US-Based Leading CCRC Leverages Automation to Enhance Efficiency and Achieve Interoperability in Healthcare Systems

Overview

The client is a leading healthcare provider in US. With customer-centricity at its core, client has been at the forefront of leveraging technology for better patient care. This has bestowed them with numerous accolades time and again.
  • Founded: 1907
  • Employees: 1215
  • Operations: 13+ Facilities

Business Challenge

  • Lack of interoperability in software ecosystem
  • Employee burnout due to mundane manual processes
  • High chances of errors
  • Processes were delayed due to manual hierarchal approvals
With interoperability in the software ecosystem being the major bottleneck across LOBs, highly skilled employees were engaged in time-consuming manual processes.

They were spending substantial time and efforts to extract, validate, verify & transfer data across unintegrated EMR, Referral Portals, Patient Connect, Admission Software, and accounting portals.

Redundant reconciliations and verifications added to burnout of employees and delays in processes.

Engagement Brief

Having identified the tectonic upshift AI was bringing to healthcare systems, the client desired to engage with a partner that could give a holistic perspective & detailed analysis on org-wide AI automation and process re-engineering opportunities before jumpstarting the AI implementation. Succinctly put, the client wanted to chart out an AI automation roadmap and therefore looking for AI (Advisory + Implementation) partner for AI.

NuAIg Solution

With deep AI automation experience and team of AI evangelists and Industry luminaries, NuAIg proposed a 2 phase approach to help the client augment their business goals through AI automation. Rational was to craft a perfectly stitched roadmap for the client that accommodates both client’s niche business nuances and industry best practices
Phase 1

Ecosystem Deep dive, Business Assessment & AI Adoption Roadmap

Phase 2

AI Implementation to improve operational efficiencies

Key Assessment Metrics

45 + organization wide processes studied

40 % Average ROI, 40% in year one and 80% in subsequent years identified

45,000 Hours plus Automation potential identified

The prime focus area of the project was to assess and identify intelligent automation potential across nominated Lines of Businesses (LOBs) including Finance, HR, Clinical, Operations and facets of Revenue Cycle Management. Multiple discovery sessions were set up with the client business process owners to facilitate the assessment.

  • Admission Process Automation
  • Donation Management
  • Accounts Payable Automation
  • Status Notice Process Automation
  • Payment Posting Automation
  • Campus Report Management
  • Discharge Report Automation
  • Incident Reports Management
  • Appointment Scheduling
  • Caregiver Onboarding

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