Healthcare Companies Research Articles

Toward sustainable healthcare: linking environmental governance, business innovation and carbon emission in Europe

PurposeClimate change is one of our time’s most pressing global environmental challenges, and environmental innovation is critical to addressing it. This study aims to investigate the relationship between environmental innovation and carbon emission in the healthcare industry in Europe while also examining the moderating role of environmental governance.Design/methodology/approachData for this study were collected from publicly listed healthcare companies in ten European countries spanning the years 2012–2021. The selected countries encompassed Belgium, Denmark, France, Germany, Italy, Netherlands, Spain, Sweden, Switzerland and the United Kingdom. The research encompassed all healthcare companies for which data were accessible, resulting in a comprehensive dataset comprising 1,210 companies. The authors collected data from multiple sources, including annual reports, the World Bank and Eikon databases, to ensure a robust and extensive dataset.FindingsThe results of this study indicate that environmental governance plays a significant moderating role in the relationship between environmental innovation and carbon emission within the healthcare sector in Europe, but when combined with high levels of environmental innovation, strong environmental governance leads to enhanced efforts to reduce carbon emissions. This combination also contributes to meeting the expectations of a broader range of stakeholders and maintaining legitimacy.Practical implicationsThe study’s findings have practical implications for healthcare regulators, policymakers and various stakeholders. It underscores the importance of integrating solid environmental governance and innovation to address climate change challenges in the healthcare sector effectively. This integrated approach not only helps reduce carbon emissions but also contributes to achieving sustainable outcomes while satisfying a wider range of stakeholders.Originality/valueThis study adds to the existing body of knowledge by highlighting the significant role of environmental governance as a moderator in the relationship between environmental innovation and carbon emission in the healthcare industry. The research findings provide valuable insights for academics, practitioners and decision-makers, emphasizing the need to combine governance and innovation for sustainable outcomes in healthcare sectors.

IoT Sensor-Based Big Data and Information Systems in Smart Healthcare

With the increasing maturity of the Internet of Things (IoT) technology, a new development trend of smart healthcare has been born. This paper, based on the introduction of the current development status, application, and prospects of smart healthcare, mainly focuses on the use of IoT sensors and big data and information systems in smart healthcare and then introduces the relevant technologies involved in wearable devices based on IoT sensors and home environment sensors, as well as the overall operational framework. It also analyzes the case studies of two smart healthcare companies, Sense care and Tencent Cloud, and introduces the smart healthcare technologies they are currently mainly applying. In addition, this report also analyzes the prospects of IoT sensor-based, big data and information systems in the development of smart healthcare, describes some of the current application scenarios and possible areas of application in the future and evaluates the benefits and challenges of their application in the field of smart healthcare.

Financial efficiency of healthcare companies in an emerging market

AbstractUnderstanding the financial dynamics of healthcare companies is essential for reducing costs while improving access to care and patient outcomes. This study aims to explore the financial efficiency of healthcare companies operating in an emerging stock market. We use conventional and fuzzy data envelopment analysis. We consider liquidity and leverage ratios as input criteria and profitability ratios as output criteria, each taken from Borsa Istanbul for the year 2022. The results indicate that financially inefficient healthcare companies can increase their efficiency by effectively managing debt and working capital, restructuring their asset base, and focusing on equity management.

Challenges and countermeasures for China's centralised volume-based procurement policy in healthcare.

To reduce the cost of healthcare expenditures in China, the government has developed a centralised volume-based procurement (CVBP) policy for medicines and medical consumables. Based on tracking the development history of centralised procurement in China, this study explores China's CVBP model. By comparing the centralised procurement models and healthcare expenditure data among China, the United States (U.S), the United Kingdom (UK), and Singapore, we find that China still faces many challenges in implementing the CVBP policy. The main challenges are as follows. First, the policy cannot be guaranteed the effectiveness of implementation without a well-coordinated regulatory mechanism. Second, the CVBP rules and quality evaluation standards are imperfect. Third, the interests of healthcare companies cannot be guaranteed. Fourth, the policy affects the benefits of medical institutions, and the government has not built a compensation mechanism for medical institutions. Fifth, it poses a challenge to the operational capacity and innovation level of Chinese companies. Therefore, this paper posits a three-stage strategy and nine measures that could benefit China's progress in implementing the CVBP policy.

