Implementation of the personal healthcare services on automotive environments

One of the main purposes of personal healthcare devices is for elderly people with chronic illness that needs a health monitoring continuously in common life. There are several standard specifications for personal healthcare devices to interact each other safely and compatibly. Depending on evolution of technology, the elderly and the chronic disease can have their own personal healthcare devices, and they can monitor themselves easily. However, some kind of limitation is still remaining in their life even if they have powerful smart devices. In situation that they need to drive and go to get treatment and to prepare medicine, automotive system does not support interfaces for personal healthcare devices. Therefore, we discuss about several standards of the personal healthcare devices and interfaces for connection of personal healthcare device. Also, automotive environments that include various network interfaces for infotainment and interconnection between infotainment system and devices and platform are considered. After that, we propose several implementations of personal healthcare services to support standard of personal healthcare devices on automotive system.     

Information systems help knowledge workers work even harder at productivity

Information systems are here to stay, but their full benefits continue to elude healthcare users. Multimillion dollar systems--for all of their promise--tend to create more work. Some even require significant additional staffing to maintain them. How can healthcare knowledge workers measure and increase their productivity?     

Wake up to managing customer relationships

A survey of 50,000 American households on their habits in purchasing healthcare services shows that healthcare marketers need to "wake up" to managing their customer base more effectively before they miss critical opportunities to capture and retain business.     

A system for the provision of medical diagnostic and treatment advice in home care environment

Healthcare is an increasingly collaborative enterprise, involving broad range of healthcare services provided by many individuals and organizations. Apart from the provision of healthcare services to patients during hospitalization, the ability to assist people who have healthcare needs at their homes (e.g., the elderly) has become an increasingly critical issue. Provision of such personalized medical care services to patients requires readily access to integrated healthcare services ubiquitously. The integration of mobile and wireless devices with Grid technology can provide ubiquitous and pervasive access to Grid services. This article presents MASPortal, a Grid portal application for the assistance of people who are in need of medical advice at their homes. MASPortal is designed for use with wireless Personal Digital Assistants (PDAs) and provides remote access to an automated medical diagnostic and treatment advice system via an adaptive and easy to use interface. MASPortal has been implemented with a multi-layered security infrastructure in order to ensure secure access to healthcare processes and sensitive patient data.     

Medical Record Privacy and Security in a Digital Environment

Quality healthcare increasingly means addressing the security, privacy, and confidentiality of medical records in both wire-line and wireless environments. This article attempts to address these concerns by presenting a comparison of data-flow patterns in an electronic healthcare setting to those in traditional medical offices and demonstrating cost-effective ways that IT consultants can help healthcare providers working in EHRs maintain and administer their own privacy and security policies.     

Motivations underlying the adoption of ERP systems in healthcare organizations: Insights from online stories

To face their changing environment, a growing number of healthcare institutions are investing in ERP systems as their basic technological infrastructure, highlighting a phenomenon that recalls the earlier popularity of the ERP movement in the manufacturing and financial sectors. Based on the analysis of 180 stories published on ERP vendors’ websites, the primary aim of this study is to identify, characterize and contextualize the motivations that lead to the adoption of these systems in healthcare organizations. Our findings first indicate that these motivations can be classified into six broad categories, namely technological, managerial-operational, managerial-strategic, clinical-operational, clinical-strategic, and financial. Moreover, three clusters of healthcare organizations were identified with regard to these motivations, and labelled as taking a “business”, “clinical” or “institutional” view of ERP adoption decisions. Given the specificities of IT adoption in the healthcare sector, the importance of these results from a theoretical standpoint lies in filling a knowledge gap in both the ERP and health IT research domains. From a practical standpoint, these results are of interest for policy makers and healthcare managers that must deal with continuous increases in healthcare costs and major demographic changes, and thus need to improve the efficiency and quality of healthcare services provided to patients through IT-based innovations.     

Information systems support for healthcare quality: a comprehensive framework

Although management concepts for delivering quality products and services have been employed extensively in other industries, their inroads into healthcare have been comparatively slight. In the first of a two-part series, healthcare information systems consultant Peter Spitzer, M.D., sets forth a framework for defining high-quality healthcare delivery, and he tells how information systems can be put to work to achieve this goal.     

