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.

img Process Mining in Healthcare

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.

Patients wait too long for the next step

Care often moves through many stages, from intake and triage to testing, treatment, and discharge. When one step slows down, patients may wait longer and teams may not know where the delay started.

Teams follow different ways of working

Even when a standard process exists, departments may handle the same task in different ways. Some differences are necessary, but others can create delays, confusion, and extra work.

Important data is spread across systems

Patient records, lab results, schedules, billing details, and operational data often live in separate systems, from EHRs and LIS to billing platforms. Without a connected view of healthcare data, teams may struggle to see what is slowing work down.

Billing and claims take too long to resolve

Revenue cycle work depends on accurate information moving through coding, claims, denials, and reimbursement. Gaps across information systems can lead to slower payments, more rework, and higher administrative costs.

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.

Understand

Monitor each step in the patient journey

mindzie uses healthcare process mining to show the real path patients, tests, claims, and tasks follow across departments and systems.

  • Healthcare BPMN 2.0 process modeling defines the expected path for patient intake, lab work, claims, and discharge workflows.
  • Process discovery maps how patients, tests, claims, and care tasks move across healthcare systems.
  • Case Explorer helps teams review patient journeys, lab delays, denied claims, and discharge steps.
  • Root cause and variant analysis identifies the source of bottlenecks and inefficiencies.

Improve

Find what is slowing care down

mindzie highlights wait times, missed handoffs, resource gaps, and repeated work, helping teams focus on vital areas.

  • Process monitoring tracks wait times, stalled cases, and resource pressure across clinical and administrative workflows.
  • Notifications alert the right teams when follow-up, documentation, or review is needed.
  • Automatic reporting gives leaders recurring updates on care delays, claim issues, and capacity constraints.

Transform

Make better workflows easier to follow

mindzie helps teams compare actual work with approved pathways, update process rules, and support safer automation across care delivery and operations.

  • Process context for AI agents gives automation the workflow details needed to support the next step.
  • Approved process models guide work through the correct path.
  • Business rules define when approval, review, routing, or escalation should happen.
  • Audit trails support review when AI-assisted actions affect important decisions.

The platform

Gain a comprehensive view of clinical and administrative work

Healthcare Process Mining

Find the real path behind care delays

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.

Healthcare Business Process Modeling

Turn clinical standards into living workflows

Design care pathways and operational workflows with healthcare business process modeling, then compare each business process with actual behavior for stronger governance.

Task Mining

Reveal the manual work between systems

Capture desktop activity behind scheduling, documentation, billing, claims, and follow-up work to see where manual steps slow operational processes.

Process Monitoring & AI Predictions

Cut wait-time risk to improve patient care

Monitor patient flow, scheduling, lab work, claims, and discharge steps to identify wait-time risk and stalled cases before they affect service quality.

AI Operational Intelligence

Anticipate demand and risk

Review AI-generated reports and operational insights to understand where patient flow, claims, scheduling, capacity, and revenue cycle issues are affecting performance.

ETL/Data Transformation

Unify the data behind every care pathway

Convert EHR, LIS, billing, scheduling, and administrative records into clean process data while supporting the controls healthcare teams need for HIPAA-sensitive analysis.

AI Agents

Coordinate the next step before work stalls

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.

On-Premises Edition

Run mindzie within your own environment for enterprise security, data control, and compliance needs.

Desktop Edition

Start process mining from your desktop with a flexible option for analysts, consultants, and smaller teams.

Cloud Edition (SaaS)

Use mindzie as a fully managed SaaS platform built for fast deployment, secure access, and enterprise-grade data protection.

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.

Patient flow optimization

Run the latest process mining techniques to analyze admissions, triage, diagnostics, treatment, and discharge to reduce patient waiting times by 30%.

Laboratory optimization

Review test orders, sample movement, processing steps, and turnaround times to reduce duplicate work, improve lab efficiency, and support faster clinical decisions.

Hospital procurement

Connect purchasing, inventory, supplier, and approval workflows to reduce supply shortages, manage costs, and keep critical medical resources available.

Revenue cycle management

Examine registration, coding, billing, claims, denials, and reimbursement workflows to reduce delays and strengthen financial performance across healthcare operations.

Workflow standardization and compliance

Use conformance checking to compare real work against approved pathways, payer rules, and compliance requirements across departments and care settings.

Arrival to discharge

Measure each step from first contact to discharge to understand wait times, resource gaps, and improvement opportunities across the full care episode. .

Typical efficiency gain
0 %+

Within the first optimized process

Potential savings
$ 0 M

Uncovered through process improvement

Process coverage
0 %

Across every case, variant, and exception without sampling

Reduction in length of stay
0 %

Through targeted patient flow improvement

ROI potential
0 x

First-year return with targeted process optimization

Frequently asked questions

What type of data does healthcare process mining use?

Healthcare process mining uses event data from systems that record each step in a patient, lab, claims, or operational workflow. Common data points include case IDs, activity names, timestamps, departments, providers, status changes, and relevant business attributes.

mindzie helps healthcare organizations analyze process data while supporting the controls needed for HIPAA-sensitive environments. If your organization requires a business associate agreement, the mindzie team can review BAA requirements with your legal, security, and procurement teams during evaluation.

The platform also features secure access controls, auditability, encryption, data backups, and enterprise-grade deployment options. mindzie is SOC 2 certified, ISO 27001 compliant, and GDPR compliant, giving healthcare teams stronger governance when analyzing patient flow, claims, and operational workflows.

Yes. mindzie can compare workflows across departments, facilities, care teams, and service lines. Leaders can view the same process from multiple perspectives, including timing, resources, outcomes, compliance, and patient flow.
A dashboard shows metrics. Process mining techniques explain how work moved before those metrics changed. For example, a dashboard may show a long wait time, while process mining can show where the wait began and which step created the delay.
Yes. Process mining can help teams study care pathways, operational variation, and treatment flow. It can support continuous improvement by showing where a workflow slows down, repeats, or moves away from the intended path. Compared with existing techniques such as manual review or sampled observation, mining in healthcare can give teams a broader view of real operational behavior.