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TestimonialsHealthcare Analytics Solutions That Transform Patient Care and Revenue
Uncover hidden opportunities with real-time data insights that improve efficiency, boost profitability and enhance patient outcomes.
And every number we give you comes with the formula behind it, the system it came from and the window it was measured over — so you can reproduce it without us.
What is Payer Contract Analytics?
Analytics is worth buying when there is enough data for a pattern to be real and nobody whose job it is to find it. That describes most of the organisations we work with, and a few situations besides.
Independent and group practices, roughly 5 to 50 providers
Where there is enough volume for patterns to be real but no analyst on staff to find them. The most common starting point.
Multi-site and multi-specialty groups
Where the interesting question is nearly always comparative — which site, which payer, which specialty — and the practice management system reports cannot answer it.
Practices already working with us on billing
Where the data is already flowing and the analytics layer is the difference between knowing what happened and knowing what to do about it.
Practices whose billing sits elsewhere
We read from your systems rather than replacing your vendor. Several clients use us for analytics precisely because we are not the people being measured.
Behavioural health, and other specialties with unusual payer behaviour
Where standard benchmarks mislead and the payer mix does more to explain performance than anything the practice is doing.
Organisations preparing for a negotiation or a transaction
Where somebody external is about to examine the numbers, and they need to hold up.
Unlock the Power of Data-Driven Healthcare Analytics
We integrate advanced analytics into how your organisation actually runs — driving operational efficiency, increasing revenue potential and improving patient outcomes through smarter, data-backed decisions.
Custom reports and analysis for revenue
Tailored analytics that uncover hidden revenue opportunities and drive measurable financial growth. We work with you to identify revenue drivers, mitigate risk, enhance reimbursement and strengthen revenue cycle performance. What we look at routinely includes:
Code-level analytics
Payer-level analytics
Denials & rejections management
Denials as a % of gross revenue
Payer contract compliance
Point-of-service collections
% appointments with POS collections
Cash received
Net collection rate, rolling 12 months
Code-level analytics
Our analytics dive into billing and coding data to identify trends, patterns and areas for improvement. By analysing codes, modifiers and documentation, we help you strengthen coding accuracy, reduce denials and maximise reimbursement efficiency.
Payer-level analytics
Custom payer-level reports deliver actionable insight into payer performance, letting you evaluate contract terms, identify underpayments and secure better reimbursement rates — a strategic advantage in managing payer relationships.
Denials and rejection management
We uncover rejection trends, pinpoint root causes and implement proactive fixes. Tailored reports and recommendations reduce claim denials, accelerate cash flow and minimise revenue leakage.
Contract compliance
We track compliance against payer contracts and performance benchmarks, giving clear visibility into contract adherence — so reimbursement is optimised and negotiations are backed by evidence.
Why Two Vendors Report Different Numbers on Identical Data
We integrate advanced analytics into how your organisation actually runs — driving operational efficiency, increasing revenue potential and improving patient outcomes through smarter, data-backed decisions.
94.1%
collections ÷
(charges − contractual adj.)
The textbook formula. Contractual adjustments only.
94.1%
collections ÷
(charges − all adj.)
Small-balance write-offs and timely-filing losses moved into the denominator, so abandoned money stops counting against the rate.
99.2%
collections ÷
(charges − all adj.), 6-month lag
Same as B, measured on a period old enough that everything collectable has collected. Nothing is wrong with it — and it is not comparable to either.
Illustrative, to show how far the definition moves the answer. Not drawn from a client book, and not benchmarks.
Five points of spread, and nobody lied. This is why “our net collection rate is 97%” is not information until you know the denominator, the exclusions and the lag — and why a new vendor’s first month so often looks like an improvement: the numbers changed definition at the same time the work changed hands.
