Engineering principles for rationally design therapeutic strategies against hepatocellular carcinoma.

The search for new therapeutic strategies against cancer has favored the emergence of rationally designed treatments. These treatments have focused on attacking cell plasticity mechanisms to block the transformation of epithelial cells into cancerous cells. The aim of these approaches was to control particularly lethal cancers such as hepatocellular carcinoma. However, they have not been able to control the progression of cancer for unknown reasons. Facing this scenario, emerging areas such as systems biology propose using engineering principles to design and optimize cancer treatments. Beyond the possibilities that this approach might offer, it is necessary to know whether its implementation at a clinical level is viable or not. Therefore, in this paper, we will review the engineering principles that could be applied to rationally design strategies against hepatocellular carcinoma, and discuss whether the necessary elements exist to implement them. In particular, we will emphasize whether these engineering principles could be applied to fight hepatocellular carcinoma.

Molecular landscape for risk prediction and personalized therapeutics of castration-resistant prostate cancer: at a glance.

Prostate cancer (PCa) is commonly occurred with high incidence in men worldwide, and many patients will be eventually suffered from the dilemma of castration-resistance with the time of disease progression. Castration-resistant PCa (CRPC) is an advanced subtype of PCa with heterogeneous carcinogenesis, resulting in poor prognosis and difficulties in therapy. Currently, disorders in androgen receptor (AR)-related signaling are widely acknowledged as the leading cause of CRPC development, and some non-AR-based strategies are also proposed for CRPC clinical analyses. The initiation of CRPC is a consequence of abnormal interaction and regulation among molecules and pathways at multi-biological levels. In this study, CRPC-associated genes, RNAs, proteins, and metabolites were manually collected and integrated by a comprehensive literature review, and they were functionally classified and compared based on the role during CRPC evolution, i.e., drivers, suppressors, and biomarkers, etc. Finally, translational perspectives for data-driven and artificial intelligence-powered CRPC systems biology analysis were discussed to highlight the significance of novel molecule-based approaches for CRPC precision medicine and holistic healthcare.

Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems.

The development of artificial intelligence (AI) has revolutionised the medical system, empowering healthcare professionals to analyse complex nonlinear big data and identify hidden patterns, facilitating well-informed decisions. Over the last decade, there has been a notable trend of research in AI, machine learning (ML), and their associated algorithms in health and medical systems. These approaches have transformed the healthcare system, enhancing efficiency, accuracy, personalised treatment, and decision-making. Recognising the importance and growing trend of research in the topic area, this paper presents a bibliometric analysis of AI in health and medical systems. The paper utilises the Web of Science (WoS) Core Collection database, considering documents published in the topic area for the last four decades. A total of 64,063 papers were identified from 1983 to 2022. The paper evaluates the bibliometric data from various perspectives, such as annual papers published, annual citations, highly cited papers, and most productive institutions, and countries. The paper visualises the relationship among various scientific actors by presenting bibliographic coupling and co-occurrences of the author's keywords. The analysis indicates that the field began its significant growth in the late 1970s and early 1980s, with significant growth since 2019. The most influential institutions are in the USA and China. The study also reveals that the scientific community's top keywords include 'ML', 'Deep Learning', and 'Artificial Intelligence'.

A qualitative assessment of Ukraine's trauma system during the Russian conflict: experiences of volunteer healthcare providers.

