Introduction

The first case of a novel coronavirus (COVID-19) was detected in Wuhan, Hubei Province of China. After that, the rapid outbreak of the COVID-19 pandemic occurred in more than 203 locations around the world (Li et al. 2020). Previously, it was designated as “severe acute respiratory syndrome coronavirus 2” (SARS-CoV-2). However, the World Health Organization (WHO) termed it as coronavirus 2019 (COVID-19) disease. It is now known that COVID-19 causes pneumonia, respiratory infections, and even deaths in the population of adults and people with cardiovascular problems, diabetes, hypertension, respiratory disease, and malignancy (Bansal et al. 2020). Palliative care of patients and their families is aimed at avoiding them from the risks of COVID-19 worldwide. However, it has been observed that the current supply of personal protection equipment such as face masks, ventilators, and intensive care units may not be able to meet the projected demands. This nightmare scenario is being experienced throughout the world, including in developed countries such as the USA, UK, France, Italy, and Spain. The number of confirmed COVID-19 infection cases is increasing rapidly. As of May 14, 7,865,794 cases were confirmed worldwide, resulting in 432,394 deaths. China, including the countries mentioned earlier, has borne the brunt of this pandemic. Other than China, the USA, Brazil, Russia, India, the UK, Italy, France, and Spain have also been severely affected by the COVID-19 pandemic.

During the COVID-19 pandemic, the role of Industry 4.0 has been shown for the flexible production line by processing real-time information with the support of artificial intelligence (AI) and Internet of things (IoT) technologies. As a result of this, the designing and development processes for the production of medical equipment have been conducted rapidly (Javaid et al. 2020). In addition to AI and IoT, big data and 5G technologies have also been used to address the COVID-19 risks and develop patients’ recovery strategies. To support the decision makers, an AI-based check-up and screening method has also been implemented where possible, which could help physicians to perform earlier diagnosis of COVID-19 infections. East Asian countries such as Japan, Korea, and China have had higher recovery rates than European countries and the USA. The former countries have rapid penetration of the aforementioned technologies (Shaw et al. 2020).

The rapidly increasing COVID-19 pandemic is posing several challenges to different countries in the world. Among these challenges is the safety of the frontline medical staff. The safety of medical staff is paramount; they require strong quality personal protection equipment (PPEs) and disinfection solutions at all times, as they treat the COVID-19 patients (Tempe et al. 2020). Even in a recently published research, Ertl-Wagner et al. (2020) emphasized the availability of required PPEs in the radiology departments. Several studies highlight the safety of health workers and argue that medical professionals are at greater risks as they are involved in the noninvasive ventilation of COVID-19 patients (Haghani et al. 2020). Amid these rising challenges of COVID-19, the morale of medical staff is another concern, which should be considered while developing safety strategies against the COVID-19 infection (Tey et al. 2020). Prior to this research work, we have presented combined measures to control the pandemic in Wuhan city, China (Hasnain et al. 2020). There is no discussion on the emerging technologies concerning the COVID-19 pandemic in our previous study. Also, an extensive literature has been published on the research topic for the last several months. To bridge this research gap, we present a rapid review regarding the role of emerging technologies during this pandemic.

We have reviewed many of the published articles on COVID-19, and frontline medical staff alongside emerging technologies, to identify the roles of the technologies in the prevailing situation of the COVID-19 pandemic. This may help research scholars bridge the research gaps and propose extensions in the identified technologies to combat the ongoing outbreak of the COVID-19 pandemic.

Background

Severe acute respiratory-related coronavirus 2 (SARS-CoV-2) was announced as a pandemic on 13 March 2020, leading to unexpected health issues throughout the world. Moreover, this has become a socioeconomic burden. One of the significant issues with the COVID-19 pandemic was the diagnostic testing for timely decision-making (Morales-Narváez and Dincer 2020). Due to the rapidly evolving and novelty of the virus, disseminating accurate and high-quality information has increased in its importance. Librarians in academic health centers or hospitals were suited to face and help in emergent situations, but many of them had faced unfamiliar circumstances regarding COVID-19 disaster preparedness and response (Clifton et al. 2021).

The SARS-CoV-2 pandemic has spread similar to the wildfire. A large part of the world is under lockdown, and we look forward to intelligent and advanced technologies to reduce the adverse impacts of the pandemic. The best industries have become unsuccessful in providing suitable protective measures to their government. Academics believe that emerging technologies can urgently be used globally (Vaishya et al. 2020). Emerging technologies represent valuable tools in managing the different diseases in the current pandemic with limited resources. For instance, cryoablation therapy was suggested for patients who were anxious to delay surgery. Cryoablation therapy as technology has replaced breast cancer surgery during the pandemic (Holmes 2020). This technology has fewer psychosocial, cosmetic, and morbidity impacts.

