How hospitals in mainland China responded to the outbreak of COVID-19 using information technology–enabled services: An analysis of hospital news webpages

Abstract Objective Many countries have implemented quarantine rules during the global outbreak of coronavirus disease 2019 (COVID-19). Understanding how hospitals can continue providing services in an effective manner under these circumstances is thus important. In this study, we investigate how information technology (IT) helped hospitals in mainland China better respond to the outbreak of the pandemic. Materials and Methods We conducted a content analysis of pages published on the websites of the top 50 hospitals in mainland China between January 22 and February 21, 2020. In total, we analyzed 368 pages that the hospitals published during the initial days of the COVID-19 pandemic. The purpose was to identify common themes related to the utilization of IT by these hospitals in response to the pandemic’s outbreak. Results We identified 5 focal themes across the webpages published by the hospitals during our study period, including (1) popular medical science education, (2) digitalized hospital processes, (3) knowledge management for medical professionals, (4) telemedicine, and (5) new IT initiatives for healthcare services. Our analysis revealed that Chinese hospitals spent greater effort in promoting popular medical science education in the initial stages of our study period and more on telemedicine in the latter stages. Discussion We propose a configurational approach for hospitals to design response strategies to pandemic outbreaks based on their available resources. Conclusions Our study provides rich insights for hospitals to better utilize their IT resources and some recommendations for policymaker to better support hospitals in the future.

[1]  Rajiv Sabherwal,et al.  Knowledge Management: Systems and Processes , 2010 .

[2]  Andrew T. Kaczynski,et al.  Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program , 2013, J. Am. Medical Informatics Assoc..

[3]  Julia Adler-Milstein,et al.  The impact of transitioning from availability of outside records within electronic health records to integration of local and outside records within electronic health records , 2020, J. Am. Medical Informatics Assoc..

[4]  Fabrice Carrat,et al.  WTW - an algorithm for identifying "who transmits to whom" in outbreaks of interhuman transmitted infectious agents , 2010, J. Am. Medical Informatics Assoc..

[5]  Y. Li,et al.  Preparing and responding to 2019 novel coronavirus with simulation and technology-enhanced learning for healthcare professionals: challenges and opportunities in China , 2020, BMJ Simulation and Tecnnology Enhanced Learning.

[6]  David W. Bates,et al.  Paperless healthcare: Progress and challenges of an IT-enabled healthcare system , 2010 .

[7]  Kenneth D. Mandl,et al.  HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports , 2008, Journal of the American Medical Informatics Association.

[8]  Keri K. Stephens,et al.  Design simplicity influences patient portal use: the role of aesthetic evaluations for technology acceptance , 2016, J. Am. Medical Informatics Assoc..

[9]  Laura Wagner,et al.  "Just tell me what's going on": The views of parents of children with genetic conditions regarding the research use of their child's electronic health record , 2020, J. Am. Medical Informatics Assoc..

[10]  Helvi Kyngäs,et al.  The qualitative content analysis process. , 2008, Journal of advanced nursing.

[11]  Param Vir Singh,et al.  Learning Curves of Agents with Diverse Skills in Information Technology-Enabled Physician Referral Systems , 2011, Inf. Syst. Res..

[12]  R. Weber.  Basic Content Analysis , 1986 .

[13]  H. Simon.  Bounded Rationality and Organizational Learning , 1991 .

[14]  Adam Williams,et al.  Patient reported barriers to enrolling in a patient portal , 2011, J. Am. Medical Informatics Assoc..

[15]  J. R. Landis,et al.  An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. , 1977, Biometrics.

[16]  Guilherme Del Fiol,et al.  Measuring implementation feasibility of clinical decision support alerts for clinical practice recommendations , 2020, J. Am. Medical Informatics Assoc..

[17]  Na Liu,et al.  Emotion sharing in remote patient monitoring of patients with chronic kidney disease , 2019, J. Am. Medical Informatics Assoc..

[18]  Michael M. Wagner,et al.  Technical Description of RODS: A Real-time Public Health Surveillance System , 2003, Journal of the American Medical Informatics Association.

[19]  Michael Russell,et al.  Drawing on Education: Using Student Drawings To Promote Middle School Improvement. , 1998 .

[20]  Michael M. Wagner,et al.  Modeling the Effects of Epidemics on Routinely Collected Data , 2002, J. Am. Medical Informatics Assoc..

[21]  Melanie A. Meyer,et al.  Healthcare data scientist qualifications, skills, and job focus: a content analysis of job postings , 2019, J. Am. Medical Informatics Assoc..

[22]  Nancy Staggers,et al.  Quantifying usability: an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics , 2015, J. Am. Medical Informatics Assoc..

[23]  Adi V. Gundlapalli,et al.  The EpiCanvas infectious disease weather map: an interactive visual exploration of temporal and spatial correlations , 2012, J. Am. Medical Informatics Assoc..

[24]  Rajiv Sabherwal,et al.  An Empirical Taxonomy of Implementation Processes Based on Sequences of Events in Information System Development , 1993 .

[25]  Isaac S. Kohane,et al.  Brief Review: The Contributions of Biomedical Informatics to the Fight Against Bioterrorism , 2002, J. Am. Medical Informatics Assoc..

[26]  Julia Adler-Milstein,et al.  Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians , 2020, J. Am. Medical Informatics Assoc..

[27]  D. Tabatabai,et al.  The acquisition of tacit knowledge in medical education: learning by doing , 2006, Medical education.