ReviewYearbook of medical informatics2018
Expanding Human Computer Interaction Methods to Understand User Needs in the Design Process of Personal Health Systems.
Review in Yearbook of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Designing Clinical Decision Support Systems (CDSS)-A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Human-Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace.Healthcare (Basel, Switzerland) · 2024Review
- The impact of a mixed reality technology-driven health enhancing physical activity program among community-dwelling older adults: a study protocol.Frontiers in public health · 2024Article
- Nursing and human-computer interaction in healthcare robots for older people: An integrative review.International journal of nursing studies advances · 2022Review
- Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study.JMIR cancer · 2022Article
- Utilizing a Human-Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support.Journal of personalized medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo review innovative human computer interaction methods researchers utilize to identify stakeholders' needs that inform the design of personal health systems outside of clinical environments.
methodsA selective review of recent literature.
resultsSummaries of exemplar needs analysis papers showing how researchers utilize novel methods to surface the lived experiences of users.
conclusionsThe medical informatics community is encouraged to ensure that we are designing health technology for all individuals - including underrepresented and underserved populations - by investigating the complex needs of target users. This paper summarizes the novel ways researchers have explored target populations via social media and engaged populations as part of the design team. Medical informaticians should continue investigating the soundness of these methods by comparing the design outcomes with currently utilized user-centered methods and to report on unintended consequences.
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.