DIGITAL HEALTH INNOVATIONS IN CONTEMPORARY HEALTHCARE

Maria Sierant; Aleksandra Kowalewska-Kurek; Maria Nowakowska; Miszela Kałachurska; Bartosz Nowak; Martyna Rożek; Mateusz Gural; Kamila Zmysłowska

doi:10.31435/ijitss.3(51).2026.6436

Authors

Maria Sierant Nicolaus Copernicus Voivodeship Hospital in Koszalin, Poland https://orcid.org/0009-0002-1012-742X
Aleksandra Kowalewska-Kurek University Clinical Hospital No. 2 of the Pomeranian Medical University in Szczecin, Poland https://orcid.org/0009-0004-7686-0872
Maria Nowakowska University Clinical Hospital No. 1 of the Pomeranian Medical University in Szczecin, Poland https://orcid.org/0009-0007-2321-0464
Miszela Kałachurska University Clinical Hospital No. 2 of the Pomeranian Medical University in Szczecin, Poland https://orcid.org/0009-0006-0687-638X
Bartosz Nowak Alma Mater Studiorum - Università di Bologna, Medical and Surgical Sciences – DIMEC, Via Zamboni 33, 40126 Bologna, Italy https://orcid.org/0009-0002-4452-0000
Martyna Rożek University Clinical Hospital No. 1 of the Pomeranian Medical University in Szczecin, Poland https://orcid.org/0009-0000-9141-8493
Mateusz Gural University Clinical Hospital No. 1 of the Pomeranian Medical University in Szczecin, Poland https://orcid.org/0009-0000-2601-4126
Kamila Zmysłowska Nicolaus Copernicus Voivodeship Hospital in Koszalin, Poland

DOI:

https://doi.org/10.31435/ijitss.3(51).2026.6436

Keywords:

Digital Health; Telemedicine; Artificial Intelligence; Remote Patient Monitoring

Abstract

Contemporary healthcare systems face severe strains due to aging populations, rising chronic disease rates, and workforce shortages. This review of scientific literature from 2015 to 2025 evaluates how Digital Health innovations address these structural challenges. The digital transformation, anchored by electronic medical records, e-prescriptions, and patient portals-has significantly reduced administrative burdens and medical errors. Furthermore, advancements in Artificial Intelligence, Big Data, and the Internet of Medical Things (IoMT) have enhanced diagnostic accuracy and enabled proactive, home-based care through Remote Patient Monitoring (RPM). Clinical evidence indicates that RPM alone reduces hospitalization rates by 27% and lowers overall system expenditures. Despite persistent barriers such as digital exclusion, data privacy concerns, and algorithmic bias, the responsible integration of these digital solutions remains essential for building efficient, accessible, and sustainable patient-centered healthcare systems.

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