John Wilson - Minneapolis MN, US Martin Evan Hétu - Newport Beach CA, US Hasani Jess - London, GB Peter Olson - Plymouth MN, US
Assignee:
Optumlnsight, Inc. - Eden Prairie MN
International Classification:
G06Q 50/22
US Classification:
705 2
Abstract:
Systems, methods and apparatuses for analyzing healthcare data are disclosed. In some embodiments, a system for analyzing healthcare data may include a data access module configured to access healthcare data. In some embodiments, the system may further include a server in data communication with the data access device. The server may be configured to execute a rule, the rule comprising one or more rule elements, on the healthcare data to create analyzed healthcare data. In some embodiments, executing the rule may include, correlating each rule element with an object model element. In some embodiments, executing the rule further may include, defining the object model elements correlated to the rule elements using one or more localization indexes linked to the accessed healthcare data. In some embodiments, the server is further configured to return the analyzed healthcare data to an output data location.
Determining Causal Models For Controlling Environments
- St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O. Olson - Andover MN, US Tyler W. Olson - Woodbury MN, US Himanshu Nayar - St. Paul MN, US Frederick J. Arsenault - Stillwater MN, US Nicholas A. Johnson - Burnsville MN, US
International Classification:
G05B 13/04 G05B 13/02
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes obtaining data specifying baseline probability distributions for each of a plurality of controllable elements; maintaining a causal model; repeatedly performing the following: selecting control settings for the environment based on the causal model and values for a particular internal parameter of the control system that are sampled from a range of possible values; selecting control settings for the environment based on the baseline probability distributions; monitoring environment responses to the control settings selected based on the causal model and the control settings selected based on the baseline probability distributions; determining, for each of the possible values, a measure of a difference between a current system performance and a baseline system performance; and updating how frequently each of the possible values is sampled.
- St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O. Olson - Andover MN, US Tyler W. Olson - Woodbury MN, US Himanshu Nayar - St. Paul MN, US Frederick J. Arsenault - Stillwater MN, US Nicholas A. Johnson - Burnsville MN, US Susan L. Woulfe - Woodbury MN, US Mark A. Tomai - Hudson WI, US
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting settings for a treatment of a patient. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for providing a treatment to a patient based on a causal model that measures current causal relationships between input settings and effects of treatments on the patient; ii) receiving a measure of an effect of the treatment on the patient; and iii) adjusting, based on the measure of the effect of the treatment on the patient, the causal model.
Method Of Optimizing Control Signals Used In Operating Vehicle
- St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O. Olson - Andover MN, US Tyler W. Olson - Woodbury MN, US Himanshu Nayar - St. Paul MN, US Frederick J. Arsenault - Stillwater MN, US Nicholas A. Johnson - Burnsville MN, US John A. Wheatley - Stillwater MN, US
International Classification:
B60W 40/064 B60W 40/08 B60W 40/105 G05B 13/02
Abstract:
A method of optimizing a plurality of control signals used in operating a vehicle is described. The operation has a plurality of associated measurable parameters. The method includes: for each control signal, selecting a plurality of potential optimum values from a predetermined set; operating the vehicle in at least a first sequence of operation iterations, where for each pair of sequential first and second operation iterations in the first sequence of operation iterations, the potential optimum value of one control signal in the first operation iteration is replaced in the second operation iteration with a next potential optimum value of the control signal, while the potential optimum values of the remaining control signals are maintained; for each operation iteration, measuring each parameter in the plurality of measurable parameters; and generating confidence intervals for the control signals to determine causal relationships between the control signals and the measurable parameters.
Manufacturing A Biologic Pharmaceutical Using Causal Models
- St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O. Olson - Andover MN, US Tyler W. Olson - Woodbury MN, US Himanshu Nayar - St. Paul MN, US Frederick J. Arsenault - Stillwater MN, US Nicholas A. Johnson - Woodbury MN, US Susan L. Woulfe - Woodbury MN, US Mark A. Tomai - Hudson WI, US
International Classification:
G01N 33/15 G05B 13/04 B01J 19/00
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of manufacturing a biologic pharmaceutical. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for manufacturing a batch of a biologic pharmaceutical based on a causal model that measures current causal relationships between input settings and a measure of a quality of batches of the biological pharmaceutical; ii) determining a measure of the quality of a batch of the biological pharmaceutical manufactured using the configuration of input settings; and iii) adjusting, based on the measure of the quality of the batch of the biological pharmaceutical, the causal model.
