Gregory S. Binns - Wilmette IL, US Mark Stuart Blumberg - Oakland CA, US
Assignee:
TruRisk, LLC - Lake Forest IL
International Classification:
G06Q 40/00 G06Q 50/00 G06F 19/00 A61B 5/00
US Classification:
705 4, 705 2, 705 3, 600300
Abstract:
A computer-implemented process of developing a person-level cost model for forecasting future costs attributable to claims from members of a book of business, where person-level data are available for a substantial portion of the members of the book of business for an actual underwriting period, and the forecast of interest is for a policy period is disclosed. The process uses development universe data comprising person-level enrollment data, historical base period health care claims data and historical next period claim amount data for a statistically meaningful number of individuals. The process also provides at least one claim-based risk factor for each historical base period claim based on the claim code associated with the health care claim and provides at least one enrollment-based risk factor based on the enrollment data. The process also develops a cost forecasting model by capturing the predictive ability of the main effects and interactions of claim based risk factors and enrollment-based risk factors, with the development universe data through the application of an interaction capturing technique to the development universe data.
Computerized Medical Modeling Of Group Life Insurance Using Medical Claims Data
Gregory S. Binns - Lake Forest IL, US Mark Stuart Blumberg - Oakland CA, US
Assignee:
TruRisk, LLC - Lake Forest IL
International Classification:
G06Q 10/00
US Classification:
705 4, 705 2, 705 3, 600300, 600301
Abstract:
A method of model development for use in underwriting group life insurance for a policy period includes collecting medical claims data for the group to be underwritten, where each medical claim being related to a particular employee of the group. Morbidity categories are provided that categorize the medical claims in the medical claims data. A conditional probability model is developed and applied to the morbidity categories for each employee in the group using his medical claims, thereby calculating the expected conditional probability for each employee dying during the policy period. For each employee, an estimate of the expected life claim cost is estimated using an index of the life coverage to salary. Combining the expected conditional probability for each employee dying during the policy period with the estimate of the expected claim cost of death gives an estimate of the group's total life exposure.
Computerized Medical Underwriting Of Group Life Insurance Using Medical Claims Data
Gregory S. Binns - Lake Forest IL, US Mark Stuart Blumberg - Oakland CA, US
Assignee:
TruRisk, LLC - Lake Forest IL
International Classification:
G06Q 10/00
US Classification:
705 4, 705 2, 705 3, 600300, 600301
Abstract:
A method of underwriting group life insurance for a policy period includes collecting medical claims data for the group to be underwritten, where each medical claim being related to a particular employee of the group. Morbidity categories are provided that categorize the medical claims in the medical claims data. A conditional probability model is developed and applied to the morbidity categories for each employee in the group using his medical claims, thereby calculating the expected conditional probability for each employee dying during the policy period. For each employee, an estimate of the expected life claim cost is estimated using an index of the life coverage to salary. Combining the expected conditional probability for each employee dying during the policy period with the estimate of the expected claim cost of death gives an estimate of the group's total life exposure.
Computerized Medical Modeling Of Group Life And Disability Insurance Using Medical Claims Data
Gregory S. Binns - Lake Forest IL, US Mark Stuart Blumberg - Oakland CA, US
Assignee:
TruRisk LLC - Lake Forest IL
International Classification:
G06Q 10/00
US Classification:
705 4, 705 2, 705 3, 600300, 600301
Abstract:
The development and use of a model to estimate disability insurance exposure for a group of individuals to be underwritten for a coverage period is disclosed. The development of the model includes the use of medical claim data having a plurality % of medical claims made by a first model population having at least a respective plurality of first model population members and a disability insurance claim data having a plurality of disability insurance claims made by a second model population having at least a respective plurality of second model population members, which optionally may partially or wholly overlap with the first model population. A clinical medical condition classification system assigns corresponding medical condition causes to the disability insurance claims and the medical claims based on medical condition information. Development then categorizes the disability insurance claims and medical claims classified by medical condition, where each morbidity category comprises one or more medical conditions, to form a plurality of morbidity categories of disability insurance claims. Then, the proportions of the two types of claims are calculated for each morbidity category.
Computerized Medical Modeling Of Group Disability Insurance Using Medical Claims Data
Gregory S. Binns - Lake Forest IL, US Mark Blumberg - Oakland CA, US
Assignee:
Trurisk LLC - Lake Forest IL
International Classification:
G06Q 10/00
US Classification:
705 4, 705 2, 705 3
Abstract:
The development and use of a model to estimate disability insurance exposure for a group of individuals to be underwritten for a coverage period is disclosed. The development of the model includes the use of medical claim data having a plurality of medical claims made by a first model population having at least a respective plurality of first model population members and a disability insurance claim data having a plurality of disability insurance claims made by a second model population having at least a respective plurality of second model population members, which optionally may partially or wholly overlap with the first model population. A clinical medical condition classification system assigns corresponding medical condition causes to the disability insurance claims and the medical claims based on medical condition information. Development then categorizes the disability insurance claims and medical claims classified by medical condition, where each morbidity category comprises one or more medical conditions, to form a plurality of morbidity categories of disability insurance claims. Then, the proportions of the two types of claims are calculated for each morbidity category.