Research method

To conduct a rapid review of recently published works, we followed the research method given in the study Simon et al. (2020). The proposed method was primarily based on PRISMA protocol (Moher et al. 2010). PRISMA protocol is based on 27 items. We used significant items of PRISMA protocol, including design, exclusion and inclusion criteria, search strategy, study selection, data extraction, and analysis.

Design

A timely survey of the chosen papers was performed by following the PRISMA guidelines, as shown in Fig. 1. The checklist and details of PRISMA guidelines are presented for review studies (Liberati et al. 2009). There are 27 items listed in the latter mentioned study. We have followed most of the guidelines to conduct a rapid review of the emerging literature on the emerging technologies and safety challenges of medical staff during the outbreak of the COVID-19 pandemic.

Fig. 1
figure 1

PRISMA flowchart diagram

Full size image

Exclusion criteria

Based on the proposed research method for this rapid review, we exclude those papers that discuss the safety challenges of the medical staff without discussing the COVID-19 pandemic. Articles written in languages other than English were also excluded. Moreover, we exclude papers with only abstracts since we cannot get details about the research without reading a full-length article. Extended versions of conference papers present more research information, and hence, we exclude any duplicate documents and retain the journal papers.

Inclusion criteria

We include those studies that discuss the role of emerging technologies along with discussions on the COVID-19 pandemic. Also, we include research articles, cohort and intervention studies, case studies, editorial, and opinion papers published between December 1, 2019, and April 24, 2021.

Search strategy

We performed searches in the most popular digital data repositories (PubMed, Science Direct, and Springer) by using the keywords, “role of technology” OR “digital technology,” AND “challenges of medical staff” OR “physicians” OR “nurses” AND “Corona Virus 2019” OR “COVID-19,” OR “Corona Virus 2019” between December 1, 2019, and April 24, 2021. Titles, abstracts, and full-text papers with a discussion on the COVID-19 infection were initially chosen for this paper. To find relevant studies pertaining to the research topic, we used search strings without involving the biased search process. A review paper suggests that only a biased selection of published studies is performed. This study involves a broad research process based on predefined search keywords and strings.

Study selection

One of the researchers applied search strings to the chosen data repositories. The screening of papers was performed by examining the title and abstracts by an author (MH), whereas, his colleague, author IG, conducted the screening of papers based on the full text of documents.

Data extraction

A bespoke form (see Table 1) was created in a Microsoft Word document. Data was extracted by two colleagues (MFP and IG). However, the quality of the included papers was not appraised due to the short time available for compiling the rapid review paper.

Table 1 Summary of the selected papers
Full size table

Analysis

Narrative analysis was performed by using the framework proposed in Downar and Seccareccia (2010), which focused on grouping the recommendations. Following data extraction and tabulation in Table 1, a narrative synthesis was conducted (Dabone et al. 2021). All the identified concepts and themes were arranged and grouped to synthesize significant themes. Two of four authors (MH and SRJ) were responsible for reviewing and discussing major identified themes.

Results

Summaries of the important studies are presented in Table 1. In the following section, we present the results and discussions of the reviewed studies. The first part of the section is aimed to present the results and discussions with regard to the safety challenges of frontline medical staff, and the second part presents results and discussions regarding emerging technologies and their role in the COVID-19 pandemic situation.

Table 1 presents a summary of each chosen study in this rapid review paper. The central idea presented in each chosen study is stated, along with the authors’ list and paper type. We also include findings and suggestions from reviewed literature. As mentioned earlier in the inclusion criteria, research articles, including editorial papers, short communication, commentary papers, review papers, and research papers have been included in this paper, and we did not exclude any published works that discussed the research topic.

As shown in Fig. 2, 18 papers (or 64%) are research papers, four papers (or 14%) are editorial papers, four papers (or 14%) are review papers, one paper (or 4%) is commentary paper, and one article (or 4%) is a short communication paper. Publishing trends on COVID-19 since December 2019 have been evidenced from research papers, including original research studies, case reports, proposed models, and review papers. In summary, it can be considered that the COVID-19 topic is in its initial phases of research because emerging literature is not totally focused on large and extended studies on COVID-19 prevention models and approaches.

