Integrating 1C-Bitrix with 1C:Medicina via HTTP Services for Online Booking

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Integrating 1C-Bitrix with 1C:Medicina via HTTP Services for Online Booking
Medium
~1-2 weeks
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When launching online booking in a medical center on 1C-Bitrix, one common issue arises: 1C:Medicina doesn't provide real-time data. Doctors manage schedules in 1C, but on the website it updates only after hours. Synchronization via file exchange or direct database queries to 1C leads to errors and delays. We solve this through HTTP services — a modern protocol that ensures seamless system interaction.

1C:Medicina is a family of configurations for medical organizations: "Hospital", "Polyclinic", "Medical Laboratory". These configurations run on the 1C:Enterprise 8 platform and, unlike most other MIS, are well-known to developers working in the 1C ecosystem. Our experience includes over 10 years of 1C-Bitrix integrations with MIS, with more than 50 projects implemented in medical institutions. The development cost depends on the complexity of the configuration and the number of synchronized directories, but a properly designed integration allows reducing a clinic's operational costs through booking automation.

Why HTTP Services are Better Than COM Object?

COM object — a direct call to 1C from PHP via new COM(...). It only works on a Windows server and scales poorly. With parallel requests (5+ patients simultaneously), lockups occur, resulting in a 3–5 times performance drop compared to HTTP services. HTTP services are not tied to the OS, support asynchronous processing, and caching on the Bitrix side. Intermediate database — an alternative if 1C already exports data to PostgreSQL/MySQL, but it does not provide bidirectional online exchange. HTTP services are the preferred option.

Method Speed Reliability Complexity
1C HTTP services High High Medium
COM object Medium (degrades under load) Low (lockups) Low
Intermediate DB Low (asynchronous) High High

HTTP Service in 1C:Medicina

In the 1C configurator, an HTTP service is created (Common → HTTP Services):

Name: MedicalAPI
RootURL: /medapi
Version: 1.0.0

Methods (URL templates):

  • GET /medapi/doctors — list of doctors
  • GET /medapi/schedule/{doctorId}/{date} — doctor's schedule
  • POST /medapi/appointments — create an appointment
  • DELETE /medapi/appointments/{id} — cancel an appointment

Handler method in 1C (built-in language):

Function GetSchedule(Request)
    Response = New HTTPServiceResponse(200);
    Response.Headers["Content-Type"] = "application/json; charset=utf-8";

    DoctorID = Request.URLParameters["doctorId"];
    SessionDate = Date(Request.URLParameters["date"]);

    // Query to the schedule register
    Query1C = New Query();
    Query1C.Text = "
    |SELECT
    |    DoctorSchedule.StartTime,
    |    DoctorSchedule.EndTime,
    |    DoctorSchedule.CellStatus,
    |    DoctorSchedule.ClinicRoom
    |FROM
    |    AccumulationRegister.DoctorSchedule AS DoctorSchedule
    |WHERE
    |    DoctorSchedule.Doctor.UniqueIdentifier = &DoctorID
    |    AND DoctorSchedule.Date = &Date
    |    AND DoctorSchedule.CellStatus = Enum.CellStatuses.Free";

    Query1C.SetParameter("DoctorID", DoctorID);
    Query1C.SetParameter("Date", SessionDate);

    Result = Query1C.Execute().Select();
    Slots = New Array();

    While Result.Next() Loop
        SlotData = New Structure("start,end,cabinet");
        SlotData.start   = Format(Result.StartTime, "DF=HH:mm");
        SlotData.end     = Format(Result.EndTime, "DF=HH:mm");
        SlotData.cabinet = Result.ClinicRoom.Number;
        Slots.Add(SlotData);
    EndLoop;

