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Updated August 4, 2026Β·7 min read
How a 15-Location Weight Loss Practice Runs on One Platform

How a 15-Location Weight Loss Practice Runs on One Platform

Rivas Medical Weight Loss ran 15 clinics on paper charts β€” three feet of files a day. What moving off paper actually took, in their COO's words.

Kevin Cheng
Co-Founder & CPO, Decoda Health

TL;DR

5 key points
  • 01Rivas ran 15 clinics on paper charts, seeing between 20 and 115 patients a day depending on location
  • 02Pulling and refiling charts was close to a full-time job β€” roughly $50,000 a year in labor to move paper around
  • 03Legacy EMR quotes exceeded $300,000 and still couldn't subtract one visit's weight from the next
  • 04The practice's providers actively resisted the change, because paper is genuinely fast once you know it
  • 05AI-branded EMRs were ruled out structurally: most require an existing legacy system to sit on top of
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Three Feet of Paper a Day

Start with the physical reality, because it is easy to underestimate.

At 160 patients in a day, the resulting stack of files is a little over three feet tall. Someone has to pull every one of those charts before the clinic opens, and someone has to refile every one of them after it closes. At Rivas, staff came in an hour early or stayed late to do it.

As the practice's COO put it, that is nearly a full-time position whose entire output is moving paper from one place to another β€” and you are not hiring anyone full-time with benefits for under about $50,000 a year. Multiply by 15 locations and the cost of the filing cabinet stops being a rounding error.

The second cost was invisible and larger. Thousands of paper charts hold thousands of patients' worth of weight trajectories, dose responses, and outcomes β€” all of it useless. Getting at it would have meant, in the COO's estimate, something like ten thousand hours of transcribing into spreadsheets. A weight loss practice's most valuable asset is its longitudinal data, and theirs was sitting in cabinets.

The tools their team had were built for single-site clinics. None were designed with multi-location weight loss care in mind, and none could adapt to the group's membership model without expensive custom workarounds.

Weight loss care makes those gaps worse, not better. Programs run on recurring visits, GLP-1 agonist protocols and peptide protocols, and memberships that bill on cadences a standard EMR never anticipated. When a patient starts a program at one location and continues at another, the record has to follow them. When a membership renews on a 6-week or 12-week cycle instead of a monthly one, the billing system has to handle it without a workaround. The old stack did neither, so staff filled the gaps by hand, every week, at every site.

  • Scheduling across 15 locations required manual coordination that no single tool could own
  • Patient records were scattered, making longitudinal weight loss tracking inconsistent across sites
  • The membership billing structure couldn't be configured without outside developer support

Why the Obvious Fix Kept Failing

The case for leaving paper collapsed every time Rivas priced the alternative. Here is the practice's COO on the pitch he would have had to make internally:

β€œI couldn't tell Doctor Rivas, the CEO, hey, paper's a pain, we gotta have the front desk pull charts and put charts back, so we should go electronic medical records and pay in excess of $300,000. And by the way, we still gotta use our Amazon basic calculators that are $2.99 to say that he was 197.1 minus 195.3.”

That is the legacy EMR problem for weight loss care in one sentence. A six-figure system that still could not subtract last visit's weight from this visit's weight β€” the single number the entire program runs on. His comparison was blunter: Excel had sheets talking to each other and subtracting numbers back in the 1980s.

The newer AI-branded systems didn't solve it either, for a structural reason worth naming:

β€œThere are some newer EMRs that are getting very popular, but they're what I call, like, tuxedos. You first need to have a legacy software. And once you have this old EMR system, they can put their new AI system on top of it, and then it can pull data and be more modernized. And I'm like, I don't have an old legacy system.”

A practice coming off paper has nothing to bolt an AI layer onto. That eliminated most of the market before the evaluation properly started, and it is why the shortlist narrowed to systems that stand alone rather than systems that decorate something older.

The risk was not theoretical either. Rivas had already written off roughly $100,000 buying its way out of a contract after a vendor promised a capability it could not deliver β€” paid off because that was cheaper than the productivity loss and the providers who would have quit over it.

The Objection That Is Usually Right

Worth sitting with the part most vendor case studies skip: the clinical team did not want this.

The COO remembers close to 30 providers at the time, and a response to going digital that was close to unanimous β€” no, please, no. And they had a point. You can get genuinely fast with paper. A provider who has run the same chart layout for years is not slowed down by it, which means any replacement is not competing with paper's theoretical inefficiency. It is competing with a workflow those providers have already optimized.

This is where click count stops being a UX detail and becomes the whole argument. One Rivas provider who had come from orthopedics counted the clicks required per injection on her previous system: 66. That is the number a new system has to beat, and beating it by a little is not enough to overcome a team that liked what it had.

What Changed After the Switch

The documentation load was the first thing to go. A Rivas provider, describing AI Scribe during a visit:

β€œI was seeing patients yesterday, so I say what I'm giving them. Decoda will perfectly just pump, pump, pump. It'll just pull it up. And a lot of times, it's perfect. I don't have to edit it at all.”