BACKGROUND: The Russian Federation's invasion of Ukraine is characterized by indiscriminate attacks on civilian infrastructure, including hospitals and clinics that have devastated the Ukrainian health system putting trauma care at risk. International healthcare providers responded to the need for help with the increasing numbers of trauma patients. We aimed to describe their experiences during the conflict to explore the gaps in systems and care for trauma patients to refine the Global Trauma System Evaluation Tool (G-TSET) tool. METHODS: We conducted qualitative key informant interviews of healthcare providers and business and logistics experts who volunteered since February 2022. Respondents were recruited using purposive snow-ball sampling. Semi-structured, in-depth interviews were conducted virtually from January-March 2023 using a modified version of the G-TSET as an interview guide. Interviews were transcribed verbatim and deductive thematic content analysis was conducted using NVivo. FINDINGS: We interviewed a total of 26 returned volunteers. Ukraine's trauma system is outdated for both administrative and trauma response practices. Communication between levels of the patient evacuation process was a recurrent concern which relied on handwritten notes. Patient care was impacted by limited equipment resources, such as ventilators, and improper infection control procedures. Prehospital care was described as highly variable in terms of quality, while others witnessed limited or no prehospital care. The inability to adequately move patients to higher levels of care affected the quality of care. Infection control was a key issue at the hospital level where handwashing was not common. Structured guidelines for trauma response were lacking and lead to a lack of standardization of care and for trauma. Although training was desired, patient loads from the conflict prohibited the ability to participate. Rehabilitation care was stated to be limited. CONCLUSION: Standardizing the trauma care system to include guidelines, better training, improved prehospital care and transportation, and supply of equipment will address the most critical gaps in the trauma system. Rehabilitation services will be necessary as the conflict continues into its second year.

Advancements in artificial intelligence-driven techniques for interventional cardiology.

This paper aims to thoroughly discuss the impact of artificial intelligence (AI) on clinical practice in interventional cardiology (IC) with special recognition of its most recent advancements. Thus, recent years have been exceptionally abundant in advancements in computational tools, including the development of AI. The application of AI development is currently in its early stages, nevertheless new technologies have proven to be a promising concept, particularly considering IC showing great impact on patient safety, risk stratification and outcomes during the whole therapeutic process. The primary goal is to achieve the integration of multiple cardiac imaging modalities, establish online decision support systems and platforms based on augmented and/or virtual realities, and finally to create automatic medical systems, providing electronic health data on patients. In a simplified way, two main areas of AI utilization in IC may be distinguished, namely, virtual and physical. Consequently, numerous studies have provided data regarding AI utilization in terms of automated interpretation and analysis from various cardiac modalities, including electrocardiogram, echocardiography, angiography, cardiac magnetic resonance imaging, and computed tomography as well as data collected during robotic-assisted percutaneous coronary intervention procedures. Thus, this paper aims to thoroughly discuss the impact of AI on clinical practice in IC with special recognition of its most recent advancements.

Breaking Barriers: AI's Influence on Pathology and Oncology in Resource-Scarce Medical Systems.

The application of artificial intelligence to improve the access of cancer patients to high-quality medical care is one of the goals of modern medicine. Pathology constitutes the foundation of modern oncologic treatment, and its role has expanded far beyond diagnosis into predicting treatment response and overall survival. However, the funding of pathology is often an afterthought in resource-scarce medical systems. The increased digitalization of pathology has paved the way towards the potential use of artificial intelligence tools for improving pathologist efficiency and extracting more information from tissues. In this review, we provide an overview of the main research directions intersecting with artificial intelligence and pathology in relation to oncology, such as tumor classification, the prediction of molecular alterations, and biomarker quantification. We then discuss examples of tools that have matured into clinical products and gained regulatory approval for clinical use. Finally, we highlight the main hurdles that stand in the way of the digitalization of pathology and the application of artificial intelligence in pathology while also discussing possible solutions.

How to promote the healthy development of continuous participation in smart medical and elderly care systems: The dual perspective of perceived value and risk.