The Metrics That Have a Real Industry Definition, and What It Says
HFMA’s MAP Keys are the industry-standard revenue cycle KPIs — 29 of them, each with a fixed calculation. The formulas are published openly. The benchmark medians are not: those sit with MAP App subscribers and the MAP Award programme. So we use the published formulas, name the key, and leave the unsourced target ranges to everybody else.
| Source | MAP Key | What it establishes | What it cannot support |
|---|---|---|---|
| CMS Transparency in Coverage | FM-1 | Net A/R ÷ average daily net patient service revenue | The most quoted number in the industry, and the one where the denominator choice moves the answer most. |
| Aged A/R as a percentage | AR-1 – AR-4 | Aged A/R ÷ total A/R, by aging bucket and payer group | Split by payer group, which is the split that tells you something. A blended figure hides the payer that is actually the problem. |
| Denial rate | AR-5 | Total claims denied ÷ total claims remitted | The denominator is claims remitted, not submitted. Vendors who use submitted get a flatteringly smaller number. |
| Denial write-offs | AR-6 | Net dollars written off as denials ÷ average monthly net patient service revenue | Matters more than denial rate, because it counts the denials nobody ever worked. |
| Clean claim / first-pass | CL-1 | Claims passing edits with no manual intervention ÷ claims accepted into the processing tool | “No manual intervention” is the whole definition. A claim a human fixed before it went out is not a clean claim, however it paid. |
| Late charge capture | CL-2 | Gross charges posted more than 3 days after service ÷ total gross charges | Rarely reported by anyone, and a reliable early indicator that something upstream is breaking. |
| Cash collection | FM-2 | Total patient service cash collected ÷ average monthly net patient service revenue | The number a bank cares about, and the one least often on a billing dashboard. |
| Cost to collect | FM-6 | Total revenue cycle cost ÷ total patient service cash collected | Only meaningful if both sides are defined. Most published figures quietly exclude someone's salary. |
| Point-of-service collection | PA-7 | Point-of-service cash payments ÷ total self-pay cash collected | Already on our list above — and the cheapest money in the cycle to collect. |
| Eligibility verification rate | PA-3 | Verified encounters ÷ registered encounters | Upstream of almost every avoidable denial, and almost never on a monthly report. |
Five points of spread, and nobody lied. This is why “our net collection rate is 97%” is not information until you know the denominator, the exclusions and the lag — and why a new vendor’s first month so often looks like an improvement: the numbers changed definition at the same time the work changed hands.
What That Looks Like on the Dashboard Itself
The layout below is the point rather than the numbers. Every tile shows the metric, the MAP Key it is calculated to, and the formula — on the tile, not in a appendix nobody opens. When a figure is questioned in a board meeting, the answer is on the same screen as the question.
Revenue cycle
Full visibility into your revenue cycle with accountability that optimizes revenue
The same numbers our team runs the work from, in one place for you. Month-over-month trends surface problems early, while there's still time to collect, so every KPI has an owner and a direction.
- CRIS controls score how well your revenue is protected, before a claim goes out
- Denials traced to root cause and fixed where they start
- Bank deposits reconciled to posted payments
- Every kept visit tracked to a clean claim
- Every KPI defined, with a full data dictionary
Credentialing, Enrollment and Licensing
InCredibly: Provider Intelligence & Data Management Platform
End-to-end provider onboarding, from licensing and credentialing through enrollment, with revenue forecasting built in. Neolytix's team of experts works alongside InCredibly®'s AI-powered predictive intelligence and automated workflows, handling every submission, escalation and edge case.
- A predicted billing start date for every provider, with revenue at risk and deferred revenue forecast by step
- Early alerts when a timeline slips, before it reaches cash flow
- Payer and state board intelligence that compounds with every submission
- Audit-ready every day, against NCQA-aligned standards
- Role-based visibility for operations, finance and executive management
Patient access
Transparency into every front-desk task, revenue protected from the first patient interaction
Your front desk is where the revenue cycle starts. See how every part of it performs against target, so problems surface early, patients move through without delays, and errors are fixed before they turn into denials.
