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Urgent Care Software: Custom Build vs Experity, Solv and athenahealth

Buy the chart. Experity, athenahealth and Epic have spent fifteen years on e-prescribing, interaction checking and device interfaces, and you will not catch them. Under roughly 40,000 annual visits on one instance, buy Solv for check-in and stop there.

Custom Software Development workflow illustration for Urgent Care Software Build vs Buy Guide.
The short answer

Buy the chart. Experity, athenahealth and Epic have spent fifteen years on e-prescribing, interaction checking and device interfaces, and you will not catch them. Under roughly 40,000 annual visits on one instance, buy Solv for check-in and stop there. Build only the operations layer above the record, and only past five sites or two systems inherited from acquisitions.

What Experity, Solv and athenahealth genuinely do well

Your regional director rebuilds a spreadsheet every Monday from four exports. That spreadsheet, not the electronic medical record (EMR), is what actually runs your network, and it is the reason you are weighing custom versus off the shelf. Before any of that, give the products their due.

Experity was built for this specialty rather than adapted from primary care, and it shows in the parts that matter clinically: discrete charting fast enough for a fifteen minute visit, e-prescribing with controlled substance workflow, interaction checking, and interfaces to the CLIA waived analysers on your counter. athenahealth brings genuine application programming interfaces and a revenue cycle operation behind them. Epic is the right answer when a health system owns you, because the referral and record continuity is worth more than anything you would build. eClinicalWorks sits reasonably in the middle for operators who grew out of family medicine.

In front of the chart, Solv and Clockwise.MD do online check-in, save-my-spot and a published wait time, and they do it well enough that building your own booking widget is a waste of money. Phreesia handles registration and intake. Waystar and Zotec clear claims. QGenda solves provider credentialing and fairness constraints in scheduling.

If you run one to three clinics on a single EMR instance and your real problem is that patients cannot book online, buy Solv, publish the number and go run your clinics. Below roughly 40,000 annual visits an operations layer will not pay for itself. We say that to operators most weeks.

Where they stop: the queue is per clinic, so the network is blind

Here is the workflow nothing on that list models. It is 5:40pm in the second week of flu season. Your busiest site has 22 people in the lobby, Clockwise is telling the internet 45 minutes, real door to door is past two hours, and six people leave without being seen. Four miles away another of your clinics has two patients and an X-ray technologist reading her phone. Nobody in either building can see the other building.

Solv and Clockwise estimate from recent throughput at one location. That means the published number stays calm right up until the queue is already broken, and it knows nothing about who is on shift at the sister site or whether the next four arrivals are ten minute rashes or fracture work-ups. Neither product moves demand, because neither was designed to. They sell a booking experience, not a network.

The same blindness runs through the money. You find out in the March remittance run that one site's self-pay share went from 9 to 17 percent in January, which is a quarter of revenue you cannot re-bill. The cause is usually mundane: an employer changed carriers, or a registrar hired in December keeps picking the wrong entry from a payer list with four plausible options that route to different payer identifiers. Experity dashboards show visits and charges. Waystar shows denials by reason code. Neither shows denials by registrar, by site hour, or against the insurance card image the front desk photographed, so CO-22 and CO-27 stay anonymous.

And the quiet one: several payers zero out the urgent care facility code S9088 and the after hours code 99051, and in most networks nobody is watching that line by payer.

The arithmetic: cost per visit and per provider against a build

Use your own invoices. EMR and practice management here is typically priced per provider per month, or as a percentage of collections when the vendor also does billing. Check-in products price per location per month plus a fee per booking. Add them, divide by last year's visits, and you have your software cost per visit. Most operators have never seen it.

Now the part the invoice hides. Cost the hours your regional director spends rebuilding reports, the walkouts your busiest site sends home on a Tuesday evening, and the self-pay share that moved before anyone noticed. Those are the numbers a build competes against, not the licence.

The crossover is a visit count and a site count together. Below about 40,000 annual visits across the network, or three sites on one EMR instance, buy and configure. Above roughly 60,000 annual visits, or five sites, or two EMR instances inherited from acquisitions, the operations layer starts returning more than it costs, because a single transfer offer that keeps a patient in your network on a busy evening is worth a contracted visit, and at that volume there are several every week. Two instances is the sharper trigger than volume alone: the day you cannot see one queue across the network, no amount of licence spending fixes it.

What a custom build actually costs, plus migration and year two

In Digital Heroes delivery experience, a focused first release covering a shared arrival ledger across sites, patient transfer between locations and a real payer mix view runs $60,000 to $130,000 and ships in 12 to 16 weeks. A full platform adding occupational medicine, the employer portal and invoicing, demand forecasting and a closed loop results register runs $150,000 to $400,000 phased across 6 to 12 months.

Data migration runs 10 to 25 percent of build cost. In urgent care it is rarely clinical data, which stays in the chart, and almost always employer, contract and historical visit data used for forecasting. The expensive part is normalising three years of check-in timestamps from two acquired systems that recorded arrival differently. Year two and after runs 15 to 20 percent of build cost annually, and here that is not optional, because payer contracts change, sites open and a queue board that dies at 6pm on a Tuesday is worse than no queue board.

