Suraksha: Health Insurance Claim Analysis Web Portal

Authors

  • Hariharan Krishnan Iyer UG - Computer Engineering, Vivekanand Education Society’s Institute of Technology affiliated to Mumbai University, Mumbai, Maharashtra, India. Author https://orcid.org/0009-0002-4438-4977
  • Prathamesh Shripad Thakur UG - Computer Engineering, Vivekanand Education Society’s Institute of Technology affiliated to Mumbai University, Mumbai, Maharashtra, India. Author
  • Shreyas Arun Sawant UG - Computer Engineering, Vivekanand Education Society’s Institute of Technology affiliated to Mumbai University, Mumbai, Maharashtra, India. Author
  • Priya R. L Assistant Professor, Computer Engineering, Vivekanand Education Society’s Institute of Technology affiliated to Mumbai University, Mumbai, Maharashtra, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0074

Keywords:

machine learning, claim analysis, stakeholders, Health insurance, Digital transactions

Abstract

The arrival of the digital era has made almost all the sectors of a country paperless. The Internet is used to grow the business and is also used to ease out the various processes which were earlier considered to be tedious. Most of the banks, financial institutions, government etc. have reduced over the window transactions and emphasize on online transactions. This has aided in keeping a thorough record of various transactions and has improved the efficiency tremendously. Most of the insurance companies are offering policies online and the premium can also be paid without the involvement of any third party in between. This saves time and allows both ends a hassle-free experience. Nowadays, most of the health centres or hospitals have started using the same digital techniques in-order to maintain the records of patients and their health insurance policies. The proposed system focuses on the digitization of the health and insurance sector which will reduce the burden on the patients and make it easy for the various other stakeholders to analyze and process them simultaneously. The analysis will be based on the criterions such as age, gender, hospital, status of remittance advice across various hospitals of various countries in different years etc. With the analysis we aim to identify the strata which meet our criterion i.e. whose remittance advice is rejected.

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Published

2024-03-20

How to Cite

Suraksha: Health Insurance Claim Analysis Web Portal. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(03), 514-519. https://doi.org/10.47392/IRJAEH.2024.0074

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