Managed Health Care Organizations Research Articles

РОЛЬ ШТУЧНОГО ІНТЕЛЕКТУ ПРИ СТРАТЕГІЧНОМУ ПЛАНУВАННІ ДІЯЛЬНОСТІ ЗАКЛАДІВ ОХОРОНИ ЗДОРОВ'Я

Artificial intelligence (AI) has the potential to revolutionize the healthcare industry, including strategic planning. A key aspect of strategic management is that businesses in the same environment can have different levels of success, depending on their strategic decisions. In healthcare, it is also important for managers to develop strategic thinking in their employees. This will help them use strategic principles, methods, and tools to improve their performance. AI can be used to teach employees the basics of strategic planning. However, there are challenges and limitations to using AI in this context. Modern transformations in the healthcare sector require the implementation of strategic planning in management, as an important prerequisite for the successful functioning of a healthcare facility. AI is a tool that can be used to generate profit, as it can improve the economic performance of economies. This research has demonstrated the potential of AI to improve efficiency, effectiveness, and quality of care. AI can be used to analyze large amounts of data, identify trends, and predict future needs. This can help healthcare organizations develop more effective strategies that provide quality care at an affordable price. The article aims to define the features and potential of strategic planning in the management of healthcare facilities in the modern world using artificial intelligence to improve efficiency. This article explores the potential of AI in strategic management of healthcare organizations. It is argued that AI is a valuable tool for strategic planning in healthcare management. The article defines the concepts of "artificial intelligence" and "strategic planning in healthcare." It analyzes the areas of strategic planning where the use of AI is feasible. It proposes ways to use AI in healthcare management. The analysis and logical generalization of the research made it possible to determine the further direction and problems of using AI. The practical value of the article lies in the fact that it introduces readers to the possibility of using AI in strategic management in healthcare.

The Intersection of Finance and Healthcare: Financing Healthcare Delivery Systems

The Intersection of Finance and Healthcare: Financing Healthcare Delivery Systems" explores the complex relationship between finance and healthcare, focusing on the financing of healthcare delivery systems. The article discusses the importance of effective financial management in healthcare organizations, including budgeting, revenue cycle management, cost containment, and financial reporting. It also examines the role of finance in promoting patient care and saving costs through strategies like accountable care organizations and value-based care models. The article highlights the significance of financing for medical innovation, research, and the creation of novel treatments and cures. The article also discusses the importance of financing for attracting, training, and retaining a competent healthcare workforce. The article emphasizes the significance of sustainable finance in accomplishing universal health coverage and mitigating inefficiencies within the health system. The article examines various healthcare financing models, including tax-funded healthcare systems, social health insurance programs, private health insurance models, and hybrid healthcare finance models. The article also discusses the historical perspectives of healthcare financing, including the creation of publicly funded healthcare systems and the Affordable Care Act. The article concludes by examining the current landscape of healthcare financing, including global trends in healthcare spending and funding schemes. The article emphasizes the importance of balancing clinical efficacy and financial efficiency in healthcare finance systems and overcoming obstacles like fragmentation of services, bureaucratic obstacles, and administrative inefficiencies.

Empirical analysis of Lean Six Sigma implementation barriers in healthcare sector using fuzzy DEMATEL approach: an Indian perspective

