Research Institute on Population and Social Policies



The "ecm - value data" project is conceived as a follow-up to the much broader "Continuing Medical Education" project (years 2009-2011)[1], which was implemented in the framework of the CNR - Lazio Region Agreement for the professional updating (Continuing Training) of Free Choice Pediatricians of the Lazio Region and coordinated by the CNR Co-funded Training Programs Office.

This follow-up is financed with the same Lazio Region fund of the previous CME project for Free Choice Pediatricians and is included in the “Population, society, science, culture and globalization” Project Area [dus.ad012] of the Institute.

The overall duration of the CME project - data value is foreseen from 1 February 2018 to 31 December 2022.

The recipients of this intervention are health service operators, particularly Healthcare Managers, Department Managers, Complex Operational Unit and Simple Operational Unit, Administrative Managers of healthcare facilities.

The study is aimed at them, with the materials developed and the publications produced over the years of the project, with the aim of offering, primarily to medical personnel, a contribution to the culture of data enhancement and exploitation.

In the previous - first - year (2018-2019) of the project, an intervention was carried out to promote theinformation literacy in the medical sector.

Three areas for improvement had been observed by the Project Manager in the course of previous scientific activities in the health field:

• knowledge of the cognitive potential that information systems in the availability of doctors offer;

• the mastery of the concepts and techniques of personalized processing;

• awareness of the growing attention and binding legislation for data privacy and security.

[1] “Continuing Medical Education” - ecm: professional updating of Free Choice Pediatricians of the Lazio Region; client Lazio Region (over 450 registered participants, about 18 thousand participant-hours of training enjoyed, budget of over 1 million euros, participant learning indicator equal to 93%, course evaluation indicator equal to 4,0-4,3, 5 out of XNUMX).

The publication "ENHANCEMENT AND PROTECTION OF CLINICAL DATA FOR THE MEDICAL SECTOR"Was produced at the end of this first year, in order to consolidate, make available and disseminate what was developed during the study.

It looks at the three areas of improvement observed and wants to be at the same time:

• a representation of the present state;

• a conceptual and operational aid for improving the information literacy of doctors, aimed at the two major aspects of enhancing and protecting clinical data.

The body of the paper includes three sections:

"Section I: information literacy"

• literacy;

• information literacy;

• information literacy in healthcare.

"Section II: exploitation of clinical data"

• e-health (eHealth) and Big Data;

• the clinical data information system and the electronic medical record (Electronic Medical Records);

• the planning of clinical data with the definition criteria, the temporal variations of the values, the classifications and lists of values, the criticalities and the actions for quality;

• the criticalities and potentialities of the introduction of IT in the ward and the related "research questions".

"Section III: protection of clinical data"

• the privacy and security regulations with notes and comments;

• examples, notes and comments on the methods of implementation of the organizational and technical protection measures.

The paper also includes:

• the "BIBLIOGRAPHY-SITOGRAPHY»Divided by subject and briefly annotated e

• the "APPENDICES»Selected, to offer the typical reader some cognitive and informative references.

An orderly repository of over three thousand sources was also established, including:

• references to basic materials for the different sectors of interest of the Project, produced by national, community and international bodies (national and community rules, standards, concepts, terms, basic notions, ...);

• references to precise conceptual and operational materials, produced by national, EU and international bodies (research, studies, application developments,…).

In this second year (2020-2021) of the Project, a study was carried out on the social, technical and organizational aspects of the new information processing technologies applied to the healthcare sector; the study was centered on the two themes "big data"and "decision-making systems”, Which are clearly prominent in the field of interest.

The next publication "Enhancement of data in healthcare: big data and decision-making systems"Will be produced at the beginning of 2021 in order to consolidate, make available and disseminate what was developed during the year.

The body of the paper will include three sections:

"Section I: new skills / soft skills"

• as necessary professional prerequisites, also drawing on national, EU and international declaratory and programmatic materials;

• data literacy

• data literacy in healthcare.

"Section II: big data"

• as a database with its own peculiarities; specific professionalism; specific theories and technologies;

• technical, social and economic aspects;

• national and community policies and programs.

"Section III: decision-making systems"

• as technological tools exploiting big data;

• for risk assessment, for prevention / diagnosis / therapy uses.

In the continuation of the project it is intended to carry out a third year of study and produce a further publication, the content of which is already outlined in continuity with the second year.

It is also intended to develop a training package for an CME course, with entrance and exit tests, specific teaching material, additional in-depth and reference materials, and to propose the training package to health organizations, trade associations, institutions.

Massimo Cannatà, Fabio Caiazzo, Marco Calcagno, Marco Di Girolamo, Benedetta Lupoli, Andrea Manieri, Roberto Marzilli, Sara Nardini, Arnaldo Sardoni, Vincenzo Scotto di Palumbo, Aikaterini Selntigia, Filippo M. Vinciguerra