Stepping Sideways to Step up: Lateral Mobility and Career Advancement Inside Organizations

Although internal labor market theory emphasizes promotions as the main form of mobility within organizations, many internal job moves take people sideways into jobs that are at the same hierarchical level as the one that was left. Despite the prevalence of these lateral moves, however, we have little evidence on what role they play in workers’ careers. We argue that lateral mobility can facilitate subsequent career advancement by allowing for the development and demonstration of new skills and can, therefore, help those who would struggle to be promoted from their current job to develop their careers further. We establish empirical evidence on the implications of lateral mobility using eight years of personnel data from a large U.S. healthcare company. Our analyses show that those employees who move laterally are more likely to be subsequently promoted and achieve substantially higher pay growth than a matched sample of employees. We also find that lateral moves are more likely to be undertaken by those who have spent longer in the job but have lower performance than those who are promoted. This pattern of results suggests that lateral mobility provides an important avenue for career growth as people who step sideways in organizations are more likely to subsequently step up. This paper was accepted by Lamar Pierce, organizations. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2021.03746 .

Anti-Corruption Efforts in the Healthcare Sector During the Covid-19 Pandemic in Malaysia

The Covid-19 pandemic has had an irreversible impact on the global economy and industries, particularly in the healthcare sector. The rush to respond to the pandemic, particularly in terms of getting treatment and vaccines and technology to market, has created a huge opportunity for undisclosed corruption and misconduct in the research and development and procurement processes. Effectively responding to current and future global health corruption threats is critical if the world is to provide health care to all. Due to a lack of research in preventive corruption measures in the healthcare industry, this paper aims to provide an overview of anti-corruption efforts among healthcare companies listed on the main board of Bursa Malaysia. The disclosure index is made up of 47 items derived from a review of previous literature and the Malaysian Anti-Corruption Act. The content analysis research method is used to analyze information from 13 companies listed in 2020’s anti-corruption policies and procedures published on their website, board charter, whistleblowing policy, code of ethics and conduct, annual report, sustainability report, and corporate governance report. According to the findings, Malaysia’s healthcare industry has demonstrated a strong commitment to fighting corruption, with 76.9% of companies scoring higher than average on the disclosure index.

IMPACT OF IMPLEMENTING AI IN MEDICAL FIELD

Introduction: AI is a field of great scope and latest leading fame and coming to it in medical field it has been very useful and impactful. Objectives: we can say that the objectives of bringing in artificial intelligence in healthcare applications revolve around maximising AI's capabilities to enhance working capabilities, efficiency, and personalized care delivery to patient’s, ultimately leading to improved patient outcomes and healthcare operation. Review of Literature: A mixer of different papers regarding patient’s, medical field and related things Results: AI in the medical field is critical to the advancement of medical robotic surgery, IT operations, health tracking, and diagnostics using automation, predictive analytics, and data-driven insights to improve efficiency, accuracy, and patient care in a variety of healthcare and technology areas. Discussion: By the study and research we can observe that, artificial intelligence is transforming the healthcare industry in numerous areas giving it various wings. Implementation: Healthcare companies may boost operational effectiveness and implement AI strategies, improve patient outcomes, and provide more individualized and efficient care by utilizing AI technologies. Conclusion: The use of AI in medical field is useful as it acts as a good assistance and support, artificial intelligence (AI) allows healthcare businesses to give the best scope and power. Keywords: Artificial intelligence, predictive analytics, Patient , Clinical decision-making, Management, robotic surgery, healthcare, efficient care.

Abstract 6476: Solving the real-world data challenge: A hybrid resourcing model to curate RWD at scale

Abstract Introduction: As cancer treatments become more complex, the need for structured real-world data (RWD) to support clinical research is critical. However, researchers often lack resources to curate data in-house. Organizations are challenged with timely data curation at the quality and scale needed for real world applications. Methods: As members of the AACR Project GENIE (Genomics Evidence Neoplasia Information Exchange) Biopharma Collaborative (BPC), Memorial Sloan Kettering Cancer Center (MSK) and Dana-Farber Cancer Institute (DFCI) partnered with Vasta Global, an Omega Healthcare company, to build a model for curating RWD at scale, allowing for cost-effective RWD curation while leveraging expert resources and best practices. The approach includes managing a hybrid onshore and offshore team with clear communication and recurring check-ins, cross-training curators on different EHRs to reallocate Vasta Global resources and maintain project pace, building program-specific clinical data curation training, establishing QA and delivery methods, standardizing data curation, assigning productivity standards, aligning data quality practices and benchmarks, and developing data visualizations and analytics to show progress and insights. Results: In Phase 1 of the AACR GENIE BPC, data was curated from four sites: MSK, DFCI, Vanderbilt Ingram Cancer Center (VICC) in Nashville, and Princess Margaret Cancer Centre, University Health Network (UHN) in Toronto. During Phase 1, MSK and DFCI, with Vasta Global’s assistance, delivered high-quality RWD for 6,475 patients (NSCLC = 1,591; CRC = 1,264; Bladder = 639; Breast = 957; Pancreas 989; and Prostate = 1,035). All data for these cohorts will be publicly available by Spring 2024 in the AACR Project GENIE cBioPortal. MSK and DFCI generated usable and fit-for-purpose RWD to help advance oncology clinical decision-making and data sharing. Conclusion: Accelerating RWD curation will empower the oncology community to leverage data-driven insights and advance treatment opportunities for cancer patients. Working alongside lead sites, a partner like Vasta Global enables researchers to leverage extensive expertise in the BPC data model, allowing for consistency and scalability of the BPC program. In this hybrid model, research partners can curate RWD in a cost-effective way, while remaining focused on core research responsibilities. Citation Format: Julia Rudolph, Kenneth L. Kehl, Melanie Bernstein. Solving the real-world data challenge: A hybrid resourcing model to curate RWD at scale [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6476.