PurposeThe present study aims to explore the barriers to Lean Six Sigma (LSS) implementation in the healthcare sector and develop the ranking of finalized barriers using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach under a fuzzy environment.Design/methodology/approachThe LSS barriers are identified through the literature review and validated by the expert's opinion and statistical analysis. A total of 124 experts were identified through the purposive sampling method for conducting this study. A questionnaire survey method is used to collect the data related to identified LSS barriers in the healthcare sector. The screened barriers are ranked through the Fuzzy DEMATEL approach.FindingsIn this study, a total of 21 barriers were identified with the help of a systematic literature review and screened 13 significant barriers by the expert opinions of healthcare personnel. The result reveals that “Lack of top management commitment and support, lack of awareness about LSS”, “resistance to culture change and inadequate resources emerges as the most critical barriers”. The prioritization of barriers facilitates the managers to make effective policies and guidelines for LSS implementation in healthcare organizations.Practical implicationsTo avoid LSS implementation failure, the practitioners and researchers need to focus on LSS barriers as per suggested ranking more conventionally and make plans and adoption policies accordingly.Originality/valueThis study is unique in terms of investigation and empirical analysis of LSS implementation barriers in the healthcare sector in the Indian context. The outcomes of the present study will help the managers of healthcare organizations to make the strategies and policies for LSS implementation as per the recommended LSS barriers.

Position Paper on Developing Standardized Modelling Approaches for the Management of Healthcare Organizations

Healthcare organisations are continually forced to rethink and redesign their processes and procedures due to internal and external requirements and occurrences. The best way to test new procedures would be through real-life experiments and/or simulations based on real-time data. However, experiments are only rarely possible in a service provision environment which is highly complex and safety and security driven, and so data are sometimes not available in the required quantity (yet). The application of models provides an alternative. However, to serve as a solid foundation, such models need to fulfil certain criteria: they need to be consistent, complete, accurate, and without redundancies, and they also have to provide the basis for a common understanding for stakeholders from different backgrounds, thereby making it possible to choose from multiple perspectives.

STAKEHOLDERS’ PERCEPTION OF THE IMPORTANCE OF DIGITALIZATION IN HEALTHCARE ORGANIZATIONS

The study aims to identify whether healthcare organizations agree regarding using medical devices involving artificial intelligence and digital technology. Using quantitative research, we collected 123 valid questionnaires from many stakeholders of healthcare organizations (i.e., patients, doctors, nurses, and managers). The results prove that the digitalization process adds value to the decision-making process. Furthermore, the stakeholders perceive digitization as a process that directly contributes to the improvement of the management of healthcare organizations.

Assessing Digital Transformation of Cost Accounting Tools in Healthcare

The expansion of digital technologies has significantly changed most economic activities and professions. Digital technologies penetrated managerial accounting and have a vast potential to transform this profession. Implementing emerging digital technologies, such as artificial intelligence, blockchain, the Internet of Things, big data, and cloud computing, can trigger a crucial leap forward, leading to a paradigm-shifting in healthcare organizations' accounting management. The paper's main objective is to investigate the perception of Romanian accountants on implementing digital technologies in healthcare organizations' accounting management. The paper implies a study based on a questionnaire among Romanian accountants who use various digital technologies implemented in traditional and innovative cost accounting tools. Based on structural equation modeling, the results emphasize the prevalence of innovative tools over traditional cost accounting tools improved through digital transformation, digital technologies assuming the most complex and time-consuming tasks. Moreover, the influence of cost accounting tools improved through digital transformation on healthcare organizations' performance is much more robust in the case of innovative tools than in the case of traditional cost accounting tools. The proposed model provides managers in healthcare organizations with information on the most effective methods in the context of digital transformation.

Implementation of Health Information Systems to Improve Patient Identification.

Wellbeing can be ensured in society through quality healthcare, a minimum of medical errors, and the improved performance of healthcare professionals. To this end, health information systems have been implemented in hospitals, with this implementation representing progress in medicine and information technologies. As a result, life expectancy has significantly increased, standards in healthcare have been raised, and public health has improved. This progress is influenced by the process of managing healthcare organizations and information systems. While hospitals tend to adapt health information systems to reduce errors related to patient misidentification, the rise in the occurrence and recording of medical errors in Lebanon resulting from failures to correctly identify patients reveals that such measures remain insufficient due to unknown factors. This research aimed to investigate the effect of health information systems (HISs) and other factors related to work-related conditions on reductions in patient misidentification and related consequences. The empirical data were collected from 109 employees in Neioumazloum Hospital in Lebanon. The results revealed a correlation between HISs and components and the effects of other factors on patient identification. These other factors included workload, nurse fatigue, a culture of patient safety, and lack of implementation of patient identification policies. This paper provides evidence from a Lebanese hospital and paves the way for further studies aiming to explore the role of information technologies in adopting HISs for work performance and patient satisfaction. Improved care for patients can help achieve health equality, enhance healthcare delivery performance and patient safety, and decrease the numbers of medical errors.