Objective: In an environment with an ageing population, elderly care has become a focus of social attention. The combination of smart medical care with elderly care and how to encourage the elderly to participate in the systems and enjoy a higher quality of life have become social priorities. We aimed to analyse the perceived risk and value associations of self-health management-conscious older adults regarding smart medical and elderly care systems (SMECS) and to explore the mechanisms of SMECS affecting them. Methods: Using a Likert scale, we conducted a questionnaire-based survey and collected 387 valid responses. This was a cross-sectional study, and various key data were collected relating to the continued participation of older users in SMECS. Partial least squares structural equation modelling was used to explore the data. Results: According to the data analysis, price, operability and personalisation all have significant correlations with perceived value and perceived risk. Perceptions of value and risk influence the continuous participation of the elderly, and this has a potentially positive effect on their mental and physical health. Conclusions: Under the home-based care model, economic factors and technological accessibility were important factors affecting the elderly's continuous participation in SMECS. A personalised programme for the elderly warrants attention. In addition, the effect of perceived risk from the health-related systems was stronger than their perceived value. This research can help elderly users bridge the digital divide and enjoy smart health and medical care.

Differential Perceptions of What Constitutes a Medical Error Associated with Electronic Medical Records.

Perceptions of errors associated with healthcare information technology (HIT) often depend on the context and position of the viewer. HIT vendors posit very different causes of errors than clinicians, implementation teams, or IT staff. Even within the same hospital, members of departments and services often implicate other departments. Organizations may attribute errors to external care partners that refer patients, such as nursing homes or outside clinics. Also, the various clinical roles within an organization (e.g., physicians, nurses, pharmacists) can conceptualize errors and their root causes differently. Overarching all these perceptual factors, the definitions, mechanisms, and incidence of HIT-related errors are remarkably conflictual. There is neither a universal standard for defining or counting these errors. This paper attempts to enumerate and clarify the issues related to differential perceptions of medical errors associated with HIT. It then suggests solutions.

Introducing Computerized Technology to Nurses: A Model Based on Cognitive Instrumental and Social Influence Processes.

The use of computerized technologies as an integral part of nursing has become a reality in the health care system. Studies present different approaches that range from accepting technology as a health promoter to an approach that opposes computerization. This study, which examined social and instrumental processes that influence nurses' attitudes toward computer technology, will present a model for the optimal assimilation of computer technology in the nurses' work environment. The study, which included 224 participants, was designed as a mixed method and included questionnaires and semi-structured interviews of participants. The data were analyzed to understand the factors that influenced nurses' attitudes toward the use of computer technology. The research findings show that the more clearly nurses understand the positive impact of using technology on the quality of care, the more positive their response to changes in registration and reporting methods. It is not surprising that the research findings found that cognitive instrumental processes and social influence processes have a positive effect on the perceived usefulness of using computer technologies. The unusual finding was the fact that cognitive instrumental processes were the main factor influencing the assimilation of computer technology even though nursing is a social profession.

Policies for life sciences and healthcare in the global health framework.

BACKGROUND: At a time when welfare contracts are in crisis, it is timely to discuss different forms of disruptive innovation and responses of medical finance and economic systems, especially adjusting with new instruments for recovery and innovative solutions for health reforms. OBJECTIVE: The objective of this paper is to propose some ways to develop a framework for policy changes affecting life science sectors and healthcare. It aims to analyze the types of relationships between health or medical systems and the economic systems. METHOD: Medical systems used to be generally closed systems, but the new forms of delivery, especially with increase of telehealth and Mobile health (Mhealth) solutions (boosted by the COVID-19 pandemic, such as online consultations), have open traditional boundaries and generate more interactions with economic systems. It also led to new institutional arrangements at federal, national, or local levels, with different power games according to the history of institutions and cultural differences between countries. RESULTS: Which system dynamics prevail will also depend on the political systems in place, for instance very innovative open innovation systems dominated by private players such as the USA empower individuals and favor intuitive and entrepreneurial states. On the other hand, systems historically dominated by socialized insurance or former communist countries, have investigated "attunements" or adaptation mechanisms in system intelligence. However, systemic changes are not only implemented by traditional rulers (government agencies, federal reserve banks) but also face the emergence of systemic platforms dominated by Big Tech players. The new agendas expressed for instance in the United Nation (UN) framework and the set of Sustainable Development Goals (SDGs) for climate change and sustainable growth, also require global adjustment of supply and demand, in a context where the traditional drug/vaccine split is challenged by the new technologies (e.g., mRNA technologies). Investment for drug research led to the development of COVID-19 vaccines, but also potential cancer vaccines. Finally, welfare economics is increasingly criticized among economist circles; it requires new design for global value assessment framework, facing growing inequalities and inter-generational challenges in aging populations. CONCLUSION: This paper contributes to new models of developments and different frameworks for multiple stakeholders with major technological changes.

