Healthcare Workflow Experts (Clinical, Revenue Cycle, and Payer Systems)

Mercor is hiring Healthcare Workflow Experts with hands-on experience across clinical systems, revenue cycle tools, and payer platforms to define and evaluate real-world workflows. You’ll break down how healthcare professionals actually use these systems in practice—beyond surface-level features.

This role is ideal for clinicians, operators, and healthcare IT professionals who have deeply used tools across radiology, lab systems, billing, pharmacy, or payer administration, and can articulate detailed, step-by-step workflows.

Healthcare Workflow Experts

What You’ll Do

end-to-end healthcare workflows

how clinical and administrative data flows

deep, structured breakdowns

decision points, compliance constraints, and edge cases

competent operator (clinician, biller, analyst, etc.)

Example Task

Set up a batch review assignment.

Strong responses include

data types (DICOM series, metadata), transformations, and outputs

Weak responses include

Tools / Categories

Requirements

at least one

clinical care, healthcare operations, revenue cycle, or payer systems

detailed, real-world workflows

healthcare processes and data flows

Project Commitment

Mercor is hiring Healthcare Workflow Experts with hands-on experience across clinical systems, revenue cycle tools, and payer platforms to define and evaluate real-world workflows. You’ll break down how healthcare professionals actually use these systems in practice—beyond surface-level features. This role is ideal for clinicians, operators, and healthcare IT professionals who have deeply used tools across radiology, lab systems, billing, pharmacy, or payer administration, and can articulate detailed, step-by-step workflows. Map end-to-end healthcare workflows performed within specific tools (not just features) Describe how clinical and administrative data flows across systems (intake → processing → decision → output) Provide deep, structured breakdowns of workflows (e.g., prior auth, imaging review, lab processing, claims adjudication) Identify decision points, compliance constraints, and edge cases Evaluate what a competent operator (clinician, biller, analyst, etc.) should be able to accomplish in each system Produce clear, detailed writeups within ~20 minutes per category Set up a batch review assignment. I need to distribute documents across a team of reviewers in a controlled way. I go to the Review Batches tab, create a new batch set, and point it at a saved search as the source. I set the batch size (how many documents per reviewer per batch). I define the batch source sort order — I can prioritize by date, by custodian, or by relevance score if I've already run analytics. I assign reviewers to the batch set. I create the batches, which locks each reviewer's assigned documents so no one reviews the same document twice. “What workflows should a radiologist perform using a DICOM viewer like OsiriX or 3D Slicer?” (you will add the 10 most important workflows that someone might want to perform in the app, 5 mins to write each workflow) Strong responses include: Step-by-step workflows (e.g., ingest imaging studies → review series → annotate findings → compare priors → generate report) Specifics on data types (DICOM series, metadata), transformations, and outputs Real-world context (clinical decision-making, turnaround times, collaboration) Weak responses include: RCM Ops workbench RCM / Billing & Claims (e.g Epic Resolute, FinThrive, R1 RCM, Craneware) Pharmacy Systems (e.g ScriptPro, QS/1, Omnicell, Parata, RedSail) Clinical Intelligence Hub Utilization management / medical necessity criteria (e.g. MCG Health, InterQual, AIM Specialty Health) Prior authorization (e.g. CoverMyMeds) Drug information / clinical reference databases (e.g. First Databank, Merative/Micromedex, NCCN Guidelines) Population health / clinical analytics (e.g. IQVIA, Clarivate, Arcadia Analytics, Azara DRVS, Inovalon) Payer Admin Core (e.g Cognizant, TriZetto/Facets, HealthEdge, HealthRules, Payer, Oracle Health, Epic Beaker) Hands-on experience with at least one of the listed systems (multiple is a strong plus) Background in clinical care, healthcare operations, revenue cycle, or payer systems Ability to articulate detailed, real-world workflows (not just product features) Strong understanding of healthcare processes and data flows Clear, structured written communication This is work trial and expected to last ~8 hours in total (across all experts) Based on results of this it may be extended to be a full long-term project commitment We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

