Last June 29, the researcher Fabrizio Pecoraro of the Health and Society group of IRPPS participated in the 𝐜𝐚𝐫𝐚. The conference was an opportunity to discuss the opportunities opened up by decree of 28 September 2023 for the innovation of the National Health Service, guided by the transition towards new technological infrastructures dedicated both to Telemedicine, i.e. the set of health services that can be carried out remotely thanks to the use of innovative technologies, and to the File, which allows the collection digital of the patient's clinical history. 

Pecoraro's contribution focused precisely on the Electronic Health Record, underlining the need to develop a tool that contains structured information and that is interoperable with other health information systems. Furthermore, the Dossier will have to play a role not only in supporting treatment, i.e. facilitating patient care and diagnosis and treatment operations between different professionals and healthcare facilities, but also providing data to decision makers and the research world for studies of an epidemiological and government nature.  

It's possible listen to the speech again here of the researcher.  

The latest article is dedicated to the experience of users of a Telemedicine service tested at the San Giovanni Addolorata Hospital in Rome. Working paper of IRPPS to which the Health and Society group contributed. You can read it here.  

To facilitate collaborations in academia and clinical practice, HIN (Health Issue Network) – project born within the group Health and Society of IRPPS -has recently been registered as a trademark.

Hin is a method which facilitates the clinical reasoning and improves the training of students and professionals in the healthcare sector (both in human and veterinary medicine). 

Fabrizio Pecoraro (CNR-IRPPS) traces the salient points of the project in a audio-abstract.

Find out more on the site https://www.healthissuenetwork.org/ita/home

And on the working papers:

• Antonio D'Uffizi, Fabrizio L. Ricci, Fabrizio Pecoraro, Oscar Tamburis (2023). The flexibility of a clinical case (a HINe diagram) Rome: National Research Council Institute for Research on Population and Social Policies, (IRPPS Working papers n. 14 2 202 4, p. 2 0

• Antonio D'Uffizi, Fabrizio L. Ricci, Fabrizio Pecoraro, Daniela Luzi, Giuseppe Stecca, Fabrizio Consorti, Fabrizio Murgia (2023). UA Complexity Measure for Clinical History Models. Rome: National Research Council – Institute for Research on Population and Social Policies, (IRPPS Working papers n. 138/2023, p. 20).
  
• Ricci, F. L., Pecoraro, F., Luzi, D., Consorti, F., & Tamburis, O. (2020). HIN (Health Issue Network). Health Issues Network. Use of Petri nets for medical science education. IRPPS Working Papers1-140.

The new call for paper of the magazine Welfare & Ergonomia, edited by Alberto Pesce and Veronica Valenti, is dedicated to “Investing in the social reintegration of prisoners: trends and new perspectives of Italian welfare” .

You can submit your proposal by 29 March 2024, sending an abstract of approximately 3000 characters (including spaces).

All information is available in call document.

Welfare & Ergonomics is a magazine in Class A (Anvur), published by Franco Angeli editore, on the editorial project and direction of IRPPS (thanks to the researcher Antonella Ciocia).

 By way of example, contributions for the edition in question may concern:

• the socio-health aspects resulting from overcrowding both at a collective and individual level;
• the importance of caring for loved ones in prison to gather suggestions with a view to reform;
• the reciprocal relationship between forms of restorative justice and social reintegration;
• the importance of prison education and professional training courses;
• the analysis of best practices Italian or European and aimed at promoting training, placement and job hiring;
• the analysis of traditional welfare models and their implementation towards people deprived of liberty, with attention also to new models or which concern prisoners or former prisoners;
• the analysis of legislation and jurisprudence regarding the social and work reintegration of prisoners;
• the critical analysis of the role of local authorities and private social organizations in guaranteeing training, placement and employment;
• the analysis of best practices territorial or tested in individual penitentiary institutions;
• the analysis of the factors that lead to relapse: 
• the analysis of state and regional spending aimed at promoting social and work inclusion paths;
• the treatment of resigning prisoners who have reached the end of their sentences;
• the impact of new technologies, such as artificial intelligence, or neuroscience on the social and work reintegration of detained people.

9 October 2023 – h. 10.00

Sala Europa, IRPPS via Palestro 32 – Rome

Abstract

Artificial Intelligence (AI) is transforming people's lives in unprecedented ways. AI models have human or superhuman abilities in multiple tasks, eg, gaming, driving, conversation, and content organization. In biomedical research, however, AI demonstrated as much promise, eg, in molecular drug design, as much disappointment, eg, in clinical drug repurposing or public health intervention. One of the reasons is that the datasets AI feeds on – sourced from real world databases such electronic health records (EHR) – are often littered with bias. Such bias might be irrelevant to predict the happening of health conditions, but it influences any strategy to prevent such conditions from happening. In this talk, we will take a dive into the promises and perils of AI in healthcare, and its troubled relationship with data, bias, and causality. We will explore novel causal AI methodologies able to both provide accurate individual health predictions as well as interventions. Finally, we will present use cases of causal AI on large, integrated EHR data, and an eagle's view of EHR consortia in the USA.

Short biographies

Mattia Prosperi, PhD, FAMIA, is Professor in the Department of Epidemiology, and Associate Dean of AI and Innovation in the College of Public Health and Health Profession at University of Florida. His background is in computer science engineering, with expertise in machine learning, bio-health informatics, and epidemiology. His research leverages technology and data intelligence to develop prediction and intervention models for improving future health and lives. In his administrative role di lui, his mission di lui is to expand AI infrastructure, training, research and expertise capacity in public health and health professions.

Yi Guo, PhD, is Associate Professor in the Department of Health Outcomes, Policy and Biomedical Informatics, College of Medicine, University of Florida. He has a multi-disciplinary background in the analysis of real-world data, including electronic health records and administrative claims, experimental and observational study design, predictive modeling (eg, statistical and machine learning), causal modeling, and analysis of patient-reported outcomes in clinical and public health applications, and among various populations, especially vulnerable populations.