Fig. 2
figure 2

Research article type

Full size image

In the following, we present results regarding identified emerging technologies as role players during pandemic situation.

Figure 3 presents the recently identified emerging technologies and their role in the prevailing COVID-19 pandemic situation. We have identified 11 major technologies, which have been studied in the published works. At this stage, no strong relationship between the recognized technologies or with medical technology has been established. However, the role of each technology shown in Fig. 3 is discussed in relation to the COVID-19 pandemic. Therefore, the mind map, as illustrated in Fig. 3, can be further extended to the applications of the identified technologies. Earlier, we have elaborated on the role of each identified technology; we also require the proposals of new approaches with the recognized technologies. The desired methods can be applied to the COVID-19 pandemic to minimize or reduce its adverse impacts on human lives. Among the identified technologies, the role of AI, IoT, telemedicine, and telehealth is obvious in comparison with the rest of the technologies.

Fig. 3
figure 3

Mind map of emerging technologies

Full size image

Figure 4 shows the mind map of the top 4 technologies, which include AI, IoT, telemedicine, and telehealth. Much has been known about the applications of AI and IoT technologies. Therefore, researchers can easily apply them to the COVID-19 pandemic situation to avert big losses. The lack of specialized physicians is a major challenge, and the proposal of AI techniques is bridging the gaps in the correct diagnosis of COVID-19 disease. In this regard, the AI-based model is helping physicians to detect and classify COVID-19 patients (Ozturk et al. 2020; Ucar and Korkmaz, 2020) . The model is efficient in using the chest X-ray images of people suspected of having the COVID-19 infection. Ribas et al. (2021) emphasized the restructuring of the diagnostic imaging department in Spain to enhance the frontline battling against the COVID-19 pandemic. This was required to meet the challenges of the COVID-19 pandemic.

Fig. 4
figure 4

Emerging technologies during the COVID-19 pandemic

Full size image

Table 2 illustrates the challenges faced by frontline medical staff at workplaces. We identified a number of studies, which highlight several challenges for the frontline medical staff. Among these challenges, the shortage of PPEs is a major concern for physicians and nurses working in COVID-19 infection departments. Every challenge has adverse effects on the persons involved in treating patients exposed to the COVID-19 infection.

Table 2 Safety challenges and their consequences
Full size table

Discussion

Safety challenges of frontline medical staff

Researchers stated that patients with “chronic kidney disease” (CKD) have more exposure to the COVID-19 infection. The clinical staff and particularly physicians are usually involved in the close monitoring of patients with CKD (Henry and Lippi, 2020). CKD seems to be more associated with the risk of severe COVID-19 disease. Therefore, CKD patients need extra care from medical staff to minimize the exposure to the virus. The role of physicians is worth mentioning here because the timely detection of signs of the COVID-19 infection can save the lives of suspected as well as many other people. It has been seen that people with diabetes and kidney diseases have higher chances of exposure to COVID-19.

A short communication paper highlights the provision of health services during the COVID-19 pandemic in China (Yang et al. 2020). The paper is focused on the role of professionals and online services in emergency and nonemergency situations in China. To combat the infection, the majority of the hospitals suspended nonemergency treatments and provided only emergency services. Eventually, the role of dental physicians changed to online services, and a significant proportion (69%) of physicians offered free online services. Moreover, the penetration of technology in the prevention of COVID-19 infection was higher in the eastern part of China in contrast to the western and central regions. The implications of the use of nonemergency dental services might be a leading effect on the increased dental care issues in the future.

During the outbreak of the COVID-19 pandemic, the protection of medical staff, including frontline physicians and nurses, is an issue that should be given the utmost attention and importance. Huang et al. (2020) stated that more than 3000 medical staff were infected by the coronavirus in China. Direct contact with COVID-19 infected people might be the cause of high infection rates among nurses in China. As a result, several young medical staff members died. As such, securing the lives of frontline medical staff members has proven to be a challenging task. Based on the safety challenges of frontline medical staff, it is suggested that protocols and guidelines need to be designed for the protection of physicians, nurses, and the rest of the medical staff who are fighting the COVID-19 disease.

Moreover, frontline nurses experienced positive and negative psychological emotions. In a recently published work, researchers identified that caregiver nurses faced the challenges of fatigue, helplessness, and discomfort due to highly intensive work (Sun et al. 2020). Potential stress and depression are reported among the nurses because they face the fear and concerns of patients’ family members. Consequently, they show positive emotions after negative emotions have occurred. To combat the arising situation of medical staff and particularly nurses with insomnia or anxiety, they are highly encouraged to seek help from psychotherapists. In addition to this, they have been advised to avoid unnecessary contact, which is crucial for the prevention of COVID-19 infection through cross-transmission.

