Systems and methods for predicting healthcare related risk events

Inactive Publication Date: 2006-06-15
HEALTH DIALOG SERVICES CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0011] According to one advantage, the invention enables interested parties to predict likely healthcare costs for an upcoming period. According to certain implementations, the invention enables the projection of healthcare costs over a period of at least about 3 months, 6 months, 9 months, 12 months, or greater than about 12 months.
[0012] According to another advantage, the inven

Problems solved by technology

Numerous countries throughout the world are facing an unprecedented rise in healthcare costs affecting both healthcare providers and employers.
One major component of healthcare costs is costs associated with surgery.
Another component of healthc

Method used

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  • Systems and methods for predicting healthcare related risk events
  • Systems and methods for predicting healthcare related risk events
  • Systems and methods for predicting healthcare related risk events

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Embodiment Construction

[0037] As described above in the summary, the invention is generally directed to systems and methods that identify patients who have a predicted susceptibility and / or level of risk (e.g., more risk or less risk or a selected range of risk) to certain event risks and / or are associated with certain levels of financial risk, thereby facilitating the establishment of intervention plans to mitigate the healthcare event risks for patients and financial risks for patients and / or healthcare providers.

[0038] In one embodiment, predictive modeling is employed because it has the potential to reduce healthcare costs and / or spending while assisting patients by helping MCOs, insurers, or other providers identify patients who are most likely to incur future surgical and / or diagnostic events, and target specialized interventions to assist such existing patients, or new enrollees. Predictive modeling may also allow MCOs, insurers, or other providers to identify which patients will likely consume th...

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Abstract

A system for predicting healthcare risk events including the process of accessing patient data associated with one or more patents, accessing geographic and healthcare system data, filtering the patient data, geographic data, and healthcare system data into clean data, and applying a predictive risk model to the clean data to generate patient profile data and to identify a portion of the patients susceptible to one or more risk events.

Description

REFERENCE TO RELATED APPLICATIONS [0001] This application claims the benefit of and priority to: U.S. Provisional Application No. 60 / 628,476, filed on Nov. 16, 2004, entitled “Healthcare Surgical and Diagnostic Event Risk Predictive Modeling Analytic System Incorporating Unwarranted Geographic Treatment Pattern Variation Data”; U.S. Provisional Application No. 60 / 628,504, filed on Nov. 16, 2004, entitled “Healthcare Financial Risk Predictive Modeling Analytic System Incorporating Unwarranted Geographic Treatment Pattern Variation Data”; and U.S. Provisional Application No. 60 / 628,212, filed on Nov. 16, 2004, entitled “Healthcare Risk Predictive Modeling Analytic System Incorporating Unwarranted Geographic Treatment Pattern Variation Data.” This application is co-pending with Docket No. FMSF-P01-002, filed Nov. 16, 2005, and entitled “Systems and Methods for Predicting Healthcare Related Financial Risk.” The entire contents and teachings of the above referenced applications are incor...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06F17/10G06Q40/00G16H50/30G16H50/50
CPCG06F19/328G06F19/3431G06F19/3437G06F19/3443G06F19/345G06Q10/00G06Q40/00G06Q40/08G06Q50/22G16H50/30G16H50/50G16H50/70G16H50/20G06Q10/10
Inventor WENNBERG, DAVID E.
Owner HEALTH DIALOG SERVICES CORP
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