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Medical Information System

One system instead of six. AI at the foundation.

MISS is a medical information system where reception, laboratory, cashier, call center, marketing, and analytics are connected to each other — and governed by the AI agent Cortex.

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The problem

Clinics run on six systems that never talk

A typical clinic in Kazakhstan uses a laboratory system, a clinical MIS, a cash register, a CRM, and Excel spreadsheets simultaneously. Data is duplicated, lost between systems, and no executive can see the complete picture. None of the incumbent systems — Medialog, 1C:Medicine, Aurora, Terra Pro — offer an AI agent that works with actual clinic data. At best, they provide static templates.

From 12 July 2026, every healthcare entity in Kazakhstan must operate a certified Medical Digital System connected to the national Risk Management System. The market is consolidating. Clinics that delay the transition face licensing risk.

Interoperability

A morning at the clinic — from phone call to report

8:30 — A call comes in. The operator sees the incoming call on the live supervisor dashboard, picks up. The patient wants a cardiologist. The operator searches the MPI, finds the patient in five seconds, books a 12:00 slot — service, physician, slot, payment method — in one minute.

11:55 — The patient arrives. The receptionist marks arrival with one click. The card moves to “Waiting Room,” the timer starts.

12:05 — The physician opens the patient card. SOAP notes, allergies, vitals, medications, lab results — all on one screen. Orders a lab panel.

12:30 — The lab technician sees the order in the LIS worklist. Scans the tube barcode, enters results. The system instantly flags: potassium 6.8 — critically high. The critical-value protocol fires: notification to the physician, read-back confirmation required.

13:00 — The cashier accepts payment: cash plus card in one receipt. The fiscal device confirms — green “Device Online” bar.

End of day — The CFO opens the RCM dashboard: aging receivables, denial rates by payer, bank reconciliation with auto-matched transactions. The marketing director opens the attribution cockpit: 850 leads with sources, Instagram brings volume, the partner channel converts twice as well. The call center director reviews the load heatmap and SLA.

One system. All data connected. No switching between programs.

Platform

Seven modules, one architecture

The entire queue on one screen, in real time

Columns — “At Registration / In Waiting Room / In Consultation” — update instantly via WebSocket. Patient booking from phone call to confirmed slot in one minute: MPI search, service with price, available physician slots, payment method.

Complete patient card on one screen

Structured SOAP notes in Russian and Kazakh. Problems, allergies, vitals, medications, lab results with HIGH/LOW flags — all in one card. Automatic allergy warnings.

From tube to result — no paper, no manual transfer

Worklist with priorities (STAT/ROUTINE), barcode scanner, result entry with instant automatic validation against reference ranges. Quality control dashboard with Levey-Jennings charts. Critical values tracked until physician read-back confirmation.

Receivables, denials, and cashier in one circuit

Revenue cycle dashboard: days in receivables, denial rate, collection by payer. Automatic match suggestions during bank reconciliation. Fiscal circuit with payment terminals — everything in one receipt, shift closed with one button.

Live supervisor dashboard — who is on the line, who is overloaded

Incoming calls appear on the supervisor screen in real time (SSE). Load heatmap by hour and day. KPIs: AHT, ASA, abandonment rate, CSAT. Missed calls automatically become callback tasks. Telegram chats with SLA tracking.

Every lead has a source. Every channel has a cost

Attribution cockpit: how many leads came from each channel (Instagram, Google Ads, partners, website), conversion to appointment, cost of acquisition. Lead funnel by stage: from first contact to visit. Campaigns (SMS, Telegram) with automatic patient-return triggers.

Metrics, reports, and dashboards — without a developer

Catalog of 20+ metrics with formulas over clinic data. Scheduled reports with run history. Configurable dashboards. Cortex can create a new widget from a single sentence — “show me Instagram lead count for the month” — and add it to the board.

Artificial Intelligence

Cortex — an agent, not a chatbot

Cortex is the AI agent built into MISS. Not a chatbot that answers questions, but an agent that sees clinic data and takes actions with user permission.

BI authoring on demand

The marketing director types: “Show leads received this month by channel.” Cortex creates the metric, computes it on real data, and adds a widget to the dashboard — no developer, no SQL.

Clinical decision support

A physician asks: “Patient has CKD stage 3, diabetes, and a new UTI. Which antibiotics are safe?” Cortex checks GFR, current medications, the formulary, and suggests an antibiotic with renal dose adjustment.

Automated workflows

Five automated workflows: discharge, hospitalization, critical values, referrals, insurance denial appeals. Cortex chains up to 15 tools in a single interaction — every mutating step awaits physician confirmation.

90 clinical tools across 26 domains, 9 RBAC roles, 5 automated workflows.

Credibility

Built on working software

Integrated modules

7


Reception, EMR, LIS, Finance, Call Center, Marketing, BI — one login, one database.

Cortex clinical tools

90


Across 26 medical domains with role-based access control.

Interface languages

3


Russian, Kazakh, English — full UI localization.

MISS is deployed at a working clinic in Central Asia, replacing a combination of Aurora, Terra Pro, and Bitrix24. The accreditation module has been demonstrated to international accreditation leadership. All demo videos are filmed on working software.

Get started

See MISS in your clinic’s context

We offer guided demonstrations, pilot partnerships, and early-access programs for clinics preparing for the MCS requirement. No obligation, no pressure.

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