Incorporation of the emotional indicators of the patient journey into healthcare organization management.

In recent years, attempts have been made to incorporate patients' experiences into healthcare processes, to complement clinical indicators, with what are known as patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs). While the research into PROMs is more developed, the application of PREMs faces some difficulties. The incorporation of emotional indicators into assessments of the experience is an area that remains to be explored. This study proposes a new technique to analyse the emotions experienced by patients during the care process, examines how these emotions influence their satisfaction and propose that if healthcare services focus more on patients' emotions, they can improve the effectiveness of the sector. The first, qualitative stage, gathered data from patients to design a patient journey (PJ). The PJ was then reproduced as a video. In a subsequent, quantitative stage, the video was shown to experimental participants, and their emotions were measured through facial expression analysis and a questionnaire. A new technique to gather emotional data showed that the emotions patients experience do not affect their satisfaction with their clinical care or the physical aspects of the process. However, their emotions did affect their satisfaction with people and organizations. The importance of the emotional component of patients' experiences was underlined. Therefore, healthcare organizations should take account of this dimension, as well as the cognitive, to increase patient satisfaction and improve their care processes. Understanding the impact of the emotions identified at the subconscious level can help improve the patient experience. A new methodology was applied that may help health professionals to collect emotional data about patients' experiences and to develop PREMs. Patients were involved in all stages of this research. In the exploratory phase, some helped define the touchpoints of the PJ. The data from the subsequent experimental phase were collected from another group, and the emotions they experienced were identified through the analysis of their facial expressions. Based on the results of this study, a working group including patients has been established to work on improvements in the PJ.

Incidence and Prevalence of Polymyalgia Rheumatica and Giant Cell Arteritis in a Healthcare Management Organization in Buenos Aires, Argentina.

To estimate incidence and prevalence of polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) in a university hospital-based health management organization (Hospital Italiano Medical Care Program) in Argentina. Overall and sex-specific incidence rates (IRs) and prevalence were calculated (age ≥ 50 yrs). Incidence study followed members with continuous affiliation ≥ 1 year from January 2000 to December 2015. Diagnosis as per the 2012 European Alliance of Associations for Rheumatology/American College of Rheumatology (ACR) criteria for PMR or the ACR 1990 criteria for GCA. Prevalence was calculated on January 1, 2015. There were 176,558 persons who contributed a total of 1,046,620 person-years (PY). Of these, 825 developed PMR, with an IR (per 100,000 PY) of 78.8 (95% CI 73.4-84.2) overall, 90.1 (95% CI 82.9-97.2) for women, and 58.9 (95% CI 51.1-66.6) for men. Ninety persons developed GCA; the IR was 8.6 (95% CI 6.8-10.4) overall, 11.1 (95% CI 8.5-10.6) for women, and 4.2 (2.2-6.3) for men. There were 205 prevalent PMR cases and 23 prevalent GCA cases identified from a population of 80,335. Prevalence of PMR was 255 per 100,000 (95% CI 220-290) overall, 280 (95% CI 234-325) for women, and 209 (95% CI 150-262) for men; and the prevalence of GCA was 28.6 per 100,000 (95% CI 16.9-40.3) overall, 36.4 (95% CI 20.1-52.8) for women, and 14.2 (95% CI 0.3-28.1) for men. This is the first study of incidence and prevalence of PMR and GCA in Argentina. There were similarities and differences with cohorts from other parts of the world, but population-based epidemiologic studies in Latin America are needed.

