The healthcare industry is one of the significant and fastest-growing industries globally, directly affecting the quality of people’s lives in every country. The aging populations and widespread chronic diseases demand the healthcare industry adopt novel and advanced technologies. Such demands have led to many healthcare providers adopting advanced technologies such as RPA and AI. They are using these technologies to predict conditions and provide proper medications. The end-users of the healthcare industry are also increasingly becoming dependent on consuming digitalized healthcare services from healthcare providers.

About The Client

RPATech’s client is one of the leading hospital chains of North India, having an extensive network of 14 hospitals with 29 specialties and backed by the US equity firm. Our client carries out operations across Delhi-NCR, North India, and the western port city of Mumbai.

Key Issues

Our healthcare client faced the critical issue of an enormous pile of pending claims, and the manual process only added the burden of consuming a slew of time with mismatched entries and errors. They needed to reduce TAT to accelerate the claims process. Therefore, they sought an experienced business partner to automate claims processing to clear the pending claims and clear the payments timely.

Our Solution

After assessing the processes, RPATech located the areas of maximum impact that would result in rapid success and implemented a tailored and non-invasive RPA solution. The process of RPA implementation begins with:

  • Configuration of a bot on the UiPath platform.
  • Bot extracting relevant information from Outlook, PDFs, and excel.
  • Keying the data in CSV format.
  • Integrating the data in the database.

Automation Benefits

The successful claims processing automation helped the client to attain:

  1. 50% reduction in turnaround time.
  2. Recovery of Rs. 1 crore pending payment within 12-months.
  3. 100% achievement in accuracy rate.
  4. Gain visibility into the process.
  5. Increase controllability of the process.

Download Case Study