    Response.SetBodyFromString(WriteJSON(Slots));
    Return Response;
EndFunction

PHP Client for 1C:Medicina HTTP Service

class OneCMedicinaClient
{
    private string $baseUrl; // http://1c-server:8080/medicina/hs/medapi
    private string $username;
    private string $password;

    public function getSchedule(string $doctorGuid, string $date): array
    {
        return $this->request('GET', "/schedule/{$doctorGuid}/{$date}");
    }

    public function createAppointment(array $data): array
    {
        return $this->request('POST', '/appointments', [
            'slotDate'    => $data['date'],
            'slotTime'    => $data['time'],
            'doctorGuid'  => $data['doctor_guid'],
            'patient'     => [
                'lastName'   => $data['last_name'],
                'firstName'  => $data['first_name'],
                'middleName' => $data['middle_name'] ?? '',
                'birthDate'  => $data['birth_date'],
                'phone'      => $data['phone'],
                'email'      => $data['email'],
                'snils'      => $data['snils'] ?? '',
            ],
            'serviceCode' => $data['service_code'] ?? '',
        ]);
    }

    private function request(string $method, string $path, array $body = []): array
    {
        $ch = curl_init($this->baseUrl . $path);
        curl_setopt_array($ch, [
            CURLOPT_RETURNTRANSFER => true,
            CURLOPT_CUSTOMREQUEST  => $method,
            CURLOPT_USERPWD        => "{$this->username}:{$this->password}", // Basic Auth in 1C
            CURLOPT_HTTPHEADER     => ['Content-Type: application/json; charset=utf-8'],
            CURLOPT_POSTFIELDS     => $body ? json_encode($body, JSON_UNESCAPED_UNICODE) : null,
            CURLOPT_TIMEOUT        => 10,
        ]);

        $json     = curl_exec($ch);
        $httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
        curl_close($ch);

        if ($httpCode !== 200) {
            throw new \RuntimeException("1C:Medicina API error {$httpCode}");
        }

        return json_decode($json, true) ?? [];
    }
}

Important: 1C:Enterprise by default does not support parallel requests to a single infobase without client connection licenses. Under high load, a connection pool or caching on the Bitrix side is required.

How to Synchronize Directories Without Duplicates?

The list of doctors, their specializations, rooms — we sync from 1C to a Bitrix infoblock. The key parameter is the doctor's unique identifier (GUID) from 1C. It is stored in the infoblock property, and during re-synchronization we do not create duplicates but update existing elements. A typical mistake is losing the link between records when the identifier changes in 1C. We use the internal property DOCTYPE_GUID and a lookup logic based on it.

class OneCMedicDoctorSync
{
    public function syncDoctors(): void
    {
        $doctors = $this->onecClient->request('GET', '/doctors');

        foreach ($doctors as $doctor) {
            $existingId = $this->findDoctorByGuid($doctor['guid']);

            $fields = [
                'NAME'           => $doctor['fullName'],
                'ACTIVE'         => $doctor['active'] ? 'Y' : 'N',
                'IBLOCK_ID'      => DOCTORS_IBLOCK_ID,
                'IBLOCK_SECTION_ID' => $this->getSpecializationSectionId($doctor['specialization']),
            ];

            $props = [
                'DOCTOR_GUID'        => $doctor['guid'],
                'SPECIALIZATION'     => $doctor['specialization'],
                'CABINET_NUMBER'     => $doctor['cabinet'],
                'EXPERIENCE_YEARS'   => $doctor['experienceYears'],
                'ACADEMIC_DEGREE'    => $doctor['academicDegree'],
            ];

            if ($existingId) {
                $el = new \CIBlockElement();
                $el->Update($existingId, $fields);
                \CIBlockElement::SetPropertyValuesEx($existingId, DOCTORS_IBLOCK_ID, $props);
            } else {
                $el = new \CIBlockElement();
                $newId = $el->Add(array_merge($fields, ['PROPERTY_VALUES' => $props]));
            }
        }
    }
}

What Data is Synchronized Between 1C:Medicina and Bitrix?

Data Direction Frequency
Doctors (name, specialization, room) 1C → Bitrix On event (change in 1C)
Schedule (time slots) 1C → Bitrix Less often: every 5-15 minutes
New patient appointment Bitrix → 1C Instant (online)
Appointment cancellation Bitrix → 1C Instant
Services and prices 1C → Bitrix Scheduled (once a day)

What's Included in the Work

  • Analysis of the specific 1C:Medicina configuration and available registers
  • Development of the HTTP service on the 1C side (jointly with a 1C developer)
  • PHP client for the HTTP service with caching (tagged caching)
  • Synchronization of the doctor directory to the Bitrix infoblock
  • Online booking component with a form (validation, slot selection)
  • Patient notifications via SMS/email after booking
  • Integration documentation and training
  • 3 months of warranty support
Checklist of Typical Project Phases
  1. Audit of the 1C:Medicina configuration and data schema
  2. Design of the REST API (HTTP service)
  3. Development and testing of the HTTP service in 1C
  4. Creation of the PHP client and Bitrix components
  5. Integration testing (up to 2 weeks)
  6. Launch and support (3 months warranty)

Timeline: 6–10 weeks when a 1C developer is on the team. Development of the HTTP service on the 1C side takes 2–4 weeks, the PHP part takes 3–6 weeks. A properly designed integration saves budget on support and reduces administration costs. Get a preliminary assessment of your project — we will analyze the configuration and propose a solution. Contact us.