- St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O. Olson - Andover MN, US Tyler W. Olson - Woodbury MN, US Himanshu Nayar - St. Paul MN, US Frederick J. Arsenault - Stillwater MN, US Nicholas A. Johnson - Woodbury MN, US Susan L. Woulfe - Woodbury MN, US Mark A. Tomai - Hudson WI, US
International Classification:
G16H 10/20 G16H 50/70
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designing a clinical trial. In one aspect, the method comprises repeatedly performing the following: i) selecting, from a population of patients, patients for being treated with the treatment using a configuration of input settings, wherein the configuration is selected based on a causal model that measures current causal relationships between input settings and a measure of success of the clinical trial; ii) determining the measure of success of the clinical trial for which patients were selected using the certain configuration of input settings; and iii) adjusting, based on the measure of success of the clinical trial, the causal model.
Deep Causal Learning For E-Commerce Content Generation And Optimization
- St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O.N. Olson - Andover MN, US Thomas J. Barnidge - Apple Valley MN, US Audrey X. Yang - Oakdale MN, US Frederick J. Arsenault - Stillwater MN, US Tyler W. Olson - Woodbury MN, US Jennifer S. Hilpisch - Cottage Grove MN, US
International Classification:
G06N 3/08 G06Q 10/08
Abstract:
Systems for optimizing business objectives of e-commerce content can include memory and a processor coupled to the memory. The processor can receive one or more assumptions for multivariate comparison of content. The content can be provided to users of an e-commerce system. The processor can repeatedly generate self-organizing experimental units (SOEUs) based on the one or more assumptions. The processor can inject the SOEUs into the online system to generate quantified inferences about the content. The processor can identify, responsive to injecting the SOEUs, at least one confidence interval within the quantified inferences. The processor can iteratively modify the SOEUs based on the at least one confidence interval to identify at least one causal interaction of the e-commerce content within the system. Other methods and apparatuses are described.
Active Battery Management Method For Economic Optimization
- St. Paul MN, US Brian E. Brooks - St. Paul MN, US Gilles J. Benoit - Minneapolis MN, US Peter O. Olson - Andover MN, US Tyler W. Olson - Woodbury MN, US Himanshu Nayar - St. Paul MN, US Frederick J. Arsenault - Stillwater MN, US Nicholas A. Johnson - Burnsville MN, US Vincent J.L. Chevrier - St. Paul MN, US Don Vincent West - St. Paul MN, US Brandon A. Bartling - Woodbury MN, US
Method for active battery management to optimize battery performance. The method includes providing signal injections for charging and discharging of a battery. The signal injections include various charging and discharging profiles, rates, and endpoints. Response signals corresponding with the signal injections are received, and a utility of those signals is measured. Based upon the utility of the response signals, data relating to charging and discharging of the battery is modified to optimize battery performance and to determine when to discharge the battery into a power grid in order to return power to the grid in exchange for an economic benefit such as a payment or rebate from a utility company.
Healtheast Saint John's Hospital 1575 Beam Avenue, Maplewood, MN 55109
Saint Joseph's Hospital 45 West 10Th Street, Saint Paul, MN 55102
Education:
Medical School University Of Minnesota Medical School Graduated: 1984 Medical School Bethesda Hosp/U Minn Graduated: 1985 Medical School Bethesda Hosp/U Minn Graduated: 1987
Spectrum Medical GroupSpectrum Health Medical Group Internal Medicine 1545 68 St SE STE 200, Grand Rapids, MI 49508 6162678100 (phone), 6162677044 (fax)
Education:
Medical School Michigan State University College of Human Medicine Graduated: 1977
Procedures:
Allergen Immunotherapy Electrocardiogram (EKG or ECG) Pulmonary Function Tests Vaccine Administration
Dr. Olson graduated from the Michigan State University College of Human Medicine in 1977. He works in Grand Rapids, MI and specializes in Internal Medicine.
Dr. Olson graduated from the University of Minnesota Medical School at Minneapolis in 1984. He works in Saint Paul, MN and specializes in Family Medicine. Dr. Olson is affiliated with Healtheast St Josephs Hospital and Saint Johns Hospital.