Healthcare Management System Research Articles

Assessment of the global healthcare industry during COVID-19 pandemic: A content analysis approach

Background: Content analysis (CA) is an investigative research tool used in healthcare studies to identify imminent challenges while providing lead time for preparedness measures. The objective of this study is to report on the challenges confronting the global healthcare industry. Methods: This study used the conventional CA “bottom-up” approach to a quantitative data. CA is a research technique that uses the qualitative research method and word counts to evaluate communication outcomes. A group of executive master’s in business administration (EMBA) and medical students championed the study. Using 13 periodicals as the data sources, researchers conducted online keyword searches for all articles, titles, and abstracts containing the word “healthcare”. The collected data was gathered from five international, four Middle Eastern, and four Lebanese periodicals from January 1, 2021 to December 31, 2021. Results: CA results indicate remarkable domination of keywords “COVID-19 health impact” as a major worldwide theme. Significant differences were noticeable among subcategories but remained related to COVID-19 in particular, social responsibilities, and research and development. Topics such as comorbid illnesses, social responsibility, healthcare logistics, and the well-being of healthcare service providers were among the least covered topics. Conclusion: Our findings emphasize the importance of global media and their coverage of healthcare issues on the types of healthcare topics (e.g., vaccines, drugs…) covered in the Lebanese periodicals in our study. Thus, global healthcare media are the main source for Lebanese periodicals reporting healthcare issues rather than the Lebanese healthcare authorities. Therefore, there is need for the development of a more efficient technology-driven healthcare management system. At the global level, there is a need to develop a step-by-step action-oriented strategic initiative to respond to emerging pandemics.

An Efficient Filter and Wrapper based Selection Methods along With Random Forest and Support Vector Machines Classification Technique in Health Care System

Health care Management System (HMS) is a key to successful management of any health care industry. Health care management systems have so many research dimensions such as identifying disease and diagnostic, drug discovery manufacturing, Bioinformatics’ problem, personalized treatments, Patient image analysis and so on. Heart Disease Prediction (HDP) is a process of identifying heart disease in advance and recognizes patient health condition by applying techniques on patient heart related symptoms. Now a day’s the problem of identifying heart diseases is solved by machine learning techniques. In this paper we construct a heart disease prediction method using combined feature selection and classification machine learning techniques. According to the existing study the one of the main difficult in heart disease prediction system is that the available data in open sources are not properly recorded the necessary characteristics and there is some lagging in finding the useful features from the available features. The process of removing inappropriate features from an available feature set while preserving sufficient classification accuracy is known as feature selection. A methodology is proposed in this paper that consists of two phases: Phase one employs two broad categories of feature selection techniques to identify the efficient feature sets and it is given to the input of our second phase such as classification. In this work we will concentrate on filter-based method for feature selection such as Chi-square, Fast Correlation Based Filter (FCBF), Gini Index (GI), RelifeF, and wrapper-based method for feature selection such as Backward Feature Elimination (BFE), Exhaustive Feature Selection (EFS), Forward Feature Selection (FFS), and Recursive Feature Elimination (RFE). The UCI heart disease data set is used to evaluate the output in this study. Finally, the proposed system's performance is validated by various experiments setups.

E-Prescription: A practical application of information and communications technology in perspective of Bangladesh

ObjectivesThe healthcare management authorities are responsible for delivering convenient services to the patients. The traditional healthcare management system is quite old and impractical in many cases, including a physical visit. Additionally, the COVID-19 epidemic makes the existing system unattainable, which creates an uncomfortable situation for visiting doctor's chambers that is risky both for doctors and patients. An electronic-prescription (e-prescription) management system can switch the existing one to the online appointment and doctor consulting system. Many developed countries have already adopted such e-prescription management systems, although low-and-middle-income countries (LMICs) like Bangladesh are apathetic. So implementing e-prescription management systems in all countries, including Bangladesh, is the demand of time, especially when information and communication technologies (ICT) are at hand. MethodWe design, develop and test an ICT-based online doctor and patient management system utilizing the latest software and web development tools. ResultsIn the developed e-prescription management system, the patient can visit their profile to make an appointment according to their need and doctor's availability. After that, the patient consults with the doctor based on the appointment's approval by the admin panel. Finally, the patient receives an online e-prescription and collects the medicine from a registered pharmacy with access to the online e-prescription. The e-prescription management system records patient history, including e-prescription, making handling patients easy. ConclusionThe proper use of the developed e-prescription management system will solve many existing problems of the existing healthcare management system, including many concerns that arise due to the advent of COVID-19.

