{"id":28909,"date":"2024-03-29T12:43:14","date_gmt":"2024-03-29T07:13:14","guid":{"rendered":"https:\/\/techvariable.com\/?post_type=demo-case-study&p=28909"},"modified":"2024-05-16T11:25:01","modified_gmt":"2024-05-16T05:55:01","slug":"powerful-insurance-claims-rejection-predictive-model","status":"publish","type":"demo-case-study","link":"https:\/\/techvariable.com\/casestudies\/powerful-insurance-claims-rejection-predictive-model","title":{"rendered":"Powerful Insurance Claims Rejection Predictive Model"},"content":{"rendered":"\t\t
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Healthcare<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Powerful Insurance Claims Rejection Predictive Model<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Months<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Efficiency increase in accuracy of insurance claims rejection prediction<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Palo Alto, California, USA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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A California-based client, the creator of one of the world\u2019s first cross-functional Healthcare revenue intelligence software, approached us to enhance their product with advanced analytics capabilities. The objective was to develop a predictive model for insurance claim rejections that would provide healthcare organizations with a means to forecast client eligibility. This would help circumvent claim denials, mitigate financial burdens, and optimize monetary compensations.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Challenges<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tKnowledge Gap:<\/b> Implementing a predictive analysis for insurance claims required in-depth familiarity with the revenue cycle management of US healthcare.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tTechnical Expertise:<\/b> The project required a sophisticated blend of machine learning and data engineering, which is a complex and rare combination.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tPrecision in Automation:<\/b> The revenue intelligence software required precise and detailed modules for automating the creation, ingestion, devalidation, and monitoring of rules for prediction.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    High Level Design Architecture<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Solutions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tIndustry Expertise: <\/b>Leveraging our extensive experience with healthcare-related projects, we approached the task of enhancing claim acceptance and rejection prediction.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tRule-Defining Module: <\/b>We created a module defining prediction rules based on a thorough analysis of insurance claims data. Alternate suggestions were provided for every predicted claim denial.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tClaims Verification and Workflow Automation:<\/b> We integrated modules that automated the verification of claims and the overall workflow process.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tDevalidator Module:<\/b> A unique devalidator module was developed that eliminated irrelevant rules and allowed new ones to be incorporated in predictive modeling.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      Result<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Our team’s extensive knowledge in machine learning and predictive modeling led to successfully enhancing the client’s existing models. The implemented modules allowed healthcare professionals to predict claim rejections accurately, improving patient engagement, decreasing cash flow cycles, and increasing revenues. In response to the evolving nature of the healthcare sector, our team has remained engaged in regular product updates based on fresh modifications and specifications.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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      Healthcare Powerful Insurance Claims Rejection Predictive Model 03 Engineers 08 Months 60% Efficiency increase in accuracy of insurance claims rejection prediction Technology Python Django, AWS RDS, PostgreSQL, Docker Services Data engineering and Web development Location Palo Alto, California, USA Overview A California-based client, the creator of one of the world\u2019s first cross-functional Healthcare revenue intelligence […]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"h5ap_radio_sources":[],"footnotes":""},"case-study-category":[141],"class_list":["post-28909","demo-case-study","type-demo-case-study","status-publish","format-standard","hentry","case-study-category-services"],"acf":[],"_links":{"self":[{"href":"https:\/\/techvariable.com\/index.php?rest_route=\/wp\/v2\/demo-case-study\/28909","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techvariable.com\/index.php?rest_route=\/wp\/v2\/demo-case-study"}],"about":[{"href":"https:\/\/techvariable.com\/index.php?rest_route=\/wp\/v2\/types\/demo-case-study"}],"author":[{"embeddable":true,"href":"https:\/\/techvariable.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/techvariable.com\/index.php?rest_route=\/wp\/v2\/demo-case-study\/28909\/revisions"}],"wp:attachment":[{"href":"https:\/\/techvariable.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=28909"}],"wp:term":[{"taxonomy":"case-study-category","embeddable":true,"href":"https:\/\/techvariable.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcase-study-category&post=28909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}