Lab Results Review

Lab Results Review uses agents to validate inputs, execute steps, escalate exceptions for human review, and record results in systems.

The labs result review workflow automates the analysis of lab results, leveraging AI agents to identify anomalies, ensure data accuracy, and generate actionable insights. This enhances care quality and supports better decision-making by healthcare teams, allowing them to focus on delivering personalized care.

By adopting agentic process automation, this workflow enables faster and more reliable lab result analysis, making it invaluable for industries such as healthcare, diagnostics, and clinical research. It streamlines processes, reduces manual effort, and helps professionals make timely and informed decisions.

Accurate and efficient analysis of lab results is essential for improving care outcomes and supporting clinical decisions. Automating this workflow ensures consistency and actionable insights.

Here are some use cases where this workflow can be applied:

Trigger

Lab Results Review starts when the operations owner receives a qualifying request or record. It proceeds after the data and access needed to cross-check test outcomes with predefined benchmarks or guidelines are available.

How it works

Lab Results Review

Lab Results Review uses agents to validate inputs, execute steps, escalate exceptions for human review, and record results in systems.

Agentic Actions

Cross-check test outcomes with predefined benchmarks or guidelines.

Flag results needing further verification or ready for approval.

Send approved reports to doctors or patients.

Cross-check test outcomes with predefined benchmarks or guidelines.

Flag results needing further verification or ready for approval.

Send approved reports to doctors or patients.

Retail & Commerce

Lab Results Review

Lab Results Review uses agents to validate inputs, execute steps, escalate exceptions for human review, and record results in systems.

Inputs and connected systems

Required inputs include the source request or record, the fields and documents needed to cross-check test outcomes with predefined benchmarks or guidelines, reference data for later validation, and approved access to each destination system.

Human decisions and exceptions

The Operations owner reviews missing information, policy exceptions, low-confidence results, and actions that change the final laboratory operations outcome. Approved cases continue; rejected cases return for correction or manual handling.

Controls and audit considerations

Lab Results Review should use least-privilege access, required-field validation, auditable decision and write logs, and a stop condition when data is missing or confidence is below the approved threshold. The process owner defines retry, escalation, privacy, and rollback rules before release.

Outputs and stopping point

The workflow ends after the final approved action: Send approved reports to doctors or patients. It writes the validated result to the approved system of record, records the outcome, and notifies the responsible owner when follow-up is required.