A Review on the Healthcare Supply Chain Management in Transforming Hospital Services

The aim of this paper is to present a novel idea to revolutionize hospital services by integrating healthcare supply chain management principles. By using a web application which enables hospitals to establish a real-time connection and streamline patient transfers. Many sectors focus on supply chain management optimization and qualifications to construct a better network of suppliers for their end consumers. Especially in healthcare sector, not only for pharmaceutical products but also for hospital materials, supply chain management gets importance for service quality and patient satisfaction. Thus, there are many studies about supply chain management in healthcare to emphasize its importance. In this study it is aim to put forward more review of existing solution on healthcare management system and patient transfer. Keywords- Supply Chain Management, Healthcare Service Delivery, MERN stack web application, Real-time data processing, Patient Transfers, Predictive Analytics, Patient-Centric Care, Efficiency, Seamless Coordination, Fast Connectivity

TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images.

Recently, accurate diagnosis of thyroid nodules has played a critical role in precision medicine and healthcare system management. Due to complicated changes in ultrasound features of texture, and similar visual appearance of benign-malignant nodules, the identification of cancerous thyroid lesions from a given ultrasound image still faces challenges for even experienced radiologists. Learning-based computer-aided diagnosis (CAD) systems have accordingly attracted more and more attention recently. However, little research is committed to developing a deep learning-based CAD system that has greater conformity with radiologists' diagnostic decision-making. In this study, we devise a texture and shape focused dual-stream attention neural network, dubbed TS-DSANN. Specifically, in the texture focused stream, we utilize the ImageNet pre-trained ResNet34 to guide the network to recognize texture-related nodule attributes. Meanwhile, in the shape focused stream, in addition to using ResNet34 backbone, jointly learning from scratch with the contour obtained by contour detection module to enhance the extraction of shape features. Afterward, we employ a concatenation operation to aggregate the abovementioned two stream networks for capturing richer and more representative features. Finally, we further utilize an online class activation mapping mechanism to assist the dual-stream network in generating a localization heatmap to obtain more visualization attention to the nodule from the whole image, and supervise classifier's attention in decision-making. Experimental results conducted on the two-center thyroid nodule ultrasound datasets verify that our proposed method has improved the classification performance, superior to the state-of-the-art methods.

Short-Term Outcomes of COVID-19 Pandemic on Non-Small Cell Lung Cancer Screening and Management.

Background To assess the impact of coronavirus disease 2019 (COVID-19) pandemic on non-small cell lung cancer (NSCLC) screening, staging, and management in a single health care system. Materials and Methods From November 2015 to December 2020, a total of 1,547 NSCLC cases was reported at our institution including 1,329 cases pre-COVID-19 and 218 cases during COVID-19. Pre-COVID-19 was defined as November 2015 to February 2020, while during COVID-19 was March 2020 to December 2020. Data were collected from tumor registry and medical record review. Patients with mesothelioma, lymphoma, small cell, or mixed small cell cancer were excluded from the study. Results Both pre-COVID-19 and during COVID-19 cohorts had similar comorbidities including age (70 vs. 71 years), current smokers (35 vs. 32%), and chronic obstructive lung disease (32 vs. 28%). The number of low-dose computed tomography lung cancer screening scans decreased by 25% during COVID-19 compared with pre-COVID-19 era. There were more cases of stage 1A NSCLC pre-COVID-19 (31 vs. 25%) and more stage 4 cancer during COVID-19 (42 vs. 33%); p = 0.01. The proportion of patients treated with radiotherapy was similar between pre-COVID-19 and during COVID-19 (49 vs. 50%), but fewer patients underwent surgery during COVID-19 (17 vs. 27%; p = 0.004). The median time to radiotherapy (67 days) and surgery (29 days) was similar between the groups. The unadjusted overall 6-month mortality after lung cancer diagnoses was higher during COVID-19 compared with pre-COVID-19 (28 vs. 22%; p = 0.04). Conclusion The COVID-19 pandemic resulted in delayed lung cancer screening scans, and more patients had diagnosis of advanced NSCLC; however, short-term mortality was unchanged.

