Published On : July 2026
Demand for credentialing technology spans every organization type responsible for verifying provider qualifications, but each buyer type approaches the decision differently based on provider volume, regulatory exposure, and internal staffing. Understanding these differences is essential context for the broader healthcare credentialing software and services market, where end-user segmentation is one of the primary lenses used to track demand.
The sections below walk through the five major end-user categories, followed by the deployment and procurement decisions each typically faces.
Hospitals and health systems represent the largest and most established buyer category, driven by high provider volume, complex privileging requirements, and direct exposure to Joint Commission accreditation standards. Multi-hospital systems in particular face the added complexity of standardizing credentialing across facilities that may have historically operated independent processes prior to consolidation.
This scale and complexity typically pushes hospital systems toward comprehensive platforms with strong privileging integration, rather than point solutions that handle credentialing alone.
ASCs generally manage smaller, more stable provider rosters than hospitals, but they still carry meaningful compliance obligations tied to accreditation and payer participation. Given their leaner administrative staffing, ASCs are often better suited to simpler, more automated platforms or outsourced verification services than to enterprise-grade systems built for hospital-scale complexity.
Physician groups and clinics vary widely in size, from small independent practices to large multi-specialty groups, and their credentialing needs scale accordingly. Smaller groups frequently lack dedicated medical staff services staff entirely, making outsourced credentialing services a common choice, while larger multi-specialty groups increasingly adopt owned software as provider counts grow.
Telehealth providers face a distinct credentialing challenge: verifying and maintaining licensure across every state in which their providers deliver care, often across dozens of jurisdictions simultaneously. This multi-state complexity makes manual credentialing operationally unworkable at scale, which is why telehealth organizations represent one of the fastest-growing buyer segments for credentialing technology.
Telehealth buyers typically prioritize platforms with strong multi-state license tracking and automation over cost, given how directly licensure gaps threaten their ability to operate across a state.
Managed care organizations and payers approach credentialing from a network-adequacy perspective, focused on verifying providers before adding them to a network and maintaining NCQA-aligned records for accreditation review. Payer credentialing operations tend to run at very high volume, given the size of provider networks health plans maintain, making automation and NCQA-specific data handling especially important criteria.
Once an organization understands its own provider volume and staffing capacity, the next decision is deployment model. Fully in-house credentialing keeps the entire process, software and labor, under direct organizational control, which suits organizations with strong internal medical staff services teams and high provider volume that justifies dedicated staffing.
Hybrid models pair owned software with partial outsourcing, typically for PSV or overflow verification work during high-volume periods such as post-merger integration. Fully outsourced, MSO or BPO-style credentialing hands the entire process to a third party, a model increasingly attractive to organizations facing persistent staffing shortages in credentialing roles.
The right model depends heavily on which underlying cloud-based platforms, on-premise systems, and outsourced PSV services an organization is already using or considering, since deployment model and solution type decisions are typically made together rather than sequentially.
Beyond deployment model, organizations evaluate several business and pricing structures at a high level, including SaaS subscription platforms, per-provider pricing, outsourced service contracts billed per credentialing cycle, and enterprise bundles combining credentialing, privileging, and compliance monitoring. Each structure aligns differently with provider volume growth, which is why organizations anticipating rapid network expansion often favor per-provider or subscription models over fixed enterprise contracts.
A well-structured procurement process generally moves through defined stages: requirements definition, vendor shortlisting, request for proposal, demonstration, pilot deployment, and enterprise rollout. Skipping the pilot stage is one of the more common procurement mistakes in this market, since credentialing workflows often reveal integration gaps with EMR systems only once real provider data is in motion.
Procurement teams researching specific vendors that support their preferred business model can consult our directory of vendors offering MSO/BPO-style outsourced credentialing, which categorizes providers by delivery model and specialization.
Mid-sized hospitals often benefit from a hybrid model, pairing owned credentialing software with outsourced primary source verification during high-volume periods, balancing internal control with flexible capacity.
Telehealth credentialing requires tracking licensure across every state in which providers deliver care, often dozens of jurisdictions at once, making multi-state license automation a higher priority than for single-facility hospital credentialing.
The MSO/BPO model hands the entire credentialing workflow, from application intake through file maintenance, to a third-party managed service or business process outsourcing provider, converting fixed internal staffing cost into a variable service contract.
A credentialing software RFP should cover functional coverage across credentialing, privileging, and enrollment, EMR integration requirements, compliance alignment with Joint Commission, NCQA, and CMS, deployment model preferences, and a required pilot phase before full rollout.