A Bi-Objective Home Health Care Routing and Scheduling Problem under Uncertainty.

Home health care companies provide health care services to patients in their homes. Due to increasing demand, the provision of home health care services requires effective management of operational costs while satisfying both patients and caregivers. In practice, uncertain service times might lead to considerable delays that adversely affect service quality. To this end, this paper proposes a new bi-objective optimization problem to model the routing and scheduling problems under uncertainty in home health care, considering the qualification and workload of caregivers. A mixed-integer linear programming formulation is developed. Motivated by the challenge of computational time, we propose the Adaptive Large Neighborhood Search embedded in an Enhanced Multi-Directional Local Search framework (ALNS-EMDLS). A stochastic ALNS-EMDLS is introduced to handle uncertain service times for patients. Three kinds of metrics for evaluating the Pareto fronts highlight the efficiency of our proposed method. The sensitivity analysis validates the robustness of the proposed model and method. Finally, we apply the method to a real-life case and provide managerial recommendations.

Comparative Analysis of Returns and Standard Deviations of Service Companies’ Stocks: A Five-Year Study (2019-2023)

ABSTRACT This study compares the returns and standard deviations of the stock list of service businesses during a five-year period, from 2019 to 2023. In order to help service industry investors balance risk and reward in their investment decisions, the study intends to offer insightful information. Using a descriptive research design, secondary data from journals, papers, and the NSE website are used. The data is analysed using statistical methods including standard deviation, beta, and returns. The goals are to compare the accomplishments of healthcare companies, evaluate risk tolerance, look at average returns, and suggest investments for investors. The results provide investors who want to maximize their investment returns in the service sector with practical advice. The research looks at how different services compare to one another.

The use of the biosimilar drug can lead to large health care savings that can be reinvested for continued innovation: Analysis of consumption of an Italian health care company

BackgroundBiosimilar drugs offer an opportunity for all global healthcare systems because they provide significant cost savings while ensuring equal efficacy and safety in the treatment of chronic diseases. These savings can be allocated to support ongoing innovation. MethodsAn analysis of the usage of major biosimilar drugs across various therapeutic areas has been conducted within an Italian healthcare company serving a population of over one million. Data on consumption, expenditure, and the number of treated patients has been extracted from the company's databases. Finally, a comparison with the year 2021 has been performed to determine if biosimilar drug usage increased in 2022. ResultsIn 2022, the data reveals that a substantial portion of the analysed active ingredients are being used as biosimilar drugs, except in a few residual cases. However, among the most consumed drugs, resistance still exists in the case of Adalimumab and Etanercept, for which expenditure on originator drugs exceeds 2 million euros. ConclusionThe 2022–2021 comparison highlights the increasing use of biosimilar drugs. This data is encouraging and suggests that in the coming months, we may achieve total utilization, which would be to the benefit of the National Health System (NHS) and the citizens who can rely on an efficient and sustainable healthcare policy that is continually improving.

The Work Ability Index (WAI) in the Healthcare Sector: A Cross-Sectional/Retrospective Assessment of the Questionnaire.