Covid-19 Salgını Sırasında Finansal Refah: Tıbbi Maliyetlerle İlgili Endişeler

Financial wellbeing which represents a great concern for individuals regardless of their social status or their current employment situation constitutes an important element of overall individual wellbeing. Within a broader structure of financial wellbeing, concerns about medical costs have gained a vital importance particularly following the pandemic. Identifying what factors influence this growing concern is critical to tackle with the problem and improve individual wellbeing. Hence, this study is expected to shed light on such an important individual and national concern. To that end, this paper utilizes Global Financial Inclusion Database which is based on national representative surveys of about 128,000 adults across more than 120 countries. Empirical analysis in which ordered probit model was applied aims to investigate if there exists an association between financial concerns about medical costs and COVID-19. Findings of the empirical investigation reveal that being in the group of those who are very worried about financial hardship due to Covid-19 outbreak increases the probability of reporting being very worried about medical cost payments by about 34.5 percentage points. Therefore, it is seen that pandemic detrimentally related to individuals’ increased concerns over medical costs. These findings are expected to guide policy makers on the management of healthcare system and measures to improve individual wellbeing.

Cancer survivorship at heart: a multidisciplinary cardio-oncology roadmap for healthcare professionals.

In cancer, a patient is considered a survivor from the time of initial diagnosis until the end of life. With improvements in early diagnosis and treatment, the number of cancer survivors (CS) has grown considerably and includes: (1) Patients cured and free from cancer who may be at risk of late-onset cancer therapy-related cardiovascular toxicity (CTR-CVT); (2) Patients with long-term control of not-curable cancers in whom CTR-CVT may need to be addressed. This paper highlights the importance of the cancer care continuum, of a patient-centered approach and of a prevention-oriented policy. The ultimate goal is a personalized care of CS, achievable only through a multidisciplinary-guided survivorship care plan, one that replaces the fragmented management of current healthcare systems. Collaboration between oncologists and cardiologists is the pillar of a framework in which primary care providers and other specialists must be engaged and in which familial, social and environmental factors are also taken into account.

Evaluating the blockchain-based healthcare supply chain using interval-valued Pythagorean fuzzy entropy-based decision support system

In the current era, blockchain technology has emerged as a novel technique to maintain the operations of healthcare management systems. The global COVID-19 disease has led to increase in the utilization of technology for healthcare supply chain, patient data management, and claims settlement. Data management in healthcare industry is a complex procedure where multiple organizations offer appropriate supply chain facilities in everyday life. Inadequate data handling disrupts the supply chain, which has a longstanding impact on the healthcare region. Blockchain-based solutions are renowned for their ability to produce safe and traceable results and effective in the health sector for secure data retrieval and storage, resulting in more effectual product creation and tracking. These technologies can deliver data provenance, sponsors candid healthcare industry demands, and certifies the immutability of multi direction transactions. Due to involvement of multiple factors/criteria, the selection of an effective blockchain platform-based healthcare supply chain can be treated as a decision support system (DSS) problem. Thus, the objective of this paper is to present a novel interval-valued Pythagorean fuzzy DSS for evaluating the blockchain platforms for healthcare supply chain and selecting a suitable one with respect to multiple criteria and uncertainty. The proposed DSS framework is divided into three stages. First, some fairly aggregation operators are presented to combine the individual’s information and also discussed their desirable characteristics on interval-valued Pythagorean fuzzy sets (IVPFSs). Second, an integrated weighting tool is developed using entropy-based tool for objective weight of criteria and pivot pairwise relative criteria importance assessment (PIPRECIA) model for subjective weight of criteria with IVPFSs. For this purpose, new entropy is presented on IVPFSs. Third, the multi-attribute ideal-real comparative analysis (MAIRCA) model is developed with the combination of fairly aggregation operators, entropy-based weighting tool and PIPRECIA model with interval-valued Pythagorean fuzzy information. Further, the proposed DSS is used on a case study of blockchain platforms for healthcare supply chain evaluation, which confirms its applicability and usefulness. Sensitivity and comparative assessments are carried out to check the consistency, robustness and efficiency of the presented method.

Exploring the Challenges and Opportunities of Adopting and Using Telemedicine for Diabetes Care and Management: Qualitative Semistructured Interview Study Among Health Care Providers and Patients With Diabetes.