Three drivers push the number in this category. Interfaces: Experity generally means HL7 version 2 feeds and nightly extracts rather than modern application programming interfaces, athenahealth has real interfaces with partner and per transaction fees, and Epic means a vendor services process measured in months. Each inherited instance is its own integration, and the interface engine is a line item plus a per site monthly. Second, revenue cycle scope, because reading 835 remittance files and modelling contract rates roughly doubles the data model. Third, compliance as engineering: business associate agreements, row level audit logging on every read of protected health information, environment separation and a penetration test before go live. Budget 10 to 15 percent of the build for it and stop negotiating with yourself about it.

The four situations where building wins

Regulatory fit. Occupational medicine is the clearest case. A Department of Transportation physical, a chain of custody drug screen and a workers compensation injury visit under an employer panel each carry their own documentation and their own payer, and the injury visit prices against a state fee schedule rather than your cash rate. Products treat the employer as a payer record. It is not one.

Scale economics. Past the crossover above, per provider and per booking pricing compounds while the thing you actually need, one view across sites, is not for sale at any price.

A workflow that is your advantage. For a multi-site operator that is load balancing. Offering the patient in position fourteen a text saying the next site is 22 minutes and a nine minute drive, then moving their place in a shared ledger, is not a feature any vendor sells because no vendor has your sites.

Integration sprawl across three or more systems. Count yours: EMR, practice management, check-in, registration, eligibility, clearinghouse, provider scheduling, reference laboratory, teleradiology overread. Once one workflow crosses three, the coordination lives in a person, and in urgent care that person is usually a medical assistant with a clipboard holding a positive culture result for a patient seen on Tuesday.

How to decide in a week, and what discovery leaves you owning

Pick your busiest four hours, which for most operators is 4pm to 8pm midweek in season, and instrument it by hand for five consecutive days. Station one person per site with a printed sheet. Record arrival time, chief complaint category, whether X-ray or laboratory was needed, departure time, and every patient who left before being seen. No software required.

At the end of the week, put the sites side by side hour by hour. If your busiest site was red while another sat under capacity for two or more of those hours, you have a network problem and an operations layer will pay. If all sites moved together, your problem is staffing hours and a forecast, which is a cheaper fix. Then pull the same week's registrations and count how many had an eligibility response that did not match the card. Above five percent, your payer mix leak is at the front desk, not in billing.

Then pay for a discovery phase rather than taking a free proposal. At Digital Heroes that produces a signed product requirements document before any code: the data model separating patient, visit, encounter, employer, claim, authorisation and result, the interface inventory with named vendor contacts, the protected health information boundary, acceptance criteria and a fixed price. You own that document whichever firm builds it.

Who we are wrong for: single site operators, anyone wanting the chart rebuilt, and anyone who needs a billing service rather than software. We work as India LLP, US LLC and UK LTD entities so intellectual property assigns under your own law, you own the repository from the first commit, and you meet the named engineers before signing. More than fifty specialists, over 2,000 projects, checkable on Clutch, Trustpilot, Fiverr Vetted Pro and D-U-N-S.

Book a 30-minute call with Digital Heroes and get a written plan and a fixed quote within 48 hours.

Research & sources

The evidence behind this guide

Independent findings on why this investment pays off. Every link goes to the primary source.

  1. Poor software quality cost the US economy an estimated $2.41 trillion in 2022, including roughly $1.52 trillion in accumulated technical debt, driven partly by unsuccessful development projects and low-quality legacy systems. Source: Consortium for Information & Software Quality (CISQ) - Herb Krasner (2022) →
  2. McKinsey found that tech debt can amount to 20-40% of the value of a company's entire technology estate before depreciation, and CIOs report that 10-20% of the budget for new products is diverted to resolving tech-debt issues. Source: McKinsey & Company (2020) →
  3. In a McKinsey global survey of 1,259 respondents, only about 20% said their organizations excel at decision making, and just 37% said their organizations' decisions were both high quality and high in velocity. Source: McKinsey & Company (2019) →
  4. SHRM's 2025 benchmarking data puts the average cost-per-hire at $5,475 for nonexecutive roles and $35,879 for executive roles - executive hires are on average nearly 7x more expensive than nonexecutive hires. Source: SHRM (Society for Human Resource Management) (2025) →
FAQ

Frequently asked questions

How long does an urgent care operations layer take to build?

Twelve to sixteen weeks for a first release covering the shared arrival ledger, patient transfer between sites and payer mix visibility. Occupational medicine, the employer portal, forecasting and the results register add six to twelve months more. The schedule risk is almost never engineering. It is waiting on an EMR vendor to provision an interface, which for one large vendor is routinely measured in months.

Who owns the code and the patient data in a custom build?

You should own the repository, the cloud accounts, the secrets and the data, in writing before kickoff, with a runbook another firm could pick up. Protected health information must sit in infrastructure your organisation controls and appears on your own business associate agreements. At Digital Heroes the client owns the code from the first commit and can hire anyone else to continue the work.