CommerceML: Why Standard Exchange Is Both a Lifesaver and a Trap

Standard exchange via CommerceML 2.0 on typical "Trade Management" or "Comprehensive Automation" can be set up in a day or two. Products, prices, stock, orders—all via XML files on a schedule. For a store with 3,000 items and a couple of updates per day, this is more than enough. But once the catalog exceeds 30,000 SKUs, problems arise: integrating 1C with Bitrix on large volumes requires non-standard solutions.

Why does CommerceML slow down with catalogs over 100,000 items?

bitrix_1c_exchange.php generates XML on the Bitrix side, and 1C retrieves and parses it. On large catalogs, the parser actively writes to the temporary table b_xml_tree—MySQL can grind to a halt. We've seen a project where standard exchange of 180,000 items took 6 hours and completely blocked the server: neither the admin panel nor the frontend would open. The solution is incremental exchange. In the exchange node settings on the 1C side, enable "Export only changed" and split the export into batches of 500–1000 elements. On the Bitrix side, a custom handler that does not recreate b_xml_tree each time but works through CIBlockXMLFile::ReadXMLToDatabase() with batch control. A catalog of 200,000 SKUs updates in 8–12 minutes.

Another pitfall is EXTERNAL_ID. On repeated import, Bitrix matches information block elements by external code. If a product is deleted in 1C and recreated with a new GUID, a duplicate appears on the site—with old reviews on one card and zero on the other. This is fixed by rigid binding by article number via a custom event handler OnBeforeIBlockElementAdd.

How to avoid duplicates during repeated import?

We bind products not by GUID but by article number. Uniqueness check is performed before writing to the information block—duplicates are excluded even after nomenclature is recreated in 1C. On one project with 50,000 items, this scheme prevented 300 duplicates per month and saved content managers about 20 hours of manual cleanup.

Custom 1C Configurations: When CommerceML Falls Short

"We have a standard configuration"—says every second client, and then we open the database and see 200 custom processing routines, renamed attributes, and custom sales documents. CommerceML works with a fixed XML structure. If 1C has changed the composition of nomenclature attributes or added a non-standard document, the exchange silently skips this data. Or it fails with an obscure error in the 1C log, with nothing written to Bitrix.

In such cases, we implement custom export. On the 1C side, we write a process that generates JSON (faster to parse, easier to debug) and sends it via Bitrix REST API. Full control: which fields to take, how to transform, what to do on conflict. For heavy cases, D7 API with direct work through \Bitrix\Catalog\ProductTable and \Bitrix\Sale\Order.

Criterion CommerceML (Standard) Custom REST (JSON)
Speed on 100,000+ SKUs Low (full XML) High (incremental JSON)
Schema flexibility Fixed Arbitrary
Expansion capability Limited Unlimited
Ease of debugging 1C log HTTP request logs, Postman

What are the key steps to set up 1C integration?

Custom REST is justified when:

  • Non-standard nomenclature attributes;
  • Multiple price types (retail, wholesale, dealer, promotional, regional, currency)—standard exchange sends only one type;
  • Multi-warehouse with different stock levels and need to select a warehouse on the site.

Prices, Stock, and Multi-Warehouse

Standard exchange can transfer one price type. In reality, there may be 15: each with its own buyer group and priority. Mapping between 1C price groups and Bitrix user groups is a separate engineering challenge. Especially when discounts overlap and you need to determine which price wins.

Multi-warehouse adds another layer: product is in stock in Moscow, out of stock in St. Petersburg, and "on order" in Novosibirsk. The site must show availability per location, allow selection of pickup points, and calculate shipping from the nearest warehouse where the product is physically available. The standard Bitrix warehouse module (catalog.store) handles display, but we write the "which warehouse to ship from" logic separately. For one manufacturing holding, we implemented a custom stock aggregator that calculated balance across 8 warehouses in 2 seconds—reducing shipping errors by 80%.