Around the world, over half of the global population experiences noncommunicable diseases, resulting in premature death. Health care providers (HCPs) can deliver medical treatment from a distance by using digital advancements such as telemedicine. However, there is a limited understanding of the difficulties and opportunities of implementing telemedicine solutions in different socioeconomic and cultural environments, including Kuwait. The purpose of this study is to (1) examine the obstacles and benefits of telemedicine in the context of diabetes treatment and management, as perceived by both HCPs and patients with diabetes; (2) investigate the nonfunctional requirements for telemedicine applications used in diabetes care and management; and (3) provide suggestions to enhance the integration and adoption of telemedicine in Kuwait's health care system for diabetes care and management. The research used a qualitative and exploratory design, with semistructured interviews as the main data collection method. Participants were recruited on the internet through social media platforms due to the COVID-19 pandemic. The results were analyzed using thematic analysis and the Framework Method. The "diffusion of innovation" model was used as a perspective to interpret the findings. A total of 20 participants were included in this study-10 HCPs and 10 patients with diabetes-all of whom supported telemedicine. The HCPs reported that many diabetes cases could be managed through telemedicine, with only a few requiring in-person visits. Patients with diabetes noted the convenience and time-saving aspect of telemedicine. Both groups recommended the creation of a secure and user-friendly telemedicine system similar to popular social media platforms. Additionally, participants emphasized the importance of telemedicine during the pandemic as a way to prioritize patient safety. The results of this study provide valuable insights into the needs and preferences of both HCPs and patients with diabetes in a resource-rich country like Kuwait to embrace telemedicine. The COVID-19 pandemic has changed the way medical care is provided and has pushed both groups to consider digital solutions for ongoing diabetes management and treatment.

Features of resource distribution in healthcare system management

Features of resource distribution in healthcare system management

Understanding why racial/ethnic inequities along the HIV care continuum persist in the United States: a qualitative exploration of systemic barriers from the perspectives of African American/Black and Latino persons living with HIV

BackgroundRacial/ethnic inequities along the HIV care continuum persist in the United States despite substantial federal investment. Numerous studies highlight individual and social-level impediments in HIV, but fewer foreground systemic barriers. The present qualitative study sought to uncover and describe systemic barriers to the HIV care continuum from the perspectives of African American/Black and Latino persons living with HIV (PLWH) with unsuppressed HIV viral load, including how barriers operated and their effects.MethodsParticipants were African American/Black and Latino PLWH with unsuppressed HIV viral load (N = 41). They were purposively sampled for maximum variability on key indices from a larger study. They engaged in semi-structured in-depth interviews that were audio-recorded and professionally transcribed. Data were analyzed using directed content analysis.ResultsParticipants were 49 years old, on average (SD = 9), 76% were assigned male sex at birth, 83% were African American/Black and 17% Latino, 34% were sexual minorities (i.e., non-heterosexual), and 22% were transgender/gender-nonbinary. All had indications of chronic poverty. Participants had been diagnosed with HIV 19 years prior to the study, on average (SD = 9). The majority (76%) had taken HIV medication in the six weeks before enrollment, but at levels insufficient to reach HIV viral suppression. Findings underscored a primary theme describing chronic poverty as a fundamental cause of poor engagement. Related subthemes were: negative aspects of congregate versus private housing settings (e.g., triggering substance use and social isolation); generally positive experiences with health care providers, although structural and cultural competency appeared insufficient and managing health care systems was difficult; pharmacies illegally purchased HIV medication from PLWH; and COVID-19 exacerbated barriers. Participants described mitigation strategies and evidenced resilience.ConclusionsTo reduce racial/ethnic inequities and end the HIV epidemic, it is necessary to understand African American/Black and Latino PLWH’s perspectives on the systemic impediments they experience throughout the HIV care continuum. This study uncovers and describes a number of salient barriers and how they operate, including unexpected findings regarding drug diversion and negative aspects of congregate housing. There is growing awareness that systemic racism is a core determinant of systemic barriers to HIV care continuum engagement. Findings are interpreted in this context.

