Hashlogics

AI, automation and custom software for clinics and practices, built around the EHR or PMS you already run

You keep athenahealth, eClinicalWorks, Epic, Dentrix, Open Dental, ezyVet or whatever you run. We build the layer around it: the 4:50 new-patient call answered and booked, reminders and recall that actually run, eligibility and prior auth done before the patient arrives, claims scrubbed and denials worked, and the owner's numbers in one place.

What changes for your practice

3 things that decide this

  1. 01New patients book whoever answers first, and a front desk that's checking someone out can't. Your line answers, screens by your rules, books into your schedule and verifies the basics, at 4:50pm and on Saturday, with clinical and emergency calls going to a person.
  2. 02The work around the visit runs on its own: reminders by appointment type, the empty slot backfilled from the waitlist, eligibility and prior auth done before the patient arrives, the claim scrubbed before it goes out, the denial in a work queue the same day.
  3. 03PHI decides the architecture before the roadmap does. A BAA with every vendor in the chain, access scoped to role and patient, de-identification where a model is involved, and an audit trail your compliance officer can read.

On the record

What you can check before you call

5.0

Clutch rating from client reviews

4

countries our client work runs in: US, UK, Switzerland, Australia

2017

building since. TechNova 2026: Best AI-Native Software House of the Year

2 mo

of support and maintenance free after launch. BAA and NDA before the first call about real data

What we build

Eight places a practice leaks time and revenue, and what we put in each one

These are the eight areas our sales team and our audits keep finding, in the order a patient meets them. Each links to the page that owns it.

Be the practice that answers. Fill the chair.

Front desks miss a large share of inbound calls while they're busy with the patient in front of them, and after-hours goes to voicemail. We add an AI front-desk line that answers, screens by your rules, books into your schedule and verifies the basics, and sends anything clinical or urgent to a person.

AI front desk for practices

Empty slots backfilled. Recalls that actually run.

No-shows sit in the teens for most practices and recall lists never get worked across locations. We run reminder and confirmation sequences by appointment type, backfill an open slot from the waitlist, and run recall and reactivation from the records you already hold.

How to reduce no-shows with automation

Verification done before the patient arrives.

Insurance verification runs 12 to 20 minutes a patient by phone and portal, and prior auths go out by fax. We automate eligibility before the visit, verification into your PMS, and prior-auth packets assembled from the chart and tracked to decision, with a person on the exceptions.

RCM automation for practices

Chart once. Type nothing twice.

Your EHR does most of the job and your staff copy the rest between systems. We build the integrations your vendor won't (FHIR, HL7, the vendor's own API), intake that lands in the chart, and documentation that goes into your template with the clinician's sign-off.

EHR integration for practices

Clean claims out. Denials worked. Balances collected.

Claims go out late, denials get worked when someone has time, and patient balances sit. We scrub claims against payer rules before submission, queue denials by reason and dollar, send statements and payment links on a schedule, and build the RCM view across your PMS, clearinghouse and accounting.

RCM automation for practices

Same standard at every location, without hiring for it.

Every location answers the phone and runs recall differently, and the knowledge leaves with the receptionist who leaves. We put the standard work in software: a shared phone brain, shared recall rules, and dashboards by site.

Custom software for practices

Know which chair, which payer and which source make money.

Production, collections, no-show rate, new-patient source and payer mix live in the PMS, the clearinghouse and QuickBooks, and they disagree. We build the practice dashboard across them, read-only, custom where no report exists.

Which practice KPIs actually matter

Patients who know what's next, and come back.

Patients call for results, forms and balances, and reviews happen by accident. We add two-way messaging off the record, a portal that does what yours won't, review requests at the right moment, and reactivation by visit type.

Custom software for practices

The whole chain

From the 4:50 call to the next visit, and where the machine takes over

Seven stations of a practice's day. Pick your system to see what each step writes back; Epic, Open Dental, Cornerstone and the rest follow the same pattern to the depth their access model allows.

Your system

Station 01 · The 4:50 call

Today
A new patient calls while the front desk is checking someone out. It rings through, goes to voicemail, and they book with the practice that picked up.
What we automate
Your line answers in two rings, asks what your best front-desk person would ask, screens by your rules, checks the basics of coverage, and books into a real open slot with the right provider.
What stays human
Anything clinical or urgent goes to a person before the caller finishes the sentence: chest pain, a child who can't breathe, a dog that ate something, a patient in distress. Your line says so and connects them.

