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1.
Stud Health Technol Inform ; 286: 3-8, 2021 Nov 08.
Article in English | MEDLINE | ID: covidwho-1511999

ABSTRACT

The COVID-19 pandemic has disrupted many global industries and shifted the digital health landscape by stimulating and accelerating the delivery of digital care. It has emphasized the need for a system level informatics implementation that supports the healthcare management of populations at a macro level while also providing the necessary support for front line care delivery at a micro level. From data dashboard to Telemedicine, this crisis has necessitated the need for health informatics transformation that can bridge time and space to provide timely care. However, heath transformation cannot solely rely on Health Information Technology (HIT) for progress, but rather success must be an outcome of system design focus on the contextual complexity of the health system where HIT is used. This conference highlights the important roles context plays for health informatics in global pandemics and aims to answer critical questions in four main areas: 1) health information management in the covid-19 context, 2) implementation of new practices and technologies in healthcare, 3) sociotechnical analysis of task performance and workload in healthcare, and 4) innovations in design and evaluation methods of health technologies. We deem this as a call to action to understand the importance of context while solving the last mile problem in delivering the informatics solutions that are needed to support our public health response.


Subject(s)
COVID-19 , Medical Informatics , Telemedicine , Humans , Pandemics , SARS-CoV-2
2.
Technol Health Care ; 29(5): 849-858, 2021.
Article in English | MEDLINE | ID: covidwho-1305626

ABSTRACT

OBJECTIVE: This study aimed to investigate the clinical characteristics and outcomes of coronavirus disease-19 (COVID-19) long-term nucleic acid positive patients (hereinafter referred to as CLTAPs). METHODS: Patients were recruited from the Xiaogan Central Hospital between 16 January 2020 and 28 March 2020. Among the 562 cases of patients with laboratory-identified COVID-19 infection by real-time polymerase chain reaction (qtPCR), 19 cases of COVID-19 patients with more than 41 days from the first to the last time of nucleic acid test were selected as the study group, and 76 cases of age- and gender-matched COVID-19 patients were selected as the control group (hereinafter referred to as C-CLTAPs). Demographic characteristics, clinical symptoms, laboratory examination and computed tomography (CT) imaging characteristics were retrospectively analyzed. RESULTS: On admission, among the 562 cases of patients with COVID-19, there were 398 cases of ordinary COVID-19 patients, 99 cases of severe COVID-19 patients and 99 cases of critical COVID-19 patients. CLTAPs had milder clinical symptoms and longer viral shedding time in comparison to C-CLTAPs. Compared to C-CLTAPs, CLTAPs had a lower infection index at admission. CLTAPs used less oxygen therapy and a higher proportion of hydroxychloroquine treatment in comparison to C-CLTAPs. In comparison to C-CLTAPs, CLTAPs showed slower pulmonary CT progression and faster pulmonary CT absorption. CONCLUSION: In this study, out of the 562 cases, we found 19 CLTAPs. The clinical differences between CLTAPs and C-CLTAPs were compared and analyzed. We hope that these finding can provide a theoretical basis for the treatment of CLTAPs.


Subject(s)
COVID-19 , Nucleic Acids , Humans , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
3.
Methods Inf Med ; 59(6): 183-192, 2020 12.
Article in English | MEDLINE | ID: covidwho-1223130

ABSTRACT

BACKGROUND: As a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly validated in times of crisis. AIM: In this paper, we describe a joint call for action to use and leverage evidence-based health informatics as the foundation for the COVID-19 response and public health interventions. Tangible examples are provided for how the working groups and special interest groups of the International Medical Informatics Association (IMIA) are helping to build an evidence-based response to this crisis. METHODS: Leaders of working and special interest groups of the IMIA, a total of 26 groups, were contacted via e-mail to provide a summary of the scientific-based efforts taken to combat COVID-19 pandemic and participate in the discussion toward the creation of this manuscript. A total of 13 groups participated in this manuscript. RESULTS: Various efforts were exerted by members of IMIA including (1) developing evidence-based guidelines for the design and deployment of digital health solutions during COVID-19; (2) surveying clinical informaticians internationally about key digital solutions deployed to combat COVID-19 and the challenges faced when implementing and using them; and (3) offering necessary resources for clinicians about the use of digital tools in clinical practice, education, and research during COVID-19. DISCUSSION: Rigor and evidence need to be taken into consideration when designing, implementing, and using digital tools to combat COVID-19 to avoid delays and unforeseen negative consequences. It is paramount to employ a multidisciplinary approach for the development and implementation of digital health tools that have been rapidly deployed in response to the pandemic bearing in mind human factors, ethics, data privacy, and the diversity of context at the local, national, and international levels. The training and capacity building of front-line workers is crucial and must be linked to a clear strategy for evaluation of ongoing experiences.