• Map end-to-end healthcare workflows performed within specific tools (not just features)
• Describe how clinical and administrative data flows across systems (intake → processing → decision → output)
• Provide deep, structured breakdowns of workflows (e.g., prior auth, imaging review, lab processing, claims adjudication)
• Identify decision points, compliance constraints, and edge cases
• Evaluate what a competent operator (clinician, biller, analyst, etc.) should be able to accomplish in each system
• Produce clear, detailed writeups within ~20 minutes per category
• Set up a batch review assignment. I need to distribute documents across a team of reviewers in a controlled way. I go to the Review Batches tab, create a new batch set, and point it at a saved search as the source. I set the batch size (how many documents per reviewer per batch). I define the batch source sort order — I can prioritize by date, by custodian, or by relevance score if I've already run analytics. I assign reviewers to the batch set. I create the batches, which locks each reviewer's assigned documents so no one reviews the same document twice.
• “What workflows should a radiologist perform using a DICOM viewer like OsiriX or 3D Slicer?” (you will add the 10 most important workflows that someone might want to perform in the app, 5 mins to write each workflow)
• Step-by-step workflows (e.g., ingest imaging studies → review series → annotate findings → compare priors → generate report)
• Specifics on data types (DICOM series, metadata), transformations, and outputs
• Real-world context (clinical decision-making, turnaround times, collaboration)
• Generic feature lists (e.g., “view images,” “annotate scans”) without depth or context
• RCM Ops workbench

RCM / Billing & Claims (e.g Epic Resolute, FinThrive, R1 RCM, Craneware)

Pharmacy Systems (e.g ScriptPro, QS/1, Omnicell, Parata, RedSail)

• RCM / Billing & Claims (e.g Epic Resolute, FinThrive, R1 RCM, Craneware)
• Pharmacy Systems (e.g ScriptPro, QS/1, Omnicell, Parata, RedSail)
• Clinical Intelligence Hub

Utilization management / medical necessity criteria (e.g. MCG Health, InterQual, AIM Specialty Health)

Prior authorization (e.g. CoverMyMeds)

Drug information / clinical reference databases (e.g. First Databank, Merative/Micromedex, NCCN Guidelines)

Population health / clinical analytics (e.g. IQVIA, Clarivate, Arcadia Analytics, Azara DRVS, Inovalon)

• Utilization management / medical necessity criteria (e.g. MCG Health, InterQual, AIM Specialty Health)
• Prior authorization (e.g. CoverMyMeds)
• Drug information / clinical reference databases (e.g. First Databank, Merative/Micromedex, NCCN Guidelines)
• Population health / clinical analytics (e.g. IQVIA, Clarivate, Arcadia Analytics, Azara DRVS, Inovalon)
• Payer Admin Core (e.g Cognizant, TriZetto/Facets, HealthEdge, HealthRules, Payer, Oracle Health, Epic Beaker)
• RCM / Billing & Claims (e.g Epic Resolute, FinThrive, R1 RCM, Craneware)
• Pharmacy Systems (e.g ScriptPro, QS/1, Omnicell, Parata, RedSail)
• Utilization management / medical necessity criteria (e.g. MCG Health, InterQual, AIM Specialty Health)
• Prior authorization (e.g. CoverMyMeds)
• Drug information / clinical reference databases (e.g. First Databank, Merative/Micromedex, NCCN Guidelines)
• Population health / clinical analytics (e.g. IQVIA, Clarivate, Arcadia Analytics, Azara DRVS, Inovalon)
• Hands-on experience with at least one of the listed systems (multiple is a strong plus)
• Background in clinical care, healthcare operations, revenue cycle, or payer systems
• Ability to articulate detailed, real-world workflows (not just product features)
• Strong understanding of healthcare processes and data flows
• Clear, structured written communication
• This is work trial and expected to last ~8 hours in total (across all experts)
• Based on results of this it may be extended to be a full long-term project commitment