Tensorx, Inc.

Ipx Corporation

Health Value Analytics, Inc.

Tensordro, Inc.

Sno, Inc.

Healthcare Value Analytics, LLC

N Edward White

Mark Lane

G Edward Powell

John M Clerici

Van L Marshall

Stephen C Bedard

Brett M Rader

George Fidone

Michael Anderer

Van Marshall

G Edward Powell, Jr

Justin Fidone

John M Clerci

John C Clerici

A vaccine system implementing a secure vaccine service to provide vaccine accounts for users, includes a display and user interface component providing user access to the vaccine service; a communications component providing third-party access to the vaccine service; a processor; and a non-transitory, computer readable storage medium having encoded thereon, machine instructions for operating the vaccine service. The processor executes the machine instructions to establish a secure vaccine account for the user, receive a vaccine transaction on behalf of the user, the vaccine transaction including a vaccine data package. The vaccine data package includes certified data for one or more vaccines administered to the user, the vaccine transaction provided by a medical facility administering the vaccines. The processor assigns a hash to the received vaccine transaction, and stores the hash and the vaccine data package in a block in a distributed ledger-architected database.

Health safety system, service, and method

A method for improving a physician's workflow by optimizing the physician's access to patient data during a visit of patients to a medical facility includes an electronic medical record (EMR) processor implementing a Health Value Analytics (HVA) component and receiving inputs from EMR/HVA devices. In response, the EMR processor creates value baselines for patient visits, generates a health care value continuum based on a visit of a first patient to the medical facility, and generates a comparison of the health care value continuum to a value baseline, detects a location, on a display screen of the EMR/HVA device, of an EMR record for the first patient; provides the comparison for display in a location adjacent to the displayed EMR record for the first patient; detects replacement of the EMR record with an EMR record for a second patient; and in response to the replacement, discontinues display of the HVA page.

Optimizing data flow and display in an electronic medical record (EMR) system

A computer-implemented method to establish a relative importance of an input parameter pin a plurality of input parameters pin a data set input to a machine learning model, the data set represented by a j row by k column matrix I, an intersection of each row with each column defining an element, the method includes for each of the plurality of parameters pin the input data set, a computer sorts columns kof the matrix I. to produce a re-ordered matrix I; the computer determines a hyper-parameter N* of sub-matrices into which may be sorted the values in a jrow of the re-ordered matrix I; the computer generates a plurality of group sub-matrices G, each of the group sub-matrices comprising a subset of columns and the jth row; the computer inputs the re-ordered matrix Iinto a fully-trained machine learning model to produce machine learning model outputs; and the computer produces normalized mean values of the outputs.

System and methods for network sensitivity analysis

A health safety method executed by a processor includes receiving, by the processor, from a medical facility, a certificate of vaccination for a particular disease for an individual, the vaccination conferring immunity to the individual for the disease; receiving by the processor an access request from a venue for the individual; and responding to the venue access request by providing a health safety certification including the certificate of vaccination for the individual and an effective date range of the certificate of vaccination.

A health status platform includes a receiving component that receives a test result a test of a biological sample collected from a human patient. The test result includes an indication of a presence of an infectious disease in the patient, and an identification and a verification of the patient. The platform includes a certificate component that issues a certificate of origin of the biological sample; and a data merging component that cooperates with a venue access manager that controls access to a venue. The data merging component implements a distributed ledger system that stores encrypted test results of the patient and the identification and verification of the patient, and an end-to-end encryption system that receives an encrypted venue access request from a venue access manager, decrypts the access request, determines if an access request is valid, and if valid, provides an encrypted certificate of origin to the venue access manager.

Health status system, platform, and method

A computer-implemented method analyzes a medical treatment plan for a patient having a medical condition and determines a value of health care of the plan. The method includes a processor executing instructions to enter the patient into an electronic medical records (EMR) system of a medical facility visited by the patient, assign the patient a diagnosis, recording the medical treatment plan, and generate a portal for accessing and displaying the medical treatment plan. The method further includes a health care value analytics (HVA) server accessing and using historical data, generating a value baseline for approved medical treatments of medical conditions addressed by the medical treatment plan, generating one or more HVA data objects that provide a running comparison of the medical treatment plan and the value baseline, and providing the HVA data objects for display through the portal onto an EMR/HVA access device.

System and method for determining and indicating value of healthcare

A method for evaluating a relative contribution of a first group of J data sets in a collection of N data sets, wherein N&#x3e;J, includes first applying the collection of N data sets and second applying the first group of J data sets to a model and generating one or more observations O on the collection of N data sets and the first group of J data sets, including generating a N NSA curve comprising computing, using the model, an observation Oon the collection of N data sets; and generating a N&#x2212;J NSA curve for the first group of J data sets by removing the first group of J data sets from the collection of N data sets, and generating, using the model, an observation Owith the first group of J data sets removed. The method then includes generating a measure Mof contributions of the group of J data sets based on the N NSA curve and the N&#x2212;J NSA curves.

System and methods for data evaluation through network sensitivity analysis

A data evaluation method includes a processor receiving data sets N, each of which has one or more parameters, applying the data sets N to a machine learning model and generating observations on the data sets N; and executing a network sensitivity analysis (NSA) that includes generating a N NSA curve for each of k distinct parameters in the N data sets including computing an observation Owith the data sets, and generating a N&#x2212;j NSA curve for each of the of the k distinct parameters. Generating a N&#x2212;J NSA curve includes removing the jdata set from the N data sets and computing an observation O. Executing the NSA further includes determining a contribution of a jdata set based on the k N NSA curves and the k N&#x2212;j NSA curves; and computing a relative strength Sof each of the N data sets.

A system for analyzing similarities between a first and second corpus or between a set of concepts and a corpus uses natural language processing and machine intelligence methods to replace terms or phrases in the corpus with concepts, determine the frequency of each concept in the corpus, and convert the corpus into a concept frequency file to enable easy comparison of the two corpuses or easy retrieval of items from the corpus that contain concept. Difference analysis and a combination of content and spectral analysis may be employed.

Growing community of inventors

Austin, TX, United States of America

N Edward White