An application of optimal control in medical systems: optimal investment strategy in doctors.

Health care is ever more important with the aging population and with the increased awareness of the importance of the medical systems due to the corona crisis that showed the capacity of the health care infrastructure, especially in terms of numbers of health care personnel such as doctors, was not sufficient. Assuming that the number of doctors per patient is one of the determinants of patient satisfaction, optimal investments in new doctors, specialist doctors and foreign doctors are analyzed. Optimal Control Theory is employed to determine the optimal investment strategy for new doctors (new graduates), specialists and foreign doctors to maximize the net (of costs) patient satisfaction over a fixed time horizon. It is found that a nation with an insufficient number of total doctors and specialist doctors at the beginning of the planning horizon should increase the investment in new doctors as a quadratic function of time, increase the local specialist doctors linearly, while employing foreign doctors as to equate their cost to the marginal satisfaction of patients.

Nonfatal drowning-related hospitalizations and associated healthcare expenditure in India: An analysis of nationally representative survey data.

BACKGROUND: Drowning is a global public health challenge, with significant burden in low- and middle-income countries. There are few studies exploring nonfatal drowning, including the economic and social impacts. This study aimed to quantify unintentional drowning-related hospitalization in India and associated healthcare expenditure. METHOD: Unit level data on unintentional drowning-related hospitalization were obtained from the 75th rounds of the National Sample Survey of Indian households conducted in 2018. The outcome variables were indices of health care cost such as out of pocket expenditure (OOPE), health care burden (HCB), catastrophic health expenditure (CHE), impoverishment, and hardship financing. Descriptive statistics and multivariate analysis were conducted after adjusting for inflation using the pharmaceutical price index for December 2020. The association of socio-demographic characteristics with the outcome variable was reported as relative risk with 95% CI and expenditure reported in Indian Rupees (INR) and United States dollars (USD). RESULTS: 174 respondents reported drowning-related hospitalization (a crude rate of 15.91-31.34 hospitalizations per 100,000 population). Proportionately, more males (63.4%), persons aged 21-50 years (44.9%) and rural dwelling respondents (69.9%) were hospitalized. Drowning-related hospitalization costs on average INR25,421 ($345.11USD) per person per drowning incident. Costs were higher among older respondents, females, urban respondents, and longer lengths of hospital stays. About 14.4% of respondents reported hardship financing as a result of treatment costs and 9.0% of households reported pushed below the poverty line when reporting drowning-related hospitalization. CONCLUSIONS: Drowning can be an economically catastrophic injury, especially for those already impacted by poverty. Drowning is a significant public health problem in India. Investment in drowning prevention program will reduce hospitalization and economic burden. PRACTICAL APPLICATIONS: This study provides support for investment in drowning prevention in India, including a need to ensure drowning prevention interventions address the determinants of health across the lifespan.

The Medical Nemesis of Primary Health Care Implementation: Evidence From Ghana.

