Extensions and adaptations of existing medical information system in order to reduce social contacts during COVID-19 pandemic

Abstract Objective The main objective of this paper is the reduction of the COVID-19 pandemic spread by increasing the degree of social distancing by using and upgrading the existing Medical Information System (MIS). Material and methods The existing MIS MEDIS.NET, currently used in the largest health center in the Balkans, has been adapted and further developed. Results During the adaptation of existing MIS MEDIS.NET 4 new and 9 existing modules were developed. A quick questionnaire for the smart triage of patients was also implemented. Discussion The adapted MIS successfully influenced the reduction of social contacts within the Health Center Nis. The need for the arrival of children and their parents to receive appropriate health certificates for the school enrolment is reduced. The therapy of chronic patients has been prolonged for 6 months via an electronic prescription. An online service for the communication between patients and the chosen physicians is provided. Possible social contacts and exposure to the viral environment of patients are reduced by making appointments in extended slots and at determined physical locations. Patients are notified per SMS or email about the availability of chosen and physician on duty. The social distancing of patients and physicians is also established by sending laboratory analyses per email or SMS. Keeping the central registry for COVID-19 is enabled throughout the country. Conclusion The smart adaptation of MIS, and its collaboration with other state systems can significantly influence the reduction of social contacts and thus mitigate the consequences of COVID-19 pandemic.

[1]  B. Tran,et al.  Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry , 2020, Brain, Behavior, and Immunity.

[2]  Carl A. Latkin,et al.  Characterize health and economic vulnerabilities of workers to control the emergence of COVID-19 in an industrial zone in Vietnam , 2020, Safety Science.

[3]  Ting Yu,et al.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study , 2020, The Lancet.

[4]  Anne M Johnson,et al.  Public activities preceding the onset of acute respiratory infection syndromes in adults in England - implications for the use of social distancing to control pandemic respiratory infections. , 2020, Wellcome open research.

[5]  S. Lapinsky,et al.  Information Technology Systems for Critical Care Triage and Medical Response During an Influenza Pandemic: A Review of Current Systems , 2013, Disaster Medicine and Public Health Preparedness.

[6]  Bach Tran,et al.  Is returning to work during the COVID-19 pandemic stressful? A study on immediate mental health status and psychoneuroimmunity prevention measures of Chinese workforce , 2020, Brain, Behavior, and Immunity.

[7]  Melvyn W Zhang,et al.  The untapped potential of smartphone sensors for stroke rehabilitation and after-care. , 2016, Technology and health care : official journal of the European Society for Engineering and Medicine.

[8]  Celso Arango,et al.  Lessons Learned From the Coronavirus Health Crisis in Madrid, Spain: How COVID-19 Has Changed Our Lives in the Last 2 Weeks , 2020, Biological Psychiatry.

[9]  Bin Dai,et al.  Using Random Forest Algorithm for Breast Cancer Diagnosis , 2018, 2018 International Symposium on Computer, Consumer and Control (IS3C).

[10]  T. Cook,et al.  Development of a triage protocol for critical care during an influenza pandemic , 2006, Canadian Medical Association Journal.

[11]  Sanjeev Sockalingam,et al.  Online and smartphone based cognitive behavioral therapy for bariatric surgery patients: Initial pilot study. , 2015, Technology and health care : official journal of the European Society for Engineering and Medicine.

[12]  Andrew M Ryan,et al.  Electronic health records and technical assistance to improve quality of primary care: Lessons for regional extension centers. , 2014, Healthcare.

[13]  Arvind Rajagopalan,et al.  Digital Platforms in the Assessment and Monitoring of Patients with Bipolar Disorder , 2017, Brain sciences.

[14]  M. Lipsitch,et al.  Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period , 2020, Science.

[15]  J. Ioannidis,et al.  What Other Countries Can Learn From Italy During the COVID-19 Pandemic. , 2020, JAMA internal medicine.

[16]  Jeffrey Ferranti,et al.  Telehealth transformation: COVID-19 and the rise of virtual care , 2020, J. Am. Medical Informatics Assoc..

[17]  Roger C M Ho,et al.  Conceptualization of an evidence-based smartphone innovation for caregivers and persons living with dementia. , 2016, Technology and health care : official journal of the European Society for Engineering and Medicine.

[18]  S. McCann,et al.  Isolation , 2020, Bone Marrow Transplantation.

[19]  Wei Huang,et al.  Smart healthcare: making medical care more intelligent , 2019, Global Health Journal.

[20]  Helen A. Weiss,et al.  Use of a mobile application for Ebola contact tracing and monitoring in northern Sierra Leone: a proof-of-concept study , 2019, BMC Infectious Diseases.

[21]  Y. Hu,et al.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China , 2020, The Lancet.

[22]  Peter Daszak,et al.  Escaping Pandora's Box - Another Novel Coronavirus. , 2020, The New England journal of medicine.

[23]  Christl A. Donnelly,et al.  The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries , 2020, Science.

[24]  A. Wilder-Smith,et al.  Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak , 2020, Journal of travel medicine.

[25]  Qiong Chen,et al.  Insight into 2019 novel coronavirus — An updated interim review and lessons from SARS-CoV and MERS-CoV , 2020, International Journal of Infectious Diseases.

[26]  Carl A. B. Pearson,et al.  The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study , 2020, The Lancet Public Health.

[27]  Lucie Abeler-Dörner,et al.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing , 2020, Science.

[28]  Bach Tran,et al.  A longitudinal study on the mental health of general population during the COVID-19 epidemic in China , 2020, Brain, Behavior, and Immunity.

[29]  Hsiang-Chuan Liu,et al.  A novel classifier for influenza a viruses based on SVM and logistic regression , 2008, 2008 International Conference on Wavelet Analysis and Pattern Recognition.

[30]  Yan Zhao,et al.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. , 2020, JAMA.

[31]  Dragan Jankovic,et al.  Adaption of medical information system's e-learning extension to a simple suggestion tool , 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).

[32]  Ti-Fei Yuan,et al.  Mental health and psychosocial function of general population during the COVID‐19 epidemic in China , 2020, Clinical and translational medicine.

[33]  S. Bhatt,et al.  Report 12: The global impact of COVID-19 and strategies for mitigation and suppression , 2020 .

[34]  Dragan Jankovic,et al.  APPLICATION OF MEDICAL INFORMATION SYSTEMS IN EDUCATION AND RESEARCH IN MEDICINE , 2012 .

[35]  Dragan Jankovic,et al.  Health Care Domain Mobile Reminder for Taking Prescribed Medications , 2016, ICT Innovations.

[36]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[37]  Madhav V. Marathe,et al.  Big Data Applications in Health Sciences and Epidemiology , 2015, Handbook of Statistics.

[38]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[39]  Dragan Jankovic,et al.  Developing and deploying medical information systems for Serbian public healthcare: Challenges, lessons learned and guidelines , 2013, Comput. Sci. Inf. Syst..

[40]  Thomas V Inglesby,et al.  Priorities for the US Health Community Responding to COVID-19. , 2020, JAMA.

[41]  W. Ko,et al.  Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges , 2020, International Journal of Antimicrobial Agents.

[42]  R. Ho,et al.  Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China , 2020, International journal of environmental research and public health.

[43]  Marlene Millen,et al.  Rapid response to COVID-19: health informatics support for outbreak management in an academic health system , 2020, J. Am. Medical Informatics Assoc..

[44]  D. Jankovic,et al.  Data summarization method for chronic disease tracking , 2017, J. Biomed. Informatics.

[45]  Ralph Gonzales,et al.  Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19 , 2020, J. Am. Medical Informatics Assoc..