[
  {
    "id": "10.4018/978-1-6684-5499-2",
    "type": "book",
    "title": "Health Informatics and Patient Safety in Times of Crisis",
    "editor": [
      {
        "family": "Vajjhala",
        "given": "Narasimha Rao"
      },
      {
        "family": "Eappen",
        "given": "Philip"
      }
    ],
    "number-of-pages": "286",
    "collection-title": "Advances in Healthcare Information Systems and Administration",
    "issued": {
      "date-parts": [
        [
          2022,
          12,
          9
        ]
      ]
    },
    "publisher": "IGI Global",
    "ISSN": "2328-1243",
    "ISBN": "9781668455005",
    "DOI": "10.4018/978-1-6684-5499-2",
    "URL": "https://www.narasimharao.net/research/health-informatics-patient-safety-times-of-crisis/",
    "abstract": "The COVID-19 pandemic has highlighted the importance of health data, technology, and access to health informatics. The applications of several information technologies in the context of healthcare are proving instrumental in pandemic control. These technologies were already actively used in the healthcare sector before the pandemic. However, the pandemic has resulted in researchers reassessing how these technologies could have better assisted with the aftermath of the COVID-19 pandemic and how they may mitigate the threat of future pandemics. Health Informatics and Patient Safety in Times of Crisis provides a fresh perspective on how healthcare informatics has managed the current pandemic and how improved healthcare informatics could help in a future crisis. Covering topics such as digital public health, misinformation, and knowledge management, this premier reference source is an indispensable resource for medical professionals, hospital administrators, public health officials, community leaders, international leaders, libraries, medical students, medical professors, researchers, and academicians.",
    "keyword": "health informatics, patient safety, COVID-19, pandemic response, telemedicine, digital public health, misinformation, knowledge management in crises, clinical decision support systems, big data analytics in healthcare, machine learning for epidemic prediction, health information technology management, electronic registries, public health emergency response",
    "language": "en"
  }
]