What happens if we acquire a clinic running a different EMR?

That is precisely the scenario an operations layer is built for, and it is why the layer sits above the chart rather than replacing it. You add one more feed into the shared ledger instead of forcing a conversion on day one. Budget the new interface as real work, because each vendor has its own process, its own fees and its own timeline for provisioning a feed.

Can we build the queue without touching clinical records?

Yes, and it is the cleanest first release. An arrival ledger needs the admit, discharge and transfer feed, your own check-in events and a chief complaint category mapped to acuity and resource need. None of that requires the clinical note, the medication list or the diagnosis. Keeping the clinical record out of scope reduces both the compliance surface and the price.

Should a single site urgent care clinic build anything?

No. One site with one EMR instance should buy check-in, publish an honest wait time, and put the money into a provider hour or a second X-ray technologist. Everything an operations layer offers assumes more than one queue to compare. We turn this work away regularly, because a build at that scale costs more than the problem and takes attention away from the clinic.

What is the difference between an EMR and an operations layer?

The EMR is the system of record for the clinical encounter, and it holds the chart, prescribing and coding. An operations layer sits above it and answers questions the chart was never designed to answer: where is demand right now across every site, which registrar is generating denials, which employer pays in nineteen days and which in ninety. One is clinical truth, the other is business control.

How much does it cost to add occupational medicine to a build?

It behaves like a second product rather than a module, so treat it as its own phase inside the $150,000 to $400,000 platform band. What drives the cost is the employer as a first class entity with a rate card, purchase order capture, an employer portal showing pass or fail without clinical detail the employer is not entitled to, and monthly invoicing matched to the purchase order.

Can a build reduce patients who leave without being seen?

It can, though only where you have somewhere to send them. The mechanism is unglamorous: see every site's real door to door in near real time, offer transfer to the patient before they decide on their own, and throttle online slot release when a site goes red so you stop selling seats you cannot serve. Single site networks get none of that benefit.

What happens to a positive culture result when the provider is off?

In most operations it sits in an EMR inbox belonging to a person, with no service level and no escalation, which is both a safety event and a revenue event. A custom results register routes incoming result feeds into a queue owned by a role rather than a person, puts a clock on each item, and escalates at defined intervals. Nothing closes silently, and every closure is logged.

Should we build forecasting before or after the shared queue?

After. Forecasting depends on clean arrival history, and that history only becomes trustworthy once the shared ledger has been running long enough to normalise timestamps across sites and systems. Build the queue, run a full season on it, then train on your own check-in data plus school calendars, weather and your rapid test positivity rate, which leads volume by days.

Is custom software more secure than off-the-shelf SaaS?

Neither is secure by default; security tracks the practices of whoever builds and operates the system, not the model. SaaS gives you the vendor's certifications and patching but puts your data in a shared multi-tenant platform on their terms, while custom gives you full control over data residency, access rules, and compliance requirements like HIPAA, with the responsibility sitting with you and your agency. Before hiring anyone for a system holding sensitive data, ask for their security checklist: encryption at rest and in transit, an OWASP Top 10 review, role-based access, and a penetration test before launch.

How do I work out whether custom software will pay for itself?

Do the arithmetic on hours before anything else: if the system saves three staff eight hours a week at a $35 loaded hourly cost, that is about $43,700 a year against, say, a $70,000 build plus 15 to 20% annual maintenance, a payback around two years. Add revenue effects only if you can name them specifically, like faster quotes or fewer abandoned orders, not as vague growth. In our delivery experience the businesses that see payback inside 24 months are the ones automating a process they already measure.

How do I vet a software development agency before signing a contract?

Ask to speak with two past clients whose projects resemble yours in size and industry, and ask exactly who will write your code, since some agencies sell senior faces and deliver junior or subcontracted hands. Demand a written specification with acceptance criteria before any fixed price, and check that their portfolio links to products that are actually live. An instant quote given without questions about your workflows is the clearest warning sign there is.

Can we migrate years of data out of our current system into new custom software?

Almost always yes, through CSV exports or the vendor's API, and migration should be scoped as its own workstream with field mapping, a dry run, and a planned cutover window rather than an afterthought. The real time sink is rarely moving the data; it is cleaning it, since years of duplicates, free-text fields, and inconsistent formats surface all at once. Pull a full export from your current vendor before committing to anything new, because some SaaS plans restrict exports on lower tiers.

What happens to my software if the agency shuts down or we stop working together?

Nothing dramatic, if the engagement was set up correctly: the code sits in your repository, hosting runs on your cloud account, and a handover document explains how to deploy and operate the system. Any competent replacement team can then take over in days rather than months. If the agency controls the repo, the servers, or the domain, fix that now, because renegotiating access during a dispute is the most expensive place to discover the problem.

Who can build a custom software system?

Digital Heroes builds custom software systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, with an assigned senior team rather than an account manager.

Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.

What makes Digital Heroes different from other software companies?

Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.

Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.

How can I check Digital Heroes is legitimate before getting in touch?

Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.

Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.

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