Cooperative-Competitive Healthcare Service Negotiation

Service negotiation is a complex activity, especially in complex domains such as healthcare. The provision of healthcare services typically involves the coordination of several professionals with different skills and locations. There is usually negotiation between healthcare service providers as different services have specific constraints, variables, and features (scheduling, waiting lists, availability of resources, etc.), which may conflict with each other. While automating the negotiation processes by using software can improve the effciency and quality of healthcare services, most of the existing negotiation automations are positional bargaining in nature, and are not suitable for complex scenarios in healthcare services. This paper proposes a cooperative-competitive negotiation model that enables negotiating parties to share their knowledge and work toward optimal solutions. In this model, patients and healthcare providers work together to develop a patient-centered treatment plan. We further automate the new negotiation model with software agents.     

Transforming healthcare: policy discourses of IT and patient-centred care

Information Technology (IT) is increasingly seen in policy and academic literature as key to the modernization of healthcare provision and to making healthcare patient-centred. However, the concept of Patient-Centred Care (PCC) and the role of IT in the transformation of healthcare are not straightforward. Their meanings need unpacking in order to reveal assumptions behind different visions and their implications for IT-enabled healthcare transformation. To this end, this paper reviews literature on PCC and IT and analyses England’s health policy between 1989 and 2013. English policy has set out to transform healthcare from organization-centric to patient-centred and has placed IT as central to this process. This policy vision is based on contested conceptualizations of PCC. IT implementation is problematic and this is at least partly because of the underpinning goals and visions of healthcare policy. If this misalignment is not addressed then producing technologically superior systems, or better IT implementation strategies, is unlikely to result in widespread and substantial changes to the way healthcare is delivered and experienced. For IT to support a healthcare service that is truly patient-centred, patients’ needs and wants need to be identified and designed into IT-enabled services rather than simply added on afterwards.     

Getting the most from word processing

Users of word processing in healthcare organizations do not get the productivity they should with today's word processing technology. The technology performs well, better each year, but healthcare users haven't organized their operations to maximize productivity. Out-of-date ideas about office work, lack of organized direction in the use of word processing technology and a continuing resistance to change all contribute to the loss of potential productivity increases from word processing in healthcare organizations.     

Internet of Things in Healthcare: Architecture,Applications, Challenges,and Solutions

Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT). Many healthcare leaders are investing more money for transforming their services to harness the benefits provided by IoT, thereby paving the way for the Internet of Medical Things (IoMT), an extensive collection of medical sensors and associated infrastructure. IoMT has many benefits like providing remote healthcare by monitoring health vitals of patients at a distant place, providing healthcare services to elderly people, and monitoring a large group of people in a region or country for detection and prevention of epidemics. This paper provides a review of IoT in the healthcare domain by first describing the enabling technologies for delivering smart healthcare, followed by some of the key applications of IoT in healthcare. Next, a fog-based architecture consisting of three layers for IoT-based healthcare applications is proposed. Finally, we focus on some of the open challenges of IoT in healthcare, like fault tolerance, interoperability, latency, energy efficiency, and availability. Existing solutions for these challenges are also discussed.     

Smart health: Big data enabled health paradigm within smart cities

In the era of “big data”, recent developments in the area of information and communication technologies (ICT) are facilitating organizations to innovate and grow. These technological developments and wide adaptation of ubiquitous computing enable numerous opportunities for government and companies to reconsider healthcare prospects. Therefore, big data and smart healthcare systems are independently attracting extensive attention from both academia and industry. The combination of both big data and smart systems can expedite the prospects of the healthcare industry. However, a thorough study of big data and smart systems together in the healthcare context is still absent from the existing literature. The key contributions of this article include an organized evaluation of various big data and smart system technologies and a critical analysis of the state-of-the-art advanced healthcare systems. We describe the three-dimensional structure of a paradigm shift. We also extract three broad technical branches (3T) contributing to the promotion of healthcare systems. More specifically, we propose a big data enabled smart healthcare system framework (BSHSF) that offers theoretical representations of an intra and inter organizational business model in the healthcare context. We also mention some examples reported in the literature, and then we contribute to pinpointing the potential opportunities and challenges of applying BSHSF to healthcare business environments. We also make five recommendations for effectively applying `BSHSF to the healthcare industry. To the best of our knowledge, this is the first in-depth study about state-of-the-art big data and smart healthcare systems in parallel. The managerial implication of this article is that organizations can use the findings of our critical analysis to reinforce their strategic arrangement of smart systems and big data in the healthcare context, and hence better leverage them for sustainable organizational invention.     