Primary Health Care (PHC), based on the Alma Ata declaration, calls for the movement of responsibility, resources, and control away from medical systems and curative measures toward health promotion. However, PHC implementation in practice appears to be heavily influenced by medical systems with its own attendant effects on the attainment of PHC goals. This study therefore examines the extent and effects of medical systems influence on PHC implementation in Ghana. The study uses the thematic framework approach to qualitative data analysis to analyze data collected from PHC managers through interviews. Ethical clearance for the study was obtained from the Noguchi Memorial Institute for Medical Research. Findings suggest that PHC in practice is tied to the apron-strings of medical systems. While this has catalyzed successes in disease control programs and other medicine-based interventions, it has swayed PHC from its intended shift toward health promotion. Community ownership, participation, and empowerment in PHC is therefore lost in the maze of medical systems which reserves power over PHC decision making and implementation to medical professionals while focusing attention on treatment and curative services. Ultimately, PHC has gradually metamorphosed into mini-clinics instead of the revolutionary community-driven promotive services espoused by Alma Ata with concomitant effects on the attainment of Universal Health Coverage. Further, findings show how gradually, the primary in PHC is being used as a descriptor of the first or basic level of hospital-based care instead of a first point of addressing existing health problems using preventive, promotive, and other community driven approaches. Without a reorientation of health systems, significant efforts and resources are channeled toward empowering health workers instead of local communities with significant effects on the long term sustainability of health efforts and the attainment of UHC. The study recommends further studies toward practical means of reducing the influence of medical systems.

The effect of My Health Record use in the emergency department on clinician-assessed patient care: results from a survey.

BACKGROUND: The emergency department has been a major focus for the implementation of Australia's national electronic health record, known as My Health Record. However, the association between use of My Health Record in the emergency department setting and patient care is largely unknown. The aim of this study was to explore the perspectives of emergency department clinicians regarding My Health Record use frequency, the benefits of My Health Record use (with a focus on patient care) and the barriers to use. METHODS: All 393 nursing, pharmacy, physician and allied health staff employed within the emergency department at a tertiary metropolitan public hospital in Melbourne were invited to participate in a web-based survey, between 1 May 2021 and 1 December 2021, during the height of the Delta and Omicron Covid-19 outbreaks in Victoria, Australia. RESULTS: Overall, the survey response rate was 18% (70/393). Approximately half of the sample indicated My Health Record use in the emergency department (n = 39, 56%, confidence interval [CI] 43-68%). The results showed that users typically only engaged with My Health Record less than once per shift (n = 15, 39%, CI 23-55%). Just over half (n = 19/39, 54%, CI 32-65%) of all participants who use My Health Record agreed they could remember a time when My Health Record had been critical to the care of a patient. Overall, clinicians indicated the biggest barrier preventing their use of My Health Record is that they forget to utilise the system. CONCLUSION: The results suggest that My Health Record has not been adopted as routine practice in the emergency department, by the majority of participants. Close to half of self-identified users of My Health Record do not associate use as being critical to patient care. Instead, My Health Record may only be used in scenarios that clinicians perceive will yield the greatest benefit-which clinicians in this paper suggest is patients with chronic and complex conditions. Further research that explores the predictors to use and consumers most likely to benefit from use is recommended-and strategies to socialise this knowledge and educate clinicians is desperately required.

A review of COVID-19's impact on modern medical systems from a health organization management perspective.

The novel SARS-CoV-2 (COVID-19) disrupted many facets of the healthcare industry throughout the pandemic and has likely permanently altered modern healthcare delivery. It has been shown that existing healthcare infrastructure influenced national responses to COVID-19, but the current implications and resultant sequelae of the pandemic on the organizational framework of healthcare remains largely unknown. This paper aims to review how aspects of contemporary medical systems - the physical environment of care delivery, global healthcare supply chains, workforce structures, information and communication systems, scientific collaboration, as well as policy frameworks - evolved in the initial response to the COVID-19 pandemic.

Predictors of clinician use of Australia's national health information exchange in the emergency Department: An analysis of log data.

