicator.

The invention relates to a system for implementing coronary heart disease post-diagnosis management. The system includes a patient terminal, a doctor terminal, and a post-diagnosis management platform; the patient terminal is used for displaying post-diagnosis management patient end software; the doctor terminal is used for displaying post-diagnosis management doctor end software; the post-diagnosis management platform includes a patient information management module, a doctor information management module, and a clinic event management module which is used for receiving a clinic event uploaded by the patient terminal and sending the clinic event to a corresponding doctor user, and receiving illness state processing information sent by the doctor terminal and sending the illness state processing information to a corresponding patient user. The system can achieve coronary heart disease post-diagnosis management, facilitates uploading of coronary heart disease clinic events of a patient, diagnosis of a doctor, follow-up information management, and doctor assistance, and has a wide application range.

A clinical event management and communications system for use in augmenting the electronic health records (EHRs) of a healthcare facility, which uses interfaces to access the same, for enhancing nurse and other healthcare provider decision-making and communications of patient event and other information.

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

A method for adjudicating and reimbursing a care provider for services provided for a clinical event is provided. The method includes the step of receiving a transaction having a number of clinical data elements. The method also includes the steps of accessing a data store including payer information and determining whether the transaction is eligible for reimbursement by at least one payer. The method also includes the steps of accessing a first knowledge base comprising evidence-based standards for providing medically appropriate care and selectively performing analysis of the clinical data elements of the transaction against at least one standard to determine if the care provided is medically appropriate. The method further includes the steps of accessing a second knowledge base containing at least one criterion for assessing quality of care and selectively performing analysis of the clinical data elements of the transaction against the at least one criterion to determine if the care provided is medically appropriate. Also, the method includes determining a level of reimbursement based on the medical appropriateness and quality of the care provided and authorizing reimbursement of the care provider from at least one payer.

A system and method for gathering quality data for a plurality of healthcare providers over an extended computer network is disclosed. The system and method comprise an enhanced services server in electronic data communication with a plurality of Electronic Health Record (EHR) systems via a network connection, the plurality of EHR systems being configured to capture patient data for a plurality of patients at the plurality of healthcare providers' sites during a plurality of encounters with each of the plurality of patients, and the enhanced services server being built on the same architecture as the plurality of EHR systems. Electronic quality of care forms are retrieved from one or more form managers via the network connection and a plurality of fields in each of the electronic quality of care forms are automatically populated using the patient data captured by the plurality of EHR systems. The completed electronic quality of care forms are then automatically transmitted to one or more form receivers via the network connection, the one or more form receivers being one or more organizations that process quality of care data to qualify healthcare providers for at least one of certifications, accreditations, and monetary incentives.

An apparatus, such as a pressure support ventilator or respiratory monitor, provides operations for a patient, such a patient with heart failure, Chronic Obstructive Pulmonary Disease or other respiratory insufficiency. In some embodiments, the apparatus may detect a respiratory condition, such as a decompensation event and/or exacerbation event, from respiratory parameters. A clinical alert message may be transmitted or displayed for a physician based on the results of query presented to the patient in response to an analysis of the one or more respiratory parameters. In some embodiments, the apparatus generates a potential relapse indicator that may provide a prediction of a risk of an oncoming clinical event such as for evaluating whether to release the patient from a hospital.