Online ISSN: 2515-8260

Keywords : health care

A framework for Automated E-Message alert of Covid status using Robotic Process Automation

D.Kanchana, D. Shrinidhi

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 7, Pages 8388-8394

Artificial intelligence (AI)/digital employees, or metaphorical software robots (bots), are the foundation of the business process automation technology known as robotic process automation (RPA). The term "software robotics" has been used sometimes (not to be confused with robot software). Using internal application programming interfaces (APIs) or specialized scripting languages, a software developer creates a set of steps to automate a job and interface to the back-end system in conventional workflow automation technologies. RPA systems, on the other hand, create the action list by seeing the user carry out the job in the graphical user interface (GUI) of the programme, and then carry out the automation by repeating those actions directly in the GUI. In products that may not normally have APIs for this purpose, this can lessen the barrier to the usage of automation. Nowadays, monitoring every day covid status is not possible for an individual. So, the plan is to send an updated covid status through email automatically to the end users by using Robotic Process Automation (RPA). The main goal of this paper is to send corona information to the end users who are in need of covid details. For this, the end user wants to provide their email id and country name which they want to know about. The rest of the RPA process will be done by the bot using data scraping. Then email automation will be done to send email automatically. It is easy to check the required particular data from the cluster of data. It is easy to read and understand for all end users. 

Analysis of Medical Images using Deep Neural Networks

Dr. Arata Kumar Swain, Dr. Suryasnata Sahoo, Dr. Harekrushna Dalei, Dr. Basanta Kumar Pradhan; Senthil Kumar S Zafar Ali Khan Jayachandran A

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 3, Pages 10227-10238

Healthcare sector is totally different from other industry. It is on high priority sector and people expect highest level of care and services regardless of cost. It did not achieve social expectation even though it consumes huge percentage of budget. Mostly the interpretations of medical data are being done by medical expert. In terms of image interpretation by human expert, it is quite limited due to its subjectivity, complexity of the image, extensive variations exist across different interpreters, and fatigue. After the success of deep learning in other real-world application, it is also providing exciting solutions with good accuracy for medical imaging and is seen as a key method for future applications in health sector. we discussed state of the art deep learning architecture and its optimization used for medical image segmentation and classification. In the last section, we have discussed the challenges deep learning based methods for medical imaging and open research issue.

Engineering Innovative Clinical Resource Management by Design: a guided Emergent Search through a Complex Adaptive System of Systems

1Prof. C. RathigaProf. Edna Sweenie J,3 Prof. V. Sujatha, T. Gayathri,Lakshmi Devi ed

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 2, Pages 1410-1423

This competitive healthcare market has made labour planning and allocation vital to the success of today''''''''s hospitals. Nurses'''''''' real usage is plagued by inefficiencies and cost overruns because even sophisticated automated planning systems for nursing labour cannot account for the dynamic needs of patient care during and between shifts. Typical labour measures increase the situation, as we''''''''ve discovered. Iterating through many objects with practitioners in situ, we adopt an extended action design science research (eADR) strategy. When it comes to filling important nursing and support tasks in real time, we find that understanding the behaviours of complex adaptive systems is vital. We utilise this information to identify management procedures that clash and obstruct the efficient operation of feedback loops for system balance. For real-time nurse labour planning and allocation, we used an electronic ADR strategy that included co-design, co-evaluation, and co-implementation of new structures, roles, and responsibilities. Patient outcomes may be greatly improved by using this novel artefact, which takes use of the dynamic actions of the actors.

Application of clinical pathway within health care: systematic review

Khalil Ahmed Alrashdi, Sultan Salem Algothami, Abdulaziz Khonaifis Rozaiq Alkhialdi

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 4, Pages 3167-3179

Background: clinical pathway is a multidisciplinary outline of anticipated care, placed in an appropriate time frame, to help a patient with a specific condition move progressively through a clinical experience to positive outcomes’. It designed to streamline patient care delivery, maximize efficiency, minimize cost, improve communication between doctors and nurses, increase patient satisfaction with the service and improve the care outcome. They address variability in practice by having providers agree prospectively on a common regimen of clinical intervention. Method: in this article, we review a state of art of over view about application of clinical pathway in health care. Results: this review confirmed a great impact of clinical pathway application on patient's outcomes as level of pain, anxiety, satisfaction, post-operative complications, length of stay in hospital and quality of care given by the health team. Conclusion: application of clinical pathway enhance the quality of health care services

