Imaduddeen Khan
See the 15 wins

For clinic owners, hospital admins & medical directors

Your doctors went to med school for ten years. They're spending six hours a day on paperwork.

From appointment chaos to discharge summaries to insurance pre-auth — most of the admin burden in Indian healthcare is now an AI workflow. Below are 15 places where I take work off doctors, nurses and the front desk, with the actual rupee impact.

₹19.00 L / year saved
For a mid-sized multi-speciality clinic / 30–80 bed hospital · math shown below
Calculations are for this size of business
Type
Mid-sized multi-speciality clinic / 30–80 bed hospital
Annual turnover
₹3–6 Cr / year
Team size
1 receptionist desk, 4–10 doctors, 8–20 nurses, 1 billing/insurance person
Locations
1 clinic / hospital

Bigger setup? Multiply the numbers by your scale (e.g. 3 clinics ≈ 3× savings). Smaller? Divide. The ratio of savings to cost stays the same.

Talk to Imad on WhatsAppSee the 15 automations
AppointmentsVoice EMRDischarge summariesPre-authPatient follow-up
Imad Khan · AI Automation

Built & shipped by Imaduddeen Khan — same engineer behind the heavy-haul AI platform

If this sounds like your week

Patients waiting. Doctors typing. Insurance bouncing. Nobody is actually doing medicine.

Read it honestly. If even three of these hit, you are bleeding hours and money you will never get back.

Front desk drowning in WhatsApp + phone + walk-in appointment requests with no single calendar.

Doctors typing notes till 10 PM instead of seeing one more patient — or going home to family.

Discharge summaries delayed by 2 days, beds blocked, new admissions waiting.

Insurance pre-authorisation takes 4–6 hours per case because forms get retyped 3 times.

Patient follow-ups (medication, reports, recall) silently dropped — preventable revenue lost.

Inventory of consumables and pharmacy items is on Excel; expiry losses every month.

329 hrs
Hours wasted today
team time / month
44 hrs
Hours after AI
285 hrs returned
₹1.58 L
Monthly cost saved
80% reduction
₹19.00 L
Annual savings
compounds every year

The 15 automations

Traditional way → AI way, with the math on the table

Every line below is a real workflow I have built or could ship inside 2–6 weeks. The per-task numbers describe a reference setup at the upper end (busy clinic, full QSR week, etc.) using a loaded labour rate of ₹600/hr. The headline savings of ₹19.00 L/year at the top of the page are these per-task savings scaled down to the mid-sized multi-speciality clinic / 30–80 bed hospital described above. If your business is larger, multiply; if smaller, divide.

01 · Front desk

Appointment booking across phone, WA, web & walk-ins

Traditional way

Receptionist juggles landline, two WhatsApp numbers, walk-ins, and a paper register.

  • • Time: 3 min × 90 bookings/day
  • • Volume: ≈ 2,300 bookings / month
  • • Total: 115 hrs / month
AI way (what I build)

AI receptionist on WA + IVR + website books, reschedules, sends reminders, even handles cancellations and waitlist promotion.

  • • Time: instant
  • • Human in loop: Front desk handles edge cases
  • • Total: 22 hrs / month
Saves 93 hrs & ₹48,300 every month — (115 hrs × ₹600 → 22 hrs × ₹600 + ₹7,500 tools)
What you'll feel

No-shows drop 30%. Patients stop saying 'nobody picked the phone'.

115h
manual / mo
22h
with AI / mo
₹69,000
costs you now
₹48,300
back in your pocket
02 · Voice EMR

Doctor consultation notes & prescriptions

Traditional way

Doctor types into EMR or scribbles paper, then a clerk re-enters at end of day.

  • • Time: 5 min × 35 patients/day
  • • Volume: ≈ 900 visits / month
  • • Total: 75 hrs / month
AI way (what I build)

Ambient voice scribe listens to consultation, drafts SOAP note + Rx + ICD code in Hindi/English; doctor edits 1–2 lines and signs.

  • • Time: 1 min × 900 visits
  • • Human in loop: Doctor signs every note
  • • Total: 15 hrs / month
Saves 60 hrs & ₹27,000 every month — (75 hrs × ₹600 → 15 hrs × ₹600 + ₹9,000 tools)
What you'll feel

Doctor finally leaves OPD on time. They actually look at the patient instead of the screen.

75h
manual / mo
15h
with AI / mo
₹45,000
costs you now
₹27,000
back in your pocket
03 · Discharge

Discharge summary creation

Traditional way

Resident copy-pastes from admission notes, lab results, vitals, scribbled progress notes — into a Word template.