- Target vs actual for every front-office task
- Quality checked alongside productivity
- Insurance verified before the visit, where about half of denials start
- One team accountable for every number on the dashboard
Every KPI accountable to revenue protection and optimization
Compliance controls that protect revenue before it’s lost
Fix the cause once, not the denial every month
Know where every dollar is, and that it reached your account
Every kept visit becomes a clean claim
Every provider’s path to billable, and who each delay is waiting on
Know when each provider will be ready to bill
Every enrollment, with every payer, in one view
Every provider, every state, and when each license will issue
Every provider’s credentialing, enrollment and licensing status, in one place
Why the definition sits on the tile: the most expensive moment in reporting is when somebody senior asks “is that right?” and nobody in the room can answer without going away for a week. Putting the formula next to the figure costs nothing and ends that conversation in ten seconds.
The Reporting Baseline
Most reporting disputes are not disagreements about performance. They are disagreements about definition, discovered nine months late, when somebody pulls a different number out of a different system. The baseline exists so that conversation happens in week two instead — when it is cheap, and before anyone has anything to defend.
Every metric gets a written formula
Numerator, denominator, and what is excluded. Where a MAP Key exists we use it and name it, so the definition is not ours to argue with.
The source system for each number is named
Which system is authoritative for charges, for payments, for adjustments. When two systems disagree — and they will — the baseline says which one wins.
The measurement window and the lag are fixed
A month closed at day 5 and a month closed at day 45 are different months. Both are legitimate. Mixing them is not.
You sign it before go-live
A gating deliverable, not a formality. Once signed, the numbers are the numbers — a different report from a different tool does not reopen them, it gets reconciled.
Changing a definition is a visible event
Dated, with the reason, and with the prior series kept. A trend line that silently changes definition halfway along is worse than no trend line.
Every figure reconciles to your own system
You can reproduce it without us. If you cannot, it is not a report — it is an assertion with a chart around it.
What Lands, and When
Reporting is a rhythm rather than a document. The daily layer is where work happens, the monthly layer is where decisions happen, and the quarterly layer is where the year becomes visible.
The working queues
Not a report — the live worklists. Claims held on edits, denials landed, eligibility failures for tomorrow’s schedule. Visible to you, not just to us.
Exception review
What moved that should not have. A payer that changed behaviour, a provider whose charges stopped arriving, a hold queue that is growing.
The performance pack
The KPI set against your own baseline, with trend, variance, and the written explanation of anything that moved — written for someone who was not in the weekly calls.
The standing review
The same lead, the same agenda, your questions first. The pack is sent before the call rather than presented on it, because a meeting spent reading is a meeting wasted.
Payer and specialty view
Where the year is actually going, with the underpayment and contract questions that only appear over a longer window.
The question you actually have
An ad-hoc cut when something looks wrong. The one quietly de-prioritised by vendors at scale, and usually the most valuable.
Deliberately absent: a promised number of days after month end. A turnaround figure with no stated starting point is marketing, and the real answer depends on when your remittance files land and when you close. We agree a date with you and get measured against that one.
Who Reads What, and What Each of Them Is Actually Asking
A single report written for everybody is read closely by nobody. The same underlying numbers, cut for the question the reader has — and in a smaller organisation, where two or three of these are the same person, cut for whichever hat they have on that morning.
The practice manager or billing lead
Worked queues, exceptions and the denial reasons behind them at claim level. Detail is the point — a summary is useless to the person who has to act.
The CFO or finance lead
Cash against expectation, A/R aging by payer, and the variance explanation. Fewer numbers, each reconcilable, each with the reason it moved.
The physician owner
Revenue per encounter, payer mix, and underpayment against contracted rates. Usually the person with the least time and the sharpest single question.
The board or ownership group
Trend rather than snapshot, against the baseline signed at the start. The value is consistency of definition across quarters, not depth.
When a Number Moves, the Order We Ask Things In
A dashboard that shows a metric fell has done a tenth of the job. These five questions, in this order, are what turns a red tile into a decision — and the first one catches more than people expect.
Is it the number or the definition?
First question, always. A metric that moves the week after a system upgrade, a fee-schedule load or a new location is usually a definition event, not a performance event.
Is it volume or is it rate?
Collections down with encounters down is a schedule problem. Collections down with encounters flat is a revenue cycle problem.
Which payer, and since when?
Blended numbers hide single-payer events. Almost every real variance resolves to one or two payers and a datable change in behaviour.
