ArticleBMC primary care2023
The voice of healthcare: introducing digital decision support systems into clinical practice - a qualitative study.
Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Why aren't they used? Systematic review of barriers to implementation of clinical decision support systems for early cancer detection in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Pooled it
- Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Pooled it
- The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations.Implementation science : IS · 2025Pooled it
- Participation in the digital transformation of healthcare: a review of qualitative studies.International journal of health care quality assurance · 2024Pooled it
- Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review.Implementation science : IS · 2024Pooled it
- Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review.Frontiers in medicine · 2023Pooled it
- Acceptability, Usability, and Perceived Quality of Care of a Digital Decision Support System in Tele-Primary Health Care in Sindh, Pakistan: Sequential Explanatory Mixed Methods Pilot Study.JMIR formative research · 2026Article
- Navigating the complexities of digital health technology implementation: a scoping review of barriers and facilitators.Implementation science communications · 2026Review
- A Survey on Digital Solutions for Health Services Management: Features and Use Cases from Brazilian National Literature.Healthcare (Basel, Switzerland) · 2025Review
- Article
- Rethinking the digital divide in health: a critical interpretive synthesis of research literature.Frontiers in digital health · 2025Review
- Clinicians' roles and necessary levels of understanding in the use of artificial intelligence: A qualitative interview study with German medical students.BMC medical ethics · 2024Article
- Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study.Journal of medical Internet research · 2024Article
- Exploring the feasibility of an artificial intelligence based clinical decision support system for cutaneous melanoma detection in primary care - a mixed method study.Scandinavian journal of primary health care · 2024Article
- Physician's autonomy in the face of AI support: walking the ethical tightrope.Frontiers in medicine · 2024Article
- "The Simpler, the Better." A Qualitative Study on Digital Health Transformation in Early Adopter Rheumatology Outpatient Clinics.Inquiry : a journal of medical care organization, provision and financingArticle
- General practitioners' user experience of the nationwide digital decision support system in primary care.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a need to accelerate digital transformation in healthcare to meet increasing needs and demands. The accuracy of medical digital diagnosis tools is improving. The introduction of new technology in healthcare can however be challenging and it is unclear how it should be done to reach desired results. The aim of this study was to explore perceptions and experiences of introducing new Information Technology (IT) in a primary healthcare organisation, exemplified with a Clinical Decision Support System (CDSS) for malignant melanoma.
methodsA qualitative interview-based study was performed in Region Stockholm, Sweden, with fifteen medical doctors representing three different organisational levels - primary care physician, primary healthcare centre manager, and regional manager/chief medical officer. In addition, one software provider was included. Interview data were analysed according to content analysis.
resultsOne central theme "Introduction of digital CDSS in primary healthcare requires a multidimensional perspective and handling" along with seven main categories and thirty-three subcategories emerged from the analysis. Digital transformation showed to be key for current healthcare providers to stay relevant and competitive. However, healthcare represents a closed community, very capable but with lack of time, fostered to be sceptical to new why change needs to bring true value and be inspired by people with medical background to motivate the powerful frontline.
conclusionsThis qualitative study revealed structured information of what goes wrong and right and what needs to be considered when driving digital change in primary care organisations. The task shows to be complex and the importance of listening to the voice of healthcare is valuable for understanding the conditions that need to be fulfilled when adopting new technology into a healthcare organization. By considering the findings of this study upcoming digital transformations can improve their success-rate. The information may also be used in developing a holistic approach or framework model, adapted to primary health care, that can support and accelerate the needed digitalization in healthcare as such.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.