Opinion
Typical Cost of EMR Implementation: A Complete Guide

Healthcare CIOs have spoken – 38% of them rank EMR integration and optimization as their main capital investment priority over the next three years.
EMR systems represent a major financial commitment for healthcare organizations. The software costs swing dramatically based on practice size and requirements..
We’ll explore everything about EMR system costs here – from original implementation to ongoing maintenance. You’ll learn about common challenges and economic solutions to help you direct this investment successfully. Let’s dive in!
Understanding EMR Implementation Costs
EMR costs are like Russian nesting dolls – you keep finding more expenses tucked inside each layer. A clear picture of your investment needs a deep look at everything that affects your bottom line.
What Makes Up The Total Cost Of EMR?
EMR implementation costs go beyond just buying software.
The budget planning needs to account for four main areas:
- Direct costs – Expenses directly tied to acquiring and setting up the system
- Indirect costs – Additional expenses indirectly related to implementation
- Staff-related costs – Expenditures for training team members
- Unexpected costs – Unforeseen expenses that emerge during implementation
Studies show that buying and installing an electronic health record system can cost between $15,000 USD and $70,000 USD per provider. A typical five-physician practice might spend around $162,000 USD on implementation, plus another $85,500 USD for first-year maintenance.
The pricing model makes a big difference to your bottom line. You’ll find options ranging from subscription-based models to pay-per-visit models. Some vendors offer perpetual licensing with one-time payments from $1,200 USD to over $500,000 USD.
Your hosting choice has a major impact on the overall EMR implementation cost. On-premise deployments usually come with higher upfront expenses, hardware, maintenance, IT staffing, and security upgrades add up quickly.
Cloud-based systems, on the other hand, typically spread costs out through predictable monthly subscriptions, which can make budgeting easier for many organizations.
Lifepoint Informatics helps healthcare teams evaluate these trade-offs early, so they can choose a deployment model that fits both operational needs and long-term cost planning.
Direct Vs Indirect Costs Explained
Direct costs are easy to spot and budget. These cover software licensing fees, customization expenses, and hardware costs. and implementation services.
Hardware needs change based on deployment choice. On-premise systems require servers. Cloud-based solutions cut hardware investments by using the vendor’s infrastructure.
Healthcare organizations often get caught off guard by indirect costs.
These show up as:
- Productivity drops during transition – Teams slow down while learning new systems
- Maintenance and updates – Yearly costs run between $60,000 USD and $100,000 USD
- Staff overtime during implementation – Often missed in original budgets
- Opportunity costs – Clinical time spent on EMR instead of patient care
Why Costs Vary By Practice Size
Practice size creates big cost differences through economies of scale. A solo practitioner pays about three times more per provider than a 50-physician group pays for the same EMR system.
Research backs this up. Solo practices spend around $1,200 USD per user yearly, while larger practices pay just $685 USD per user for similar features.
The math isn’t straight multiplication – a 10-physician practice doesn’t pay ten times a solo practitioner’s cost. Core infrastructure work stays the same, so implementation costs don’t double with twice the providers..
Support and maintenance typically cost 15-20% of licensing fees each year. This means larger practices face bigger total bills but smaller per-provider expenses.
Deployment Models and Their Cost Impact
Picking the right EMR deployment model is like deciding whether to buy or rent a house. Your choice will affect your finances both now and down the road.
Cloud-Based Vs On-Premise Systems
Cloud-based and on-premise EMR systems are different in two main ways: where your data lives and who takes care of it. Cloud-based EMRs run on remote servers you can access through the internet. On-premise systems live on local servers inside your facility.
These models create two very different financial pictures:
Initial Investment:
- Cloud-based EMR: You just need computers with internet access, which means lower upfront costs.
- On-premise EMR: The original investment is much higher. You’ll pay for servers, setup costs, and installation fees.
A study from the University of Michigan School of Dentistry showed that on-premise solutions cost $2 million more than cloud options over two years. Cloud solutions came with no hidden costs. On-premise systems, however, had unexpected expenses that made up 8% of total costs.
The way updates and security work is different, too. Cloud vendors handle all updates, security, and infrastructure management. This means you need fewer IT staff members. With on-premise systems, your practice has to manage everything. This often leads to higher staff costs.
Subscription Vs Perpetual Licensing
The way you pay for your EMR system will affect your budget now and in the future.
