Background The ownership of patient information in the context of big data is a relatively
new problem, which is not yet fully recognized by the medical academic community. The …

Background Common data models (CDMs) are essential tools for data harmonization, which
can lead to significant improvements in the health domain. CDMs unite data from disparate …

There is growing interest in using observational data to assess the safety, effectiveness, and
cost effectiveness of medical technologies, but operational, technical, and methodological …

Health technology assessment (HTA) is increasingly informed by nonrandomized studies,
but there is limited guidance from HTA bodies on expectations around evidence quality and …

Background Artificial intelligence (AI) has attracted much attention because of its enormous
potential in healthcare, but uptake has been slow. There are substantial barriers that …

Background Currently, it is rare for nursing data to be available in data repositories due to
the quality of nursing data collected in clinical practice. To improve the quality of nursing …

There is potential value in incorporating biomedical big data (BBD)—observational real-
world patient-level genomic and clinical data in multiple sub-populations—into economic …

Background: Physical activity data provides important information on disease onset,
progression, and treatment outcomes. Although analyzing physical activity data in …

The existing geological disaster monitoring and early warning system has the problems of
large monitoring errors and low accuracy. This paper designs a geological disaster …

Abstract Objectives The Joint ISPOR-ISPE Special Task Force on Real-World Evidence
included patient/stakeholder engagement as a recommended good procedural practice …