Utilization, challenges, and training needs of digital health technologies: Perspectives from healthcare professionals
Open accessAbstract
Introduction: Digital health technology (DHTs), such as electronic health records (EHRs), mobile health apps, and remote monitoring systems, is revolutionizing contemporary healthcare by improving diagnosis, patient care, and operational efficiency. Notwithstanding these developments, infrastructure, technical assistance, and personnel training remain obstacles to the successful deployment of DHTs. Methods: 500 medical experts participated in a survey to evaluate the use, advantages, and challenges of DHTs. The frequency of DHT use, the perceived advantages, and the challenges—such as technical difficulties and a lack of training—were the main topics of the data gathered. Results: The most popular technology was mobile health apps (44.4%), followed by EHR systems and diagnostic tools (33.3%). Benefits reported included decreased administrative burden (50%) and increased diagnostic accuracy (46.2%). However, there significant obstacles were found, though: 63% of respondents said they had only received limited training, and 51.9% mentioned software bugs and network problems. Despite these obstacles, 63% of those surveyed reported increases in the effectiveness of healthcare delivery. Discussion: Our study finds a gap between the infrastructure needed for DHTs to be implemented successfully and their quick adoption. This study challenges the notion that adopting technology alone increases productivity by highlighting the importance of thorough technical assistance and staff training. These issues need to be resolved if DHTs are to be fully utilized for improved healthcare delivery and operational effectiveness. • Mobile health apps (44.4%) and EHRs (33.3%) were the most widely adopted digital health technologies (DHTs). • 63% reported inadequate training, and 52% faced technical issues like software bugs. • 63% observed improved healthcare delivery effectiveness despite challenges. • Infrastructure, training, and support are critical for maximizing the potential of DHTs.
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Healthcare workers in Nigeria may be interested in EHR systems in theory, but real practice is limited by context-specific factors including device unavailability, instability of institutional preparedness, and poor health informatics skills.
“Facts of scoping and quantitative research also confirm that healthcare workers might be interested in EHR systems in theory, but the real practice is limited due to the context specifics, including device unavailability, instability of institutional preparedness, and poor health informatics skills of professionals [14, 22, 23].”
From Cloud-based Electronic Health Records (EHR) Adoption Rate in Nigeria: Barriers and Performance Bottlenecks (2026) · cites this paper as [22]
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- Authors
- Khan, R., Khan, S., Almohaimeed, H. M., Almars, A. I., & Pari, B.
- Affiliations
- Silesian University of Technology (PL)
- Khyber Girls Medical College (PK)
- Princess Nourah bint Abdulrahman University (SA)
- King Abdulaziz University (SA)
- Lady Reading Hospital (PK)
- Corresponding author
- Khan, Ruby
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2025-05
- Volume
- 197
- Pages
- 105833
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W4407425185
- Cited by
- 65
- References
- 35
- Citations by year
- 2026: 45 · 2025: 20
- FWCI
- 51.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Medical Informatics (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Princess Nourah Bint Abdulrahman University (PNURSP2025R213)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- digital health technologies, electronic health records, mobile health apps, remote monitoring, healthcare professionals' perspectives, staff training needs, technical challenges, software defects, network problems, technology adoption, administrative burden, diagnostic accuracy
- MeSH terms
- Digital Technology, Digital Health, Adult, Attitude of Health Personnel, Female, Health Personnel, Humans, Male, Middle Aged, Surveys and Questionnaires, Telemedicine, Electronic Health Records, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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