Current scheduling systems book appointments without confirming whether they'll be paid. Billing systems only react after care is delivered. Front desk staff manually catch problems, but by then it's too late.
The result: clinics perform work they won't get paid for, by default.
The Default Path
Appointment scheduled → Care delivered → Billing denial → Revenue lost → Staff time wasted
What Dicyd Is
Dicyd is a pre-visit decision layer, infrastructure that evaluates intake information, insurance coverage, visit type, and policy rules before scheduling happens.
It determines whether an appointment is revenue-ready. Only visits that pass this evaluation move forward to scheduling systems. Visits that won't be paid are stopped or routed appropriately.
Dicyd decides early so downstream systems don't have to clean up later.
This isn't software tooling added to existing workflows. It's infrastructure positioned before scheduling, EHR entry, and billing processes begin. It prevents unpayable work from entering your operational pipeline in the first place.
How Dicyd Works
01
Capture intent before scheduling
Web and SMS intake collect visit reason, insurance details, and clinical context before any appointment is booked.
02
Decide revenue readiness
Deterministic rules evaluate payer eligibility, visit type appropriateness, self-pay capability, and outstanding balance risk against clinic policies.
03
Route or block
Revenue-ready visits proceed to scheduling. Exception cases route to staff for manual review. Unpayable work is stopped before consuming resources.
Start with a 90-Day Pilot
Dicyd is infrastructure, not a quick-deploy tool. Clinics pilot it before making long-term commitments to understand how it integrates with existing systems and workflows.
The pilot period surfaces blocked appointments, decision rationale, and quantifies staff work avoided. You see exactly which visits would have consumed resources without generating revenue.
Pilots run for 90 days with full implementation support. Clinics maintain complete operational control and can cancel anytime during or after the pilot period.
High visit volume with complex payer mix and varying procedure coverage requirements
Multi-Location Clinics
Multiple sites requiring consistent revenue protection policies across locations
High Appointment Volume
Clinics scheduling hundreds of appointments weekly where manual review isn't scalable
Overloaded Front Desks
Staff spending excessive time on eligibility verification and payment screening
Dicyd is not designed for hospitals, call centers, or billing vendors. It's purpose-built infrastructure for outpatient clinical operations.
What Dicyd Is Not
Not an EHR
Dicyd doesn't manage clinical records, documentation, or care delivery workflows. It operates before EHR systems engage.
Not an RCM or billing system
Dicyd doesn't process claims, manage accounts receivable, or handle payment posting. It prevents unbillable work from occurring.
Not a call center or chatbot
Dicyd doesn't answer patient questions or provide conversational interfaces. It makes deterministic revenue decisions.
Dicyd operates upstream, enforcing revenue readiness before other systems engage.
Infrastructure positioning explained
Understanding where Dicyd sits in your operational stack clarifies why it's different from existing systems.
Traditional systems assume all scheduled appointments should proceed. Dicyd questions that assumption before resources are committed. It's the first filter, not the last safety net.
Revenue protection architecture
Before Dicyd
All appointment requests proceed to scheduling
Staff manually verify eligibility after booking
Problems discovered during or after visits
Billing denials require retroactive work
Revenue leakage becomes normalized
With Dicyd
Revenue readiness evaluated before scheduling
Deterministic rules applied consistently
Problems prevented before resource commitment
Only payable work enters the pipeline
Revenue protection built into intake
The architectural shift moves revenue protection from reactive cleanup to proactive prevention. Staff time focuses on delivering care to revenue-ready patients rather than chasing payment for already-delivered services.
Stop unpayable work before it starts
Dicyd prevents revenue loss by blocking unpayable appointments before scheduling, EHR documentation, or care delivery occur. The 90-day pilot proves the concept with minimal commitment.
Dicyd documentation and communication avoid hype, buzzwords, and inflated claims. The system does one thing: decide whether appointments are revenue-ready before scheduling.
No Feature Overload
Focused on pre-visit revenue decisions, not attempting to replace existing systems or add unnecessary capabilities.
No AI Marketing Language
Deterministic rule-based decisions, not probabilistic predictions requiring trust in unexplainable models.
No Hard Commitments
Pilot-first adoption allows clinics to validate fit before standardizing across operations.
The value proposition is straightforward: prevent work you won't get paid for. The pilot proves whether that value is real for your clinic's specific payer mix, visit types, and operational constraints.
Understanding within 10 seconds
A visitor landing on the Dicyd homepage should immediately grasp four core concepts without scrolling or reading detailed explanations.
What Dicyd Does
Prevents unpayable appointments before scheduling happens
Where It Sits
Upstream of scheduling, EHR, and billing systems
Why It Exists
Clinics perform work they don't get paid for by default
How to Try It
90-day pilot at $500 per location, cancel anytime
This clarity leads naturally to the intended adoption path: pilot to establish proof of concept, measure actual revenue protection in your environment, then decide on production pricing and standardization.
Pilot → Proof → Production is the only responsible path for infrastructure adoption.