{
  "abstract": "Automation in healthcare is often framed in terms of efficiency. These two Editors’ Choice papers suggest a more important role: improving the consistency, fidelity and clinical usefulness of data. In BMJ Health & Care Informatics, Slattery et al1 and Loo et al2 examine automated monitoring in two very different settings—the neonatal intensive care unit (NICU) and the operating room—yet arrive at a similar conclusion. Continuous, automated measurement may offer a more reliable alternative to intermittent, subjective and labour-intensive assessment.",
  "authors": [
    {
      "affiliations": [
        "Department of Ophthalmology, Ren-Ai Branch, Taipei City Hospital System, Taipei City, Taiwan",
        "Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan"
      ],
      "name": "Ju-Chuan Yen"
    },
    {
      "affiliations": [
        "Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan",
        "Department of Ophthalmology, Taipei Veterans General Hospital, Taipei City, Taiwan"
      ],
      "name": "Chia-An Hsu"
    },
    {
      "affiliations": [
        "Department of Neurosurgery, Taipei Medical University Shuang Ho Hospital Ministry of Health and Welfare, New Taipei, Taiwan",
        "Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan"
      ],
      "name": "Min-Huei Hsu"
    }
  ],
  "title": "Automated monitoring in clinical and operational workflows",
  "uid": "c66b8fc2-88b8-5e49-8369-a7b6df5359d4"
}