In comparison with the administrative staff, medical staff were more prone to significant depression, fear, and anxiety. It has been stated that medical staff suffered the issues, as mentioned earlier, twice as much as the administrative staff (Lu et al. 2020). Limited studies have focused on the psychological effects of COVID-19 on the medical staff. It might be due to the lesser amount of available data on the topics of COVID-19 and mental stress. Physicians and nurses participating in the treatment of COVID-19 patients became more susceptible to psychological effects (Chen et al. 2021). Health researchers and other academic researchers rely more on the news from different sources. Moreover, researchers also worry about close contact with the medical staff and COVID-19 patients.

So far, we have discussed the role of medical staff and their safety challenges with regard to the COVID-19 infection from the perspective of China. In our research, we have included a paper that is based on the challenges of the COVID-19 outbreak in Singapore (Tey et al. 2020). Based on the history of the “severe acute respiratory syndrome” (SARS) coronavirus and the H1N1 epidemic, the Singapore government was well prepared to fight the virus. They used swift measures to break the chain of virus transmission. Since the death rate among cancer patients and diabetics remained higher for COVID-19, the medical staff and cancer patients were provided maximum protection against the COVID-19 epidemic.

Other than the safety challenges of medical staff, we include an overview of the emerging technologies as researched from the published papers, as follows:

Role of emerging technologies during the outbreak of the COVID-19 pandemic

Big data and geographic information systems

Big data and geographic information system (GIS) technologies played a vital role in generating the aggregated big data from multiple sources (Zhou et al. 2020). Besides, spatial tracking of confirmed death cases and regional transmission of the virus and spatial segmentation of virus epidemic information have been supportive in decision-making and have helped the relevant parties in taking adequate measures in the prevailing COVID-19 situation. Geographic information systems in this regard are more productive in data preparation, map production, and model construction with the appropriate route of technology. However, we still face challenges in adjusting technologies to prevent the widespread outbreak of the COVID-19 epidemic. For this, we need to propose and implement strategies that can provide extra benefits to users in controlling the transmission of the virus to different regions. Potential users of the technologies may include health workers. Among health workers, physicians and nurses are the most important users.

The Taiwanese government integrated the health insurance database with the custom databases of the travel history of users to identify cases. This way, they created big data analytics. Haleem et al. (2020) pointed out the immediate need for increasing the capacity of data storage of COVID-19 infection cases. The data stored can be further used to understand the means of spreading the virus and can be used for further research and development about the virus. Due to the unavailability of ample data storage space, essential data may be lost. Therefore, big data needs to be used to analyze the differences, patterns, trends, and associations in the COVID-19 infection cases. Later, this data analysis can be used to propose techniques to control viral diseases similar to the COVID-19 infection.

QR code scanning

QR code scanning is another valuable addition to the use of digital technologies that helped in the classification of travelers based on their travel history and infection risk in the past few days. More countries need to gear up to use such digital technologies in fighting against the COVID-19 pandemic (Ienca & Vayena 2020; Wang et al. 2020). The ultimate impact of the aforementioned technologies remained productive in the classification of travelers with low to high risks. Short message service (SMS) was used to update travelers with low risk for their fast immigration clearance, while those with high risks were asked to be quarantined at homes.

Artificial intelligence (AI)

Ivanov (2020) in his research pointed out the potential of digital technologies in controlling the rapid increase of COVID-19 worldwide. For instance, the supply chain system can be further improved during the crisis by doing innovative work on the available data. Among the many emerging technologies, areas with a particular focus can be artificial intelligence (AI), data analytics, and machine learning. Although the role of each area is identified in the literature, it is yet unknown how these technologies can be applied to the supply chain area in a realistic manner in the epidemic situation. Moreover, in recent research, Haleem et al. (2021) identified eleven major AI applications, and they suggested predicting the COVID-19 patients from cardiac-based approaches.

Shaffiee Haghshenas et al. (2020) pointed out the adverse impacts of COVID-19 on society, the environment, and economics. Their research prioritizes the impacting factors on the environment. To prioritize the impacting factors, artificial neural networks (ANN) and differential evolution (DE) algorithms were used. Furthermore, two ANN models, including the ANN-PSO and ANN-DE, were compared with regard to their accuracies. The former model of ANN with particle swarm optimization (PSO) showed better results in prioritizing variables for the prediction of confirmed COVID-19 cases. Based on the research mentioned earlier, other algorithms in the domain of AI can be selected for feature selection of different urban and climate parameters in future works.

