Moscow

ClinicIQ

The capabilities of the platform include: fixing an appointment – registration of first-time patients and searching for second-time patients in a database, calls before visits, printing agreements and accords, settlements, SMS reminders. The database is designed in an easy-to-use format with filters by doctors, dates and other categories, electronic cards, patients database import features. The platform offers the option to create patients lists by recent visit date, age, gender, birthday, etc. to facilitate promotions and informing.

Readymade templates for treatment filling – for dental visits and doctors of more than 10 different areas of expertise, reports – graphs, diagrams, tables, with Excel download option. The system allows you to work with statistics, analytical data, reports for a day or period of time, with measurements of the efficiency of doctors and marketing.

Doctor’s schedule – every doctor can have his schedule set up in his phone or tablet. Users can view records, with reasons for visits and appointment time. The platform has a wide range of features – from patient database to invoicing and accounting. It also offers integration with the DocDoc portal and instant messaging service Viber.

medicine

cloud_technologies

Meganom_Data

The system allows you to work with a large database without straining the system performance; the clinic management has tools for flexible control; the system has open code and allows you to work with the system without attracting third-party developers.

 
The smart interface adapts to the needs of different users, it has an entire set of tools that streamline and speed up document routine for doctors. The WEB interface enables you to view an online history of the disease that contains hundreds of records accumulated over the lengthy period of the patient’s attendance.

MGERM

ViSurgery

ViSurgery Studio allows orthodontists and orthognathic surgeons to perform 3D cephalometric analysis of patients: perform arrangement of cephalometric points and carry out cephalometric analysis in automatic mode using neural network algorithms.

The machine learning algorithm allows doctors to set cephalometric points on a crane, soft tissues – on 3D face model, teeth. The doctor controls position of fixed points using the computer tomography data, achieving increased accuracy. Then the application calculates the required cephalometric parameters. Only after a detailed analysis of the received results, the orthodontist makes a final diagnosis and selects treatment method which reduces the risks of possible complications.

ViSurgery Studio

yRisk

yRisk searches for all possible mutations in 42 genes that protect a person from cancer diseases using the NGS technology.

The results of the test are generated in the form of a report that contains the information about cancer development risks and a personalized program of diagnostic research and preventive health procedures.

research

Unim

The solution uses cloud technologies and was made for increasing the efficiency of the morphologic stage of oncology diagnostics, reducing the probability of error and diagnostics time. Digital Pathology consults digitized histological glass slides with specialists around the entire world.

The system offers the following functions: downloading and sending cases (clinical data, histological specimen scanned on any models of scanners, CT, MRI, &nbsp;PET CT images) for consultation, standard tools of working with histological specimen (ruler, specimen marks, rotation), tools for communication with consultants.

Digital Pathology

Zdravprint

Orthoses are created using a patient’s biometric parameters using 3D printing technology. The specialized application transforms the sizes of a patient’s and into a 3D model of an individual orthosis.

The printing time takes from 15 to 90 minutes. Items have an internal three-dimensional structure that makes the thermal molding processing more convenient. The molding of an item to fit a patient takes up to 5 minutes.

3D_printing

TeleMD

The solution is based on the mathematic models of patient representation.

The platform uses a combination of three main technologies: deep learning technologies for processing medical images and combining heterogeneous medical data into a vector that encodes all medical data about the patient; medical ontologies for the preparation of mathematical models and interpretation of the results of using artificial intelligence technologies; presentation of results for automatic annotation of recognizable medical images and mechanism of “attention”, which makes it possible to simplify the evaluation of the reliability of the mathematical model’s performance by a physician.

Software platform for diagnosis and risk analysis of disease development

artificial_intelligence

Robomed

The information system automates and arranges a clinic’s processes by business process modeling.

The system stores all data about a patient in a single electronic medical record, allows it to track the dynamics of changes and perform a full patient care cycle. The system can be used regardless of clinic’s geographic distribution, the input data is drawn into a single database for real-time processing and planning. By activating chatbots in the system, clinics can respond to patients’ routine requests in a timely manner. Portable devices considerably expand response and prevention opportunity.&nbsp;

In November 2018 Robomed Network announced the launch of the first version of its platform with an open distributed register of data on medical service provision. 
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ecosystem

chatbots

blockchain

QRepublik

Smart IDs in the form of bracelets provide medical and contact information about a person from a personal cloud profile in emergency situations. The smart IDs work by scanning a QR code on a bracelet.

The ID notifies relatives and translates data into a local language: when scanning the code, the system identifies what country the event has taken place and offers translation of the information about the bracelet holder into the local language (supports over 70 languages).&nbsp;

The information is saved and updated through a personal account and provided in emergency situations via QR, NFC or chatbots.

telemedicine

A reference book of laboratory research – a reference guide for the physicians of the city’s clinics. It is created after all the laboratories were brought to a single methodology of working, the software is integrated with the Unified Medical Information and Analytical system.

The tool contains the data of several thousand lab research and tests. The information is collected by 12 types of research: clinical, biochemical, immunological, microbiological, genetic, etc. 6 more additional reference guides have been also developed, including “Biological materials”, “Loci”, “The rules of taking biological materials”, “Standard medical reports”.

The reference book helps physicians to decide which laboratory research and in which cases should be assigned. If several physicians have assigned a patient to take the same analyses, the system will inform you that they should be taken only once. The system allows you to print a note instructing a patient on how to prepare for the research.

All the analyses assigned for the patient are automatically synchronized in the system.

Integrated with the Unified Medical Information and Analytical System, the product allows physicians to assign analyses without duplicating them

A reference book of laboratory research

A system for balancing out the busyness of regional physicians’ schedules through predicative analytics using the Big Data product from the Department of Information Technologies (DIT).

The solution aims at balancing out the busy schedules of regional physicians at clinics. It fulfills its purpose by taking account of the following: retaining most of the staff at their current workplaces, patient’s loyalty and his age and gender makeup, calculating the score of a person and predicting the number of visits using available information: age, gender, physical disability, etc. The algorithm would divide physicians into two groups: excessive busyness and insufficient busyness, sorting people out at clinics by the score, consistent regrouping of patients while balancing out the predicted busyness of schedules.

The solution is currently in the design stage.

Balancing physicians’ schedule with predicative analytics

Tech Solutions

ClinicIQ

MGERM

ViSurgery Studio

add your project!
fill out the form

yRisk

Digital Pathology

Zdravprint

TeleMD

Robomed

QRepublik

A reference book of laboratory research

Balancing physicians’ schedule

Tech Solutions

ClinicIQ

MGERM

ViSurgery Studio

add your project!fill out the form

yRisk

Digital Pathology

Zdravprint

TeleMD

Robomed

QRepublik

A reference book of laboratory research

Balancing physicians’ schedule

add your project!
fill out the form