Can patient gratitude compensate for depletion from family-to-work conflict in nurses? An experience sampling study

PurposeNurses' work engagement is critical for the service quality of the hospital. Thus, investigation on the influencing factors of nurses' work engagement has become an important issue. This study addresses this issue by exploring the effect of daily family-to-work conflict (FWC) on next-day work engagement among Chinese nurses.Design/methodology/approachThe theoretical model was tested using 555 experience sampling data from 61 nurses collected for 10 workdays in China.FindingsNurses' daily FWC is associated with their next-day ego depletion. Moreover, increased ego depletion ultimately reduces their next-day work engagement. In addition, a between-individual factor of frequency of perceived patient gratitude mitigates the effect of FWC on ego depletion and the indirect effect on work engagement via ego depletion.Originality/valueThis study is important to the management of health-care organizations as it carries significant implications for theory and practice toward understanding the influence of FWC among nurses. On the one hand, the authors apply the job demands-resources (JD-R) model as the overarching theoretical framework, which contributes to the authors’ understanding of how FWC impairs work engagement. On the other hand, the authors extend extant theoretical models of FWC by identifying the frequency of perceived patient gratitude as an important contextual factor that counteracts the negative effects of FWC among nurses. Moreover, organizations could encourage patients to express their gratitude to nurses by providing more channels, such as thank-you notes, to offer nurses some support for overcoming the destructive effect of FWC.

The role of the management accounting system of Iranian healthcare organizations in the management and control of the COVID-19 pandemic

ABSTRACT The managers of healthcare organizations need the information to confront COVID-19. The aim of this research is to analyze the role of the management accounting system of Iranian healthcare organizations in the management of COVID-19 including diagnosis, prevention, and treatment via a survey on multi-level management. The statistical population consisted of all the managers working in the upper, middle, and operational sections at the medical academies and governmental hospitals in Iran who are somehow involved in COVID-19. The results of the paper indicated all levels of management utilized the information of the management accounting system for performance evaluation of COVID-19 management. In addition, our findings showed that operational managers made little use of information to control patterns and qualitative features in confronting COVID-19. While the upper and middle managers utilized this information significantly. Considering the research’s result and the role of directing management accountants, they should provide the necessary information for each management level to try harder to confront COVID-19.

Identity Constructions of Healthcare Middle-Managers: Exploring the Two Faces of Janus

Based on an interpretive research design, this study responds to the need to understand the complexity of middle-managers organizational life in public healthcare. Middle managers are crucial to supporting the effective and efficient delivery of healthcare services. However, we know little about how they experience and respond to their managerial function, operating at the junction of top-down and bottom-up predicaments and the double professional and managerial role. Based upon interviews with heads of medical units, nurses and administrative staff in public healthcare hospitals, and the observation of managerial actions and interactions, we explored how heads of medical units define their work identities. Four middle manager configurations were found: puppet, foreman, integrator and process promoter. The influence of each configuration on interpersonal relationships and decision making is examined. The research results invite the reader to take a closer look at the two faces of middle managers in healthcare organizations, and how they identify their role and deal with organizational complexity.

Role of the regulator in enabling a just culture: a qualitative study in mental health and hospital care

ObjectivesA just culture is considered a promising way to improve patient safety and working conditions in the healthcare sector, and as such is also of relevance to healthcare regulators who...

Trends in the Development of Digital Technologies in Medicine.

The introduction of digital technologies has led to transformation of the healthcare domain and alterations in the nature of medical services. This article reviews Russian and non-Russian practices in the use of digital technologies to solve clinical medical tasks and scientific research in seeking new methods and means for the diagnosis and treatment of diseases and the management of healthcare organizations.

