Revenue Cycle Management
Automation
Decrease AR days, denial rate, and cost‑to‑collect with an interoperable RCM module. MindK offers audit‑ready revenue cycle management automation that integrates with your EHR/PM and clearinghouse.
Trusted by
Results you can defend to finance
Reduce denials at the source, accelerate cash flow, lower cost‑to‑collect, and give patients a cleaner financial experience with automated RCM.
Higher clean‑claim rate
Catch issues upstream of 837 creation to raise the clean‑claim rate by 5–15%, depending on payer mix and existing edits.
Fewer A/R days
Streamline prior‑auth and reduce rework to raise first‑pass yield and shorten time to cash.
Lower cost‑to‑collect
Eliminate swivel‑chair tasks and route only valid exceptions to staff to lower the cost per claim.
Decreased write‑offs
Enforce payer contracts and attach medical‑necessity evidence to prevent avoidable losses.
Modular RCM automation
Healthcare revenue cycle automation in 5 steps
Discovery (1–3 weeks)
MindK team maps your current KPIs, systems, payer mix, edits, and queues. We also sit with work queue owners to see the clicks between systems.
What you get: KPI baseline, systems map, risk register to share with compliance.
Preparation (3–6 weeks)
The next step covers workflow decomposition, data integration, security, and compliance. We design rules-based automation for deterministic payer edits. Meanwhile, machine learning can focus on denials clustering, intake normalization, and evidence assembly.
What you get: integration spec, interface catalog, schema contracts, security plan, BAA‑ready controls, BPMN diagrams, automation backlog.
Pilot (6–10 weeks)
We ship an RCM module with one or two end‑to‑end automations and dashboards. The team runs shadow mode on claims to validate scrubbing/edits and uses de-identified or synthetic PHI in non-prod. We compare pre-deployment baseline metrics to the pilot results for maximum transparency.
What you get: A running pilot, SLOs, and measurable results (A/B or pre/post).
Scale‑out and hardening
The team extends the revenue management solution to adjacent steps, specialties, and payers. They add observability, retries, idempotency, and cost controls as well as enforce backward-compatible schemas.
What you get: production runbooks and on‑call playbooks that your team can own.
Continuous improvement
Our team provides ongoing support and quarterly tune‑ups for as long as needed. These may include new rules and features, ML retraining, and guardrail refresh.
What you get: Training assets, SOPs, RACI, a living roadmap, savings roll‑ups, and updated SLOs.
Compliance and security
Data protection
We minimize PHI, encrypt data in transit and at rest, and enforce least‑privilege IAM to keep exposure risk low.
Audit logging
MindK team maintains immutable audit trails and implements e‑signatures for regulated changes, so auditors get evidence without extra work.
PHI de-identification
Our company uses de‑identified or synthetic data in non‑production and review access regularly. This way, non‑prod remains safe by default.
BAAs
MindK operates under Business Associate Agreements and supports 42 CFR Part 2 (where applicable) to ensure the proper handling of your sensitive data.
AI in RCM vs
rules-based automation
Intake & document understanding
Prior authentication
Claim scrubbing
Anomaly detection
Patient financial engagement
Coding QA & audit
Why MindK
Compliance by design
Benefit from PHI minimization, least‑privilege IAM, encryption in transit/at rest, immutable audit trails, and e‑signed changes.
FHIR interoperable
Our team is fluent in X12 (270/271/276/277/278/835/837), EHR/PM APIs, and clearinghouses.
Proof, not promises
Get baselines and SLOs up front. Run a pilot in shadow mode behind feature flags and receive pre/post deltas you can take to finance.
Senior hands‑on, end‑to‑end
MindK uses founder‑level oversight and senior engineers on every engagement with transparent communication.
What
our
clients
say
-
Allison Erickson
Director of Product, The Lactation Network
Incredibly impressed by their ability to deliver such quality work in such efficient timing
«I have nothing but great things to say about our partnership with MindK and the solid work they have done and continue to do for the growth of our company. Professionally, they are amazingly lovely people to work with. Our rapport is strong which is a reflection of their professionalism, hard work, and great outputs.»
-
Al Hariri
Co-Founder, Vitagene
USA Results-oriented and
outcome-driven«I can tell you confidently that they are different from your regular agency that just wants to charge as much money for their work as they can get away with. MindK is completely results-oriented and outcome-driven.»
-
Jason Lutton
CEO, International Surrogacy Center
Impressed with their team's ability to understand our industry
«MindK reduced the time a surrogate takes to complete an online application, increased the number of completed applications, and streamlined our intake process, resulting in fewer staff man hours needed to complete the backend processes for finalizing an applicant.»
Our approach
Book a free 30-minute assessment
We’ll identify 2–3 RCM automations worth piloting and deliver a budgetary plan in 5 business days.
Complimentary services
FAQ
- How is automation different from “adding AI”?
Automation is the goal, AI is one of the tools. MindK uses rules for deterministic payer edits and apply ML/LLMs where the variance justifies it (e.g., denials clustering, document assembly).
- What guardrails do you apply to AI in RCM?
Our RCM automation company uses the following design principles as the guardrails:
- Rules first, ML where it pays. Deterministic edits remain authoritative; LLM outputs require human approval for regulated changes.
- Ground the model (RAG). Retrieve payer policies, contracts, LCD/NCDs, and SOPs to ground responses; no free‑text hallucinations.
- Protect PHI. Use HIPAA‑eligible deployments under BAAs; encrypt in transit/at rest; use de‑identified/synthetic data in non‑prod.
- Human‑in‑the‑loop. Confidence thresholds, exception queues, and e‑signature checkpoints for accountability.
- Observe and control. Log prompts/responses, track accuracy/latency/cost, monitor drift, and keep rollback paths for every AI feature.
Close the loop. Feed denial and appeal outcomes back into upstream rules and features to continuously improve.
- Can you integrate with our EHR/PM and clearinghouse?
Yes. We work with vendor APIs, X12/FHIR interfaces, and secure file exchanges. Write‑back depends on vendor permissions; we scope read‑only vs write early.
- What about HIPAA, SOC 2, and BAAs?
To comply with HIPAA, MindK builds PHI‑safe pipelines, uses least‑privilege IAM, encryption at rest/in transit, immutable logs, and e‑signatures on regulated changes. We provide a controls matrix suitable for BAAs.
- How fast can we see results?
Many teams see the first moved metric within the pilot window (6–10 weeks), often in clean‑claim rate or time‑to‑auth. Results depend on payer mix, data quality, and baseline edits.
- What data do you need to start?
Automation in revenue cycle management requires minimal exports, limited API access, and a sample set of claims/denials/appeals. We supply a secure import checklist.
- How do you measure ROI of RCM automation?
We agree on baselines and SLOs up front, then show pre/post deltas in dashboards. Savings roll‑ups are part of the deliverables.