Writes to athenahealthPatient record and appointment on the schedule with notes and the recording attached.

Each station links to the page that owns it. The clinical decision stays with the clinician at every one.

Why PHI decides the architecture

Where patient information travels is the first design decision, made on paper, with your compliance officer

Most practices we talk to have had an AI tool vetoed by compliance, and the veto was usually right: the vendor couldn't say where the data went, wouldn't sign a BAA that covered every party in the chain, or trained on inputs. So every build starts with a one-page PHI map: which system holds what, which vendor touches it, which region, what's logged, what's retained, and which fields get de-identified before a model ever sees them.

What follows is simple to state, and we put it in writing. A BAA with every business associate in the chain before any PHI moves. Access scoped to the role and the patient, never practice-wide. No training on your data. An audit trail of who saw what. And the clinical decision, the diagnosis and anything that touches care stays with a clinician; the software schedules, verifies, drafts and reminds.

  • 01BAA with every vendor in the chain, signed before anything is built.
  • 02PHI scoped to role and patient; de-identified where a model is involved; audit trail on every access.
  • 03The clinical decision stays with the clinician; the software schedules, verifies, drafts and reminds.

Published evidence, not our numbers

Why the bar is higher when software touches care

0.63

Measured AUC of a widely deployed sepsis model, against a vendor claim of 0.76 to 0.83 (Wong et al., JAMA Internal Medicine, 2021)

41s

Time saved per note by the better of two ambient AI scribes in a 238-physician randomised trial (Lukac et al., NEJM AI, 2025)

37 of 92

Published prediction studies that used post-discharge diagnosis codes as inputs, a known flaw (Ramadan et al., JAMA Network Open, 2025)

How a clinical model goes wrong without an errorLive
  1. ValidatedScores well on the test set.
  2. DeployedClinicians start trusting it.
  3. Inputs moveNew assay, new coding, new case mix.
  4. Still answeringNo error. No alert. Same speed.
  5. Trust erodesStaff quietly start overriding it.
  6. Switched offMonths later, by a human who noticed.

It's why the operational work on this page (phones, scheduling, verification, claims) is where most practices should start with AI, and why anything nearer to care ships with monitoring, an audit trail and a clinician's sign-off designed in. TrialTriage, our oncology trial-matching system, was built that way.

A client, on camera

They will treat your vision like their own and build it that way.

Ron Klabunde · Founder, SmartREI

A regulated-data client, in their own words

I am extremely happy with the results and would highly recommend Hashlogics to anyone.

Daniel Khin · CEO, PremiumAudit.io

Keep your system

We don't replace athenahealth, Dentrix, ezyVet or whatever you run. We build what they won't.

Every EHR, PMS and PIMS is good at the job it was built for, and most practices we talk to describe the same gaps around it: the call nobody answered, the recall list nobody ran, the verification done by hand, the report rebuilt in a spreadsheet. Replacing the system doesn't close those gaps; it moves them.

So the access model matters more than the brand. athenahealth, eClinicalWorks, Epic, Dentrix, Open Dental and ezyVet each expose patients, schedules, documents and billing through APIs, FHIR endpoints or exports to different depths, and some need a vendor programme to get in. We confirm exactly what your account exposes during the audit and design to it, and where the API stops we build a reviewed queue your staff accept with one click rather than re-type.

  • 01Appointment, patient and intake write-back into your system, with the recording attached.
  • 02Your EHR stays the chart; we draft into it, we don't replace it.
  • 03Payments are posted by your staff, never by the system.
How the engagement runsLive
  1. AuditFree. We read last month's calls by hour and outcome, your no-show and recall numbers, verification minutes per patient, and the manual work around the EHR.
  2. DiagnoseWe map the path into your EHR or PMS, sit with your front desk and billing for an afternoon, and write the PHI map.
  3. BuildFixed price from the diagnostic. BAA signed first. Tested on your real schedule and real claims, de-identified where it should be.
  4. RunMonitoring, a named engineer, and the first two months of maintenance free.