Features of the work of managers of outpatient and inpatient healthcare organizations in the Gomel region in the context of the third wave of the COVID-19 pandemic

Objective. To study the opinion of the managers of healthcare organizations (HOs) of the Gomel region on the specifics of the functioning of outpatient and inpatient HOs in the region in the context of the third wave of COVID-19 spread, the impact of the current situation on the delivery of health care to the population.Materials and methods. A survey of 96 managers of outpatient and inpatient HOs was conducted, the features of the work in the context of an increased COVID-19 incidence rate and associated difficulties were identified.Results. The vast majority of the surveyed managers of outpatient HOs (77.3%) are convinced that the professional qualifications of medical personnel in their institutions fully meet the requirements for the work with COVID-19 patients, while this belief is shared by less than half (46.7%) of the managers of inpatient ones. However, with such a high assessment of the staffing, the managers of outpatient HOs are experiencing a real shortage of personnel: only 10.6% of them responded that they had not experienced difficulties with staffing during their work in the conditions of the COVID-19 pandemic, and 56.7% of the managers of inpatient HOs responded the same. This is probably why outpatient health care tier managers one and a half times more often noted a significant increase in the duration and intensity of the work of medical personnel during the pandemic than their colleagues from inpatient institutions (62.1 and 40%, respectively). But the opinion about the moral and psychological climate in teams practically coincides in both groups of the managers: deterioration in outpatient HOs was noted in 47% of cases, stability in inpatient ones - in 53.3% of cases. Also, in both the groups, the managers of HOs were satisfied with the normative documentation regulating the delivery of health care in the conditions of the COVID-19 pandemic (managers of outpatient HOs - 7.63 ± 1.35 points, managers of outpatient ones - 7.18 ± 1.92 out of maximum 10 points).Conclusion. The fight against the coronavirus has become a serious test for the healthcare system of the Republic of Belarus. The performed survey has revealed problematic issues that arose in the course of the professional activities of the managers of inpatient and outpatient HOs. According to the respondents, during the COVID-19 pandemic, there was a significant increase in the duration and intensity of work. There were also difficulties related to carrying out the diagnostics, shortcomings in the interaction of medical personnel, etc.

How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review

BackgroundMultiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship’s multi-disciplinary nature. This study aims to answer three research questions: a) What is the state of art of big data analytics adopted by healthcare organizations? b) What about the benefits for both health managers and healthcare organizations? c) What about future directions on big data analytics research in healthcare?MethodsThrough a systematic literature review the impact of big data analytics on healthcare management has been examined. The study aims to map extant literature and present a framework for future scholars to further build on, and executives to be guided by.ResultsThe positive relationship between big data analytics and healthcare organization management has emerged. To find out common elements in the studies reviewed, 16 studies have been selected and clustered into 4 research areas: 1) Potentialities of big data analytics. 2) Resource management. 3) Big data analytics and management of health surveillance systems. 4) Big data analytics and technology for healthcare organization.ConclusionsIn conclusion is identified how the big data analytics solutions are considered a milestone for managerial studies applied to healthcare organizations, although scientific research needs to investigate standardization and integration of the devices as well as the protocol in data analysis to improve the performance of the healthcare organization.

Organizational Agility, Competitive Capabilities, and the Performance of Health Care Organizations During the Covid-19 Pandemic

Purpose: Managers of healthcare organizations must be much more dynamic and agile to survive in a competitive environment. Administrators, managers, and leaders in healthcare organizations must meet both patients’ and staff’s needs, expectations, and requests at the maximum level in order to create organizational agility. What counts among these responsibilities is the use of operational competitive capabilities at the highest level and being organizationally agile? In this context, this study determines the relationship between the operational competitive capabilities of healthcare organizations and organizational agility and examines the mediating role of organizational agility between operational competitive capabilities and organizational performance in healthcare organizations in Turkey. Methodology: The data was collected from the 220 managers of health organizations in Turkey through questionnaires, which were analyzed with the SPSS 26 and AMOS 26 programs. Results: The findings revealed a positive relationship between operational competitive capabilities of managers and between organizational agility and organizational agility, which have a full mediating role between operational competitive capabilities and organizational performance in healthcare organizations . Conclusion: Today’s healthcare organizations’ managers face such important problems and unexpected developments as adapting to a rapidly changing environment and struggles to avoid uncertainty. Therefore, the managers must use their operational competitive capabilities at the highest level and be organizationally agile to maximize their organizations’ performance and survive in this highly competitive environment.