OBJECTIVE: This study explores patient and context related factors associated with use of Australia's national personally controlled Health Information Exchange (HIE), My Health Record, by emergency department (ED) clinicians. MATERIALS AND METHODS: A retrospective analysis explored secondary routinely-collected data including all patients who presented (between August 2019-2021) to the ED at a not-for-profit hospital in Melbourne. Presentation data were linked to the HIE access log-data, and human resources data. The primary outcome indicated HIE access by an ED pharmacist, doctor or nurse, within 3 days of the patient presenting to the ED, or not. Nine variables were explored with logistic regression, representing patient (gender, age, diagnosis) and other factors (presentation time, arrival method, referral, acuity/triage, length of stay, admitted into hospital). RESULTS: HIE is accessed in 17.43% of patient presentations to the ED, led by pharmacists (15.60%). Overall, as demonstrated in themultivariable analysis, increased HIE access was associated with increasing age, with the biggest effect for 75-84-year old's (odd's ratio 26.15; 95% confidence interval 15.37-44.50), when compared to < 4 years of age. HIE access was also significantly and positively associated with patients who were later admitted into hospital from theED (4.96; 4.61-5.34). CONCLUSION: The results suggest users of HIE in the ED employ the system to meet their needs, but not for all patients. To maximise value derived from HIE use, clinicians should target system access for patients where the benefit of accessing the record outweighs the cost - this research suggests that is for patients who are older in age and are likely to be admitted, potentially linked to greater condition complexity. If the use of a HIE is to improve the provision of care in the ED, the key stakeholders governing patient information within the HIE need to focus on improving clinician recording behaviours for older people and those suffering from complex medical conditions. Doctors and nurses lag behind with respect to the use of the HIE by pharmacists. Therefore, a focus on encouraging HIE engagement across these clinician groups is drastically required.

Development of a Visualization Tool for Healthcare Decision-Making using Electronic Medical Records: A Systems Approach to Viewing a Patient Record.

Healthcare delivery systems are widely accepted as socio-technical systems. Unlike other socio-technical systems, healthcare systems leave very little decision-making to technical automation and control. Instead, the healthcare delivery system relies on human healthcare resources for decision-making. Human decision-making is imperative to the clinical delivery of care to patients and to the operational processes that support care delivery, quality improvement, and other organizational management activities. For these clinical and operational activities, human resources make healthcare decisions using healthcare data typically housed in electronic medical records (EMRs). Unfortunately, EMR systems were first designed with the functional capability to store data, and, second to a lesser degree, to retrieve data. The literature recognizes the need to improve the retrieval of information from EMR systems. More specifically, there remains the need to directly view a patient's holistic health and healthcare trajectory. At this time, decision-makers are left to mentally build this holistic picture in their mind by sequentially clicking through many sections of the EMR. Therefore, in this paper, we develop a visualization tool to organize and present an individual's health and healthcare trajectory by describing a patient record holistically from a system architecture perspective. This approach is based on a previously developed system model for healthcare delivery and individual health outcomes.

Role of Alternative Medical Systems in Adult Chronic Kidney Disease Patients: A Systematic Review of Literature.

