171 results about "Health risk assessment" patented technology

Assessing risk associated with a transaction may comprise identifying a potential vendor for supplying a product to an entity in a transaction. A response to one or more of a first plurality of questions for measuring risk to the entity associated with engaging the potential vendor to supply the product in the transaction is determined. Responsive to determining the response to the one or more of the first plurality of questions, a dynamically-triggered question for measuring risk to the entity associated with engaging the potential vendor to supply the product in the transaction is identified. A response to the dynamically-triggered question is determined. A provision for insertion into a contract associated with the transaction is determined according to at least one of the response determined for the one or more of the first plurality of questions and the response determined for the dynamically-triggered question.

In an effort to reduce employer health insurance related costs, at least one benefit under a health benefit plan is conditional on the employee voluntarily participating in a wellness program. The wellness program could include wellness categories such as a tobacco free category, normal blood pressure category, regular exercise category, a non-overweight category, a healthy cholesterol level category, a healthy blood glucose level category, and possibly even a category for participation in a health risk assessment. The invention may be implemented by an employer adopting a health plan with a higher deductible over a previous year, and providing credits against that deductible for employees who satisfy requirements regarding each of a variety of wellness categories. This should enable the employer to realize an immediate savings in the year that the invention is implemented, and future savings in years thereafter from healthier employees having lesser numbers of claims and smaller dollar claims.

A computer-implemented method for generating a risk assessment regarding a software implementation project includes accessing a previously specified importance value and maximum score for each of a multiple of risk factors. The importance value for each risk factor reflects experience of an implementing entity regarding the extent to which the factor may negatively impact a software implementation project if the factor is not adequately addressed, the importance value and maximum score for each factor being multiplied to define a potential weighted score for the factor. An actual score for a particular software implementation project is received for each factor based on an analysis specific to the particular project. An actual weighted score for the particular project is generated for each factor by multiplying the importance value and actual score for the factor, and a relationship between the potential weighted score and actual weighted score for each factor. A risk level for the particular project is assigned to each factor according to the relationship between the potential weighted score and the actual weighted score for the factor. The risk level for each factor represents an assessment regarding the extent to which the factor may negatively impact the particular project if the factor is not adequately addressed. A risk assessment is generated for the particular project including one or more of the assigned risk levels for the particular project for one or more corresponding factors.

The present invention provides a system and method for assisting users in developing a customized health, wellness and prevention plan and making health related decisions. A health assessment-intervention component collects and screens diagnostic and demographic data from clients and assists in forming health-care related decisions, action plans and treatment plans. An analytical component analyzes blood and other test information to derive a hierarchy of health risks. A scheduling component manages tests, screenings, and reminders for the customized plan. A plan manager component assists in accumulating information compiled through the other components, as well as presenting a customized prevention plan, dashboard and other interfaces to users. The invention collects and maintains health-related data from third parties such as physicians, researchers, universities and the like, and provides user accessible personal health records and health decision assistance.

A health data management system is provided. Specifically, the invention includes a system and method for collecting screening, diagnostic, and demographic data from clients, processing and analyzing health data from health risk assessments and screening tests, generating custom reports, maintaining heath data, pre-populating data into user accessible personal health records and aggregate data for scientific research and clinical studies. The invention can be implemented in numerous ways, including as a system, a device, a method, or a computer readable medium.

The invention relates to a health risk assessment and disease early warning information system, and belongs to the technical field of health management. The system comprises an employee health management system and a personal health system; the employee health management system comprises 11 modules such as an employee basic information management module, an employee health data acquisition module,and an employee health questionnaire management module; the personal health system consists of an ordinary user registration sub-module, a personal information management sub-module, a personal health history management sub-module, a daily health monitoring sub-module, a medical sick rest management sub-module, a health questionnaire sub-module, an annual health examination sub-module, a health condition assessment sub-module, a disease risk assessment sub-module, a health promotion management sub-module, and a health consultation forum sub-module. The health risk assessment and disease earlywarning information system forms an integrated network management mode of health management, health risk assessment and health risk intervention control.

Systems and methods are described for an assessment tool built on a holistic well-being improvement model. The model consists of a series of assessments including, but not limited to a well-being improvement assessment, work productivity assessment, and a clinical health risk assessment. A member would complete these assessments through an internet site, on paper, on the phone, and/or on any other medium generally known in the art. After a member participates in the assessment, the assessment is analyzed based on a series of predefined algorithms. A member is then provided with system tools and access to third party behavior change tools and resources. Concurrently the data is compiled for the benefit of an employer and/or a provider in the form of an aggregate report in order to understand the status of the current population's well being and also providing the ability to predict future outcomes. The system further tracks the progress of a member on their well-being goals and behaviors.