Orders and Document Flow

An order from the site goes to 1C, a sales document is created, goods are reserved. Statuses come back. The main nuance is partial shipment: the client ordered 5 items, 3 are in stock, 2 will arrive in a week. 1C creates two sales documents. Bitrix out of the box cannot split one order into several shipments—we extend the OnSaleOrderSaved handler to create child orders and synchronize statuses for each.

Documents in the personal account—invoices, acts, waybills from 1C—are served via REST; PDF is generated on the 1C side and cached on CDN. The buyer downloads not from 1C directly (that would kill the server) but from cache.

Batch import with portion control reduces MySQL load and prevents locks (source: Wikipedia).

Monitoring: Not "Set and Forget"

Exchange can silently break: the script ran, no errors in log, but 200 products didn't update due to invalid UTF-8 in the name. Or 1C changed the date format in an update—all prices came in as zero.

Minimum set we install on every project:

  • Telegram alert if exchange time increases 3+ times from average.
  • Stock discrepancy check: script compares b_catalog_product.QUANTITY with what 1C provides, and alerts when delta exceeds 5%.
  • Dashboard: last sync, number of processed items, queue, errors.

For high-load projects, we add async queues on Redis or RabbitMQ. Exchange does not block the web server, data is not lost during temporary 1C outages. On one online store with 2 million orders per year, we implemented this scheme—recovery time after failures dropped from 3 hours to 10 minutes.

Linking with Bitrix24 for Document Flow Automation

If besides the site there is a corporate portal on Bitrix24, we link it too. Counterparties from CRM go to 1C, invoices from 1C appear in deal cards. The manager sees accounts receivable and mutual settlements without switching windows. Deal closed—documents generated automatically.

Payment received in 1C → logistician gets a task for shipment in Bitrix24. Goods shipped → manager sees notification. Automatic tasks based on events from 1C—via Bitrix24 REST API webhooks. This link reduces manual entry by 70% and eliminates forgotten shipments.

How We Set Up Integration: Step-by-Step Process

  1. Audit of 1C Configuration. Review the structure of directories, documents, attributes. Identify custom modifications. Assess data volume (number of SKUs, orders, warehouses).
  2. Design Exchange Schema. Agree on data set: products, prices, stock, orders, documents. Determine sync interval and mechanism—CommerceML or custom REST.
  3. Configure Standard Exchange. Set up CommerceML, batch mode, binding by article. Verify data transfer correctness on a test catalog.
  4. Extended Integration. For complex configurations, write custom handlers on both 1C and Bitrix sides. Incorporate multi-warehouse, multiple prices, partial shipment.
  5. Monitoring and Warranty. Set up alerts, dashboard, documentation. Train operators. After launch, warranty support.
Typical exchange settings for a catalog of 50,000 SKUsBatch mode: 500 elements per step. Binding by article. Sync period: every 15 minutes. Use Bitrix agents with tagged caching. On 1C side, JSON generation processing instead of XML to speed up.

Timelines and What's Included

Stage Description Estimated Duration
Analysis Audit of 1C configuration, exchange structure, current issues 1–2 days
Schema Design Agree on data set (products, prices, orders) and architecture 2–5 days
Standard Exchange Setup Configure CommerceML, batch mode, binding by article 1–2 weeks
Extended Integration Custom REST, multi-warehouse, multiple prices, partial shipment 2–4 weeks
Full Custom Integration 1C + site + Bitrix24, async queues, monitoring 1–2 months

Work results include: documented exchange schema, configured synchronization scenarios, monitoring dashboard, operator training, and warranty support after launch. Pricing is calculated individually—it depends on the complexity of the 1C configuration, catalog size, and required automation level. We'll evaluate your project in 1 day—write to us, let's discuss. Order integration and get stable exchange in 1–2 weeks.

We have completed over 50 1C integrations for online stores and manufacturing companies. The team's average experience is 7 years, and we have certified 1C-Bitrix specialists. Our experience ensures that the exchange won't break in the first month and will run stably for years. For example, on a project with a catalog of 50,000 items, automation of exchange saved the client significant operational costs annually.

Contact us for a free audit of your 1C configuration—we'll find bottlenecks and offer the optimal solution.