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Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study.
Reis, Joaquim; Travado, Luzia; Scherrer, Alexander; Kosmidis, Thanos; Venios, Stefanos; Laras, Paris Emmanouil; Oestreicher, Gabrielle; Moehler, Markus; Parolini, Margherita; Passardi, Alessandro; Meggiolaro, Elena; Martinelli, Giovanni; Petracci, Elisabetta; Zingaretti, Chiara; Diamantopoulos, Sotiris; Plakia, Maria; Vassiliou, Charalampos; Mousa, Suheib; Zifrid, Robert; Sullo, Francesco Giulio; Gallio, Chiara.
Afiliação
  • Reis J; Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisboa, Portugal.
  • Travado L; Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisboa, Portugal.
  • Scherrer A; Institute for Industrial Mathematics, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM), Kaiserslautern, Germany.
  • Kosmidis T; Careacross, London, United Kingdom.
  • Venios S; Suite5, Data Intelligence Solutions Limited, Limassol, Cyprus.
  • Laras PE; Maggioli SPA, Santarcangelo di Romagna, Italy.
  • Oestreicher G; Universitaetsmedizin der Johannes Gutenberg-Universitaet Mainz, Mainz, Germany.
  • Moehler M; Universitaetsmedizin der Johannes Gutenberg-Universitaet Mainz, Mainz, Germany.
  • Parolini M; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Passardi A; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Meggiolaro E; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Martinelli G; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Petracci E; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Zingaretti C; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Diamantopoulos S; Exus Software, London, United Kingdom.
  • Plakia M; Exus Software, London, United Kingdom.
  • Vassiliou C; Innosystems, Athens, Greece.
  • Mousa S; MCS Datalabs, Berlin, Germany.
  • Zifrid R; MCS Datalabs, Berlin, Germany.
  • Sullo FG; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
  • Gallio C; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.
JMIR Res Protoc ; 12: e45475, 2023 Apr 21.
Article em En | MEDLINE | ID: mdl-37083563
ABSTRACT

BACKGROUND:

According to Europe's Beating Cancer Plan, the number of cancer survivors is growing every year and is now estimated at over 12 million in Europe. A main objective of the European Commission is to ensure that cancer survivors can enjoy a high quality of life, underlining the role of digital technology and eHealth apps and tools to achieve this.

OBJECTIVE:

The main objective of this study is the development of a user-centered artificial intelligence system to facilitate the input and integration of patient-related biopsychosocial data to improve posttreatment quality of life, well-being, and health outcomes and examine the feasibility of this digitally assisted workflow in a real-life setting in patients with colorectal cancer and acute myeloid leukemia.

METHODS:

A total of 60 patients with colorectal cancer and 30 patients with acute myeloid leukemia will be recruited from 2 clinical centers Universitätsmedizin der Johannes Gutenberg-Universität Mainz (Mainz, Germany) and IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" (IRST, Italy). Psychosocial data (eg, emotional distress, fatigue, quality of life, subjective well-being, sleep problems, and appetite loss) will be collected by questionnaires via a smartphone app, and physiological data (eg, heart rate, skin temperature, and movement through step count) will be collected by a customizable smart wrist-worn sensor device. Each patient will be assessed every 2 weeks over their 3-month participation in the ONCORELIEF study. Inclusion criteria include patients with the diagnosis of acute myeloid leukemia or colorectal cancer, adult patients aged 18 years and older, life expectancy greater than 12 months, Eastern Cooperative Oncology Group performance status ≤2, and patients who have a smartphone and agree to use it for the purpose of the study. Exclusion criteria include patients with a reduced cognitive function (such as dementia) or technological illiteracy and other known active malignant neoplastic diseases (patients with a medical history of treated neoplastic disease are included).

RESULTS:

The pilot study started on September 1, 2022. As of January 2023, we enrolled 33 patients with colorectal cancer and 7 patients with acute myeloid leukemia. As of January 2023, we have not yet started the data analysis. We expect to get all data in June 2023 and expect the results to be published in the second semester of 2023.

CONCLUSIONS:

Web-based and mobile apps use methods from mathematical decision support and artificial intelligence through a closed-loop workflow that connects health professionals and patients. The ONCORELIEF system has the potential of continuously identifying, collecting, and processing data from diverse patient dimensions to offer health care recommendations, support patients with cancer to address their unmet needs, and optimize survivorship care. TRIAL REGISTRATION German Clinical Trials Register (DRKS) 00027808; https//drks.de/search/en/trial/DRKS00027808. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/45475.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Portugal

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Portugal