Managing Wireless Networks in the Healthcare Sector: Emerging Experiences of Cultural Impacts

The existing body of knowledge has generally supported that organizational culture plays a significant role in shaping group identity, work pattern, communication schemes, and interpersonal relations; all of these cultural elements are important organizational factors that shape workplaces and operational routines. In the context of emerging information technology, it has also been suggested that organizational culture could affect IT implementation and management. However, little is known about how emerging information technology shapes organizational culture, which in turn helps reshape the organization as a whole. The purpose of this paper is thus to build empirical understanding of how IT in general and emerging wireless networks in particular reshapes organizational culture. Case studies conducted in two hospitals situated in southwest U.S.A. illustrated that the implementation of wireless networks indeed helped shape and/or reshape organizational culture in the healthcare sector and in turn enhance healthcare organizations’ competitiveness in the marketplace. For IT managers and practitioners in healthcare institutions, effective strategy to plan and manage emerging ITs such as wireless networks will thus have long-term implications on cultivating organizational culture that could eventually reshape workplace and competitiveness

mHealth in China and the United States: How Mobile Technology is Transforming Healthcare in the World's Two Largest Economies

In this paper, we explore ways mobile technology can help with these difficulties. Specifically, we look at avenues through which mobile devices boost productivity, aid communications, and help providers improve affordability, access, and treatment. Using data drawn from China and the United States as well as global trends, we look at recent developments andemerging opportunities in mobile health, or mHealth. We argue that mobile technology assists patients, health providers, and policymakers in several different respects. It helps patients by giving them tools to monitor their health conditions and communicate those results to physicians. It enables health providers to connect with colleagues and offers alternative sources of information for patients. It is also an important tool to inform policymakers on health delivery and medical outcomes

Determinants of User Acceptance of a Local eGovernment Electronic Document Management System (EDMS)

On numerous occasions the significant value of the investments involved in the development of eGovernment and the expectations of governmental information systems use do not correspond to the rate of effective use. This scenario makes it difficult to justify the development of electronic government by governments and local authorities among its citizens. It is therefore important to understand the factors that influence the employees' intention of using governmental information systems. With the aim of understanding the determining factors of using an Electronic Document Management System (EDMS) in the context of Portuguese municipalities, this study develops an empirical analysis using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, (Venkatesh et al., 2003). This model's application for information systems research in the governmental context has a weak expression and is unique in EDMS research. This empirical research follows a realist and positivist approach. Data was collected from a survey answered by 2,175 employees of Portuguese municipalities (EDMS users). Partial Least Squares (PLS) was used to test the model proposed. The results showed that Intention to Use is positively affected by Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions. With respect to the EDMS Use, the results showed that it is positively influenced by Intention to Use and Facilitating Conditions. The main result indicates that EDMS users believe that the use of this information system will help them to obtain performance benefits in their work. However, the increasing use of EDMS is not very influenced by the system's perceived ease of use. In short, this study provides a contribution to the Information Systems Acceptance and Adoption literature in local eGovernmental contexts. In addition, our contribution empirically tests the model for implementation in governmental organizations and provides a better understanding of the adoption and use of an EDM

A Framework for the Design of a Mobile-Based Alert System for Outpatient Adherence in Nigeria

Nigeria ranks among the countries with the highest child and maternal mortality rate. Chronic diseases are the most common contributors to the diseases burden in Nigeria most especially Malaria, Tuberculosis (TB) and HIV/AIDS. Adherence to long-term therapy in out-patient condition is required to reduce and curb the prevalence of these diseases. Poor adherence to long-term therapies severely compromises the effectiveness of treatment; making this a critical issue in population health both from the perspective of quality of life and of health economics. This work introduces a m-technology based system that will provide an easy way of complying with drug regimen. It will make use of the Short Messaging Service (SMS) of mobile phones to provide reminders at dosing times. It will design architecture for mobile health interventions and develop a prototype SMS-based system to improve out-patient adherence. This system will be deployed over a period of time at selected hospitals and chronic disease management centers in selected states in Nigeria, and the adherence rates measured via health outcomes and evaluated. This would provide a significant positive return on investment through primary prevention (of risk factors) and secondary prevention of adverse health outcomes. It will also inform predictions of future population health outcomes predicted by treatment efficacy data. Keywords: out-patient, m-technology, adherence, chronic diseases, Nigeria, SM

How 5G wireless (and concomitant technologies) will revolutionize healthcare?

The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years. In particular, the third SDG focuses on the need to “ensure healthy lives and promote well-being for all at all ages”. In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare systems in the near future. Our optimism around 5G-enabled healthcare stems from a confluence of significant technical pushes that are already at play: apart from the availability of high-throughput low-latency wireless connectivity, other significant factors include the democratization of computing through cloud computing; the democratization of Artificial Intelligence (AI) and cognitive computing (e.g., IBM Watson); and the commoditization of data through crowdsourcing and digital exhaust. These technologies together can finally crack a dysfunctional healthcare system that has largely been impervious to technological innovations. We highlight the persistent deficiencies of the current healthcare system and then demonstrate how the 5G-enabled healthcare revolution can fix these deficiencies. We also highlight open technical research challenges, and potential pitfalls, that may hinder the development of such a 5G-enabled health revolution

Patient-centered care process enabled by Integrative Social Media Platform in an outpatient setting

As an effort to guide patients toward being more informed and more involved as healthcare decision makers in the clinical processes, health care organizations have adopted a new technology referred to as an integrative social media platform (ISMP). This ISMP combines features of mobile technology and those of social media technology, integrating healthcare systems in order to support a more patient-centered healthcare process. However, users, both physicians and patients, have showed varied usages of ISMP, as a results, have shown mixed results of ISMP. To provide a better understanding of the use of ISMP, especially the interaction between patients and physicians, I turned to the concept of affordances. Affordances describe the possibilities for goal-oriented actions that a technical object offers to a user. Using a mixed-method approach with real archival event log data, conversation texts, documents, interview, and focus-group data from a large hospital which had adopted an ISMP, I confirmed three types of affordance: perceived affordance, behavioral affordance, and interactive affordance. I identified two key affordances of ISMP that lead to patient-centered care, namely ubiquitous access and virtual healthcare consultation, which represent a behavioral affordance and an interactive affordance, respectively. I also explored how different types of affordances are actualized and how they interact with each other to contribute to patient-centered care

Physician’s Usage Of Mobile Clinical Applications In A Community Hospital: A Longitudinal Analysis Of Adoption Behavior

It is widely believed that mobile clinical information systems can facilitate patient care, increase treatment capacity, reduce healthcare costs, and improve efficiency. Yet, there is limited research to substantiate these claims in healthcare delivery settings, partly due to lack of widespread adoption and use. This study summarizes our results on the adoption and usage trends in a community hospital which deployed several mobile clinical applications for daily patient care. We analyze twenty-two months of usage data to understand trends in physicians’ adoption and use of specific mobile applications. Applying a novel, semi-parametric, group-based, statistical methodology, we obtain developmental trajectories depicting how usage evolves from initial ‘trial’ adoption to long-term institutionalization. We examine this longitudinal developmental pattern to understand how users can be clustered and profiled, and provide insights indicating that the potential impact of social influence needs to be further explored to develop new approaches to facilitate adoption