Gregory S. Binns - Lake Forest IL, US Mark Stuart Blumberg - Oakland CA, US
International Classification:
G06Q 40/00
US Classification:
705 4
Abstract:
A computer-implemented process of developing a person-level cost model for forecasting future costs attributable to claims from members of a book of business, where person-level data are available for a substantial portion of the members of the book of business for an actual underwriting period, and the forecast of interest is for a policy period is disclosed. The process uses development universe data comprising person-level enrollment data, historical base period health care claims data and historical next period claim amount data for a statistically meaningful number of individuals. The process also provides at least one claim-based risk factor for each historical base period claim based on the claim code associated with the health care claim and provides at least one enrollment-based risk factor based on the enrollment data. The process also develops a cost forecasting model by capturing the predictive ability of the main effects and interactions of claim based risk factors and enrollment-based risk factors, with the development universe data through the application of an interaction capturing technique to the development universe data.
Computerized Medical Underwriting Of Group Life And Disability Insurance Using Medical Claims Data
Gregory S. Binns - Lake Forest IL, US Mark Stuart Blumberg - Oakland CA, US
Assignee:
TruRisk, L.L.C. - Lake Forest IL
International Classification:
G06Q 10/00
US Classification:
705 4, 705 2, 705 3
Abstract:
A method of underwriting group disability insurance for a policy period includes collecting medical claims data for the group to be underwritten, where each medical claim being related to a particular employee of the group. Morbidity categories are provided that categorize the medical claims in the medical claims data. A conditional probability model is developed and applied to the morbidity categories for each employee in the group using his medical claims, thereby calculating the expected conditional probability for each employee of incurring a disability during the policy period. A further statistical model of the estimated cost of the disability is developed and applied based on the employees' morbidity categories from the medical claims data. For each employee, an estimate of the expected cost of incurring a disability given their morbidity categories is derived from his medical claims data. Combining the expected conditional probability for each employee incurring a disability during the policy period with the estimate of the expected cost of that disability gives an estimate of the group's total disability exposure.
Dr. Blumberg graduated from the Medical College of Georgia School of Medicine in 2000. He works in Springfield, MA and specializes in Dermatology and Dermatopathology. Dr. Blumberg is affiliated with Baystate Medical Center.
Trurisk
V P R and D
Trurisk
Partner
Kaiser Permanente 1970 - 1994
Director of Special Studies
Presidents Office University of California Berkeley Ca 1966 - 1970
Director of Health Planning
Benilde-St. Margarets High School St. Louis Park MN 1974-1978
Community:
Catherine Duffy, Kevin Murphy, Mary Johnson, Diane Petersen, Annie Prosen, Tim Fleming, Paula Mavison, John Weber, Sheila Burns, Corrina Colwell, Patrick Murphy
Memphis, TN Washington, D.C. Nashville, TN Walnut Creek, CA Tucson, AZ
Education:
University of Memphis - Music Composition, Eastman School of Music - Music Arranging workshops, The Catholic University of America - Music Composition
Relationship:
Married
About:
I was never blessed by greatness or afflicted by fame -I am just good at what I do ... most of the time.--I had a wonderful career as a professional musician and was privileged to work with some of th...
Tagline:
A retired fellow entering into a period of relaxed purposefulness.
Mark Blumberg
Mark Blumberg
Mark Blumberg
Flickr
News
Zuckerberg, Chan $45B pledge is not for charity, but a company
While the possibility exists for the Chan-Zuckerbergs to renege on their public promise, it's too soon to know how their venture will play out, says Mark Blumberg, a partner and specialist in in non-profit and charity lawat Blumberg Segal LLP, a Toronto-based law firm.
Date: Dec 03, 2015
Category: Business
Source: Google
Clinton Foundation Failed to Disclose 1100 Foreign Donations
Mark Blumberg, a charity lawyer at Blumberg Segal in Toronto, added that the legislation "does not generally apply to a registered charity unless a charity is conducting commercial activities... such as selling the list to third parties."
Date: Apr 29, 2015
Category: U.S.
Source: Google
James Holmes Denied Admission To University Of Iowa, Records Show Concern By ...
In the days following Holmes' interview, UI neurology Professor Dan Tranel emailed the admissions committee with the message "James Holmes: Do NOT offer admission under any circumstances." Mark Blumberg, another UI professor, said in an email to the committee regarding Holmes, "I agree with Dan. Don
Do NOT offer admission under any circumstances, Daniel Tranel wrote in an e-mail dated Jan. 30, 2011, regarding James Holmes application as a neuroscience graduate student. Psychology professor Mark Blumberg agreed with Tranel in a response.
Psychology professor Mark Blumberg followed up with a separate email two days later to say he agreed with Tranel about Holmes, one of three students Blumberg interviewed. "Don't admit," he wrote about Holmes. He recommended admission for the other two.