Best fit: a practice or group with two or more providers, a front desk that's saturated, and an EHR or PMS you've outgrown in places. Not a fit yet: a solo provider who needs the phone picked up, and we'll say so. You can stop after any stage; the audit note is yours either way.

Questions practice owners ask

Before you book

01Is it HIPAA compliant?+

Our architecture is, and we put it in writing before anything is built: a BAA with every vendor in the chain, PHI scoped to role and patient, de-identification where a model is involved, no training on your data, an audit trail of every access, and a one-page map of where patient information travels that your compliance officer signs off. HIPAA doesn't certify software; it makes you responsible for how it's built, which is why we show you.

02Do we have to leave our EHR or practice management system?+

No, and we'd usually tell you not to. You keep the system your staff know. We build the layer around it: the line that books into it, the verification that writes to it, the documentation that drafts into it, the dashboards it doesn't have. We only suggest replacing a system when it genuinely can't do the job, and we'll show you why.

03Can an AI answer a medical practice's phone safely?+

For the operational calls, yes, with the escalation rules designed first. Your line books, reschedules, verifies the basics and answers the questions you've written answers for; it never gives clinical advice. Anything clinical or urgent goes to a person immediately, by a trigger list you write. That list is the first thing we build and the first thing we test.

04Will this replace our front desk?+

It takes the phone load off them. Practices tell us the front desk spends most of the day on the phone and still misses a share of calls while helping the patient in front of them, and that they can't hire their way out of it. Your line handles the routine calls; your people handle the patients in the room and the calls that need a person.

05Can you integrate with Epic, athenahealth, Dentrix or our PIMS?+

To the depth your account exposes, and we confirm that during the audit rather than promising it on a call. Each vendor has its own access model: FHIR endpoints, a marketplace programme, a partner API, or exports. We design to what's actually there, and where it stops we build a reviewed queue your staff accept with one click.

06We're a two-dentist practice. Too small for this?+

Probably not for the phone and recall work, which is where a small practice feels it most, and probably yes for a full RCM build. Our audit is free and we'll tell you honestly which pieces would pay for themselves at your size. A solo provider who just needs the phone picked up should use a packaged service, and we'll say so.

07How do you keep patient data out of a model provider's hands?+

By deciding what the model sees. Fields that identify a patient are removed or tokenised before a model is involved, the model runs under a BAA or inside your environment, nothing trains on your data, and the mapping back to the patient happens in your system, not the model's. That's written into the PHI map before the pilot.

08What's the free audit, and what does the build cost?+

It's a free call and a workflow review: last month's calls by hour and outcome, no-show and recall numbers, verification minutes per patient, prior-auth hours, and the manual work around the EHR. You get a one-page map of where the hours go and a build order. Build pricing is fixed after the diagnostic, and the first two months of maintenance are free.

Who you'll talk to

A senior engineer, not a sales rep

Abdul Basit founded Hashlogics in 2017, and the team runs from Lahore with a US LLC. Clients rate the work 5.0 on Clutch, and in 2026 it was named Best AI-Native Software House of the Year at TechNova. TrialTriage, an AI clinical-trial matching system for oncology, is one of the systems we built and can show you.

Your audit call is with an engineer who has read call logs, schedules and denial reports like yours. Bring last month's numbers if you have them, and we'll work from those.

  • BAA and NDA before the first conversation about real data.
  • No pitch on the call. A note you could hand to another vendor.
  • Fixed price after the diagnostic, so the number isn't a guess.
Receiving Best AI-Native Software House of the Year at the Tech Titans Global Awards, TechNova 2026
By Abdul Basit, CEO, HashlogicsUpdated
Start

Let’s deploy working AI into your business.

We build AI agents and automation, ship them into the tools you already run, then stay on under an agreed service level. A senior engineer reads every brief, and your call gets scheduled within 24 hours.

What happens next

  1. 01

    You send a brief or book a call

    Two minutes, whichever you prefer.

  2. 02

    A senior engineer replies within 24 hours

    Not a sales rep.

  3. 03

    Honest scoping, in writing

    And if we’re not the right fit, we say so.

Abdul Basit, CEO of Hashlogics

“I started Hashlogics because too many teams ship a demo, get paid, and disappear. We build to a standard we’d run ourselves — and we stay to keep it running.”

Abdul Basit · CEO · a direct line

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