  • • Time: 45 min × 12 discharges/day
  • • Volume: ≈ 320 / month
  • • Total: 240 hrs / month
AI way (what I build)

Agent reads EMR, vitals, lab, OT notes, drafts a structured discharge summary; doctor edits in 5 min.

  • • Time: 5 min × 320
  • • Human in loop: Doctor signs
  • • Total: 27 hrs / month
Saves 213 hrs & ₹1,21,300 every month — (240 hrs × ₹600 → 27 hrs × ₹600 + ₹6,500 tools)
What you'll feel

Beds turn over faster. ALOS drops, capacity grows without adding rooms.

240h
manual / mo
27h
with AI / mo
₹1,44,000
costs you now
₹1,21,300
back in your pocket
04 · Insurance

TPA pre-authorisation packets

Traditional way

Insurance desk fills 6 forms, attaches Rx, indoor papers, ICD codes, sends fax / portal upload, follows up.

  • • Time: 75 min × 12 cases/day
  • • Volume: ≈ 320 cases / month
  • • Total: 400 hrs / month
AI way (what I build)

Agent reads EMR + indoor file + treatment plan, fills TPA form, attaches docs, submits to portal; tracks query responses.

  • • Time: 8 min × 320
  • • Human in loop: Insurance officer reviews
  • • Total: 43 hrs / month
Saves 357 hrs & ₹2,05,700 every month — (400 hrs × ₹600 → 43 hrs × ₹600 + ₹8,500 tools)
What you'll feel

Pre-auth approvals come in same-day. Patients stop being held hostage at the cashier.

400h
manual / mo
43h
with AI / mo
₹2,40,000
costs you now
₹2,05,700
back in your pocket
05 · Recall

Patient follow-up & recall calls

Traditional way

Junior calls discharged/visited patients to check on medication, schedule follow-up, push tests.

  • • Time: 4 min × 50 calls/day
  • • Volume: ≈ 1,300 / month
  • • Total: 87 hrs / month
AI way (what I build)

Voice + WA agent calls in regional language, asks scripted health questions, books follow-up if needed, raises red flags to clinician.

  • • Time: auto
  • • Human in loop: Red flags routed to nurse
  • • Total: 12 hrs / month
Saves 75 hrs & ₹39,500 every month — (87 hrs × ₹600 → 12 hrs × ₹600 + ₹5,500 tools)
What you'll feel

Repeat-visit revenue grows without adding marketing spend. Outcomes also improve.

87h
manual / mo
12h
with AI / mo
₹52,200
costs you now
₹39,500
back in your pocket
06 · Triage

Symptom triage before the visit

Traditional way

Receptionist asks 'what's the problem?', books any available doctor — wrong specialty, wasted slot.

  • • Time: 2 min × 90 bookings/day
  • • Volume: ≈ 2,300 / month
  • • Total: 77 hrs / month
AI way (what I build)

Pre-visit chat asks symptom, duration, red flags; routes to right specialty; emergencies escalated to phone.

  • • Time: auto
  • • Human in loop: Front desk confirms
  • • Total: 12 hrs / month
Saves 65 hrs & ₹35,000 every month — (77 hrs × ₹600 → 12 hrs × ₹600 + ₹4,000 tools)
What you'll feel

Doctors see the right patients. OPD throughput rises without hiring.

77h
manual / mo
12h
with AI / mo
₹46,200
costs you now
₹35,000
back in your pocket
07 · Reports

Lab/radiology report dispatch & explanation

Traditional way

Report ready → clerk emails/prints → patient calls to ask 'what does this mean?' → doctor explains again.

  • • Time: 6 min × 80 reports/day
  • • Volume: ≈ 2,000 / month
  • • Total: 200 hrs / month
AI way (what I build)

Reports auto-sent on WA with a plain-language summary; if abnormal, agent books follow-up and informs the doctor.

  • • Time: auto
  • • Human in loop: Critical values to doctor
  • • Total: 22 hrs / month
Saves 178 hrs & ₹1,02,300 every month — (200 hrs × ₹600 → 22 hrs × ₹600 + ₹4,500 tools)
What you'll feel

Patients feel cared for, not just billed. Critical findings don't slip through.

200h
manual / mo
22h
with AI / mo
₹1,20,000
costs you now
₹1,02,300
back in your pocket
08 · Pharmacy

Pharmacy stock, expiry & reorder

Traditional way

Pharmacist counts, checks expiry, raises POs in Excel; expiry losses common.

