ReviewCancer informatics2014
Health information technology in oncology practice: a literature review.
Review in Cancer informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Tension between timeliness and completeness of data in the initiation of cancer treatment: A qualitative study of oncology practice workflows and enduring health IT challenges.medRxiv : the preprint server for health sciences · 2025Article
- Implementation of Computerized Prescriber Order Entry Systems: A Review of Impacts, Barriers, and Facilitators.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2024Review
- The digital divide: Racial disparities in adoption and utilization of health information technology among patients with lymphoid cancers.Cancer medicine · 2023Article
- Electronic health records and patient registries in medical oncology departments in Spain.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021Article
- Oncologists' perspectives on post-cancer treatment communication and care coordination with primary care physicians.European journal of cancer care · 2017Article
- A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.Yearbook of medical informatics · 2016Review
- Guideline-based Clinical Decision Support Systems as an Inseparable Tool for Better Cancer Care Management.Iranian journal of public health · 2016Article
- Co-creation of an ICT-supported cancer rehabilitation application for resected lung cancer survivors: design and evaluation.BMC health services research · 2016Article
- Efficacy and effectiveness trials have different goals, use different tools, and generate different messages.Pragmatic and observational research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The adoption and implementation of information technology are dramatically remodeling healthcare services all over the world, resulting in an unstoppable and sometimes overwhelming process. After the introduction of the main elements of electronic health records and a description of what every cancer-care professional should be familiar with, we present a narrative review focusing on the current use of computerized clinical information and decision systems in oncology practice. Following a detailed analysis of the many coveted goals that oncologists have reached while embracing informatics progress, the authors suggest how to overcome the main obstacles for a complete physicians' engagement and for a full information technology adoption, and try to forecast what the future holds.
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.