8:30 — a call to the call center. The operator sees the incoming call on the live supervisor dashboard, picks up. The patient wants a cardiologist. The operator searches by MPI, finds the patient in five seconds, books for 12:00 through the booking wizard — service, doctor, slot, payment method — in one minute. The booking appears in the reception queue.
Medical Information System
One system instead of six. With AI inside.
MISS is a medical information system where reception, lab, cashier, call center, marketing, and analytics are connected — and governed by the AI agent Cortex.
The Problem
Clinics run on six systems that aren't connected
A typical clinic in Kazakhstan simultaneously runs a lab system, a clinical MIS, a cashier, a CRM, and Excel spreadsheets. Data is duplicated, lost between systems, and no manager sees the full picture. None of the existing systems — Medialog, 1C:Medicine, Aurora, Terra Pro — offers an AI agent working with real clinic data.
The medical information systems market in Kazakhstan is consolidating. Clinics are looking for a single solution to replace a set of disconnected tools.
A Day with MISS
Morning at the clinic — from call to report
11:55 — the patient arrives. The administrator marks arrival with one click. The card moves to 'Waiting Room', the timer starts. The doctor sees the patient in their list.
12:05 — the doctor opens the patient chart. SOAP notes, allergies, vitals, medications, test results — all on one screen. The doctor speaks — the system records and suggests structured data. AI suggests, the doctor confirms.
12:30 — the doctor orders tests. Cortex suggests investigations from the catalog with rationale. The order appears in the lab worklist — no phone call, no paper referral.
13:00 — the cashier accepts payment: cash + card in one receipt. The fiscal device confirms. Re-click, lost connection — money will not be charged twice.
13:15 — the doctor completes the visit. Formalizer assembles the document: clinic letterhead, coded diagnosis, completeness check. PDF delivered to the patient via Telegram.
End of day — the finance director opens the revenue cycle dashboard: AR aging, denial rates by payer, bank reconciliation with automatic match suggestions. The marketer opens the attribution cockpit: leads with sources. The call center supervisor reviews the load heatmap and SLA.
One system. All data connected. Not a single switch between programs.
Composite scenario based on working MISS demo environments.
Platform
Eight modules, one architecture
Scheduling & Front Desk
Columns update instantly via WebSocket. Smart slot ranks doctors by availability. Booking from call to confirmation — in one minute.
Electronic Medical Record
Structured SOAP notes in Russian and Kazakh. Three input methods: voice, manual, template. AI suggests diagnosis with ICD-10 — the doctor confirms. Automatic allergy warnings.
Laboratory (LIS)
Worklist with priorities (STAT/ROUTINE), barcode scanner, validation against reference ranges. QC with Levey-Jennings charts. Critical values tracked until physician acknowledgment.
Finance & Cashier
Revenue cycle dashboard: days in AR, denial rate, collection. Bank reconciliation with auto-match. Fiscal circuit with payment terminals — all in one receipt. Refund: one creates, another confirms.
Call Center
Incoming calls appear on the supervisor screen in real time (SSE). Load heatmap. Missed calls become callback tasks. Telegram chats with SLA tracking.
CRM & Marketing
Every lead has a source. Attribution cockpit: leads by channel, conversion, acquisition cost. Campaigns (SMS, Telegram) with patient return triggers. Approved templates with versioning.
Business Intelligence
Metric catalog with formulas. Scheduled reports. Customizable dashboards. Cortex creates a widget from a single sentence — no developer, no SQL.
Formalizer
Branded documents: the clinic configures the letterhead, the doctor writes the content. Coded diagnosis, completeness check, per-edit review. PDF generated on the fly and delivered via SMS or Telegram.
Principle
AI suggests — the doctor confirms
The key principle of MISS: nothing is written to the chart automatically. AI suggests — diagnosis, treatment plan, orders. The doctor confirms. Every action that changes data awaits confirmation. The final word always remains with the doctor.
"It didn't create the task itself — it prepared the action and waits for confirmation. That's how everything that changes data works."
Artificial Intelligence
Cortex — an agent, not a chatbot
Cortex is an AI agent built into MISS. Not a chatbot that answers questions, but an agent that sees clinic data and takes actions with user permission.
On-demand analytics
The marketer types: 'Show leads for the month broken down by channel'. Cortex creates a metric, computes on real data, and adds a widget to the dashboard — no developer, no SQL.
Clinical support
The doctor orders tests — Cortex suggests investigations from the catalog with rationale and pricing. The decision stays with the doctor: remove unnecessary items with one click.
Operational analytics
Analysis of missed calls, SLA breaches, lost leads — answer in seconds, not by next morning.
90 clinical tools across 26 domains, 9 RBAC roles.
Platform
Built on working software
Integrated modules
8
Scheduling, EMR, LIS, Finance, Call Center, CRM, BI, Formalizer — one login, one database.
Cortex clinical tools
90
Across 26 medical domains with role-based access control.
UI languages
2
Russian and English. Kazakh localization in preparation.
All demo videos are recorded on working software. MISS conducts demonstrations and pilot deployments for clinics in Kazakhstan.
Patient App
A medical team in your patient’s pocket
The patient app is the patient surface of MISS. Same record, same AI, same safety rules. What your clinicians enter, the patient sees on their phone. What the patient reports, your clinicians see on their screen. One system, two views.
