Practical help today. A more complete clinical story over time.
Records, coverage & care pathways
An expanding network of knowledge
Useful insights become care tasks
Reviewed outcomes feed back in
See the work
A pulmonologist has prescribed a biologic. The insurer needs more evidence. How should an agent move the case forward, and how do you know it got it right?
Context, expert action, evidence and scoring criteria, in one deliverable.
Starting focus: pulmonology prior authorization. Other specialties and tasks are scoped to what each lab needs.
Read the context
Done
Illustrative case. No patient data is shown.
Work with Klinic
Klinic brings clinical expertise and AI agents to prior authorizations, claims appeals, care navigation and clinical-trial patient identification. Get help completing that work, develop data and evaluations, or contribute your professional expertise.
Workflows
Bring expertise to the tasks that move care forward, from coverage and trial referrals to coordination, records and follow-up.
Data & AI
Explore clinical episodes, documented workflows and expert evaluations shaped around the capability you want to build.
Experts
Bring professional judgment to a funded project, from clinical review and workflow documentation to evaluation of healthcare AI.
Workflows
Bring expertise to the tasks that move care forward. Each one has a responsible owner, follow-up on missing information and a clear result.
01
Assemble the evidence, submit the request and follow up on decisions and appeals, with the treating team directing clinical choices.
02
Help patients reach the next appointment or treatment step, and identify patients who may be candidates for a clinical-trial referral.
03
Request, collect and organize the records a task needs, keeping sources attached to the resulting file.
Useful work for the practice first. Using that work for data or AI is a separate, opt-in decision. Access to records for care or prior authorization doesn’t permit AI training or commercial reuse without its own agreement and privacy review.
Discuss a workflowFrom doing the work to learning from it
Carrying a task through reveals context a finished document can leave out: the evidence, decisions, corrections and outcome. Where separately agreed, that context supports data products and evaluation of what to do next.
An authorization, an appeal, a trial referral or a care handoff, with a responsible owner and follow-through.
Useful work for the practicePreserve the inputs, recorded rationale, actions, corrections and observed outcomes. Mark missing information and later interpretation.
The process & the clinical storyUnder agreed rights and a funded scope, structure the evidence, annotate decisions and document how the workflow was completed.
Permissioned data & expert contributionsUse reviewed examples to test routing, evidence requests and escalation. Keep a proposed action distinct from an action actually completed.
Better tasks, review & follow-throughThe full context of care. Records, findings, decisions, treatment and follow-up, kept together with the sources that support them.
Explore the data & evaluationData & AI
Explore clinical episodes, documented workflows and expert evaluations shaped around the capability you want to build. Start with a bounded specification and clear acceptance criteria.
01
Pharmacists and physicians review model responses, explain errors and define what a good answer needs to include.
Scope an evaluation ›02
De-identified, permissioned case material from real prior-auth and medication-access work, organized around the information, decisions and actions behind it.
Scope a dataset ›03 / Custom scope
Projects where an agent requests information, chooses an action and receives expert feedback across a full workflow.
Scope an agent task ›Why Klinic
The prior-auth and access workflows teams want to evaluate already run through the Klinic network, with the pharmacists and doctors who know them reviewing the work.
Discuss a data projectContribute data
Explore a licensing project on its own terms. A new practice service is not a prerequisite for assessing eligible existing data.
Explore data participationBefore any data moves, we confirm who can authorize it, what it may be used for, and how privacy is protected. The conversation comes before the handoff.
Clear permission.
Agreed use.
Protected privacy.
Experts
Bring your clinical judgment to a defined, funded project: clinical case review, workflow annotation and SOPs, and AI evaluation with reference answers. Remote and paid for the time you put in.
Sample role
Answer medication questions from case context and review AI responses for accuracy, safety and completeness. Typical topics: indications, dosing, interactions, contraindications and prior-auth criteria.
Active US pharmacist license · Prior auth or specialty pharmacy experience a plus
Sample role
Review clinical reasoning in model responses, write and validate realistic cases, and help build the rubrics that score them. Starting with pulmonology, with more specialties to follow.
Board-certified, active US license · Specialty matched to each project
Share your specialty, licensure and the workflows you understand. No patient information.
We match you to a project based on the expertise it needs, with a credential review where applicable.
Review responses, develop tasks or explain the judgment behind a decision, on your own schedule.
Paid for defined work. Each project sets the scope, hours and rate before you start. Joining expresses interest; it doesn’t guarantee a project or paid hours.
Join the expert networkOur approach
Begin with a bounded workflow, records request or data specification. Agree responsibilities, effort and commercial terms before expanding.
01
Choose the job to complete and the evidence that will show it is done.
02
Establish who does what, source authority, handling, funding and permitted uses.
03
Follow up on missing information and keep sources attached to the resulting file or dataset.
04
Assess completion, quality and staff effort. Scope any additional service or data contribution separately.
A few practical questions
For practices, AI teams and experts.
Discuss a projectDefined clinical and operational workflows: prior authorizations, claims appeals, care navigation, clinical-trial patient identification and records retrieval. Where separately agreed, the documented work can also support data and evaluation projects.
A scoped project: for example, a reviewed case collection, expert evaluation of model responses or a custom agent task. Deliverables, usage rights, pricing and acceptance criteria are agreed for each engagement.
Experts are paid for defined professional work. Practices can be compensated for agreed staff contributions and permitted data rights. A practice may contract for its employed clinician’s time; an independent expert may contract directly.
No. Expert work can include writing tasks and reviewing model responses without providing records. Practice data partnerships are scoped separately. Interest forms should contain no patient information.
No. Data participation is optional and runs under its own agreement. Data Klinic handles for care coordination isn’t used for AI unless a practice opts in and the required permissions are in place.
Before any transfer, the project establishes the source’s authority, permitted uses, contractual restrictions and privacy handling, such as de-identification or patient authorization. Access to records for care or prior authorization doesn’t automatically permit AI training or commercial reuse.
No. Opportunities depend on project demand, relevant expertise, credential review where applicable and project fit. Scope and compensation are agreed before paid work begins.
Start with a defined scope
A defined project. A useful result.