Health Care in Prisons and Detention Homes During COVID-19 Pandemic in India

M.Z.M. Nomani; Zafar Hussain

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 1, Pages 1488-1492

The paper deals with the legal framework for the health care in prisons and detention homes during COVID-19 pandemic in India. The World Health Organization has issued Guidance on COVID-19 for Prisons and Detention, 2020 for the health care system to deal with challenges of contagion in the arena of criminal justice system. The National Crime Record Bureau and the Prison Statistics India, 2020 revealed overcrowding and occupancy in jails as formidable threat of infection and transmission. Though the health and human rights envisages highest attainable standard of health among prisoners and detainees, ripple effect on community infection through detainees in detention homes and jails cannot be ruled out. The global outbreak of the COVID-19 has cascading effect on the health of inmates and convicts living in enclosed environments during the pandemic.


Abdullah Ahmad Alzahrani, Abid Ahmad Masi AlMalki, Marwan Lafy Aljabri, Mamdouh Lafi Aljabri, Yehya Ahmed Almalki, Hassan Owysh Alsolami, Mohammad Lafy Aljabri, Suliman khairat Al Ansari

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 3979-3991

     Overcoming the scourge of malaria infection is possible when healthcare workers have good levels of understanding and attitudes towards the disease, which will influence their treatment practices. Saudi Arabia and Yemen are the only two countries in the Arabian Peninsula that are yet to achieve malaria elimination. This study assessed Knowledge of Malaria fever causes and symptoms among health care workers at the primary healthcare in Makkah City at Saudi Arabia. Malaria is one of the deadliest mosquito-borne diseases in the world. More than 80% of the total populations are at risk of malaria in the 22 countries in Asia and the Pacific. South Asia alone is home to an estimated 1.4 billion people at risk of contracting malaria.
 Aim of the study: The study aimed to assess the knowledge about Malaria fever causes, signs and symptoms among health care workers at the primary healthcare in Makkah City at Saudi Arabia.
Methods: Across sectional descriptive study conducted among including health care workers at the primary healthcare in Makkah Al-Mokarramah city, during the October to December, 2020, the Sample size of medical practitioners. Our total participants were (350).
Results: shows the
Total knowledge of the malaria fever results show the majority of participant had weak information were(62.6%) while average of the Knowledge about participants  signs of the malaria fever were(33.4%) the data ranged from(1-24) by mean ±SD(11.094±4.503) and a statistical significant relation While Chi-square X2 180.109  and P=value 0.001and  that is a significant positive correlation between Knowledge about causes and signs were r= 0.70) and p-value =0.001
 Conclusion: Malaria remains a public health problem in most governorates of KSA region. Health professionals have suboptimal knowledge and practice levels regarding causes, signs, symptoms, standard precautions of infection control, while most of them have positive attitude. The identification and monitoring of malaria transmission hotspots and predictors would enable control efforts to be intensified and focused on specific areas and therefore expedite the elimination of residual malaria from the whole region
 Therefore, it is recommended to enforce their training


Sathish Kumar. R; Nivedha. K; Anitha. K; Jayaprakash. D

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1568-1580
DOI: 10.31838/ejmcm.07.09.172

There is a rising concern in designing options for elderlies residing in a society with an increased population ageing. IoT is a revolutionary phenomenon that transforms our life entirely as well as aims to revolutionize current healthcare into a more individualized, precautionary and inclusive approach to treatment. In order to integrate these two main problems, this research provides an IoT-ready approaches for elderly living treatment that can track and record critical details for patients in emergencies and include protocols for activating alarms.The strong low / low-cost / wireless capabilities make this approach into a secure and convenient wristband, perfect for anywhere and anywhere. There has been a strong device efficiency for incorporated functionalities and an overall battery life time of 306 hours (around 12 days) has been reached with respect to autonomy. Without the need of the out - of-range alarm, the device has demonstrated its output within a distance of 60 metres.