  • • Time: 20 hrs / month
  • • Volume: 1 in-house pharmacy
  • • Total: 20 hrs / month
AI way (what I build)

Inventory model forecasts demand, alerts on slow movers near expiry, drafts POs to distributor.

  • • Time: auto
  • • Human in loop: Pharmacist approves PO
  • • Total: 4 hrs / month
Saves 16 hrs & ₹7,100 every month — (20 hrs × ₹600 → 4 hrs × ₹600 + ₹2,500 tools)
What you'll feel

Expiry write-offs nearly disappear. Stock-outs of fast movers also stop.

20h
manual / mo
4h
with AI / mo
₹12,000
costs you now
₹7,100
back in your pocket
09 · Old records

Digitising paper case files & old prescriptions

Traditional way

Data entry person types decades of paper notes into EMR — slow, error-prone, never finished.

  • • Time: 1 person × 8 hrs × 25 days
  • • Volume: ongoing
  • • Total: 200 hrs / month
AI way (what I build)

Vision LLM reads handwritten Rx, lab reports, discharge papers; structures into EMR; flags illegible items for human.

  • • Time: auto
  • • Human in loop: Operator reviews flagged items
  • • Total: 25 hrs / month
Saves 175 hrs & ₹1,00,000 every month — (200 hrs × ₹600 → 25 hrs × ₹600 + ₹5,000 tools)
What you'll feel

Years of paper become a searchable patient history overnight.

200h
manual / mo
25h
with AI / mo
₹1,20,000
costs you now
₹1,00,000
back in your pocket
10 · Quality

Hospital quality & infection-control reporting

Traditional way

Quality team manually fills NABH/HCO sheets each month from chart audits.

  • • Time: 30 hrs / month
  • • Volume: audit cycle
  • • Total: 30 hrs / month
AI way (what I build)

Agent walks through EMR & nursing notes, computes indicators (HAI, falls, re-admissions), drafts the monthly report.

  • • Time: auto
  • • Human in loop: Quality head reviews
  • • Total: 5 hrs / month
Saves 25 hrs & ₹12,200 every month — (30 hrs × ₹600 → 5 hrs × ₹600 + ₹2,800 tools)
What you'll feel

NABH cycles stop being a fire drill. Real quality issues surface in real time.

30h
manual / mo
5h
with AI / mo
₹18,000
costs you now
₹12,200
back in your pocket
11 · Billing

Inpatient billing & queries at discharge

Traditional way

Billing clerk pulls every charge from OT, ICU, pharmacy, lab; explains line items to family.

  • • Time: 55 min × 12 IP discharges/day
  • • Volume: ≈ 320 / month
  • • Total: 293 hrs / month
AI way (what I build)

Auto-aggregated bill with plain-language line items; AI explains charges to family on WA before discharge.

  • • Time: 8 min × 320
  • • Human in loop: Billing supervisor signs
  • • Total: 43 hrs / month
Saves 250 hrs & ₹1,44,000 every month — (293 hrs × ₹600 → 43 hrs × ₹600 + ₹6,000 tools)
What you'll feel

Discharge time falls from 6 hrs to under 2. Online reviews quietly improve.

293h
manual / mo
43h
with AI / mo
₹1,75,800
costs you now
₹1,44,000
back in your pocket
12 · Reviews

Online reputation & review responses

Traditional way

Marketing replies on Google, Practo, Justdial reviews — usually slow and templated.

  • • Time: 10 hrs / month
  • • Volume: 150 reviews
  • • Total: 10 hrs / month
AI way (what I build)

Agent monitors review platforms, drafts personalised responses citing the visit context, escalates real complaints.

  • • Time: auto + 1 hr review
  • • Human in loop: Marketing approves negative replies
  • • Total: 1.5 hrs / month
Saves 8.5 hrs & ₹3,300 every month — (10 hrs × ₹600 → 1.5 hrs × ₹600 + ₹1,800 tools)
What you'll feel

Rating ticks up. New patient inquiries increase without ads.

10h
manual / mo
1.5h
with AI / mo
₹6,000
costs you now
₹3,300
back in your pocket
13 · Outreach

Health camps, screening campaigns, recall drives

Traditional way

Marketing builds lists in Excel, sends SMS blasts; tracking near zero.

  • • Time: 16 hrs / month
  • • Volume: 2 campaigns
  • • Total: 16 hrs / month
AI way (what I build)

Segmented WA campaigns based on age, condition, last visit; bot answers FAQs and books slots directly.

