What is
RCM automation?

Revenue cycle management automation uses software and AI to reduce manual work across patient access, authorization, coding, claim preparation, denial prevention, payment posting, and follow-up. The goal is not automation for its own sake. It is a more accurate, measurable revenue cycle with fewer staff touches and clear human control over exceptions and submissions.

What RCM automation covers

Automation can support the full revenue cycle, but each workflow needs its own baseline, controls, and exception path.

Revenue cycle stageAutomation roleRecommended
Patient accessCheck eligibility, coverage, and registration data
Prior authorizationIdentify requirements, prepare support, and track status
Coding and documentationReview documentation, suggest or assign codes, and route exceptions
Claim preparationScrub claim data and surface payer-rule conflicts before submission
Denials and underpaymentsPrioritize work, identify root causes, and draft corrections or appeals
Payments and follow-upPost payments, flag variances, and automate routine status work

HFMA recommends piloting repeatable, predictable, and measurable tasks with clear baselines and success criteria.

Why organizations automate RCM

The business case is strongest where manual effort is high, rules change often, and errors directly affect reimbursement.

01

Create staff capacity

Automation handles repetitive review and status work so experienced staff can focus on exceptions, analysis, and payer strategy.

02

Find risk earlier

Coding, authorization, registration, and payer-rule problems become visible before they create avoidable rework.

03

Measure the workflow

Defined baselines make it possible to test clean claim rate, cost to collect, touches, turnaround time, and net revenue.

04

Avoid another disconnected tool

Integration matters because 43% of HFMA survey respondents named existing-system integration as an adoption barrier.

How Ember fits into the existing stack

Ember is additive to the EHR and keeps staff in control of claims and appeals.

01

Connect to current systems

Current Ember integrations include Nextech, eClinicalWorks, athenahealth, Epic, NextGen, and ModMed.

02

Review every encounter in scope

Ember reviews 100% of encounters included in the workflow and surfaces coding or revenue-integrity exceptions.

03

Keep submission controlled

Ember drafts work for review and does not automatically submit claims or appeals.

04

Implement a focused workflow

Implementation can happen in under a week, depending on integration and workflow scope.

Where the market is investing

63%

use AI and automation in the revenue cycle

48%

apply AI to documentation and coding

73%

expect major impact in prior authorization

67%

expect major impact in denials and underpayments

Source: HFMA-FinThrive survey, 2025, n=101. Figures describe market adoption and expectations, not Ember customer outcomes.

Sources

Authoritative references used for the facts and category evidence on this page.

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Ember vs Nym

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Frequently asked questions

Everything you need to know about how Ember fits into your revenue cycle.

RCM automation is the use of software and AI to reduce repetitive manual work across patient access, authorization, coding, claims, denials, payments, and follow-up while staff manage exceptions, policy decisions, and external submissions.
Common targets include eligibility checks, authorization support, coding review, claim scrubbing, denial-risk detection, payment posting, worklist prioritization, appeal drafting, and status follow-up. The right scope depends on data quality, workflow repeatability, integration, and oversight requirements.
A 2025 HFMA-FinThrive survey found that 63% of 101 responding healthcare organizations used AI and automation in the revenue cycle. Forty-eight percent applied AI to documentation and coding, while adoption and maturity varied by workflow.
Not necessarily. Many automation platforms connect to the EHR, PMS, payer portals, or clearinghouse already in place. Integration quality is a major buying criterion because disconnected tools can add work instead of reducing it.
Measure a defined workflow against its baseline. Useful measures include clean claim rate, cost to collect, manual touches, turnaround time, denial rate, days in accounts receivable, exception rate, accuracy, and net revenue. Separate hard financial gains from estimated time savings.

Start with one measurable workflow

Map the baseline, exception path, and operating controls before expanding automation across the revenue cycle.