Perpetual licensing works like traditional software:
- You pay one big fee up front to use the software forever
- Yearly maintenance agreements take care of patches, upgrades and support
- Costs usually level out after the first year, mainly covering support and infrastructure
- This works best for organizations that have money available and want to own their software
Subscription models (usually part of cloud-based systems):
- Setup costs are lower because there’s no big initial payment
- You pay monthly or yearly fees based on how many users or providers you have
- The subscription includes updates, maintenance, and security
- Budget planning becomes easier with predictable expenses
People often say subscriptions cost more than buying the software after 3-4 years. In spite of that, this view often misses two things: the need to update software later and the inefficiency of running outdated systems.
Organizations should think about both their current budget limits and long-term financial plans when choosing between these options. Practices with limited cash find subscriptions are a great way to get started, even if the lifetime costs might be higher.
How Deployment Affects Long-Term Cost
The Total Cost of Ownership (TCO) helps practices learn about the complete financial effect of their EMR choices beyond just the price tag.
The University of Michigan study found that over two years, on-premise solutions cost more than cloud-based ones. One-time costs were 40.5% higher and ongoing costs were 20.5% higher.
Long-term costs are different for several reasons:
- Scaling flexibility: Cloud systems let you add users easily without buying new hardware. On-premise scaling usually means buying more hardware.
- Maintenance burden: On-premise systems need constant server maintenance, security updates, and often full-time IT staff. Cloud vendors include these services in your subscription.
- Upgrade paths: Cloud vendors usually include regular updates in your subscription. On-premise systems often make you buy upgrades or new versions, which leads to surprise expenses.
- EMR integration complexity: Connecting with other systems is usually easier with cloud solutions. This can save money as your technology needs grow.
Small and medium practices usually spend less over 5 years with cloud deployments. They save on equipment costs, and maintenance is simpler. Large hospitals that need custom features sometimes find that on-premise solutions cost about the same after they factor in depreciation and internal savings.
These long-term effects show why practices shouldn’t focus only on initial prices when they review their EMR options.
Hidden and Overlooked Expenses
EMR implementation costs go far beyond the bottom line. Your budget can balloon due to hidden costs that lurk beneath the surface. Healthcare organizations often face budget overruns and financial strain because they miss these overlooked expenses.
Training And Onboarding Costs
Many practices underestimate the investment needed for training. The cost ranges between $1,000 USD and $5,000 USD per provider or staff member. Larger practices might need to spend tens of thousands on complete training programs.
Several factors push these costs higher:
- Development of training materials and programs
- Staff time spent in training sessions
- External consultants’ fees
- Regular refresher training after implementation
A typical five-physician practice’s training expenses can reach $20,000 USD or more. The simple EMR setup needs $5,000-$20,000 USD for complete training. Budget EMR systems often lack detailed training resources. This creates inefficiencies and errors that cost more as time goes on.
Paid EMR systems come with better onboarding. They include hands-on instruction and setup help, but cost more – usually $1,000 USD to $10,000 USD for implementation and training.
Productivity Loss During Transition
The highest hidden cost comes from reduced productivity as staff learn new systems. Data shows EMR implementation cuts practice productivity by about 18 patients per physician per quarter – roughly 108 patients lost quarterly.
Each practice experiences different productivity effects. Some bounce back quickly, while others struggle with efficiency losses long after implementation.
Money loss goes beyond seeing fewer patients. The staff needs time to learn the system and works slower initially. Senior staff members train newcomers, which creates a double productivity drop.
These steps help minimize the impact:
- Schedule fewer appointments during the go-live phase
- Budget for lower clinic productivity early on
- Roll out the system in phases when possible
- See more patients before implementation to balance reduced access during transition
Customization and integration fees
Standard EMR solutions rarely work perfectly without changes. Customization costs range from $2,000 USD to $10,000 USD based on complexity. Complex customizations can reach $5,000 USD to $20,000 USD.
Third-party system integration (EMR Integration) adds more expense. Each connection to labs, pharmacies, or billing systems costs about $1,000 USD to $5,000 USD. Healthcare organizations with complex needs face much higher expenses.
The right amount of EMR customization matters. Too few changes limit usefulness, while too many create problems and raise costs. Starting with needed customizations and adding more later works best for many practices.