The Work Ability Index (WAI) is the most widely used questionnaire for the self-assessment of working ability. Because of its different applications, shorter versions, and widespread use in healthcare activities, assessing its characteristics is worthwhile. The WAI was distributed online among the employees of a healthcare company; the results were compared with data contained in the employees' personal health records and with absence registers. A total of 340 out of 575 workers (59.1%) participated; 6.5% of them reported poor work ability. Exploratory factor analysis indicated that the one-factor version best described the characteristics of the WAI. The scores of the complete WAI, the shorter form without the list of diseases, and the minimal one-item version (WAS) had equal distribution and were significantly correlated. The WAI score was inversely related to age and significantly lower in women than in men, but it was higher in night workers than in their day shift counterparts due to the probable effect of selective factors. The WAI score was also correlated with absenteeism, but no differences were found between males and females in the average number of absences, suggesting that cultural or emotional factors influence the self-rating of the WAI. Workers tended to over-report illnesses in the online survey compared to data collected during occupational health checks. Musculoskeletal disorders were the most frequently reported illnesses (53%). Psychiatric illnesses affected 21% of workers and had the greatest impact on work ability. Multilevel ergonomic and human factor intervention seems to be needed to recover the working capacity of healthcare workers.

A multi-skilled staff scheduling and team configuration optimisation model for artificial intelligence project portfolio considering competence development and innovation-driven

This paper emphasises the pivotal role of enhancing research and development (R&D) staff competence and boosting team innovation efficiency in configuring R&D project teams for artificial intelligence (AI) product development. Diverging from traditional studies primarily focused on time, quality, and cost objectives, this study proposes prioritising the skill increments of staff and team diversity, aligning with the overarching goals of the R&D cycle. Targeting multi-skilled R&D personnel for scheduling and configuration, a three-objective tradeoff optimisation model is established. The nonlinear mixed-integer constrained programming model incorporates a learning effect for calculating employee skill value and employs a heterogeneity efficiency formula for assessing team diversity, particularly emphasising the diversity of R&D personnel research backgrounds. An algorithm based on Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is designed to obtain the approximate Pareto optimal solution. Furthermore, it compares the algorithm with the multi-objective particle swarm optimisation (MOPSO), explores practical decision-making methods for Pareto solutions, and conducts sensitivity analyses on the learning rate and diversity level. Our research is relevant to enterprises seeking to enhance R&D capabilities with a certain degree of homogeneity among R&D employees. This paper exemplifies and validates the proposed model and solution approach using a new AI product from a healthcare company.

Comparative Analysis of Returns and Standard Deviations of Healthcare Companies’ Stocks: a Five-year Study (2019-2023)

This research conducts a comparative analysis of returns and standard deviations of healthcare companies’ stocks listed on the National Stock Exchange (NSE) over a five-year period from 2019 to 2023. The study aims to provide valuable insights for investors in the health sector, assisting them in balancing risk and return in their investment decisions. Secondary data sourced from the NSE website, publications, and journals is utilized, employing a descriptive research design. Statistical tools such as returns, beta, and standard deviation are used to analyze the data. The objectives include examining mean returns, assessing risk levels, contrasting achievements among healthcare corporations, and recommending suitable securities for investors. The findings offer actionable insights for investors aiming to optimize their investment outcomes within the healthcare industry. The investigations examines to the comparisons between healthcare companies’ stocks on NSE from 2019 to 2023. The intent is to assist with making informed decisions. Secondary data was collected from various sources, utilizing a descriptive design. Statistical tools such as returns; beta and standard deviation are applied to interpret the information. Key objectives include examining mean returns, evaluating risk, and recommending securities for investors. The results aim to provide useful recommendations for investment within the healthcare sector!.

The impact of cost resilience on management decision to respond to the COVID-19 crisis in healthcare companies

The impact of cost resilience on management decision to respond to the COVID-19 crisis in healthcare companies

Job Demands and Mental Health Deterioration: Investigating the Mediating Role of Resiliency.

In the past decade, China has witnessed a significant surge in the popularity of food delivery apps, with its industry now thrice the size of the U.S, employing approximately 7 million drivers navigating urban landscapes on electric bikes and scooters. Predominantly, the market is governed by two main players: Meituan Dianping (backed by Tencent) and Ele.me (supported by Alibaba). Notably, stress and absenteeism stand out as significant challenges in this service sector, with implications for occupational health that translate into considerable costs for both healthcare systems and companies. Existing research has largely overlooked how job demands affect the mental health of food delivery workers in China, and how resilience plays a role in this process. The present study addresses this gap by examining the direct impact of Workload Volume and Pace on the mental health of these workers, and by exploring how personal resilience can mediate this relationship. Furthermore, it delves into the mediating role of Resilience, a personal strength, in this relationship. Using a correlational design with 206 participants, multiple regression analysis suggested a notable variance in Mental Health Decline. Subsequent bootstrapping-mediated analysis confirmed resilience's mediating role, highlighting its importance in managing stress from workload. The results underscore the critical role of personal strengths in managing work-related stress, which can significantly impact both job performance and mental well-being.

