MedicBK

Big Data + Artificial Intelligence


The platform with digital model of patients - AI for Cardiology

Identifies the most significant risk factors

Creates forecasts of events which are likely to happen based on the clinical outcomes

Allows to appoint and plan optimal therapy and select drugs based on efficacy and safety of identified risk factors, special characteristics of patients

Services of the platform create independent ecosystem - accumulation and interpretation of Big Data by algorithms
Training stimulator on virtual patients
Increasing commitment of clinicians to clinical recommendations, shaping knowledge on efficacy and safety of drugs, reducing clinicians' mistakes and updating treatment possibility
Clinical Decision Support System
Objective and complete information on optimal treatment for patients on offline and online appointments (telemedicine) which saves clinicians' time and increases the quality of help

MedicBK is developed by clinicians and for clinicians

Using statistical data, the service allows doctors to make informed choices about the most effective treatment to offer to a particular patient by taking into account their specific risk factors and health profile

MedicBK works by identifying the most significant risk factors of a particular case and provides a range of possible treatment options based on current official guidelines
What sets this software apart from others is that it performs calculations comparing the efficacy and safety of available medication or intervention treatment for a specified condition by using network meta-analysis. Each of the possible treatment options are compared against each other by taking into account the health profile of the patient.

The model is created on databases of patients from randomized clinical trials

FAST UPLOAD AND CALCULATION OF SCIENTIFIC DATA FROM PUBLISHED STUDIES, DATABASES & CLINICAL GUIDELINES

Formulation of the request
Step 1
Clinician fills in MedicBK questionnaire with patient's main characteristics and risk factors of a given disease. Autofill function can be used to generate data from patient`s laboratory records.
Evaluation and selection of treatments
Step 2
The main scales and risk factors of a particular patient are estimated. Comparative calculations of effectiveness and safety of potential drugs/interventions are done.
The information is presented in a user-friendly format with help of forest plots and P-scores. In addition, relevant parts from clinical recommendations documents are provided.

The physician reviews and selects a treatment.
Recommendations
Step 3
Estimated risk factors of a patient and the main scales are presented. Dosage of the chosen drugs with the reasoning behind the decision together with text fragments from clinical recommendations documents such ESC and AHA are also displayed.
Market volume. Cardiology
Ru
USA
D / Fr / UK / It / Sp
China
Population
146 700 000
331 400 000
325 750 000
1 403 800 000
General physicians
163 000
697 000
1 155 355
4 600 000
Patients with cardiovascular diseases (CVD)
44 950 000
121 500 000
30 950 000
200 000 000
Share of patients with CVD from population (%)
31%
37%
10%
14%
Cardiologists
9 145
32 640
22 343
25 240
Patients with CVD per one cardiologist
4 915
3 722
1 385
9 113
Market volume of "Provision and control", per year, USD
44 950 000
121 500 000
30 950 000
200 000 000
Market volume of Training simulator&CDSS, annually, USD
44 950 000
121 500 000
30 950 000
200 000 000

Partnership with sectoral players in order to integrate the platform and create "Big Data Hub"

Integration with EHR, organization of partnership network to sell licenses to clinics: EHR providers, Insurance companies, Ministry of Health
Personification of the therapy based on updated Big Data from the platform will result in constant demand for MedicBK services

Expected market share: 10%-50% from market volume of licenses (table "Market volume")
Creation of Hub ecosystem with data operators, sale of results of processed data
Quality data provide interest to Pharmaceutical companies in R&D and as correlation statistics of selected drugs by clinicians for cohorts of patients

Pharmaceutical companies will also be offered paid advertising of commerce drugs' names in separate department of services "Training stimulator" and "CDSS", whereas on the main page clinicians will be able to see only International Non-commerce Names of drugs

Expected revenue from Pharmaceutical companies corresponds to the level of license revenue and is mirrored to the size of the audience of the platform

History and opportunities

It took 2 years of work of clinicians-researchers to implement the current version with the help of tight partnership with EHRA in Russia

Release about cardiology received high ratings from Russian and overseas experts. Four main nosologies are covered. At the moment a pilot version with the Russian Ministry of Health on the base of "NMIC of Almazov" is in process

Release of Breast Cancer (Oncology) is expected by the end of 2020

Competences of IT specialists of MedicBK allow it to develop in Data Science, Blockchain, Mobile application & messenger

Current costs of modeling of one nosology are: from 2 months (3 developers+2 clinicians-researchers)



MedicBK
creates instruments for broad application of evidence-based medicine and Big Data for every patient


Konstantin Armyanov
СЕО MedicBK
konarm@medicbk.com

Made on
Tilda