Ontology highlight
ABSTRACT:
SUBMITTER: Rehm GB
PROVIDER: S-EPMC7651887 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
Journal of the American Medical Informatics Association : JAMIA 20180301 3
Lack of access to high-frequency, high-volume patient-derived data, such as mechanical ventilator waveform data, has limited the secondary use of these data for research, quality improvement, and decision support. Existing methods for collecting these data are obtrusive, require high levels of technical expertise, and are often cost-prohibitive, limiting their use and scalability for research applications. We describe here the development of an unobtrusive, open-source, scalable, and user-friend ...[more]