Business continuity plan in the management and operations of hospitals: First experience to certify the PDTA processes with the requirements defined by ISO 22301:2019 in emergency medical services.

A business continuity plan (BCP) facilitates the performance of primary functions during emergencies or other situations that can disrupt normal operations. If risk management is done analytically, a business impact analysis (BIA), according to ISO 22301 certification, makes it possible to define the best strategy for supporting the company's assets and image, optimizing the operational efficiency of service recovery and redesigning spaces for health. Since 2015, our healthcare company has embarked on a certification process for all sectors and activities through the implementation and development of diagnostic and therapeutic paths for operational diagnos-tic-therapeutic-assistance pathways (PDTAs). PDTA processes are all certified by the ISO 9001:2015 management system hospital. Our hospital is the first healthcare company to have obtained ISO 22301:2019 certification concerning PDTA processes, offering patients the highest standards of quality and safety of care in emergency medical services. The formal BCP process includes several steps prior to the creation of a BCP: create a BCP team, conduct a BIA, determine the continuity plan by using the results of the analyses, and conduct training and exercises to educate staff and improve the BCP. From the BIA analysis, the team identified the time-employee PDTAs in company paths under emergency and urgency: acute ST-elevation myocardial infarction (STEMI), TRAUMA, and STROKE, providing for a planning path that took advantage of the duration of approximately 12 months. This path included the creation of structural procedures, the redefinition and updating of the PDTA in the light of the BCP, the preparation of exercises aimed at guaranteeing the business continuity objectives, and, finally, the awareness of our stakeholders regarding its correct application. With a business continuity management (BCM) system, companies take preventative measures to ensure they can start operations again quickly in an emergency. An exhaustive BIA in a hospital company reveals the effects when processes fail, how critical each process is for the company, and the amount of time required to get up and running again, thus providing the organization with important information for risk management. The measures for handling risks derived from this analysis are incorporated into a BCM system where the emergency plans are defined, too, so that business operations continue even in the event of an emergency.

Cracking the Environmental Problem of Nitrous Oxide in Obstetrics

(Anaesthesia. 2023; 78:288–293) Global warming and climate change are the most concerning crises that our world currently faces. The National Health Service (NHS) has worked to reduce its overall carbon footprint as a primary health care company. There are growing concerns about the effects that nitrous oxide has on the environment. It is estimated that 40% of all nitrous oxide emissions are due to human impact, and nitrous oxide use for labor analgesia increases those emissions. Catalytic cracking has been introduced to improve the impact that nitrous oxide has on our environment.

The The Effect Of Firm Size, Growth Opportunity And Net Working Capital On Cash Holding In Main Board Healthcare Sector Companies Listed On The Indonesia Stock Exchange

This research aims to test and analyze the influence of firm size, growth opportunity and net working capital on cash holding. The population used in this research is main board healthcare sector companies listed on the Indonesia Stock Exchange in 2020-2022 using a purposive sampling method, so the total sample for this research is 36 financial report data from main board healthcare companies listed on the IDX for 3 years. The analytical method used in this research is multiple linear analysis method and hypothesis testing. The results of this research show that firm size has no effect on cash holding, growth opportunity has no effect on cash holding and net working capital has a significant positive effect on cash holding.

Exploration of Factors Affecting Tax Avoidance Practices: The Case of Healthcare Companies on the Indonesia Stock Exchange 2018-2022

This research examines the impact of leverage, liquidity, sales growth, and firm size on tax avoidance, both individually and collectively, within the healthcare sector companies listed on the IDX from 2018 to 2022. The research employs a quantitative approach to purposive sampling to select qualifying companies based on predetermined criteria. The analysis involves multiple linear regression, determination coefficient calculation, and hypothesis testing through t-tests and F-tests. The findings indicate that firm size partially influences tax avoidance among healthcare sector companies on the IDX from 2018 to 2022. Meanwhile, leverage, liquidity, and sales growth do not individually affect tax avoidance during the same period. Simultaneously, the study reveals a significant combined impact of tax avoidance, leverage, liquidity, sales growth, and firm size on healthcare sector companies listed on the IDX from 2018 to 2022. The researchers recommend exploring new variables, broadening the sample to include diverse sectors, conducting cross-country comparisons, and considering alternative proxies like ETR or GAAP ETR for a more comprehensive understanding of tax avoidance.