Process Mining in Healthcare
Seamless patient journeys and healthcare operations
mindzie's process intelligence platform enables the healthcare industry to improve patient flow, revenue cycle performance, clinical workflows, and operational visibility across care delivery.
The challenge
Healthcare process issues can have serious consequences
Inefficient healthcare processes not only affect care teams but can also delay patient care, strain resources, increase costs, and make it harder to maintain positive outcomes. It’s therefore important to be aware of and address the following process issues.
Process mining
Bring process intelligence to patient care
mindzie connects data from EHR, lab, scheduling, billing, and other healthcare systems to show how patients and work actually move through each process.
mindzie uses healthcare process mining to show the real path patients, tests, claims, and tasks follow across departments and systems.
mindzie highlights wait times, missed handoffs, resource gaps, and repeated work, helping teams focus on vital areas.
mindzie helps teams compare actual work with approved pathways, update process rules, and support safer automation across care delivery and operations.
The platform
Gain a comprehensive view of clinical and administrative work
Trace how patient onboarding, lab tests, claims, resource allocation, and treatment processes work to pinpoint where delays begin, where steps repeat, and where work drifts from the expected path.
Design care pathways and operational workflows with healthcare business process modeling, then compare each business process with actual behavior for stronger governance.
Capture desktop activity behind scheduling, documentation, billing, claims, and follow-up work to see where manual steps slow operational processes.
Monitor patient flow, scheduling, lab work, claims, and discharge steps to identify wait-time risk and stalled cases before they affect service quality.
Review AI-generated reports and operational insights to understand where patient flow, claims, scheduling, capacity, and revenue cycle issues are affecting performance.
Convert EHR, LIS, billing, scheduling, and administrative records into clean process data while supporting the controls healthcare teams need for HIPAA-sensitive analysis.
Deploy AI agents to watch for care delays, missing information, denied claims, resource conflicts, and unresolved exceptions, then guide the right follow-up across teams.
Deployment
Your data, your rules
Get the platform and the same features with every deployment model.
Use cases
Care moves faster when the process is easier to act on
Patient care depends on more than the clinical moment. The use cases below show how process mining in healthcare can uncover the work behind waits, tests, claims, supplies, and discharge.
Within the first optimized process
Uncovered through process improvement
Across every case, variant, and exception without sampling
Through targeted patient flow improvement
First-year return with targeted process optimization