The 15-minute problem
Your patients forget most of what you tell them before they reach the car park. A 15-minute appointment is enough for a prescription, not for a root cause. The patient app picks up where the appointment ends: a daily plan, an explanation behind every recommendation, and a live link back to the clinic — without adding to your staff’s workload.
Two-minute onboarding
The doctor taps "Send app" during the visit. An SMS with a short link arrives. The patient enters their phone number, receives a one-time code, and they are in. No passwords, no app store, no IT department.
A calm daily timeline
Every morning the patient opens "Today": a short list of cards timed to their day. Morning medication, a walk after lunch, dinner before eight, blood pressure on Wednesday. One tap to mark done. Doctor-placed cards are locked and labelled "verified by doctor."
Glass Box, not vibes
Every recommendation has a "Why?" button. The patient sees where it came from, what data it rests on, what is uncertain, and what would change it. Deterministic rules first, plain-language explanation second. No black-box guessing.
Safety that does not sleep
A patient types "chest pain." A deterministic filter in three languages catches it before the AI is called. The AI is never invoked. The patient sees immediate safety steps. A task lands in the support queue within seconds. Medication dosage advice without a doctor’s order is blocked at every layer.
Real data between visits
Blood pressure, weight, waist, glucose — logged as a time series, not once a quarter. A daily check-in captures mood, energy, sleep, and hunger in four taps. Your clinicians see everything in real time on their screen.
One system, two views
The patient’s phone and your clinic screen run on the same platform. The doctor’s plan appears as a locked card on the patient’s phone. The patient’s self-report appears on the clinician’s dashboard. Every platform improvement reaches the patient automatically.
Security
What we can honestly say about data protection
Every tenant's data is isolated at the database level with Row-Level Security on 100% of tables — verified by automated tests in CI.
Patient health information is encrypted at rest using AES-256-GCM with per-organization cryptographic key derivation.
All clinical and administrative actions are recorded in a log protected by a trigger that prohibits modification or deletion. Retention: 6 years.
Backups are encrypted and stored with a separate cloud provider with create-only permissions.
No one can approve their own refund. One person creates the request, another confirms.
Role-based access determines what each staff member sees: only data and actions relevant to their function.
Honest answers
Uncomfortable questions
Kazakhstan
Do you have customers in Kazakhstan?
Not yet. We are conducting demonstrations and pilot deployments.
Skeptic
"We already implemented a fancy MIS. Spent two years, $50k, and doctors still write by hand because the program freezes. Why will it be different with you?"
Because we do not force doctors to work as PC operators. Every past system failed for one reason: it demanded MORE actions from the doctor than paper. In MISS the doctor speaks, not types. We removed the main barrier — keyboard resistance. If your doctor knows how to talk to a patient, they already know how to work in our system.
Legal
"AI will write nonsense, the patient will suffer, and I (CEO) or the Chief Physician will go to jail. Are you ready to bear criminal liability?"
Let us be honest: doctors make mistakes more often than algorithms, but their mistakes are harder to notice. MISS works on the principle of Transparent AI. The model does not "make decisions" — it highlights risks and suggests hypotheses, citing specific lines of analysis. The final signature is the doctor's. But now they sign not blindly, but with a co-pilot who checked the history, labs, and medications in a second. This LOWERS your legal risks, not raises them.
Business
"What if you disappear tomorrow? Or raise prices tenfold in a year when we are already hooked?"
We use open standards. Data is stored encrypted and access-controlled. Export on request — in open formats. We retain clients by product quality, not by holding data hostage.
People
"My doctors are stars with crowns on their heads. They sabotage any innovation. How will you force them?"
We will not force them. We will bribe them. What does a "star" doctor hate? Writing reports. When you say: "Doctor, here is a system that fills out the card itself while you drink coffee, and you go home on time, not at 20:00" — sabotage will turn into a demand to implement this as soon as possible. We sell them life time, not software.
Technical
"We have a zoo of equipment: Ultrasound from Siemens 2010, lab on Sysmex, and accounting on 1C. Are you suggesting we throw it all away?"
No. That would be budget suicide. MISS acts as an intelligence layer. We take raw data from analyzers (via ASTM and HL7), integrate with 1C, and pull everything into a single dashboard. We do not break old hardware — we make it smarter.
Does AI make clinical decisions?
No. AI suggests — diagnosis, orders, treatment plan. The doctor confirms or rejects each suggestion. No action that changes patient data is executed without the doctor's confirmation.
Security
"Where is the guarantee that the patient database will not be stolen and sold to competitors? This happens constantly now."
Most leaks happen because a sysadmin copied a file to a flash drive. MISS implements defence against the inside threat: every clinic's data is isolated at the database level. The action log cannot be modified or deleted — we see who opened every record and when. Patient refunds are the only financial operation that requires two-person confirmation.
Where is data stored?
Data is stored encrypted and access-controlled. Deployment options and data placement are agreed with each clinic individually in the contract.
Adoption
"How long does implementation take? We cannot shut down a clinic for six months."
You do not need to shut anything down. MISS is modular: you can start with scheduling and reception, then add the lab and finance later. Each module is activated by a flag, not a rebuild. Integration with your current systems — 1C, lab analyzers, telephony — runs in parallel with everyday clinic work.
What if you shut down?
Your data is yours. Export in open standards on request. We retain clients by product quality, not by holding data hostage.
Get started
See MISS in your clinic's context
Open the demo tenant and walk through the modules yourself. To discuss a pilot deployment — contact us.