ArticleFuture hospital journal2015
Health information technology in hospitals: current issues and future trends.
Article in Future hospital journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Perceptions of healthcare workers on the electronic health record system of sexually transmitted disease clinics in Sri Lanka: a descriptive cross-sectional study.BMC health services research · 2026Article
- [Use of AI-based applications by hospital staff: task profiles and qualification requirements].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Review
- Electronic patient record and its effects on social aspects of interprofessional collaboration and clinical workflows in hospitals (eCoCo): a mixed methods study protocol.BMC health services research · 2021Article
- Review
- The Effect of Innovation Capabilities of Health Care Organizations on the Quality of Health Information Technology: Model Development With Cross-sectional Data.JMIR medical informatics · 2021Article
- A Proof of Concept of a Mobile Health Application to Support Professionals in a Portuguese Nursing Home.Sensors (Basel, Switzerland) · 2019Article
- Healthcare Data Breaches: Implications for Digital Forensic Readiness.Journal of medical systems · 2018Article
- Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application.JMIR medical informatics · 2017Article
- Future Research in Health Information Technology: A Review.Perspectives in health information managemen · 2017Review
- Ten key considerations for the successful optimization of large-scale health information technology.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Article
- Article
- Making sense of the shadows: priorities for creating a learning healthcare system based on routinely collected data.BMJ quality & safety · 2015Article
- Article
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
Healthcare is at an important crossroads in that current models of care are increasingly seen by politicians and policymakers as unsustainable. Furthermore, there is a need to move away from the reactive, doctor-centred model of care to one that is more patient-centred and that consistently delivers accessible, high-quality and safe care to all. Greater use of health information technology (HIT) is seen by many key decision makers as crucial to this transformation process and, hence, substantial investments are made in this area. However, healthcare, particularly in UK hospitals, remains a laggard in HIT adoption. To uncover the underlying reasons, we discuss current implementation and adoption challenges and explore potential ways to address these. We outline strategic, organisational, technical and social factors that can 'make or break' technological implementations. Most importantly, we suggest that efforts should be characterised by an underlying awareness of the complexity of the hospital environment and the need to develop tools that support provision of integrated multidisciplinary care. We conclude with a discussion of promising future developments, including increased patient involvement; access and contribution to shared records; the penetration of smart devices; greater health information exchange and interoperability; and innovative real-time secondary uses of data. We argue that there is considerable merit in evaluating the introduction of these interventions to help ensure that they are optimised for effectiveness, support efficient working and minimise the possibility of inadvertently introducing new risks into already complex health systems. Our over-riding message is that HIT should be seen as, where appropriate, a potential enabler and an important source of data to support healthcare redesign and that critical, ongoing evaluation is key to maximising benefits. However, it should not be seen as a silver bullet.
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.