Support And Maintenance Charges
Support becomes an ongoing expense after implementation. Annual maintenance and support fees range from $10,000 USD to $30,000 USD. Larger practices might pay $10,000 USD to $100,000 USD annually.
These fees cover:
- Software updates and security patches
- Technical support for troubleshooting
- System optimization and performance monitoring
First-year support costs often rise as staff learns the system. The expenses level out later but remain a regular budget item. These fees usually run about 15-20% of the original implementation cost each year.
Cutting corners on support backfires. Poor support leads to more downtime, slower fixes, and risks to patient care. Vendors offer different support levels – premium tiers reduce downtime, while budget options might leave doctors waiting days for help.
Conclusion
Healthcare organizations of all sizes must commit substantial funds to implement EMR systems. The costs can vary based on practice size, deployment models, and vendor selection..
Software and hardware costs are just the start. Many organizations get caught off guard by hidden expenses like staff training, productivity dips, and data migration. These indirect costs can actually exceed the direct expenses when not predicted properly.
The way you deploy your system will affect your long-term finances. Cloud-based systems need less money upfront but come with higher monthly fees. Large organizations might find on-premise solutions more cost-effective over time, despite the hefty initial investment.
The difference between success and budget nightmares lies in proper planning. A realistic budget should factor in total ownership costs, including maintenance, support, and unexpected issues. Smart organizations keep 20-30% extra funds ready to handle inevitable challenges.
Note that picking an EMR system isn’t just about comparing prices. The right system needs to line up with your practice’s workflow, specialty requirements, and growth plans. A proper EMR integration with your existing tech setup will prevent countless problems later.
Staff resistance and data migration complexities are common hurdles, but good planning helps overcome them. Organizations succeed when they assess vendors carefully, ask direct questions about pricing, and get their teams ready.
EMR implementation might look daunting, but its benefits make the investment worthwhile. This detailed guide gives you the knowledge to budget wisely, dodge common mistakes, and pick the right system that fits your healthcare organization’s needs.
Opinion
Why advocacy-orientated CPD matters for the future of cardiology

By Women As One
At the 2026 Alliance Annual Conference, Women As One presented a poster that asked a powerful question: What if continuing professional development (CPD) did more than teach clinical knowledge— and instead helped shape the future of the workforce itself?
For decades, professional education in medicine has focused primarily on what clinicians know and how they practice. That work remains essential.
But persistent gender gaps across cardiology—from leadership positions to research participation and speaking opportunities—demonstrate that knowledge alone is not enough to ensure equitable advancement.
To truly strengthen the field of cardiology, professional development must also support who clinicians become, the opportunities they access, and the voices that shape the future of cardiovascular medicine.
Our poster, More Than Education: Elevating Equity and Identity Through CPD, explores how a new model of advocacy-orientated CPD can help close these gaps.
Advocacy-orientated CPD expands the traditional model of professional education. In addition to building clinical expertise, it intentionally supports the structural elements that shape career advancement—mentorship, sponsorship, leadership development, visibility, and professional networks.
By integrating these elements into professional education, CPD can become a powerful engine for advancing equity—and ultimately improving patient care.
Why this matters
Gender inequities in medicine are not simply workforce issues. They influence research priorities, clinical trial representation, leadership decision-making, and ultimately the care patients receive.
When women clinicians have equitable opportunities to lead, research, and shape clinical practice, the entire healthcare system benefits.
Yet structural barriers remain. Women physicians often have less access to mentorship, sponsorship networks, and leadership pathways—factors that are critical for career advancement.
This is where advocacy-orientated CPD comes in.
By intentionally designing programs that foster mentorship, build leadership skills, create visibility, and support long-term professional growth, organizations can help ensure that the next generation of cardiovascular leaders reflects the diversity of the patients they serve.
Turning opportunity into impact
Since its founding, Women As One has supported thousands of women cardiologists across more than 100 countries, expanding access to mentorship, research opportunities, and leadership development.
Through programs like CLIMB, RISE, Mentorship Awards, and our global digital community, The Pulse, thousands of women cardiologists have gained mentorship, leadership training, and opportunities that accelerate their careers and expand their influence.
