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Inverbis

Inverbis AI provides a process mining platform for healthcare organizations to visualize and analyze actual operational workflows. It identifies process deviations and bottlenecks, enabling data-driven improvements in efficiency, staffing, and patient care.

Lugo, SpainFounded 2020201K+ followers
Updated 4 months ago

Funding

$436.7K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

TC
Funding rounds are not available yet.

Founders

Product

Problem

Healthcare organizations often face operational inefficiencies due to a lack of visibility into actual process execution, leading to rework, delays, and unmet patient expectations. This gap between designed and actual processes hinders the ability to consistently meet key performance indicators (KPIs) and profitability targets.

Solution

Inverbis AI Clinics & Hospitals provides a process mining platform that analyzes event logs from various systems to reconstruct and visualize actual business processes. By identifying performance gaps and benchmarking against top performers, the platform pinpoints areas for improvement. This enables healthcare providers to align operational execution with desired outcomes, reduce process deviations, and enhance overall efficiency. The solution facilitates data-driven decision-making to optimize staffing, minimize delays, and improve critical KPIs.

Target Audience

The primary target audience includes healthcare administrators, operations managers, and quality improvement professionals within hospitals and clinics seeking to optimize operational performance.

Features

  • Process mining engine for reconstructing and analyzing event logs from healthcare systems.
  • Performance benchmarking capabilities to identify deviations from optimal process execution.
  • Root cause analysis tools to pinpoint the drivers of process inefficiencies.
  • Visualization of actual process flows, including variations and bottlenecks.
  • AI-driven insights for identifying opportunities in staffing, delay reduction, and KPI improvement.
  • Integration capabilities with existing healthcare IT infrastructure.
  • Benchmarking against industry best practices and internal top performers.
This profile is AI-generated and may contain inaccuracies.