  • • Time: auto
  • • Human in loop: Marketing reviews creative
  • • Total: 3 hrs / month
Saves 13 hrs & ₹5,300 every month — (16 hrs × ₹600 → 3 hrs × ₹600 + ₹2,500 tools)
What you'll feel

Camps actually fill. ROI per campaign becomes measurable.

16h
manual / mo
3h
with AI / mo
₹9,600
costs you now
₹5,300
back in your pocket
14 · Doctor knowledge

Internal protocol & guideline lookup for staff

Traditional way

Junior doctors call seniors at night to confirm protocols; seniors lose sleep.

  • • Time: scattered ≈ 25 hrs / month
  • • Volume: across staff
  • • Total: 25 hrs / month
AI way (what I build)

RAG bot trained on hospital SOPs, drug formulary, clinical guidelines — answers cited and traceable.

  • • Time: instant
  • • Human in loop: Seniors only for true edge cases
  • • Total: 4 hrs / month
Saves 21 hrs & ₹10,400 every month — (25 hrs × ₹600 → 4 hrs × ₹600 + ₹2,200 tools)
What you'll feel

Night-shift quality stops depending on which junior is on duty.

25h
manual / mo
4h
with AI / mo
₹15,000
costs you now
₹10,400
back in your pocket
15 · Analytics

Doctor-wise, department-wise P&L weekly

Traditional way

Finance pulls HMS exports into Excel; medical director reads on Friday.

  • • Time: 10 hrs / week
  • • Volume: 4 weeks
  • • Total: 40 hrs / month
AI way (what I build)

Live dashboard with per-doctor occupancy, IP/OP mix, payer mix, no-show rate, conversion to surgery.

  • • Time: auto
  • • Human in loop: Director reviews & acts
  • • Total: 5 hrs / month
Saves 35 hrs & ₹18,000 every month — (40 hrs × ₹600 → 5 hrs × ₹600 + ₹3,000 tools)
What you'll feel

You stop running the hospital on month-end shocks. You see leaks weekly.

40h
manual / mo
5h
with AI / mo
₹24,000
costs you now
₹18,000
back in your pocket

The honest math

₹19.00 L back every year.
3423 hours your team gets to live again.

Add a one-time build of ₹1.40 L and a small monthly run-cost of ₹5,600 for tools. Payback shows up in 1 months. Everything after that is profit.

WhatsApp Imad now See Imad's portfolio
One-time build
₹1.40 L
Monthly run-cost
₹5,600
Monthly savings
₹1.58 L
Payback period
1 mo

Why people remember Imad

You'll be hiring an engineer who already shipped this.

The same systems described above — agentic workflows, document extraction, voice agents, secure APIs, deployment — are running today inside a logistics company I built for. Not slides. Production.

Production-grade systems

13 modules, real users, real money flowing through them — see the heavy-haul case study.

Industry-aware design

Workflows are designed around how your domain actually moves, not generic ChatGPT wrappers.

Fast turnaround

First working slice in 7–14 days, full build in 2–6 weeks for most workflows.

Honest pricing

Fixed-scope quotes. You see the calculation, the build cost, and the payback month before signing.

Questions clinic owners, hospital admins & medical directors actually ask

Frequently asked questions

Q.How do hospitals implement AI without disrupting patient care?

We start with one painful, non-clinical workflow — usually appointment booking or discharge summaries — and ship a working slice in 7–14 days. Doctors only see AI suggestions they can edit and sign. No core EMR is replaced; we integrate via APIs/exports.

Q.Is an AI medical scribe safe for Indian clinics?

Yes — the AI drafts SOAP notes from the consultation audio in Hindi or English, and the doctor signs every note. Audio can be processed on India-region servers with consent, and PHI is encrypted at rest and in transit.

Q.How much does AI for a mid-sized clinic cost in India?

A medium clinic (₹3–6 Cr revenue, 30–80 beds) typically pays a one-time build of ₹50K–₹1.2L per workflow plus ₹3K–₹15K monthly tool cost. Payback usually shows up inside 3–6 months from saved doctor and front-desk hours.

Q.Will AI replace receptionists or doctors?

No. AI removes the repetitive parts — typing notes, chasing forms, calling patients with reports — so receptionists handle judgement calls and doctors do medicine. Headcount usually stays the same; per-doctor capacity rises 25–40%.

Next step is small

Send one WhatsApp. Get a free workflow audit.

I'll look at one painful workflow in your business and tell you, in writing, what it would take to automate it. No deck, no obligation.

WhatsApp +91 91251 97678Back to Imaduddeen Khan's portfolio

Built by Imaduddeen Khan · AI Automation Engineer

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