Today, the outcomes of these programs are shaping the field in tangible ways:
- Women As One alumnae are leading clinical trials and advancing cardiovascular research
- Clinicians supported through our programs are building registries, launching new care models, and expanding access to specialized care
- Women cardiologists are gaining greater representation on speaker panels, advisory boards, and leadership pathways
- A global community of more than 3,000 women cardiologists is strengthening collaboration, mentorship, and visibility across the profession
These outcomes demonstrate what becomes possible when professional development goes beyond traditional education to intentionally support leadership, identity, and community.
A call to the cardiovascular community
Advancing equity in cardiology is not the responsibility of one organization—it requires a collective effort across the entire ecosystem of clinicians, educators, institutions, and industry partners.
For women cardiologists, this means engaging in the programs, mentorship networks, and leadership opportunities that help shape the future of the field. Whether through CLIMB, RISE, research initiatives, or participation in The Pulse community, your involvement strengthens a growing movement dedicated to advancing women in cardiology.
For our partners and supporters, this work demonstrates the powerful impact that strategic investment in equity-focused professional development can have on the workforce and the patients we ultimately serve.
Together, we can redefine what professional development looks like in medicine—not just as a pathway for learning, but as a catalyst for leadership, opportunity, and lasting change.
Explore the poster
We invite you to explore the poster below (click here to download it) to learn more about the evidence, framework, and real-world impact behind this work—and to join us in continuing to expand what professional development can achieve for the future of cardiovascular medicine.
Learn more about Women As One at womenasone.org

Opinion
What Maternal Mental Health Month reveals about where postpartum support actually breaks down

By Morgan Rose, chief science officer at Ema, and Lauren Scocozza, vice president of product at Willow
May is Maternal Mental Health Month, and every year it surfaces a familiar set of statistics: 1 in 5 new mothers experiences postpartum depression or anxiety, most go unscreened, and the majority who are screened don’t receive adequate follow-up care.
The conversation is important. But the numbers obscure something that anyone who has worked in this space knows to be true: postpartum mental health distress rarely arrives with a label.
It arrives as exhaustion. As “I’m not sure I’m doing this right.”
As a question about supply, pumping, whether it’s okay to feel this disconnected from something you were supposed to love immediately.
Willow integrated Ema, AI built for women’s health, with the goal of closing the maternal care and data gap.
The pattern mentioned above appears consistently in Ema’s conversational data through the Willow app.
A mother reports mastitis symptoms.
Ema walks her through the clinical presentation, confirms she should keep pumping, and then she questions if she is using her pump correctly. In the same thread, within a few exchanges, she says she’s “feeling too sad.” Then: “I don’t know. I think I’m depressed. I am not enjoying my postpartum.”
She did not come to the app to talk about her mental health.
She came about a breast infection. The mental health disclosure came through the already-opened door.
The Weight Underneath the Technical Question
New motherhood involves an enormous amount of problem-solving at a time when cognitive and emotional reserves are depleted. The pump has to work. The baby has to eat. The body has to recover.
Work comes back. Sleep doesn’t. Feeding their babies requires skill, and the learning curve sits atop it all.
What Ema’s conversation data shows is that the emotional load of navigating these challenges is not separate from mental health. It is mental health.
When a mother writes, “I’m postpartum and overwhelmed and tired,” and then, in the same breath, asks about flange sizing, she is telling us what the postpartum experience actually feels like from the inside.
The technical question and the emotional state are one and the same.
Breastfeeding carries particular weight here.
The desire to breastfeed, the guilt when it doesn’t go as planned, and the identity questions that come with feeding choices are not peripheral to the postpartum mental health conversation.
In our conversations, women navigating supply concerns often reveal deeper anxieties: about whether they are good mothers, whether their bodies are “working,” and whether the difficulty they are experiencing means something about them.
These are the signals worth asking about.
What Screening Looks Like in Practice
Ema is trained on the Edinburgh Postnatal Depression Scale and is equipped to offer the EPDS when a conversation warrants it.
The value is being present for the moment when a woman is ready to name what she’s feeling.
That moment rarely comes as a direct request for mental health support. It comes when someone is already in a conversation about something else, and something shifts.
A woman dealing with mastitis says she feels sad. A woman worried about supply says she doesn’t feel like herself. A woman managing the logistics of going back to work with a wearable pump says she’s not sure she can keep up with it all — and the “it all” isn’t about the pump.
Ema is designed to hear that. She doesn’t stay on the clinical or technical track when the conversation moves. She follows the person.
