UNIVERSITÀ DEGLI STUDI DI TORINO

Textual data classifier, archiving and analysis system

The Medicali project was born from the adaptation of our technology to medical language. Our classifier was born as a corpus linguistics tool, but compared to the most common tools for the analysis of corpora it is possible to associate numerical values to keys (keywords) and not only the linguistic data (position, part of speech, etc.) .

This quality allows the platform to be very flexible and adaptable to different areas, such as business intelligence or in our case, the digitalization of medical data.

Patent Status

DEPOSITATO

Priority Number

102019000021837

Priority Date

21/11/2019

License

INTERNATIONAL

Market

Medicali is an app that allows you to digitize, classify and make analysable medical data obtained from blood test results, medical prescriptions, therapies, etc. in order to always have data available regardless of the medical facility you need to go to, whether public or private. A solution that helps to overcome the regional limitations of the Electronic Health Record (FSE).

Although Medicali is still in the experimental phase, the potential for national penetration is quite high, as, thanks to the technology developed, it upsets the paradigm of medical data management.

Problem

Medicali allows you to digitize and save medical data in the cloud with a private key and make them usable and digitally analyzed by your doctor or hospital of your choice at any time and for the desired period of time.

Medicali does not simply allow data storage, but is able to recognize and assign keywords and values. Therefore it would be possible to filter the trend of a complete blood count value in a given period of time. Our solution is a cloud one, so it allows you to overcome the limitations and complexities of the ESF.

Current Technology Limits

Archiving of medical data in our country is currently carried out through the Electronic Health Record (FSE). However, this is subject to various limitations that depend in part on the infrastructures and planning and in part on the usability.

Problems of a planning nature: The FSE is developed through two distinct architectures, regional and national, the latter entrusted to the centralized technology of MEF-Sogei. This choice continues to cause perplexity and will have to be reconsidered as part of a strategy for further development and consolidation of the regional – national eHealth system. The FSE does not take into account access to the emergency room. Finally, in the FSE there is no type of qualitative / quantitative analysis system of the collected data, nor support to the doctor with the aid of machine learning algorithms or artificial intelligence.

Usability problems: Several users complain because they have difficulty in use, in this case during access due to the malfunctions of OTP and other authentication systems.

Killer Application

The software to be developed is a cloud platform that will basically present itself as a digital archive for medical data. The data are classified by the system to automatically acquire the aspects related to the diagnostic and therapeutic language.

The aim is to provide doctors with an interface where, for example, the values of all scanned analyzes in a period of (3, 6, 9, [n] months) are displayed, adding the possibility of filtering the results based on to values or families of values.

Our Technology and Solution

Our solution allows you to digitize and save medical data in the cloud with a private key and make them usable and digitally analyzed by your doctor or hospital of your choice at any time and for the desired period of time. Our application does not simply allow data archiving, but is able to recognize and assign keywords and values. So it would be possible to filter the trend of one or more values, for example, the complete blood count in a given period of time. Our solution is in the cloud, so it allows you to overcome the limitations and complexities of the FSE.

Furthermore, in the case of authorization by AIFA, we will also be able – via API – to develop a matching between the information of a digitized medical history and that of the drug agency to provide a useful tool in the choice of therapy.

Advantages

Have a digital copy of our health data that can be easily analyzed by our doctor or hospital.
Help for the doctor in the diagnosis and prescription phase.
Access to basic monitoring of the trend of benchmarks.
A more practical consultation and management of the various parts of the clinical history.
An interchangeability of the format.