What is the dollar size of it?
Before anyone spends a week on it. A two-point move on a small payer is noise; the same move on your largest is the month.
What is the decision?
A variance analysis that ends in an explanation has not finished. It ends in something someone does, with a name against it and a date to check it.
Learn the Secrets of Your Healthcare Organisation
Neolytix reporting and analytics services let you explore every inch of your organisation.
Turn Vast Amounts of Data Into Valuable Insights
We use Microsoft Power BI to turn complex healthcare data into something you can act on — improving operational efficiency, optimising revenue and supporting real-time, data-driven decision-making. It is a standard tool rather than an in-house viewer, which means your own analyst can open it.
Data integration and consolidation
We integrate data from electronic health records, claims systems and financial databases into a unified view of your organisation’s performance, with accurate, HIPAA-compliant reporting.
Analytics and visualisation
Power BI’s analytics and interactive dashboards turn raw healthcare data into visualisations you can read — identifying trends, spotting anomalies and surfacing opportunities for revenue cycle optimisation.
Real-time monitoring and reporting
Instant visibility into key metrics such as patient volumes, cash flow and operational efficiency, so issues are identified while there is still time to act on them.
Predictive analytics and forecasting
Predictive models analyse historical data to forecast trends, anticipate bottlenecks and support resource allocation and operational planning.
Gain Clear Insights From Complex Healthcare Data
Visualisation that goes beyond traditional charts and graphs, so complex healthcare data becomes something clinical and financial decision-makers can act on rather than something they have to decode.
Interactive dashboards
A dynamic interface for exploring data in real time. Intuitive filters and drill-down let you track KPIs and identify correlations and anomalies yourself rather than waiting for someone to run a report.
Customised visualisations
Healthcare data is not generic, so the views are not either. We design visualisations around your operational and clinical metrics so complex data is communicated clearly.
Data storytelling
Effective visualisation is more than numbers. Visuals, annotations and context together make analytics legible to the people who have to act on them — including the ones who were not in the meeting.
Real-time data monitoring
Monitoring of patient outcomes, operational metrics and revenue cycle performance, so anomalies are spotted and acted on rather than discovered at month end.
Learn the Secrets of Your Healthcare Organisation
A page arguing that numbers need a published basis has an obvious obligation. Anything we claim about our own book carries the same three things we ask of any figure: the formula, the population it was measured across, and the window.
This Section Is Reserved, and Deliberately Empty
Rather than fill it with a range nobody can check, it stays empty until each figure has a signed measurement basis. When it is populated, every number here will state:
- The exact formula used, and the MAP Key where one applies;
- How many client organisations and how many claims it was measured across;
- The period, and the lag at which it was measured;
- Whether it is a median or an average, and the spread around it.
Make Data-Driven Decisions
Neolytix reporting and analytics services help you make sense of big data to support strategic decision-making.
Enhance Workflows With Anywhere-Accessible EHR Data
Our integrations with the common electronic health record systems keep your data synchronised and accessible across platforms — streamlining workflows, improving data accuracy and supporting care coordination. We read from the systems you already run rather than asking you to move onto a platform of ours.
Enhanced care coordination
Integrations deliver a unified view of patient data from multiple sources, giving clinicians real-time access to current records, reducing care gaps and supporting personalised care plans.
Bi-directional data flow
Secure two-way exchange between your EHR and other applications and databases, so analysis and reporting are possible without the EHR falling out of date.
Streamlined workflows
Eliminating manual entry and repetitive transfers reduces administrative burden, frees staff for patient care and minimises the errors that manual handling introduces.
Data consistency and accuracy
Consistent, accurate, HIPAA-compliant patient data across systems, so teams can coordinate care, track outcomes and meet regulatory obligations with confidence.