Assessment of Management Approach and the Effectiveness of Primary Health Care Systems in FCT Abuja, Nigeria

Failure of Primary Health Care Systems in meeting previously set Millennium development goals and other health targets in Nigeria has necessitated a critical look at its Primary Health Care systems to decipher challenges and requirements necessary for its effectiveness in achieving Immunization Coverage. The purpose of this study was to analyse management approaches within the context of the primary health care system in the Federal Capital Territory, Abuja, Nigeria for effectiveness in achieving immunization coverage. A descriptive survey approach was used and entailed the collection of data from 184 Primary Health Care Management Board members in the Federal Capital Territory, using a researcher- developed instrument titled a “Primary Health Care Manager Instrument (PHCMI). Data obtained from the questionnaire was analysed using IBM SPSS version 21. T-test and Regression analysis were used to answer the research questions and test the hypotheses respectively. The findings revealed that classical and neoclassical approaches were employed in promoting the effectiveness of Primary Health Care systems for achieving Immunization Coverage in the Federal Capital Territory, though strategies meant to promote immunization Coverage in Primary Health care systems were not well implemented. The test of hypothesis revealed that both Classical and Neoclassical Management Approaches have positive and significant effect on DTP3 Coverage in FCT at the conventional level. In reference to the findings and conclusion from the study, non-adaptation, low adaption, low engagement and poor implementation are factors that have mitigated the effectiveness of primary health care systems in the FCT. The management of the Federal Capital Territory Primary Health Care systems should be reoriented and incentivised to focus on core value delivery

The Role of Corporate Image as Mediating the Marketing Mix for Treatment Decisions in Private Hospitals, Indonesia

The hospital is a place to obtain services that depend on the level of patient visits. The indicator for improving hospital services is determined by the utilization of health services through increasing the number of patient visits in selecting health services at the hospital. A good corporate image has an important role for the continuity of a business organization. A good corporate image will shape a decision to buy a product or service. Currently, there is not many certain study on marketing mix and the treatment decision as an marketing strategy for healthcare management system. The study to determine the relationship between the marketing mix and the treatment decision through corporate image by the researcher as a preliminary study that could open the horizons for future studies. This type of research used is quantitative research. The sample used was outpatients at a private hospital that met the inclusion criteria. The research instrument uses a questionnaire that will be distributed to patients or families of patients who have undergone examination and treatment at the hospital. This study conducted sampling outpatient polyclinic at Private Hospital with a total of 154 samples.The results were measured using a Likert scale. Data on marketing mix and the treatment decision through corporate image were analyzed by descriptive and linier regression statistics. According to the data analysis, the results show that all of marketing mix elements have a significant impact influences outpatient treatment decisions through corporate image (p value for all marketing mix elements is less than α = .05). There is a significant relationship between the marketing mix and the outpatient treatment decision through corporate image.

Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice)

Health services research aims to improve population health by studying the organization, delivery, and financing of healthcare services. While the field has made progress in defining its boundaries and core research topics, our literature survey revealed a lack of attention given to the management, cost, and policy aspects of healthcare systems (SCs). Moreover, the readiness of the system to handle supply policy and device deficiencies, especially during the pandemic, was rarely mentioned. Unplanned urban growth, characterized by reduced open spaces, deteriorating infrastructure, and changes in biological morphology, has led to an uneven distribution of urban amenities, facilities, and healthcare services. This research proposes two reliable models for site selection in a major hospital in Hong Kong, considering uncertainty levels, infeasibility tolerance, and reliability. We examine two categories of uncertainty—symmetric and bounded—and provide a solution with a nominal objective function value of 121.37. By considering 23 uncertain parameters with specific tolerance levels, we extend the processing time of uncertain tasks to ensure feasibility. However, the objective function value decreases due to violations of intermediate due-dates and decreased overall production. A comparative analysis is presented to evaluate the solution and address scheduling challenges under uncertainty using a specified probability distribution function. The study concludes by introducing justice and health problems, outlining four typical strategies, and emphasizing the importance of the effective management of systems, components, and procedures for the production, distribution, and administration of medications and healthcare supplies. This research contributes to fairness in health systems and population health at local, national, and global levels, addressing health inequity and promoting public dialogues on the subject.

Building Community at Work: An Exploratory Study in Healthcare System Management

Building Community at Work: An Exploratory Study in Healthcare System Management

강직성 척추염 환자를 위한 운동 가이드라인

Exercise is an essential element of management for ankylosing spondylitis, of which symptoms and disease activity can be controlled by disease-modifying agents and monitored and followed up. However, due to a lack of support of the healthcare system, rehabilitation, and exercise management are not actively provided to patients with ankylosing spondylitis in clinical settings, and any qualified educational materials for exercise are not available. We aimed to develop the Korean exercise guideline to be used for patient with ankylosing spondylitis. The guideline has been developed through adapting existing evidence-based guidelines and making consensus by experts from the Korean Association of Sports Science and Exercise Medicine and the Korean College of Rheumatology. A draft recommendation was prepared through four expert meetings. The survey was conducted using the modified Delphi technique by expanding the experts for both academic societies. For questions that did not meet the consensus criteria, the survey was conducted again, and the recommendations that reached consensus were adopted. As a result, we suggested Korean exercise recommendations for ankylosing spondylitis including evaluation and monitoring of ankylosing spondylitis patients, safety management, disease management, ankylosing spondylitis specific exercises, considerations in advanced ankylosing spondylitis, dosage and adherence, and exercise setting. Based on the guideline, exercise education materials were produced. From this guideline, patients can receive professional guidance for self-management, and healthcare professionals can take advantage of prescribing specific exercise programs safely and effectively.

