MIT Solve

Solution & Team Overview

Solution Name:

AGROLIS AI, Laboratory Information System for Microbiology

Short solution summary:

Laboratory Information System for the Agricultural Community. What if farmer had all the tools to preliminary diagnose bacterial outbreak and could adjust medicine to resist the bacteria? The tools are here, all is required to give the farmer access.

In what city, town, or region is your solution team based?

Philadelphia, PA, USA

Who is the Team Lead for your solution?

OLEG KONDEL, Ukrainian-American, of Philadelphia, PA, USA – background in creating Anatomic Pathology LIS technology, and engineering in Digital Pathology

Which Challenge Objective does your solution most closely address?

Innovation
Integration
Implementation

What specific problem are you solving?

Solving delay in identifying bacteria, mutation stage, and reaction to treat.

Digitization of a Diagnosis processes, procedures and treatments.

Global Standardization.

Access to information by affected users with limited resources for treatments.

Microbiology DX reports provide the basis of medical treatment. If a location has testing on a sample, microbiology report is standardized, complete with inclusion of reference ranges. However, if a sample is taken for analysis, the resulting report is not standardized. The format of the report and what information is included in that report is dependent on the facility, the region and nature of the practice, the training of the facility in a given practice setting and the memory cells of the user responsible for that report.

Currently for most LIS systems, construction of templates is unordered as to content. Most are retrieved by a name given to it by the individual constructing the template. Thus templates from different services, different diagnoses can be mixed, making expedient and accurate retrieval is difficult. A system using a menu based decision tree for creating, naming and retrieval of templates would greatly enhance completeness, accuracy and timeliness of reports, could also be used for case retrieval for QA and research purposes.

Who does your solution serve, and what needs of theirs does it address?

Microbiology LIS accessible to scientific and non-scientific users (food producers, farmers, etc). Identifying bacteria, mutation stage, and reaction to treat. Access to information by affected users.

Microbiologists are being asked to test samples for numerous new predictive markers. This list grows daily and, in some instances, modifies the use of prior markers of behavior. Present LIS do not have the capacity to remind microbiologists to perform these tests. The delay and/or omission can delay appropriate treatment and ultimately cost lives.

Global Standardization is possible.

AGROLIS AI creates a great input data for a comprehensive library of bacteria, used to identify and keeping track of its mutations and growth, to achieve support for use of customized medicine.

What is your solution’s stage of development?

Scale: A sustainable project or enterprise working in several contexts, communities or countries that is looking to scale significantly, focusing on increased efficiency