ArticleProceedings. AMIA Symposium2001
Development of a Personal Digital Assistant (PDA) based client/server NICU patient data and charting system.
Article in Proceedings. AMIA Symposium, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Use of handheld computers in medical education. A systematic review.Journal of general internal medicine · 2006Pooled it
- Handheld computing in medicine.Journal of the American Medical Informatics Association : JAMIAPooled it
- Personal digital assistants to collect tuberculosis bacteriology data in Peru reduce delays, errors, and workload, and are acceptable to users: cluster randomized controlled trial.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2009Trial
- A mobile Nursing Information System based on human-computer interaction design for improving quality of nursing.Journal of medical systems · 2012Article
- Handheld computing in pathology.Journal of pathology informatics · 2012Article
- Use of personal digital assistants for data collection in a multi-site AIDS stigma study in rural south Nyanza, Kenya.African health sciences · 2011Article
- Development, implementation and preliminary study of a PDA-based tuberculosis result collection system.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2006Article
- NICU Notes: A Palm OS and Windows database software product and process to facilitate patient care in the newborn intensive care unit.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2003Article
- PalmCIS: a wireless handheld application for satisfying clinician information needs.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personal Digital Assistants (PDAs) offer clinicians the ability to enter and manage critical information at the point of care. Although PDAs have always been designed to be intuitive and easy to use, recent advances in technology have made them even more accessible. The ability to link data on a PDA (client) to a central database (server) allows for near-unlimited potential in developing point of care applications and systems for patient data management. Although many stand-alone systems exist for PDAs, none are designed to work in an integrated client/server environment. This paper describes the design, software and hardware selection, and preliminary testing of a PDA based patient data and charting system for use in the University of Washington Neonatal Intensive Care Unit (NICU). This system will be the subject of a subsequent study to determine its impact on patient outcomes and clinician efficiency.
Indexed as
Identifiers
11825162PMC2243582What 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.