Entrepreneurship in American Higher Education

Presents recommendations by the Kauffman Panel on Entrepreneurship Curriculum in Higher Education on making entrepreneurship a key element in the curriculum, co-curriculum activities, and university management. Includes profiles of innovative programs

Leadership of healthcare commissioning networks in England : a mixed-methods study on clinical commissioning groups

Objective: To explore the relational challenges for general practitioner (GP) leaders setting up new network-centric commissioning organisations in the recent health policy reform in England, we use innovation network theory to identify key network leadership practices that facilitate healthcare innovation. Design: Mixed-method, multisite and case study research. Setting: Six clinical commissioning groups and local clusters in the East of England area, covering in total 208 GPs and 1 662 000 population. Methods: Semistructured interviews with 56 lead GPs, practice managers and staff from the local health authorities (primary care trusts, PCT) as well as various healthcare professionals; 21 observations of clinical commissioning group (CCG) board and executive meetings; electronic survey of 58 CCG board members (these included GPs, practice managers, PCT employees, nurses and patient representatives) and subsequent social network analysis. Main outcome measures: Collaborative relationships between CCG board members and stakeholders from their healthcare network; clarifying the role of GPs as network leaders; strengths and areas for development of CCGs. Results: Drawing upon innovation network theory provides unique insights of the CCG leaders’ activities in establishing best practices and introducing new clinical pathways. In this context we identified three network leadership roles: managing knowledge flows, managing network coherence and managing network stability. Knowledge sharing and effective collaboration among GPs enable network stability and the alignment of CCG objectives with those of the wider health system (network coherence). Even though activities varied between commissioning groups, collaborative initiatives were common. However, there was significant variation among CCGs around the level of engagement with providers, patients and local authorities. Locality (sub) groups played an important role because they linked commissioning decisions with patient needs and brought the leaders closer to frontline stakeholders. Conclusions: With the new commissioning arrangements, the leaders should seek to move away from dyadic and transactional relationships to a network structure, thereby emphasising on the emerging relational focus of their roles. Managing knowledge mobility, healthcare network coherence and network stability are the three clinical leadership processes that CCG leaders need to consider in coordinating their network and facilitating the development of good clinical commissioning decisions, best practices and innovative services. To successfully manage these processes, CCG leaders need to leverage the relational capabilities of their network as well as their clinical expertise to establish appropriate collaborations that may improve the healthcare services in England. Lack of local GP engagement adds uncertainty to the system and increases the risk of commissioning decisions being irrelevant and inefficient from patient and provider perspectives

Towards a Business Intelligence Maturity Model for Healthcare

Healthcare is a very complex, knowledge-driven industry. Electronic health record implementations have created massive amounts of clinical and financial data. The accumulation of data is outpacing the ability of organizations to leverage the data for improving financial and clinical efficiencies and quality of care. It is believed that careful and attentive use of business intelligence (BI) in healthcare can transform data into knowledge that can improve patient outcomes and operational efficiency. BI maturity models are a way of identifying strengths and weaknesses of the information maturity of a business. This paper presents a comprehensive review of existing BI maturity models to determine their adequacy for use in healthcare. The review identifies gaps in existing BI maturity models and presents requirements for a healthcare-specific maturity model. The results of this study will be used to develop a BI maturity model that addresses the complex characteristics and needs of healthcare organizations

Towards a Business Intelligence Maturity Model for Healthcare

Healthcare is a very complex, knowledge-driven industry. Electronic health record implementations have created massive amounts of clinical and financial data. The accumulation of data is outpacing the ability of organizations to leverage the data for improving financial and clinical efficiencies and quality of care. It is believed that careful and attentive use of business intelligence (BI) in healthcare can transform data into knowledge that can improve patient outcomes and operational efficiency. BI maturity models are a way of identifying strengths and weaknesses of the information maturity of a business. This paper presents a comprehensive review of existing BI maturity models to determine their adequacy for use in healthcare. The review identifies gaps in existing BI maturity models and presents requirements for a healthcare-specific maturity model. The results of this study will be used to develop a BI maturity model that addresses the complex characteristics and needs of healthcare organizations

Artificial Intelligence in Business: A Literature Review and Research Agenda

The rise of artificial intelligence (AI) technologies has created promising research opportunities for the information systems (IS) discipline. Through applying latent semantic analysis, we examine the correspondence between key themes in the academic and practitioner discourses on AI. Our findings suggest that business academic research has predominantly focused on designing and applying early AI technologies, while practitioner interest has been more diverse. We examine these differences in the socio-technical continuum context and relate existing literature on AI to core IS research areas. In doing so, we identify existing research gaps and propose future research directions for IS scholars related to AI and organizations, AI and markets, AI and groups, AI and individuals, and AI development

Cultural Transformation in Health Care

Describes the role of organizational culture in healthcare organizations. Recommends strategies for innovative approaches to improve the overall performance of the U.S. healthcare system

Moving Care to the Community: An International Perspective

Medical treatments that were once provided in hospital are being increasingly administered in the community. Within health systems, there is a renewed focus on delivering general health care in the community, freeing hospitals to provide more complex, specialised and emergency care. As the drive to shift specialised and non-specialised care out of hospital gathers momentum, there is a greater demand for a skilled and competent community nursing workforce to facilitate this shift at a local level. Nurses are essential in the delivery of continuous care as they often serve as an interface between acute and community care, focusing on prevention, self- management and providing support to transition patients smoothly across the health and social care services.Moving care to the community has been a UK-wide health and social care policy priority for more than a decade. However, progress has been slow and in some cases fragmented. In order to address the issue, it is important to first review where this shift has been implemented and which lessons can be learned from international experiences. The RCN is committed to working closely with its equivalent nursing organisations overseas to learn from international best practices and incorporate some of this learning to shape health and social care policy in the UK, and more specifically promote good nursing practice. This report will focus on system-wide or sector specific reforms in Australia, Canada, Sweden, Norway and Denmark as these countries have at one point or another addressed the need todeliver care outside of hospitals, either in patients' homes, GP clinics, community-basedcentres or care home settings

Mapping Cloud-Edge-IoT opportunities and challenges in Europe

While current data processing predominantly occurs in centralized facilities, with a minor portion handled by smart objects, a shift is anticipated, with a surge in data originating from smart devices. This evolution necessitates reconfiguring the infrastructure, emphasising computing capabilities at the cloud's "edge" closer to data sources. This change symbolises the merging of cloud, edge, and IoT technologies into a unified network infrastructure - a Computing Continuum - poised to redefine tech interactions, offering novel prospects across diverse sectors. The computing continuum is emerging as a cornerstone of tech advancement in the contemporary digital era. This paper provides an in-depth exploration of the computing continuum, highlighting its potential, practical implications, and the adjustments required to tackle existing challenges. It emphasises the continuum's real-world applications, market trends, and its significance in shaping Europe's tech future