And when the moment is right, she offers the screening as a natural next step.
In one exchange, a woman was offered the EPDS after disclosing depressive feelings. She declined.
Ema acknowledged that and asked if she wanted to talk about something else. That’s the right response. The offer was made without pressure. The door stays open.
Sometimes what matters most is that someone asked at all.
The Continuity Problem
One of the most persistent structural failures in maternal mental health care is fragmentation.
A woman sees her OB at six weeks postpartum for a brief screening. She may get a call from a nurse. She may be given a referral she never follows up on because she doesn’t have the capacity to navigate a new care relationship while managing a newborn.
The clinical touchpoints are too few, too far apart, and too often siloed from one another.
The postpartum period lasts far longer than the six-week checkup implies. Mental health symptoms can emerge weeks or months after delivery, shift in character over time, and interact with physical challenges in ways that don’t fit neatly into any single provider’s lane.
A lactation concern becomes an anxiety spiral. A supply drop triggers a grief response. A difficult return to work surfaces a postpartum depression that wasn’t fully recognized at six weeks.
Ema sits inside these moments because she’s embedded in the platform women are already using. She doesn’t require a separate appointment, a referral, or the cognitive bandwidth to seek out a new resource.
She’s in the Willow app that mom is already using multiple times a day to manage her pump.
When Ema identifies a woman who may need more support than she can provide, she routes to the right resource — whether that’s a SimpliFed lactation consultant for feeding-related concerns or a clinical professional for mental health follow-up.
The conversation leads to the handoff with someone who can do more.
What the Month of May Means for the Rest of the Year
Maternal Mental Health Month is a useful moment of attention. The awareness campaigns, the social media posts, and the statistics shared in newsletters matter.
But the gap in postpartum mental health care is not really an awareness problem.
Most people in the perinatal space and beyond know the statistics. The problem is access, timing, and continuity.
AI doesn’t close that gap on its own.
What it can do is be present in the spaces where women already are, at the times when they need something, and attentive enough to recognise that a conversation about a pump, a clogged duct, or a supply concern is also a conversation about how someone is doing.
The question behind the question is often the more important one.
For Willow, the conversation data Ema generates is a map of where mothers are struggling, what they reach for when they need help, and when they are ready to say more than they came to say.
That information, used well, shapes better resources, better onboarding, and a more connected experience across the full arc of the postpartum year and beyond.
Building the infrastructure to support maternal mental health is a year-round project.
Willow is doing one part of that, and the conversations happening on the Willow platform every day are evidence that women want support that meets them where they are… in their app, in their moment, without having to ask for it twice.
About the authors
Morgan Rose is Chief Science Officer at Ema, an AI platform for women’s health. Ema partners with healthcare organisations and femtech companies to deliver clinically grounded AI support across the perinatal journey.
Lauren Scocozza is the Vice President of Product at Willow Innovations, Inc. For women by women, Willow is building a maternal care platform to address the interconnected challenges of postpartum.
Opinion
Femtech’s next chapter: Building a truly equal and comprehensive health tech category

By Wolfgang Hackl, MD, CEO OncoGenomX, Allschwil, Switzerland
FemTech is moving from a promising niche to a foundational part of modern healthcare.
Over the next decade and beyond, its real promise will not only be better products, but a more equitable system: one where women’s health is treated as an equal area for innovation, investment, clinical care, and public policy.
That shift matters because women’s health has long been under-researched, underfunded, and too often managed through systems that were not designed with female biology and life stages in mind.
The opportunity now is to change that trajectory.
If stakeholders act deliberately, FemTech can become a category that improves outcomes, expands access, and creates measurable value across the HealthTech ecosystem.
From niche to infrastructure
The most important change ahead is a mindset shift. FemTech should no longer be seen as a narrow consumer segment focused only on logging symptoms.
It should be understood as health infrastructure spanning puberty, fertility, pregnancy, postpartum recovery, menopause, pelvic health, chronic disease, mental health, and long-term preventive care.
This broader framing creates a more durable market and a stronger social case. It also encourages innovation that serves people across the full life course, rather than only at highly visible moments.
In practical terms, this means building tools that are clinically relevant, integrated into care pathways, and designed to work for different populations and health systems.
What needs to change
For FemTech to become a truly equal healthcare category and a genuine societal priority, several layers need to move together.