Dr. Vinod Kumar Patchigalla; Dr Vikram V Khare; Dr. Heena Tiwari; Dr. Rahul VC Tiwari; Dr. Amit Dalmia; Dr. Prashik Parvekar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 7150-7160

The COVID-19 pandemic has brought an additional set of challenges to theeconomiesoftheGulf Cooperation Council (GCC). Theregionhasbeen struggling to attract more and better FDI, constrained by investment climateweaknesses and regional geopolitical tensions. While the projected short-termdeclinesareexpectedtohittheGCC economieshard,thecrisiscouldalso bring new opportunities to benefit from global trends, such as reshoringand restructuring of global and regional value chains. The extent to whichthisispossiblewilldependonsustainingexistingreformsunderway,enactingtargetednew strategiesandmeasuresforthepost-COVID- 19context,andreinforcingregionalcooperation.ThisbriefprovidesanoverviewoftheimpactoftheC
OVID-19crisisoninvestmentintheregionandhighlights GCC government policy responses to catalyze investment andfoster an inclusive post-crisis recovery

Transitional Health Research for Youngsters with Intellectual Disabilities

Krisna Samantaray; Prativa Khosla; J.J. Mahakud; Trupti Das

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 6, Pages 1376-1384

Whereas the transition to adult life could adversely affect people's health and welfare, this component including its transition is already scarce investigated. The transition process is traumatic for young adults with intellectual disabilities and their families, recognize the people to weakening including its connections, friendships and community programs. The work analyzed the treatment types, measurement techniques and study frameworks and the role of existing evidence during the transfer to health care.A thorough evaluation of existing health variables associated for young people with using PRISMA Protocol with an updated product testing framework Research suggests that there is no reasonable basis for this demographic health regeneration study and researchers favor exploratory experimentations that explore the developmental interpretive aspect. The absence of young folks in the research shows a concerning lack towards truly participative science.

The Measurement Analysis of Public Health Center Service Performance UsingBalanced Scorecard

DianRakhminiar .; SetyaHaksama .

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 5, Pages 808-820

Public health center is a facility in public health sectorpresented by the regional government. Public health center provides nonprofit services, prioritizing the best health service for the community. As a public organization, public health center is also demanded to be responsible forits entire performance to the regional government and the community. Balanced Scorecard is a proper choice to measure the public health center performance in financial and non-financial aspects. The objective of this research was to improve the service performance of a public health center using BSC. This performance measurement utilizedquantitative method,which started from describing every indicator of achievementdataof each perspective that has been collected and recapitulated. Then,the measurement continued with comparing the indicatorsof achievement result withevery performance target of the perspective before determining the weight of every perspective.After giving score and criteria for each indicator of the perspectives, the performance was assessed. In-depth interview was carried out involving the head of administration, survey team, Financial Manager of Special Allocation Funds (DAK), Financial Manager of Health Insurance (JKN), person in charge of National Health Insurance, and the head of management and planning. Thus,there were six (n=6) samplesin this research. The performance measurement of public health center using BSC identified that the highest performance assessment was the Internal Business Process perspective with 39.93%.The financial perspective was still low with 20.67% andon the third place was the learning and development perspective with 16.96%.Meanwhile, the lowest performance was the customers'perspective amounting to13.94%. The following step is an interpretation of the performancemeasurements results using Balanced Scorecard inthe radar charts. The publichealth center, as a nonprofit organization, needs to pay more attention to the learning and development perspective by utilizing the funding by JKN and DAK to improve the staff competencies.Besides, it is also necessary to increase the customer perspective as the lowest performance by optimizing the Complaint Center function.


Samyuktha P S; Geetha R V; Jayalakshmi somasundaram

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 697-708

Artificial Intelligence is a progressive, rapidly developing field. It has the potential to ease diagnosis, treatment and care of patients. It is vital that medical professionals are aware about Artificial Intelligence and its scope in health care. Artificial Intelligence has the capability to ease diagnosis and care. The future of medicine is Artificial Intelligence based. A survey was carried to assess the awareness levels about Artificial Intelligence and its scopes in Healthcare. A questionnaire was circulated among medical and healthcare professionals. The total participation for the study was 100. The results were collected and tabulated to be analysed using SPSS windows version 20. There was an overall positive response from the participants. 92% believed that Artificial Intelligence is the future of medicine. Recent advancements have made it imperative that the healthcare workers be aware of Artificial intelligence and its scopes. Artificial Intelligence is reaching the medical field. It is a reality that a certain level of hyperbole seems to have taken over the discussion of Artificial Intelligence in healthcare. On one hand, healthcare industrialists and researchers highlight the need for high quality health data, on the other hand, physicians are still waiting for evidence of the usefulness of these tools and wonder who will be held responsible in case of an injury due to the tool, and the other ethical factors associated with it. It can be concluded that the participants had a moderate level of knowledge about Artificial Intelligence and its scopes, which can be improved.