According to a preferred aspect of the instant invention, there is provided herein a system and method for extending zero-offset or stacked wave-equation illumination analysis into the angle-gather domain, where it becomes an appropriate tool for assessing the effects of complex overburden on AVA response. A preferred method for doing this involves first creating an angle gather that has a perfect AVA response (i.e. a constant amplitude as a function of angle). This gather is then preferably used as a reflectivity map that is fed into a demigration process which creates modeled data that by construction carries with it a completely flat reflectivity signature. Remigration of such a data set then results in a gather on which any amplitude variation is more likely to be a measure of illumination effects alone. The resulting AVA signature on the gather can then be used to assess the validity of the AVA response on modeled or actual data, resulting in a useful AVA risk analysis.

The invention is a process to encourage and simplify preventive medical practices. The process includes selecting known effective in-home medical test kits from laboratories and making these kits available to users for order through a website. The fulfillment of the orders from the labs as well as the collection of the results is coordinated. The results are consolidated with appropriate analysis into a report which is made available to the user through the website on a restricted basis, such as password control. The process may optionally include a health risk assessment questionnaire which guides the user in test kit selection. The process can be initiated by an employer in the form of an invitation to an employee to participate, and the website can be customized and co-branded with the employer.

Assessing a risk of a message is disclosed. A sender specified by the message is identified. A measure of authenticity that the sender specified by the message is an actual sender of the message is determined using at least one sender model associated with the sender. The sender model was at least in part automatically generated using one or more previously observed messages. The measure of authenticity is utilized to perform a risk assessment of the message.

A method and apparatus for health risk assessment by means of measuring and evaluating the functional state of the mechanisms of physiological adaptation of human organism comprises recording analog signals of heartbeat intervals, filtering the analog signals of heartbeat intervals, converting the analog signals to digital signals of heartbeat intervals, transmitting the digital signals of heartbeat intervals to a central processing unit, detecting R-peaks from the digital signals of heartbeat intervals, measuring time intervals between two consecutive said R-peaks, calculating heartbeat variability parameters from said heartbeat intervals, calculating degree of tension (DT) of regulatory mechanisms and their functional reserve (FR) based on said heartbeat variability parameters, calculating plurality of functional states based on the DT and FR, and calculating posteriori probabilities based on plurality of functional states, wherein probabilities of health risk is determined based on values of DT, FR, at least one functional state and the posteriori probabilities.

Methods are described herein for small molecule biochemical profiling of an individual subject for diagnosis of a disease or disorder, facilitating diagnosis of a disease or disorder, and/or identifying an increased risk of developing a disease or disorder in the individual subject. Aberrant levels of small molecules present in a sample from an individual subject are identified and diagnostic information relevant to the individual subject is obtained based on the identified aberrant levels. The obtained diagnostic information includes one or more of an identification of at least one biochemical pathway associated with the identified subset of the small molecules having aberrant levels, an identification at least one disease or disorder associated with the identified subset of the small molecules having aberrant levels, and an identification of at least one recommended follow up test associated with the identified subset of the small molecules having aberrant levels.

The invention provides an environmental health risk monitoring and warning system and method based on a spatial Bayesian network. Spatial correlation and spatial aggregation factors are added on the basis of the traditional Bayesian network, optimized machine learning is closely combined with domain knowledge, and therefore, a network model with a more reasonable structure is generated. A spatialcorrelation/aggregation inference link is added on the basis of existing factors, and thus, the ability of Bayesian network environmental health risk monitoring and warning is enhanced. The hand-foot-mouth disease is affected by many environmental factors, which is taken as an example in the invention to explain the principle of the spatial Bayesian network and the advantage of the spatial Bayesian network in environmental health risk assessment and warning. The system and the method of the invention can be applied to the risk monitoring and warning of various diseases or health problems closely related to environmental health.

The invention provides a large missile equipment retirement safety control method based on an improved fuzzy entropy weight method. The safety control method comprises the steps that a multi-layer hierarchical large missile equipment retirement safety risk assessment index system is constructed, a fuzzy statistical method is used for determining a fuzzy assessment matrix, a comprehensive weight iscalculated through a comprehensive entropy weight method and an analytic hierarchy method, and a multiplication-bounded operator is used for comprehensive assessment. Compared with the prior art, safety risk analysis is conducted on large missile equipment retirement disposal in processes, stages and types, the constructed multi-layer hierarchical assessment index system can ensure the integrityof input indexes of the assessment model, information repetition caused by high correlation between the assessment indexes is effectively reduced, and the workload for safety risk assessment and safety control is reduced; the comprehensive weight is calculated through the entropy weight method and the analytic hierarchy method, so that deviation caused by subjective factors is avoided, the scientificity and objectivity of the weight are improved, and comprehensive assessment of all levels of indexes corresponding to the multi-layer assessment index system is achieved.