Deep learning models are widely used to explore the intricate hidden patterns of images. In comparison with the conventional machine learning (ML) models, deep learning models show a higher accuracy in the detection of image patterns. The convolutional neural network (CNN) model is mainly used in different research areas. Vaid et al. (2020) developed a CNN model to predict the disease categorization and structural abnormalities precisely. Both of these challenges are key to uncovering the hidden patterns. The CNN model remained useful for the detection of COVID-19 patients’ anterior–posterior radiographs. The main advantage of using the CNN model is that, due to the automated detection of structural abnormalities in chest X-rays, manual interaction by radiologists has been minimized. As the CNN model shows a high prediction accuracy, policymakers need to take note of such alternatives to find an appropriate path during pandemic conditions.

Internet of things (IoT) and blockchain

Internet of things and blockchain are other major technologies, which can be applied to tackle clinical issues and disease in times of crisis. Ting et al. (2020) explored the applications of the technologies, as mentioned earlier. They stated that IoT is a better platform that allows the public and private health agencies to access the necessary data for monitoring the COVID-19 disease. In this way, it can efficiently monitor the changing situation of COVID-19 patients (Singh et al. 2020). The latter mentioned research highlights the tracking of infection of individuals. Furthermore, it reduces the workload on the medical staff. Worldometers and centers for system science and engineering are the prime examples of IoT, which are helping the health professionals with real-time updates on the COVID-19 infection, in addition to helping in tracking the real-world map of COVID-19 infection. For modeling studies on viral activities, IoT is also making its contribution to guide policymakers in preparing them against the outbreak.

Internet of medical things (IoMT) has been deployed with other approaches to curb the spread of the pandemic. This may improve the safety of frontline staff and decrease the mortality rate. IoMT emerged from the merger of AI, blockchain, and big data technologies (Aman et al. 2020) . It would be useful if security includes a major element in its design that may ensure the privacy and safety of humanity.

Social media platforms

WhatsApp, Facebook, and Twitter as social media platforms are playing their key role in informing the users and clarifying the uncertainties regarding the actual cases, deaths, and recovered cases around the world. Contrary to it, de Bruin et al. (2020) stated that due to the people being increasingly connected across the globe because of social media, there is a higher probability of spreading misinformation over the social media platforms. This creates problems for policymakers in sharing the current and updated information with users and maintaining best practices. Risk mitigation policies cannot bring the expected results. Dsouza et al. (2020) recommended that social media platforms should be used with great care to promote the positive mental health of patients and normal people to combat the COVID-19 pandemic. Morshed et al. (2021) emphasized Twitter data analysis from real-time ride-hailing services’ users. They aimed to know the customers’ behavioral patterns to improve the business model of ride-hailing services. It is vital to know public sentiments and their reactions, and social media has a good share in reducing public concerns. However, the prevailing situation of the COVID-19 pandemic has a significant impact on the services.

Telemedicine and 5G technology

Telemedicine is aimed at expanding the opportunities for healthcare professionals to access the rural and remote areas’ populations infected with the COVID-19 infection (Smith et al. 2020). Telemedicine relies on technology to benefit the health professionals and target population in the prevailing situation of the COVID-19 infection. Due to the increasing load on health professionals and urgency in treating infected people, while telemedicine usage has increased, its users are largely inexperienced. To overcome this lack and gap in the use of telemedicine, Smith et al. (2020) proposed a method of implementing a telemedicine platform. They developed a toolkit along with its eight essential components. The method proposed in the latter study reduces the traveling cost of approaching populations affected with the COVID-19 infection.

It also increases the number of visits to healthcare professionals. The USA, in response to the pandemic, relaxed several restrictions and provided additional funding with regard to telemedicine (Contreras et al. 2020). It is expected that telemedicine and telesurgery will become matured because of the fact that consumers’ health devices would soon be connected with 5G data connectivity. The main advantage of 5G technology is its high-speed data transmission in comparison with 4G technology. As a result of the high-speed data transfers, latency between an input of surgery and anticipated motion can be decreased. Telemedicine is also used to evaluate the diagnosis and treatment of patients after discharge when social distancing is required. As a result, the admission rate in hospitals decreases (Nan et al. 2021). Critical diagnostic and monitoring of remote patients are other aspects of telemedicine that involve smartphone, Bluetooth, and global positioning system technologies. One of the significant challenges is the appropriate technology needed for telemedicine, i.e., access to the internet. Tandon et al. (2021) stated that many Indian COVID-19 patients could not access high-speed internet in their homes. Technology illiteracy and resistance to a new system were identified as other significant obstacles to the adoption of telemedicine.