Najeeb Hamid Alsahafi, AbdullahBurayk Mabruk Alyuobi, Hasan Mohamed Alasmari, Helal Ghali AL harbi, Abdulmohsen Rashid Alotaibi, Mohammed Yahia Almalki, Asma Naif Alosaimi, Alaa Mohammed Askar, Bandar Mulfi Lafi Alluqmani, Fahad Mohammed Allehyani

European Journal of Molecular & Clinical Medicine, 2019, Volume 6, Issue 1, Pages 182-195

Dengue has emerged as a major public health problem, with increasing incidence and widening geographic spread over recent years. It is a vector-borne disease that is transmitted from person to person by mosquitoes. Dengue is a mosquito-borne infection found in tropical and subtropical regions around the world. In recent years, transmission has increased predominantly in urban and semi urban areas and has become a major international public health concern.Since 1994, Makkah province became a dengue-endemic area with high rate of dengue infection during, spring and early summer. The primary-care physician plays a key role in dengue diagnosis, management, and prevention.
Aim of the study:The study aimed to assess the level of knowledge about symptoms of the dengue fever in the primary health-care medical practitioner’s in Makkah Al-Mokarramah city at Saudi Arabia
.Methods: Across sectional descriptive study conducted among including medical practitioner’s  in selected primary health–care centers in Makkah Al-Mokarramah city, during the October to December, 2018, the Sample size of medical practitioners . Our total participants were (300)
.Results: This table shows the majority of participant (43.0%) have average level of knowledge about symptoms of dengue fever followed by (36.3%) of participant high while Range(0-10) and Mean ±SD(6.387±2.323). Regarding knowledge about signs dengue fever, that majority of participant (48.3%) have average level of knowledge followed by (38.3%) of participant have an high level of knowledge while Range(1-11) and Mean ±SD(7.877±2.052). Regarding the participant total level of knowledge about dengue fever, about (41.4%) have average level followed by (38.3%) have average level of knowledge while Range(3-21) and Mean±SD(14.263±4.021)
Conclusion: This review highlights the need for revealed major gaps on knowledge about symptoms of the dengue fever in the primary health-care medical practitioner’s related to dengue Makkah. primary health-care medical practitioner’s working in primary Health care need training and regular supervision to improve their knowledge on the about symptoms of the dengue fever. The results of this study provide a useful opportunity to identify strengths and areas in need of improved, knowledge about symptoms of the dengue fever in primary-care management of dengue.


Nawar Hamad Mohammad Alfahmi, Khaled Fawzan gazi Alholaife, Abdulmohsen masraj Alfahmi, Faisal Mohammed Al-Nofaie, Hassan Fuad Labban, Fayez Abdul Rahman Fayez Al-Shehri,Abduljalil Ahmed Nojoom, Majed Faraj Alharthi, Majed Mohammedeid Almihmadi, Youssef Dakhilallah Nafea Aljehani

European Journal of Molecular & Clinical Medicine, 2019, Volume 6, Issue 1, Pages 170-181

Primary health care, the basis of universal health coverage, needs to be assessed on its performance through Saudi health care quality system and future opportunities to serve the Saudi Arabian population increase the chance of desired health outcomes. Saudi Arabia has invested heavily in its health care system by establishing health care infrastructures to improve health of the nation. However, it remains to be seen whether it is efficient and effective in providing health care services needed. In spite of substantial improvements in the Saudi Arabian health services sector in the past few decades, the country is facing a number of challenges in its primary health care system. These challenges include increased demand because of rapid population growth, high costs of health care services, inequitable access, concerns about the quality and safety of care, a growing burden of chronic diseases, a less than effective electronic health system, poor cooperation and coordination between other sectors of care, and a highly centralized structure.
Aim of the study: This study aims to determine the impact of quality on the Saudi Heath care system in primary health care centers in Makkah on satisfaction of Saudi people.
 Method:A cross-sectional studydesign. The current study was conducted male and female in primary health care centers in Makkah.the study randomly sampled. The total sample size will be (300) participated. female and male.
Results:Regarding Patient satisfaction about study results showed that the majority of participants were high satisfaction proportions (65.7%) while average satisfaction were (31%) While The Range (50 – 113) Mean +SD (89.913±11.636). Regarding Patients satisfaction about Patients satisfaction about social and behavioral characteristics results show that the majority of participants were high satisfaction proportions (64.3%) while average satisfaction were (33.3%) While the Range (28 –56)Mean+SD(46.796±5.9636)
Conclusion:The Saudi Arabian health care system needs comprehensive reform with a focus on primary health care.There is substantial variation in the quality of Saudi primary care services. In order to improve quality, there is a need to improve the management and organization of primary care services. Professional development 
strategies are also needed to improve the knowledge and skills of staff.