How the Day Actually Changed

Area

Before Decoda

With Decoda

Scheduling

Paper appointment books, coordinated by hand across 15 clinics

Multi-location scheduling unified in one place, with leadership reporting across every site

Clinical documentation

Handwritten notes in paper charts; weight deltas worked out on a $2.99 calculator

AI Scribe captures visit notes in real time during appointments

Patient communication

Front desk pulling and refiling charts before open and after close, nearly a full-time role

AI Front Desk fields inbound calls and appointment requests without adding headcount

Membership billing

Program billing tracked outside any clinical record

Tiered membership tools configured to match actual program structures and billing cadences

Data access

Thousands of charts of outcome data effectively unreadable without ~10,000 hours of transcription

Command+K and Ask Decoda let any team member pull up records or query data in seconds

The second was the part practices rarely put in an RFP and always feel daily β€” whether anyone picks up. The COO described the difference in support against every other EMR he had evaluated as night and day: questions answered immediately, rather than a phone tree and a queue.

His summary of where that left the practice: Decoda took operations to the next level, from what he called a still-primitive paper setup, and it skipped a step doing it β€” rather than moving to an EMR first and layering AI on afterward, the practice went straight to the version with both.

Sophia Ro, Rivas's Clinical Operations Manager, put the whole thing this way:

β€œNothing short of amazing. They make it happen and are willing to make the system customized β€” building a platform to meet our very specific needs as a growing weight loss practice, with 15 locations. The customer service, the speed of which they innovate, is beyond what I ever expected from an EMR.”

Watch the full Rivas testimonial for the rest, including the closing line about needing to get fitted for an astronaut suit.

The Takeaway: What Software That Compounds With Growth Actually Looks Like

The pattern worth extracting from this is not a feature list. It is that the practice stopped absorbing the cost of its own software.

Every workaround in the before-state had a person attached to it: someone re-keying data between systems, someone coordinating a schedule across sites by hand, someone waiting on a vendor to configure a billing cycle. Those people were the integration layer. Replacing five tools with one did not just consolidate logins β€” it took that unpaid job away from the staff who had quietly been doing it.

For a weight loss practice specifically, the test is whether the software can hold a long, membership-based patient journey across locations without a human keeping the thread. Programs run for months. Patients move between sites. Billing follows a protocol, not a calendar month. Software that merely tolerates that arrangement will hand the difference back to your team, every week, at every site.

Final Thoughts on Finding Software That Actually Fits a Multi-Site Weight Loss Practice

The gap between software that was designed for growth and software that just tolerates it shows up in small ways every day: in the extra steps your staff takes, the notes your providers finish after hours, and the coordination that falls through the cracks. Your practice deserves a setup where those things just work.

Schedule a quick intro with Decoda to see how AI Scribe, AI Front Desk, and Ask Decoda fit into your workflow.

Frequently Asked Questions

How does a multi-location practice move off paper charts without losing a season to the transition?

Rivas went live one clinic at a time β€” starting at a single location, running it for about a month, then rolling out to the rest of the 15. The sequencing matters more than the speed. A pilot site absorbs the workflow questions that no demo surfaces, and by the time the remaining locations go live, the answers exist and the staff training is a known quantity rather than an experiment.

My providers don't want to leave paper. How do I get them on board?

Take the objection seriously first, because it is usually correct. Providers who have run the same paper chart for years are genuinely fast, so a new system is not competing with paper's theoretical inefficiency β€” it is competing with a workflow they have already optimized. That makes click count the whole argument. One Rivas provider counted 66 clicks per injection on her previous system; a replacement has to beat that by a wide enough margin that the team feels it in week one, not month six.

What's the real cost of staying on paper charts at a busy clinic?

At 160 patients in a day, the resulting stack of files runs a little over three feet tall, and someone has to pull every chart before open and refile every one after close. At Rivas that was close to a full-time role β€” call it $50,000 a year with benefits, per the practice's COO, to move paper from one place to another. The larger cost is invisible: thousands of charts of weight trajectories and dose responses that would take on the order of ten thousand hours to turn into anything you could analyze.

Why can't a practice coming off paper just use one of the new AI-powered EMRs?

Most of them are what the Rivas COO calls tuxedos β€” they need an existing legacy EMR underneath to pull data from, then layer AI on top. A practice on paper has nothing to bolt them onto, which rules out a large part of the market before an evaluation properly begins. The requirement becomes a system that works standalone rather than one that modernizes something older.

What's the best EMR for a multi-location weight loss practice running GLP-1 programs?

The requirement most general-purpose EMRs miss is arithmetic across visits β€” the weight delta between this appointment and the last one, which is the number the entire program runs on. Rivas found legacy systems quoting past $300,000 that still could not do it. After that, look for membership billing that isn't locked to a calendar month, since programs run on protocol-length cycles. Decoda handles tiered memberships with rollover and configurable cadences, and connects scheduling, documentation, and communication across every location.

What results do practices see after switching to Decoda?

Across Decoda's partner practices, the averages are 1.5x more appointments scheduled and a 70% reduction in inbound call volume handled by front desk staff. Those are cross-practice figures rather than any single clinic's results, and they will vary with your starting point β€” a practice moving off paper is measuring against a very different baseline than one replacing a modern EMR.

What happens when a practice needs a feature the system doesn't have yet?

Practices have a direct channel to the team building the product rather than a ticket queue, and requests from active practices shape what gets built next. Rivas had previously written off roughly $100,000 to exit a contract after a vendor promised a capability it could not deliver, so the relevant question is not how fast any one request ships but whether the vendor is honest about what exists today.