There is a growing interest in the use of alternative medical systems (AMS), such as traditional Chinese medicine (TCM), ayurveda, homeopathy, and naturopathy, among chronic kidney disease patients. This review summarizes the efficacy and safety of AMS interventions in chronic kidney disease (CKD) patients. A systematic review was conducted in MEDLINE, Embase, Scopus, CINAHL, CENTRAL, and PsycINFO in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Synthesis without meta-analysis (SWiM) guidelines. Randomized controlled trials (RCTs) which evaluated the use of AMS among adult CKD patients were included. The efficacy of each AMS was assessed based on improvement in biochemical markers or reduction in symptom severity scores. All adverse reactions were recorded. Of the 14,583 articles retrieved, 33 RCTs were included. TCM (n=20) and ayurveda (n=6) were the most well-studied. Majority of studies (66.7%) had a sample size <100. Common indications evaluated included improvement in renal function (n=12), proteinuria (n=5), and uremic pruritus (n=5). Among TCM, acupuncture and syndromes-based TCM granules formulation were shown to improve estimated glomerular filtration rate (eGFR) by 5.1-15.5% and 7.07-8.12% respectively. Acupuncture reduced uremic pruritus symptoms by 54.7-60.2% while Huangkui, Shenqi granules, and Tripterygium wilfordii Hook F reduced proteinuria by 18.6-50.7%, 61.8%, and 32.1% respectively. For Ayurveda, camel milk and Nigella sativa oil improved eGFR by 16.9% and 86.8%, respectively, while capsaicin reduced pruritus scores by 84.3%. Homeopathic verum medication reduced pruritus scores by 29.2-41.5%. Nausea was the most common adverse effect reported with alpha-keto amino acids (0.07%), Nigella sativa oil (7.04%), and silymarin (10%). TCM and ayurveda were more well-studied AMS therapies that demonstrated efficacy in CKD patients. RCTs with larger sample sizes are needed to ascertain the efficacy and safety of promising AMS.

Neurosurgical Admission Later Than 4 h After the Emergency Call Does Not Result in Worse Long-Term Outcome in Subarachnoid Haemorrhage.

Background: Few studies have investigated the importance of the time interval between contact to the emergency medical service and neurosurgical admission in patients with spontaneous subarachnoid haemorrhage. We hypothesised that longer time to treatment would be associated with an increased risk of death or early retirement. Methods: This was a retrospective observational study with 4 years follow-up. Those who reached a neurosurgical department in fewer than 4 h were compared with those who reached it in more than 4 h. Individual level data were merged from the Danish National Patient Register, medical records, the Copenhagen Emergency Medical Dispatch Centre, the Civil Registration System, and the Ministry of Employment and Statistics Denmark. Patients were ≥18 years and had a verified diagnosis of spontaneous subarachnoid haemorrhage. The primary outcome was death or early retirement after 4 years. Results: Two hundred sixty-two patients admitted within a three-and-a-half-year time period were identified. Data were available in 124 patients, and 61 of them were in their working age. Four-year all-cause mortality was 25.8%. No significant association was found between time to neurosurgical admission and risk of death or early retirement (OR = 0.35, 95% confidence interval [CI]: 0.10-1.23, p = 0.10). Conclusion: We did not find an association between the time from emergency telephone call to neurosurgical admission and the risk of death or early retirement.

Operating an eHealth System for Prehospital and Emergency Health Care Support in Light of Covid-19.

Introduction: The support of prehospital and emergency call handling and the impact of Covid-19 is discussed throughout this study. The initial purpose was to create an electronic system (eEmergency system) in order to support, improve, and help the procedure of handling emergency calls. This system was expanded to facilitate needed operation changes for Covid-19. Materials and Methods: An effort to reform the procedures followed for emergency call handling and Ambulance dispatch started on the Island of Cyprus in 2016; along that direction, a central call centre was created. The electronic system presented in this work was designed for this call centre and the new organization of the ambulance services. The main features are the support for ambulance fleet handling, the support for emergency call evaluation and triage procedure, and the improvement of communication between the call centre and the ambulance vehicles. This system started regular operation at the end of 2018. One year later, when Covid-19 period started, we expanded it with the addition of several new features in order to support the handling of patients infected with the new virus. Results: This system has handled 112,414 cases during the last 25 months out of which 4,254 were Covid-19 cases. These cases include the transfer of patients from their house to the reference hospital, or the transfer of critical patients from the reference hospital to another hospital with an intensive care unit or transfer of patients from one hospital to another one for other reasons, like the number of admissions. Conclusion: The main purpose of this study was to create an electronic system (eEmergency system) in order to support, improve, and help the procedure of handling emergency calls. The main components and the architecture of this system are outlined in this paper. This system is being successfully used for 25 months and has been a useful tool from the beginning of the pandemic period of Covid-19.