Validation Study of a Value-Based Digital Health Questionnaire.

The paradigm of value-based health care is spreading worldwide; however, Value-Based Digital Health (VBDH) is still an emerging concept. VBDH is understood as the use of digital tools to facilitate the generation of value in health. It is accelerated by technological change, cultural, and organizational factors. An accurate diagnosis of the organizational VBDH maturity is crucial to define and implement strategic actions to progress with VBDH transformation. This study aimed to validate a VBDH questionnaire, which measures the degree of maturity of VBDH from the perspective of managers (N = 146) in Spanish healthcare organizations. Results show good internal consistency of the questionnaire. Factor analysis identified seven dimensions to measure VBHC maturity: (1) Resources, incentives, and financing; (2) Knowledge and participation of patients and workers in the strategy of progress towards VBDH; (3) Training of professionals and tool knowledge for advancement in VBDH; (4) Innovation initiatives; (5) Information and its quality; (6) Leadership, strategy and governance; and (7) Knowledge of the fundamentals and objectives, as well as access to relevant VBDH information. The questionnaire presents good validity and internal consistency and meets the requirements to be an instrument for routine use to assess VBDH organizational maturity.

Impact of Health Information Exchange Adoption on Referral Patterns

Efforts to promote Health Information Exchanges (HIEs) on a nationwide scale are beset with major challenges, and one of them is its meaningful use for both physicians and patients. Referrals potentially provide a context for the meaningful use of HIE, and we are yet to understand how HIEs affect referrals. This research studies the impact of HIE on referral patterns. We establish that participation in an HIE network increases the referrals sent to and received from other HIE participants. We investigate this relationship using both econometric and network-analytic methods. Whereas the econometric analysis focuses on the underlying associations between HIE adoption and referral patterns, the network analysis addresses the transformation process by which HIE adoption and referrals coevolve over time. This study has significant implications for healthcare policy making, development of innovative HIE business models, and management of healthcare organizations. This paper was accepted by Anindya Ghose, information systems. Supplemental Material: Data and the online supplement is available at https://doi.org/10.1287/mnsc.2022.4435 .

Big data analysis for decision-making processes: challenges and opportunities for the management of health-care organizations

PurposeThis study aims to provide a picture of the current state of art in the use of big data for decision-making processes for the management of health-care organizations.Design/methodology/approachA systematic literature review was carried out. The research uses two analyses: descriptive analysis, describing the evolution of citations; keywords; and the ten most influential papers, and bibliometric analysis, for content evaluation, for which a cluster analysis was performed.FindingsA total of 48 articles were selected for bibliographic coupling out of an initial sample of more than 5,000 papers. Of the 48 articles, 29 are linked on the basis of their bibliography. Clustering the 29 articles on the basis of actual content, four research areas emerged: quality of care, quality of service, crisis management and data management.Originality/valueHealth-care organizations believe strongly that big data can become the most effective tool for correctly influencing the decision-making processes. Thus, more and more organizations continue to invest in big data analytics, and the literature on this topic has expanded rapidly. This study seeks to provide a comprehensive picture of the different streams of literature existing, together with gaps in research and future perspectives. The literature is mature enough for an analysis to be made and provide managers with useful insights on opportunities, criticisms and perspectives on the use of big data for health-care organizations. However, to date, there is no comprehensive literature review on the big data analysis in health care. Furthermore, as big data is a “sexy catchphrase,” more clarity on its usage may be needed. It represents an important tool to be investigated and its great potential is often yet to be discovered. This study thus sheds light on emerging issues and suggests further research that may be needed.