How This Compares With the Other Ways to Get Analytics and Reporting
Four options, including the two most practices are already using. Categories rather than companies, because the categories are what differ.
| Neolytix | A billing vendor's standard reports | A BI tool you buy and staff | Your PM system's built-in reports | |
|---|---|---|---|---|
| Metric definitions published | Written, signed, named to a MAP Key where one exists | Usually undocumented | Whatever your analyst chose | Vendor defaults, undocumented |
| Reconcilable to your own system | A stated requirement | Sometimes | Yes, it is your build | Yes, it is your system |
| Definition changes are visible | Dated, with the reason, prior series kept | Rarely | Depends on your own discipline | No |
| Someone explains the variance | In writing, monthly, with the decision it implies | A number with no narrative | The tool does not explain anything | The tool does not explain anything |
| Published outcome percentages | None, until each has a measurement basis | Freely, usually unsourced | - | - |
| Who does the work | A named team, same people week to week | Depends on a staffing model that is not published | Your headcount | Your headcount |
Read off the service pages of vendors ranking for healthcare analytics, revenue cycle analytics and BI reporting, September 2026, plus our own scope. Where a column says something is undocumented, that means we could not find it stated on the page — not that it does not exist.
Security-First. At Every Step.
Built for Compliance. Designed for Confidence.
Every service we deliver is built on a foundation of strict data governance and regulatory compliance. HIPAA safeguards and ISO 27001-certified security practices are embedded into how we work, not added after the fact.
Get in Touch With Us
FAQs
Healthcare Analytics: Common Questions
Why will not you publish industry benchmark figures like everyone else?
Because the ones circulating are mostly unsourced. HFMA’s MAP Keys are the industry-standard revenue cycle KPIs, and HFMA publishes the definitions openly — 29 keys across patient access, pre-billing, claims, account resolution and financial management. It does not publish the benchmark medians openly; those sit with MAP App subscribers and the MAP Award programme.
So when a page tells you the industry benchmark for net collection rate is “above 95%”, ask where the figure came from. We would rather give you the formula, name the key, and measure you against your own baseline — which is the comparison that actually tells you whether this month was good.
Two vendors reported completely different net collection rates on the same book. How?
Almost certainly the denominator, and probably not dishonestly. Contractual adjustments only, or all write-offs? Does a timely-filing loss reduce the denominator or count against you? What lag is the period measured at?
Each choice is defensible and each produces a different number on identical data. That is why the reporting baseline is agreed at the start rather than argued about in month nine.
Can we see the dashboards ourselves, or do we have to ask for a report?
Directly, at the same refresh we see. They are built in Power BI rather than an in-house viewer, so your own analyst can open and interrogate them.
Worth testing on any vendor you are evaluating: ask whether you get access or whether you get sent a PDF.
We already get reports from our billing company. What is different here?
Ask three questions of what you get today. Can you reproduce any number in it from your own system? Is the formula for each metric written down anywhere? If a definition changed eighteen months ago, would you know?
If the answers are no, you have a monthly document rather than reporting. The distinction matters the first time a number moves and somebody has to decide whether it is real.
Do we have to move our billing to you to get this?
No. We read from your practice management system, clearinghouse and remittance files rather than replacing whoever runs your billing.
Some clients specifically want analytics from someone who is not the party being measured, which is a reasonable position and one we are happy to occupy.
What happens to our dashboards and definitions if we stop working together?
The definitions are in the baseline, which is yours. The data was always yours and it stays in your systems, which we read from rather than replace.
A fair question to ask every vendor on your list, and to ask before you sign rather than when you are leaving.
How quickly do reports arrive after month end?
We do not publish a day count, because a turnaround figure without a stated starting point is marketing — and the honest answer depends on when your remittance files land and when you close.
We agree a date with you in the baseline, in writing, and get measured against that one.
Which EHRs and practice management systems do you work with?
We integrate with the common electronic health record and practice management systems and work inside what you already run. For anything less common, confirm the specific system with us before you assume it — we would rather tell you no now than discover it in week three.
Related Articles
Send Us Last Month's Report and We Will Tell You What It Does Not Say
Whatever you are getting today — from your billing company, your practice management system, or a spreadsheet somebody maintains. We will tell you which numbers are reproducible from your own data, which metrics have no written definition behind them, and which of the questions above your current pack cannot answer. Twenty minutes, with someone who builds these rather than sells them.
