I4PC

Intelligence for Primary Care

The "Intelligence for Primary Care" (I4PC) research group is dedicated to improving primary care through innovative research and the incorporation of artificial intelligence and other cutting-edge technologies.

This group is made up of a multidisciplinary team that includes family and paediatric doctors, nurses and statisticians, as well as external collaborators who are experts in digital health and medical ethics.

The main objective of I4PC is the development of advanced tools that support the clinical decision-making of professionals, facilitating more accurate diagnoses and optimizing decision-making processes in primary care.

In addition, the group also seeks to develop tools that help in the administrative management and debureaucratization of processes, freeing up time for direct patient care.

The multidisciplinary composition of the group allows a holistic and comprehensive approach to the challenges of primary care, essential for developing effective and ethically responsible technological solutions.

In addition, I4PC works closely with universities, hospitals and technology companies, as well as international research groups, to ensure that the innovations it develops are of high quality and globally relevant.

These collaborations the group's projects with diverse perspectives and facilitate the exchange of knowledge and technologies

Group projects

  • Evaluation of the efficiency of proactive telemedicine vs. face-to-face visits for universal access and health prevention in a rural Primary Care team: randomized clinical trial. (PREDOC_INT-23/4). ICS - Catalan Institute of Health. 2024-2029. IP: Robert Panades Zafra.

  • Multicentre evaluation in a rural environment of a paediatric acute teleconsultation process in Primary Care. ICS - Catalan Institute of Health. 2023-2025. IP: Marta Castillo Rodenas.

  • ePRO-Schools: Co-design and implementation of a digital platform to promote healthy habits among adolescents from socially disadvantaged backgrounds. Generalitat Catalunya. PI: Marina Moreno Martínez.

  • Qüestionari breu validat i traduit al català a partir del "Questionnaire to assess healthcare professionals' perceptions of asynchronous telemedicine services: the Catalan version of the Health Optimum. ASSESS HEALTHCARE PROFESSIONALS. PI: Josep Vidal Alaball.

  • DASH-Obesity: Advanced Solution with Responsible Artificial Intelligence Platform for the Self-Management of Transdiagnostic Obesity. 2024-2027. PI: Josep Vidal Alaball.

  • Explainable AI for Family-Centric Transdiagnostic Personalized Weight control across Multiple Conditions. Ministerio de Ciencia e Innovación. 2024-2027. IP: Josep Vidal Alaball.

  • Perception of artificial intelligence in the specialized training of healthcare professionals. 2024-2027. PI: Anna Escalé Besa.

  • Impact of the COVID-19 pandemic on the clinical indicators of patients in Berguedà: Retrospective population cohort study. Official College of Physicians of Barcelona. 2024-2024. PI: Josep Vidal Alaball.

  • Analysis of the reasons for consultation of the eConsulta visits carried out in the Primary Care of the Central Catalonia health region. 2024-2027. PI: Marta Castillo Rodenas.

  • Evaluation of the efficiency of Proactive Telemedicine vs. Face-to-face visits for universal access and health prevention in a rural Primary Care Team: randomized clinical trial of non-inferiority. 2024-2027. IP: Robert Panades Zafra.

  • COVIDAI: Feasibility study of the Adhera® Fatigue Digital Program aimed at patients with fatigue associated with persistent COVID. 2022-2025. PI: Josep Vidal Alaball.

  • Description of the perception of artificial intelligence by healthcare professionals and users. 2022-2024. PI: Queralt Miró Catalina.

  • Proactive Telemedicine (TMP), a tool to facilitate accessibility to universal health care and improve health prevention for the population assigned to a primary health care team. ICS - Catalan Institute of Health. 2022-2025. IP: Robert Panades Zafra.

  • The indirect impact of the pandemic: determinants and consequences of access to public primary care services during the COVID-19 pandemic. (SLT021/21/000002). Generalitat Catalunya. 2022-2025. PI: Josep Vidal Alaball.

  • Experience of using the eConsulta by Primary Care users of the Catalan Institute of Health. ICS - Catalan Institute of Health. 2022-2025. PI: Josep Vidal Alaball.

  • Artificial Intelligence-based Digital therapeutics solution for personalized recovery support of long covid patients AIDA - COVID-X. (101016065). European Commission; Polytechnic University of Madrid (UPM). 2021-2024. PI: Josep Vidal Alaball.

  • Validation and evaluation of the impact of Artificial Intelligence for the reading of chest X-rays. ICS - Catalan Institute of Health. 2021-2024. PI: Queralt Miró Catalina.

  • Estudio multicéntrico sobre el uso de realidad virtual en la reducción del dolor tras the administration of vaccines in children aged 3 to 6 years in primary care centres in Central Catalonia: randomised clinical trial. ICS - Catalan Institute of Health. 2021-2024. PI: Mercedes de la Cruz Herrera.

  • Big Data, Analytics, Management and Strategy in Health and Social. Manresa City Council. 2021-2024. PI: Josep Vidal Alabal

Group publications

  • Castillo-Rodenas, M., Vidal-Alaball, J., Solanas-Bacardit, N., Farràs-Company, C., Fuster-Casanovas, A., Miró Catalina, Q., & López Seguí, F. (2024). Feasibility of a Pediatric Acute Video Consultation Process Among Health Care  Professionals in Primary Care in a Rural Setting: Protocol for a Prospective Validation Study. JMIR Research Protocols, 13, e52946. https://doi.org/10.2196/52946
  • Vidal-Alaball, J. (2024). [New information and communication technologies in primary and community care]. In Atencion primaria (Vol. 56, Issue 6, p. 102929). https://doi.org/10.1016/j.aprim.2024.102929

THESIS

  • De la Cruz M(Author). Multicenter study on the use of virtual reality in the reduction of pain after the administration of vaccines in children aged 3 to 6 years in primary care centers in Central Catalonia: randomized clinical trial. Vic. [Doctoral Thesis]. UNIVERSITY OF VIC-CENTRAL UNIVERSITY OF CATALONIA. 2024.
  • Miró Catalina, Queralt (Author) Evaluation of the impact of artificial intelligence in the field of health and validation of an artificial intelligence algorithm for the reading of chest X-rays in the field of primary care. [Doctoral Thesis]. Vic. UNIVERSITY OF VIC-CENTRAL UNIVERSITY OF CATALONIA. 2024.
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