One ecosystem for clinics and patients
The clinic ecosystem: eight modules that work with one patient record, one database, and one AI agent, Cortex. What sets MISS apart is not any single module — it is that they all actually work together. Implementation starts with one module — the rest switch on by flag, with no clinic shutdown.
Architecture
When a test result is in one system and the patient chart in another, the doctor doesn't see a critical value at the moment it matters. When marketing data lives in a spreadsheet, no one knows which channel brings patients. MISSMedical Information System and Services eliminates these gaps architecturally: every module reads and writes to one data layer.
The same data layer feeds the patient app: the patient's morning self-report is already in the chart when the doctor opens it — no call, no asking again. The architecture is built for how clinics actually work: fiscal integration and clinical documentation on the SOAP structure.
Scheduling
The entire queue on one screen, in real time. Columns update instantly via WebSocket. Booking from call to confirmation in one minute: MPI search, service with price, available doctor slots, payment method. Smart slot ranks doctors by availability and marks the best option with trade-off labels.
EMR
Full patient chart: complaints, examination, diagnosis, plan — on one screen. Structured SOAP notes in Russian and Uzbek. Three input methods: per-field voice dictation, manual entry, ready templates. AI suggests diagnosis (primary, competing, comorbid) with ICD-10 code and treatment plan. Nothing is written automatically.
LIS
From tube to result — no paper, no manual transfer. Worklist with priorities (STAT/ROUTINE), barcode scanner, results entry with instant automatic validation against reference ranges. QC dashboard with Levey-Jennings charts. Critical values tracked until physician acknowledgment with read-back.
The demo shows the ordering side: a doctor orders labs from the visit chart.
Finance
AR, denials, and cashier — in one circuit, not in spreadsheets. Revenue cycle dashboard: days in AR, denial rate, collection by payer. Automatic match suggestions during bank reconciliation. Fiscal circuit with E-Pos, Payme, Click, Uzcard, Humo — all in one receipt. The system won't accept an amount greater than the balance. Refunds: one person creates the request, another confirms.
Call Center
Live supervisor dashboard: who is on the line, who is overloaded, where SLA is breached. Load heatmap by hour and day. KPIs: AHT, ASA, abandonment rate, CSAT. Missed calls automatically become callback tasks. Telegram chats with SLA tracking.
CRM
Every lead has a source. Every channel has an acquisition cost. You can't fix the funnel after the fact. Attribution cockpit: leads by channel, conversion rate. Campaigns (SMS, Telegram, WhatsApp, email) with automated patient return triggers. Approved template library — the operator cannot write anything on their own.
BI
Metrics, reports, and dashboards — no developer, with AI assistance. Metric catalog with formulas over clinic data. Scheduled reports with run history. Customizable dashboards. Cortex can create a new widget from a single sentence — 'show leads from Instagram for the month' — and add it to the board.
Formalizer
The doctor writes the content; the layout and form are part of the brand — that's the clinic's responsibility. Template library in three languages: immutable built-in and editable copies. Constructor with live preview. Coded diagnosis for DMED, completeness check, per-edit review. The document is assembled on the fly — it doesn't exist as a stored file anywhere. PDF delivered via SMS or Telegram.
AI at the core
Most 'AI assistants' in healthcare are chatbots. They answer questions. Cortex is fundamentally different — it sees clinic data across all modules and takes actions with user permission. 90 clinical tools across 26 domains, 9 RBAC roles.
Honest answers
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 MISSMedical Information System and Services (Medical Information System and Services) 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.
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.
No. That would be budget suicide.
MISSMedical Information System and Services 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.
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.
You do not need to shut anything down. MISSMedical Information System and Services 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.
Your data is yours. Export in open standards on request. We retain clients by product quality, not by holding data hostage.
Open the demo tenant and walk through all modules yourself on working software.