First, the evidence base must deepen. More sex-disaggregated data, more women-inclusive clinical studies, and more research on conditions that disproportionately affect women are essential.
Without stronger evidence, product development, diagnosis, reimbursement, and clinical adoption all remain constrained.
Second, policy and regulation must mature. Privacy protections need to be strong enough to build trust in highly sensitive health data.
Regulatory pathways should be clear enough to help innovators bring safe, effective products to market without unnecessary delay.
Reimbursement frameworks also need to evolve so that useful digital tools are not limited to those who can pay out of pocket.
Third, healthcare systems must become more open to integration. The best FemTech products should not sit outside the care journey as standalone apps.
They should connect with clinicians, diagnostics, telehealth, and care coordination so that patients experience continuity rather than fragmentation.
Finally, society needs a broader cultural shift. Women’s health should be discussed as a mainstream public health and economic issue, not as a side topic or a private concern.
That means normalizing conversations around menopause, miscarriage, postpartum health, chronic pain, infertility, and long-term preventive care.
The role of each stakeholder
A healthier FemTech future depends on the full value chain.
Founders and product teams need to design for clinical relevance, usability, and trust. The strongest solutions will be those that solve real problems, use data responsibly, and fit into everyday life and care.
Investors can help by backing long-term value creation rather than only consumer growth. FemTech deserves capital that supports rigorous validation, regulatory readiness, and scalable business models.
Healthcare providers and systems play a critical role in adoption. By integrating FemTech into clinical workflows, they can reduce delays in care, improve monitoring, and make support more continuous and personalised.
Payers and insurers can accelerate access by recognising the downstream value of early intervention, prevention, and better self-management. Coverage decisions will strongly shape which innovations become standard practice.
Policymakers and regulators should create environments where safety, innovation, and privacy coexist. Clear standards and supportive reimbursement policy can make the difference between isolated success and category-wide growth.
Employers and public institutions also have a role. Women’s health affects productivity, retention, and long-term wellbeing, which means workplace benefits and public programs can help expand access and reduce inequity.
FemTech is not only “women for women.” It is “everyone to solve a health and social issue that has been ignored for far too long.”
When stakeholders across the value chain recognise women’s health as a shared responsibility, FemTech moves from a segmented category to a mainstream force for better outcomes, fairer access, and stronger social impact.
Why the upside is larger than the market
The benefit of getting this right is not only commercial.
Better women’s health tools can improve early detection, support self-management, reduce avoidable complications, and lower the burden on social and healthcare systems.
They can also help close persistent gaps in access and outcomes that affect families, workplaces, and economies.
For HealthTech innovators, this is an opportunity to build products that are both mission-driven and scalable. For health systems, it is a chance to improve care quality and efficiency. For society, it is a way to move women’s health from an afterthought to an equal priority.
Actions that will move the field forward
The right direction will not happen automatically. It requires deliberate action across the ecosystem.
- Build products around real clinical needs, not only consumer engagement.
- Invest in women-inclusive research and validation from the start.
- Design privacy and governance into the product architecture.
- Create reimbursement models that reward prevention and continuity.
- Integrate FemTech into mainstream care pathways.
- Expand education for clinicians, employers, and the public.
- Expand the category to the invisible concerns to cover the full range of women’s health needs.
When these actions align, FemTech can mature into something larger than a market category. It can become a model for how health innovation should work: evidence-based, inclusive, trusted, and built to improve lives at scale.
A strong FemTech future is not just possible. It is a practical next step if the ecosystem chooses to treat women’s health as what it truly is: a core healthcare priority and a major driver of innovation.
Table: FemTech Focus Areas
| Field | Approximate number of active solutions/companies |
| Reproductive health & fertility | 120+ |
| Pregnancy & maternal care | 80+ |
| Menstrual health | 60+ |
| General women’s health & wellness | 50+ |
| Diagnostics & monitoring | 45+ |
| Menopause & perimenopause | 40+ |
| Pelvic & uterine health | 30+ |
| Chronic women’s health / integrated care | 30+ |
| Sexual health & wellness | 25+ |
Legend: FemTech is becoming a multi-category healthcare layer. Reports also show that software/apps remain the largest product type overall, while reproductive health continues to dominate as an application area. Best-effort estimates based on category listings, company directories, and market reports, not audited totals.
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