Paperless Productivity
There are three paths toward AI automation of inbound healthcare faxes:
Each has costs and trade-offs which might show up in unexpected places. So how do you identify the straightest path toward more secure, efficient fax handling?
AI fax automation vs. RPA is a question of timing, integration scope, cost models, and internal resources.
If your fax vendor offers AI automation out of the box, then it may be the quickest path if it fits your workflow and integration needs. Building your own fax automation with RPA (or custom code) offers more control, but also puts the entire technical burden on busy and costly in-house resources.
Many EMR vendors also have document automation features in various states of development. Depending on the vendor, this may be an efficient way to solve very specific EMR workflow needs, but may not integrate with other applications.
| Criteria | Buying purpose-built fax AI | Building RPA fax automation in-house | Waiting for native EMR tools |
|---|---|---|---|
| Time frame | Short: POC preparation can begin immediately | Medium to long, depending on resources and complexity | Unpredictable; depends on vendor |
| Cost | Licensing, usage, and implementation costs | Development, licenses, hosting, and usage | Varies by vendor and contract terms |
| Maintenance | Vendor updates; custom workflow upkeep | High: permanent responsibility of internal team or dev partner | Vendor updates; custom workflow upkeep |
| Flexibility | Supported sources and models vary by product | Broad control within platform and API limits | Usually EMR-focused; external integrations vary |
| Security | Shared by vendor and customer | Internal team, plus platform providers | Shared by vendor and customer |
Buying refers to an AI-enabled fax platform or module that can already read, classify, and extract data from incoming faxes. You can reasonably expect confidence scoring, human escalation/intervention, and security out of the box. A POC or pilot still requires setup, workflow configuration, and any necessary integration and validation work.
Fax vendors might make AI features available with a click. Usage charges rise with volume, subject to pricing tiers and contract terms. Internal builds may achieve lower unit costs at scale, but still incur infrastructure, model, and maintenance costs.
You may also need to go through a security review and procurement cycle before AI fax features can be switched on. These features may involve new upstream data processors (like LLM providers) that your organization hasn’t previously approved. This is not necessarily an obstacle, but a nontrivial soft cost.
Building it entails using robotic process automation (RPA) and/or custom code to assemble OCR, AI resources, classification logic, extraction rules, and routing logic for your specific document workflows. The implementation cost might be too high for low- to medium-volume use cases, but the flip side is economy of scale with extremely high volumes.
Control over technology and business logic comes at the cost of slower implementation and a permanent maintenance burden.
Waiting involves holding out for an EMR vendor to build document-understanding capabilities into its core product, rather than investing in the fax platform or custom workflow development. You can reasonably expect direct, specific solutions to workflows within the EMR. This is compelling if you need complex EMR records updates, since many EMRs have extremely complex data models under the hood.
However, the vendor alone controls the features and time frame. It’s not feasible for all teams to wait while internal labor costs and backlogs grow. Additionally, highly tailored solutions in the EMR might require other tools for integrations beyond the EMR.
This is not necessarily an either–or choice. Often, the best workflow is a combination of two things:
The biggest technical challenge is transforming fax images into clean, structured data. Fax vendors use both AI and OCR to maximize data capture accuracy, automate document triage, provide summaries, and so forth. Product maturity varies; both vendor products and internal builds need validation against your document mix.
RPA can take the structured fax as an input then take specific actions like routing faxes, updating EMR fields, or triggering workflows with compatible applications. This is inherently custom and deterministic logic, so RPA (or custom scripting) may prove both quick and cost-effective.
Fax AI and RPA tools may also work alongside native EMR document handling, provided the necessary interfaces and permissions are available.
Buying, building, and waiting are all valid and often viable. But their costs aren’t always obvious before the decision is made.
We’re here to help you walk through today’s best-in-class options, compare them to your own priorities, and arrive at a no-fuss document workflow that delivers ROI soon.
Reach out today to speak with a senior solutions engineer.
AI interprets fax content and extracts data. RPA executes defined steps in applications; the two can work together.
Buy when a product meets your needs with manageable integration work. Build when added control justifies development and ongoing maintenance costs.
Compare confirmed capabilities and delivery dates with the cost of today’s backlog. Check whether the tool also supports work outside the EMR.
No. The vendor handles its product and service responsibilities; your team still manages access, configuration, and data handling.