Enhancing Healthcare Management during COVID-19: A Patient-Centric Architectural Framework Enabled by Hyperledger Fabric Blockchain

The highly transmissible COVID-19 virus has wreaked havoc on the global economy, health, and lives. The abrupt burst and exponential spread of this pandemic has shown the inadequacies of existing healthcare institutions in handling a public health emergency. As governments around the world strive to re-establish their economies, open workplaces, ensure safe journeys, and return to regular life, they require solutions to reduce losses. The proposed framework provides virtual assistance from various medical practitioners and physicians. Furthermore, it promotes the accuracy of information gathered from COVID-19 patients, which can aid in the launch of a variety of government decisions and public guidelines aimed at combating health exigencies. The authors present a revolutionary blockchain-based solution that builds trust between the medical professionals and patients while preventing accidental coronavisrus transmission. This solution also keeps track of COVID-19 patients and improves EHR management, which can be a viable solution for common EHR challenges such as lowering the risk of patient data loss, maintaining privacy and security, and obtaining immutable consensus on the maintenance of health records, gaps in hospital communication, and inefficient clinical data retrieval methods. This research work describes a COVID-19 patient-centric blockchain-based EHR employing JavaScript-based smart contracts for a decentralized healthcare management system. The proposed Hyperledger fabric and a Composer-based working prototype ensure the model’s security and the authenticity of the health records. The authors used the Hyperledger Caliper benchmarking tool, which measures latency, throughput, resource utilization, etc., under different conditions and control parameters. The findings highlight the importance of the proposed blockchain-enabled architecture in revolutionizing healthcare administration during and after the COVID-19 pandemic, promoting enhanced clinical outcomes and supporting patient-centered care.

The Role of Blockchain in Medical Data Sharing

As medical technology advances, there is an increasing need for healthcare providers all over the world to securely share a growing volume of data. Blockchain is a powerful technology that allows multiple parties to securely access and share data. Given the enormous challenge that healthcare systems face in digitizing and sharing health records, it is not unexpected that many are attempting to improve healthcare processes by utilizing blockchain technology. By systematically examining articles published from 2017 to 2022, this review addresses the existing gap by methodically discussing the state, research trends, and challenges of blockchain in medical data exchange. The number of articles on this issue has increased, reflecting the growing importance and interest in blockchain research for medical data exchange. Recent blockchain-based medical data sharing advances include safe healthcare management systems, health data architectures, smart contract frameworks, and encryption approaches. The evaluation examines medical data encryption, blockchain networks, and how the Internet of Things (IoT) improves hospital workflows. The findings show that blockchain can improve patient care and healthcare services by securely sharing data.

Saudi Arabia’s “Vision 2030”: Structural Reforms and Their Challenges

This paper assesses the Saudi crown prince's visionary mega-project, "Vision 2030," superimposed as a new form of a social contract to diversify the country's economy and end dependency on oil revenue. The project sets to revive the long-staggering economy and propel the indicators of all sectors above the international averages. Concomitantly, the vision faces a colossal challenge as the kingdom is wheeled by authoritarian monarchical Islamic values that repudiate the concept of modernity, the final corollary of the prince's vision. This paper primarily assesses the education and healthcare system management based on the old social contract and seeks possible changes or restructuring according to "Vision 2030" objectives. The paper also looks into managing water shortages which are doomed to become more acute with the launch of mega infrastructural development projects. Further, this paper found that "Vision 2030" is steadily pushing boundaries, albeit there are impeding challenges ranging from the availability of skilled professionals to social, cultural and religious intransigence. Nevertheless, it can be convincible to argue that the cultural, social and political reformation is conceivable unless the citizenry has a strong will and vision regardless of how tumultuous the transition is, which would, in turn, help in streamlining the economic growth of the kingdom.