Antimicrobial Therapy Algorithms

Abous us

This project is a small medtech startup. Our team consists of two people who do a lot of work to develop each algorithm.

Dmytro Mykhailenko analyses information and develops algorithms. Anton Mymrikov is responsible for the verification and technical part of the project. More information about us is presented on the main site.

The goal of this project is to develop algorithms that will ensure:

Selection of a rational therapy taking into account local conditions (resistance, drug availability, etc.)
Optimizing the use of antibiotics, in order to avoid unnecessary prescription of reserve and inappropriate drugs in a particular situation
Evidence-based prescribing, rather than marketing and promotional information
Systematizing and reviewing available literature to update treatment regimens
Versioning and tracking treatment regimen changes for more accurate clinical decision making
Creating your own interactive algorithms to automate and track physician clinical decisions

How to support us?

At the moment we do not have Pro or Extended versions of the algorithms. You have full access to all the developed algorithms. But to speed up the process of developing and creating algorithms, we need support. Here are possible ways how you can help us:

Share the link to the algorithms (https://alg.infectiontreat.com) with your colleagues
Fill out an evaluation form to give us feedback
Suggest fixes, additions or improvements (Send you feedback by email: support@gxpcluster.com)
Make a financial donation, which will allow us to hire more people to process the information and also allow us to buy paid research articles (See Donation links below)
Send us your research article or paper, if you are the author and can share it
Order from us the service of developing interactive algorithms for your clinic or private practice

Donation links

General Information

The main functional elements of the interface and their purpose in using the algorithms are described in this User Guide.

The interface is well suited to mobile devices and one-handed use, and we have tried to make it as simple and intuitive as possible.

Interface Structure

The interface has three functional parts:

The menu at the top of the screen, which includes:
- About - This menu contains brief information about the project's authors and support options.
- Contacts - This menu contains information about how to contact us.
- User Guide - The link to this guide.
- Legal - This menu contains Terms and Conditions and Privacy Policy.
- Version History - This menu contains a list of releases and basic information about each release.
The target algorithm selection area and the algorithm itself area (hidden by default) are located below the main menu.

Let's stay with the consideration of the area of the algorithm. It includes tabs with information about the algorithm (Brief description, Literature review, References, and Change history) and the algorithm itself.

The algorithm consists of sequentially opening blocks that contain clarifying questions, answers, and therapy options. The blocks may also contain buttons with notes (like this ). Clicking on this button opens the corresponding note in the modal window without closing the algorithm. A note contains additional information about studies, administration, authors' and other researchers' considerations.

The blocks in the algorithm can be of the following types:

Start block (blue) contains the initial question to start the algorithm.

Algorithm start block

Visual arrow of movement by algorithm

A block (green) with an important note or information to take into account when answering the question in the block following it.

Block with important information or important notes

Question block (white) contains a clarifying question and possible answers. Clicking on the appropriate answer will open the next block with a question or a block with therapy options.

Block with the following question and answer options

Block of therapy options and question (orange) is a special block that contains therapy options that may or may not become final. For example, when you reach this block, it is recommended that you use the therapy listed in it first, and only if it has no effect, move down the algorithm tree to the very last block with the final therapy options.

Type of therapy or specific therapeutic actions or options...

Specific therapeutic regime with additional information and notes ← Click such a button to read more information from the note

Recommended therapy

Ertapenem infusion 1.0 g/0.5 h q24h

A clarifying question in case the therapy in this block has no effect.

The block with therapy options (purple) contains possible therapy options, recommendations, and instructions for a given case. It is the final block of a particular branch of the algorithm.

Oral therapy is recommended

Optimal therapy

Amoxicillin 500 mg per os q6h

or

Amoxicillin 750 mg per os q8h

In case of allergy to all beta-lactams

Moxifloxacin 400 mg per os q24h

Let's start using the algorithm!

Select the desired algorithm from the "Algorithm selector" drop-down list.
The selected algorithm opens below. Its tabs with information and the starting block with the initial question will be displayed.
By clicking on the most relevant answers for your situation, you will begin to move through the tree of the algorithm. Selected answers will be marked in yellow. You can always go back to any block and choose another answer. In this case, all blocks and selected answers will be cleared and you will start to move on another branch of the algorithm.
If you have reached the orange block, you should consider the therapy options indicated in it. If the therapy option chosen in this block has no effect, then you should continue to move on this branch of the algorithm.
If you have reached the purple block, you should use the recommendations and therapy options listed in it. A block of this type is the last block in each branch. If the recommendations in it do not work for you, then you are dealing with an exceptional case. For complicated cases, we recommend contacting your IDS or contacting us.

Abbreviations

In the text, you may encounter abbreviations that are highlighted in the background color. Like this - EI. To see the meaning of the abbreviation just click on it or hover your mouse cursor over it and the meaning will appear in the tooltip.

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Anti-infective Therapy Algorithms