Subject(s)
COVID-19 , Evidence-Based Practice , Medical Informatics , Cooperative Behavior , Humans , Pandemics , Public Health , Qualitative Research , SARS-CoV-2
4.
Endokrynol Pol ; 71(5): 367-375, 2020.
Article in English | MEDLINE | ID: covidwho-895590

ABSTRACT

INTRODUCTION: The objective of this paper was to investigate the clinical features and pulmonary CT imaging features of COVID-19 patients with diabetes mellitus. MATERIAL AND METHODS: From January 16, 2020 to March 28, 2020, among the 568 cases of COVID-19 patients diagnosed in Xiaogan Central Hospital, 64 cases of COVID-19 patients with diabetes were selected as the diabetic group, and 64 cases of COVID-19 patients with age and gender matching without diabetes were selected as the non-diabetic group, and their clinical data and pulmonary CT characteristics were retrospectively analysed. RESULTS: Compared with the non-diabetic group, the proportion of patients in the diabetic group with chronic underlying disease was higher, and they were in more a serious condition at admission. Inflammation index and characteristics of glycolipid metabolism results showed that COVID-19 patients with diabetes mellitus were more likely to have elevated inflammatory markers and hypercoagulability, accompanied by hypoproteinaemia and glucose and lipid metabolism disorders. Treatment and clinic outcome results showed that the time of nucleic acid turning negative in the diabetic group was significantly longer than that in the non-diabetic group. Radiological data showed that COVID-19 combined with diabetes prolonged the time of detoxification in patients. CONCLUSION: COVID-19 patients with diabetes mellitus and chronic hypertension are associated with increased inflammatory markers and disorders of glucose and lipid metabolism. These patients tend to develop serious diseases, especially the rapid progression of CT lesions in the lungs of patients with a wide range ofinvolvement, and prolonged absorption and detoxification time.


Subject(s)
Betacoronavirus , Coronavirus Infections/diagnostic imaging , Diabetes Mellitus, Type 2/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Adult , Aged , COVID-19 , COVID-19 Testing , Clinical Laboratory Techniques , Coronavirus Infections/complications , Coronavirus Infections/diagnosis , Coronavirus Infections/pathology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/pathology , Female , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/pathology , Retrospective Studies , Risk Factors , SARS-CoV-2 , Tomography, X-Ray Computed
5.
Medicine (Baltimore) ; 99(36): e21596, 2020 Sep 04.
Article in English | MEDLINE | ID: covidwho-752040

ABSTRACT

INTRODUCTION: Globally, the coronavirus disease 2019 (COVID-19) is still spreading rapidly. At present, there are no specifically approved therapeutic agents or vaccines for its treatment. Previous studies have shown that the convalescent plasma therapy (CPT) is effective in patients with COVID-19. However, its efficacy in patients with persistently positive nucleic acid test is unknown. PATIENT CONCERNS: In this report, we present the clinical data of 5 critically ill COVID-19 patients admitted, between January 16 and February 26, 2020, in intensive care unit of Xiaogan Central Hospital. DIAGNOSIS AND INTERVENTIONS: All these patients had a persistently positive nucleic acid test and received CPT. All 5 patients had severe respiratory failure, and thus, required invasive mechanical ventilation. The median time from the onset of symptoms to initiating the CPT was 37 (Interquartile range, 34-44) days. OUTCOMES: Only 2 patients were cured and subsequently discharged, while 3 patients succumbed due to multiple organ failure. CONCLUSION: The time of initiating the CPT may be an important factor affecting its efficacy, and its therapeutic effect in the treatment of COVID-19, in the late stage, is limited.


Subject(s)
Coronavirus Infections/therapy , Critical Illness/therapy , Pneumonia, Viral/therapy , APACHE , Aged , Betacoronavirus , COVID-19 , Coronavirus Infections/mortality , Critical Illness/mortality , Female , Humans , Immunization, Passive , Intensive Care Units , Male , Middle Aged , Multiple Organ Failure/mortality , Nucleic Acid Amplification Techniques , Pandemics , Pneumonia, Viral/mortality , Respiration, Artificial , SARS-CoV-2 , COVID-19 Serotherapy
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