The invention relates to the technical field of health risk assessment, and specifically relates to an enteric microorganism-based health risk prediction system. The system comprises a specimen information reception function module, a high-throughput sequencing analysis data reception and management module, an enteric microorganism information management module and a report system main interface. According to the system, a brand-new quality management system can be established, and automatic, informationalized, networked and intelligent management of quality control data is taken as the core, so that scientific, standard and efficient management for detection and understanding work of enteric microorganism floras and functions is realized, and the health conditions of human bodies are assessed through enteric microbiome data information.

There is disclosed a method for assessing and managing risk within a process comprising:

• • (i) receiving data relating to a probability (P) of two or more mishaps occurring within said process, and data relating to a severity (S) of two or more mishaps occurring within the process;
  • (ii) defining a range of probability (P) values and severity (S) values as the span from the minimum to maximum values received;
  • (iii) defining a range of risk (R) as the products of the minimum and maximum (P) and (S) values;
  • (iv) obtaining logarithmic values of probability (P), severity (S), and risk (R) and scaling the ranges of the logarithmic values such that (P), (S), and (R) values are represented as percentages (0-100%);
  • (v) determining a percentage of any values of P and S specified at intermediate stations within their respective ranges;
  • (vi) computing a percentage, rank and value of risk (R) for any intermediate combination of probability (P) and severity (S) values specified; and,
  • (vii) comparing the computed risk results against acceptable and unacceptable criteria to determine whether the risk is tolerable, and hence to be managed with suitable control scenarios.

A health and wellness guidance system is provided. The system may include a memory configured to store health-related information about individual members of a population. The system may also include a processor operatively coupled to the memory and configured to assemble at least one tailored health risk assessment questionnaire package tailored for an individual member of the population. The assembly may be performed in response to at least one of the following: an update to the health-related information stored in the memory, and an addition of new health-related information to the memory.

A health assessment, prediction, and management system/method includes a first mechanism that acquires and captures a data set comprising an individual's health status, a local computer server having a first platform for the first mechanism to input the data set, and a central server in communication with the local computer having a second platform for the transmittal of the data set from the local computer server to the central server. A second mechanism accesses the data set in the central server, analyzes the data set, and provides an analytical result. The analytical result may include a health score/grade/index generated by the second mechanism and a health risk assessment provided by the second mechanism. A third platform allows the second mechanism to input the data set and the health score/grade/index. An expert system, with self learning/discovery capability is created based on the data set and the health score/grade/index.

The invention provides a method and system of risk assessment of adjacent underground space at a gas pipeline leakage location. The method includes the steps: based on gas pipeline leakage information, obtaining the flammable gas accumulation probability of the adjacent underground space at the gas pipeline leakage location; based on the environmental information of the adjacent underground spaceat the gas pipeline leakage location, acquiring the ignition probability of the flammable gas accumulation point and the degree of damage after occurrence of an explosion accident; obtaining the explosion probability of the flammable gas accumulation point based on the flammable gas accumulation probability and the ignition probability, and obtaining a risk coefficient of the adjacent undergroundspace at the gas pipeline leakage location according to the explosion probability and the degree of damage; and based on the risk coefficient, performing risk level classification on the adjacent underground space at the gas pipeline leakage location, and performing comprehensive risk assessment on the adjacent underground space at the gas pipeline leakage location, so as to prevent leakage of a large amount of flammable gas to the adjacent underground space to cause a large-scale serial explosion after encountering the ignition source.

A computerized system and method for estimating levels of obesity in an insured population using claims data. The model uses health risk assessment data comprising age, height, and weight information as well as information about health conditions and health behaviors for a member population. Claims data is used to train a two-stage model on the member population. The first stage comprises a support vector machine, a rule-based module, and a generalized linear model that estimates the probability of obesity. The second stage comprises a regression neural network that operates on the output of the first stage and a subset of the input feature vector. Cost and utilizations in these areas, along with overall health measures as well as demographics and social factors, are inputs to a set of pattern recognition engines that perform regression. The output is the estimated body mass index of the member.

The invention relates to a workplace benzene occupational exposure and carcinogenic hazard analysis method. A program of an adopted technical method analyses the risk by steps of a health risk assessment four-section method which is the most popular in the world, namely, risk identification, dose-response assessment, exposure assessment and risk characterization. The method comprises the following steps: numerically simulating an inner exposure dose by using ERDEM software; analyzing a quantitative relation between the exposure dose and the carcinogenic response by using a multi-step model; and analyzing the probability distribution rule by using a crystal ball Monte Carlo analogue method aiming at the uncertainty of the exposure and the risk. The invention firstly and perfectly provides a workplace benzene occupational exposure and carcinogenic hazard analysis technology; and the method can be applied to the work such as health monitoring, occupational exposure and health risk assessment and the like of high-risk occupational groups.