Telehealth

In a recently published research, Bojdani et al. (2020) have shown that telehealth is widely being used throughout the world, and technology is supporting health professionals with regard to outpatient care. Health professionals adapting to telehealth have faced difficulties in adjusting to webcam-based services. Trained physicians work from their homes regarding using telehealth and add their increasing support to combat the COVID-19 pandemic. On the other hand, patients also face difficulties in accessing the aforementioned technology because their smartphones have no access to faster internet. Overall, many COVID-19 patients have benefited from using this technology. Moreover, patients have eliminated transportation barriers. Legal constraints have been faced while benefiting children of different ages from telehealth. These legal constraints cover issues with licensing and gaps in insurance policy coverage (Goldschmidt 2020). Federal and state governments in the USA were asked to relax telehealth rules to support the children from rural areas and across the state lines. Therefore, the COVID-19 pandemic exercised a paradigm shift in telehealth laws with regard to insurance reimbursement.

Nanotechnology

Nanotechnology and its emerging material are contributing to reducing the size of COVID-19 infection testing systems. The emerging nanotechnology is expected to help in reducing the size of materials required by the expected patients. This process makes the process of COVID-19 infection testing easier and practical (AlMaadeed 2020). This process is not so matured yet and requires a worldwide contribution to the improvement of human health by combating and preventing the disease outbreak.

Shaw et al. (2020) also highlighted the role of emerging technologies, including AI, big data, robotics, 5G, blockchain, and automated vehicles, at the advanced phase of the technological intervention. Researchers in the research emphasized the appropriate linking of the medical technologies with the earlier mentioned technologies. However, the means of integrating emerging technologies with medical technology have not been mentioned. Therefore, this topic must be considered for research in future works.

Conclusion and implications

The safety of medical staff can be negatively affected by the extreme pressure of COVID-19 patients and their families. Medical personnel, particularly frontline nurses, have both negative and positive emotions during the COVID-19 epidemic. The role of technology in the emerging viral situation has been identified in this rapid review paper. Big data, AI, IoT, QR code scanning, social media platforms, 5G, blockchain, nanotechnology, telehealth, and telemedicine platforms were identified as key role-playing technologies in this rapid review paper. The findings of this rapid review study further suggest proposing policies and guidelines to improve the health and safety of frontline medical staff, in future research works.

Below, we present the implications from existing literature regarding the COVID-19 pandemic:

  • To win the war against the COVID-19 pandemic, it is recommended that all necessary resources need to be provided to frontline medical staff, just as a nation supports and encourages its soldiers during wartime (Vaishya and Vaish 2020).

  • Moreover, safety at the core of frontline medical staff and a team-based approach is recommended with some guidelines (Takhar et al. 2020). According to these guidelines, no team member is allowed to work more than 1 day per week in the critical situation of the COVID-19 pandemic. Rotation of staff can minimize the exposure to viral disease and can also ensure the consistency in the expertise of team members across a week.

  • Proper and practical training of physicians, nurses, and other medical staff is necessary in all cases; and more consideration should be given to the training and practice of the frontline medical staff handling high-risk patients (Mahmud et al. 2020).

  • Web technology is recommended, which can help in bringing visitors to the COVID-19 patient room by using iPads and thus reducing visitors’ physical load on hospitals (Kapoor et al. 2020).

  • For real information exchange between health workers, ministries, and administrative portals, interactive communication tools can be used. It can help healthcare staff working in remote areas to fight the COVID-19 pandemic by enabling them to share information with the higher authorities.

  • In order to overcome the shortage of PPEs, the use of one mask for several procedures has been considered. However, the sterilization of reusable PPEs is mandatory.

COVID-19 has been found a highly contagious disease. In the third week of April 2021, 5.2 million new cases were reported along with 83,000 deaths. Except for European regions, the COVID-19 pandemic has been reported higher in other areas, particularly India (World Health Organization 2021). Physicians, healthcare workers, and nurses still have an enormous threat from viruses and remain more susceptible to the infection. It is believed that emerging technologies have positive effects on the health of medical staff.