Case Studies

Sep 24, 2025

Healthcare Administration - Optimising Patient Care Through Intelligent Automation

A multi-location healthcare consultancy experienced significant administrative inefficiencies as patient volume increased. Staff spent 60% of their time on routine administrative tasks: appointment scheduling, patient follow-ups, insurance verification, and documentation management.

The Operational Challenge

A multi-location healthcare consultancy experienced significant administrative inefficiencies as patient volume increased. Staff spent 60% of their time on routine administrative tasks: appointment scheduling, patient follow-ups, insurance verification, and documentation management.

This administrative burden directly impacted patient care quality. Phone-based scheduling created bottlenecks with extended hold times. Follow-up care was inconsistent due to manual tracking limitations. Routine patient questions received delayed responses as staff prioritised urgent clinical matters.

Patient satisfaction scores reflected these operational challenges. Despite excellent clinical outcomes, satisfaction ratings declined due to administrative friction points that created negative experiences at every touchpoint beyond direct medical care.

The Systematic Solution

Analysis identified that routine administrative interactions followed predictable patterns suitable for intelligent automation. An AI assistant was deployed to handle systematic tasks whilst ensuring complex medical issues received immediate human attention.

The automated system managed appointment scheduling across multiple locations, sent personalised follow-up reminders based on treatment protocols, and provided instant responses to routine patient enquiries. Integration with existing practice management systems ensured seamless information flow without disrupting established clinical workflows.

Intelligent escalation protocols automatically routed complex questions, urgent medical concerns, and appointment conflicts to appropriate clinical staff, maintaining the personal care standards that differentiated the practice.

Clinical and Operational Outcomes

Implementation delivered measurable improvements across multiple metrics:

  • Administrative task efficiency increased by 70% through automation

  • Patient satisfaction scores improved by 40% due to reduced wait times and improved responsiveness

  • Response time for routine enquiries decreased from days to seconds

  • Follow-up care became systematic, improving patient health outcomes through consistent monitoring

The £12,800 investment achieved full cost recovery within 2.8 months through improved operational efficiency and increased patient capacity without additional administrative staff.

Practice Transformation

Automation enabled the practice to handle 50% more patients without expanding administrative teams. Clinical staff could focus entirely on patient care during appointments, knowing that scheduling, follow-ups, and routine communications were managed systematically.

The practice's community reputation improved significantly, with patient referrals increasing by 60% as satisfied patients shared their positive experiences. Proactive follow-up care became a competitive differentiator in the healthcare market.

Key Takeaways:

  • Challenge: Administrative tasks consuming 60% of staff time, reducing patient care focus

  • Solution: AI assistant managing routine tasks with intelligent escalation to clinical staff

  • Investment: £12,800 with 2.8-month cost recovery

  • Results: 70% administrative efficiency gain, 40% patient satisfaction improvement

  • Impact: 50% increased patient capacity without additional administrative staffing

Designed and built by Roland Erich

© All rights reserved LOGEVA 2025

Designed and built by Roland Erich

© All rights reserved LOGEVA 2025