Clinical Decision Support System (CDSS)

Training Simulator

Clinical audit
MedicBK services improve adherence to CPGs
Identify the safest and the most efficient treatments for every particular patient
Training Simulator

- More than 100 valid clinical cases for every nosology presented

- Testing and training for doctors and practitioners

- Evaluation of clinical practise guideline (CPG) adherence

- Adherence rating

Clinical Decision Support System (CDSS)

- Evaluating treatments upon every individual patient

- Fast calculation. Results available in 2 minutes

- Unbiased and objective information.

All data is based on CPGs

Producing high-quality evidence-based medical data in under 5 minutes

An equal analysis made by a health professional takes 5-40 hours
complete and objective database
- calculating therapies based on full clinical research databases
- using recognised clinical practice guidelines

patient's characteristics by nosology
- comprehensive check-lists used to evaluate patients and assign examinations
- a dynamic list of the main characteristics for a set of diagnoses
patient evaluation according to clinical guidelines
- data calculating on scales of risk factors
- choosing an optimal therapy considering a patient's risk factors and contraindications

prognosing adverse events

- evaluating treatments efficiency and safety for every patient
- informed choice of therapy by the doctor to improve treatment outcomes

MedicBK automatically determines patients' most significant risk factors, their absolute and relative contraindications. It provides treatment options based on current clinical practise guidelines (ESC & AHA for cardiology, NCCN for oncology).

The program uses a digital patient model to calculate efficiency and safety of available drugs and interventions in comparison with each other and upon a patient's health profile (by network-meta-analysis).

The digital model is built on databases from multi-centre randomised controlled trials.

Training Simulator and Clinical Decision Support System are available for
Chrome, Firefox, Safari

Arterial hypertension
Atrial fibrillation
Heart failure (available Q4 2021)
Coronary heart disease (available Q1 2022)

Breast cancer (available Q1 2022)

About us

It took 2+ years to develop the current version.

MedicBK’s digital patient model was developed by research doctors experienced in CPGs, specialists in modelling and meta-analysis. It was made in close cooperation with EHRA in Russia.

The Cardiology release was highly appreciated by Russian and Western experts, including the President of EHRA.

The service got validation by Russian healthcare system after being tested in the National Medical Research Centre NA Almazov. Clinical study audition of the Centre's registry data showed that using MedicBK services led to a significant change in treatment tactics that improved clinical outcomes prediction.

INTELLIGENCE research outcomes showed a significant impact of MedicBK on treatment tactics that led to forecast outcomes improvement

A retrospective assessment of the adequacy of treatment choice in patients made by MedicBK, National Medical Research Centre NA Almazov, 2020 Identifier: NCT04564118
291 patients took part in the research

2560 - total number of patients with these diagnoses in 2019, Almazov EHR; 20% – inpatient, 80% – outpatient
Audition of Almazov CPG adherence

Registry evalution of Antihypertensive, Anticoagulant and Antiarrhythmic therapy in MedicBK program
Prescriptions made by Almazov centre experts with the use of MedicBK services
Prescriptions were based on the key patients’ characteristics from EHR, previous prescriptions were blinded

92% compliance of EHR prescriptions with clinical guidelines for NOAC

77% of drugs/interventions were changed in relation to initial prescriptions

14 - an average amount of therapeutic combinations available for arterial hypertension (2-36 for every patient), the total amount of INN - 42

31% - more drugs were prescribed (that improved an overall CPG adherence)

advanced technologies for a widespread of evidence-based medicine in daily clinical practice

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