Text Analysis of Green Supply Chain Practices in Healthcare

The growing demand for environmentally safe products in the healthcare industry requires the United States to implement environmentally sustainable principles in healthcare systems. In this research, we build an experimental text analysis system which can analyze large collections of documents related to healthcare systems, in order to extract information about their green supply chain practices. Collocation and sequential pattern mining analysis techniques are applied in the experimental system. When tested and evaluated, the system is found to have a recall of 72% and a precision of 73.1%.     

Monitoring healthcare performance by analytic hierarchy process: a developing-country perspective

The formulation and solution of multi‐criteria healthcare decision problems is of critical importance to the health and socio‐economic betterment of developing countries. The study shows how the multi‐criteria decision‐making method could facilitate implementation of healthcare performance analysis, especially for the public healthcare system of Bangladesh, which operates mainly through thana health complexes (THCs). We include outreach services and rural facilities together with ongoing THC activities, and analyze their relative performance. The methodology uses a phase of the Delphi method and of the analytic hierarchy process (AHP) approach. The outcome of Delphi is used as input for the hierarchical processing procedure in AHP and determines performance order of the healthcare activities. Results from AHP are discussed for implementation in decision‐making and the managerial policymaking process, towards improvement of overall healthcare performance.     

Provenance in Agent-Mediated Healthcare Systems

This article is part of a special issue on Intelligent Agents in Healthcare. Healthcare information systems can use agent-oriented cooperation techniques and standardized, electronic healthcare-record-exchange protocols to combine information about the different facets of a patient's therapy provided by different healthcare providers at different locations. Provenance is an innovative approach to tracing events in complex distributed processes. It also traces dependencies between such events and associated decisions by human actors. This article focuses on three aspects of provenance in agent-mediated healthcare systems. First, it defines provenance and shows how to apply it in agent-mediated healthcare applications. Second, it introduces a method that lets independent, autonomous healthcare agents that don't directly interact document their processes. Third, it shows how this approach helps institutions contend with privacy issues.     

A mashup based framework for multi level healthcare interoperability

Healthcare delivery is evolving from disease-centered to patient-centered care delivery where patients are active participants in their healthcare delivery. This calls for more communication and collaboration among all healthcare actors. There is also an increasing demand for personalized healthcare systems that provide effective information management, facilitate communication and collaboration, and support applications to meet user requirements. To address these challenges, we need to advance the integration and interoperability of healthcare applications in a controlled manner. Drawing upon a conceptual model from a collaborative care case study, we identified a set of interoperability requirements and developed a Mashup based interoperability framework. Our framework allows patients and other healthcare actors to engage in collaborative processes through online applications facilitated by mashups. We then use proof-of-concept implementations to demonstrate how our framework is able to facilitate different types of interoperability. We believe that collaborative technologies such as mashups can implement process interoperability requirements to support collaborative care delivery, particularly for asynchronous care delivery.     

Designing with Care: The Future of Pervasive Healthcare

Humane care—which is an important design paradigm relevant for pervasive healthcare—means designing systems with care, keeping in mind both users and other stakeholders. Understanding human values is a key factor in creating any successful healthcare application and is essential to avoid dehumanizing and stigmatizing users. By considering human values, designers and developers can create pervasive healthcare applications that better fit users' needs and desires. The Designing with Care 09 workshop aimed to bring together researchers, designers, and practitioners to share their experiences with incorporating values into the design of pervasive healthcare systems and to help understand the sensitive issues involved in designing for healthcare. Based on the findings from the workshop, the present state of the art is discussed, and a research agenda is presented.     

Hospital saves with bedside point-of-care system

Do bedside and point-of-care systems actually deliver on their promise of reducing operating expenses while helping improve the overall quality of healthcare? And how does a healthcare facility quantify associated "productivity" improvements to prove cost savings? These are two critical issues that healthcare providers face in implementing a bedside or point-of-care (POC) system. Barnes Hospital, St. Louis, is a 1,000 bed member facility of the Barnes-Jewish Inc./Christian Health Services integrated health system. Barnes Hospital has indeed seen significant cost savings as a result of a POC project.     

Big Data Analytics in Healthcare — A Systematic Literature Review and Roadmap for Practical Implementation

The advent of healthcare information management systems (HIMSs) continues to produce large volumes of healthcare data for patient care and compliance and regulatory requirements at a global scale. Analysis of this big data allows for boundless potential outcomes for discovering knowledge. Big data analytics (BDA) in healthcare can, for instance, help determine causes of diseases, generate effective diagnoses, enhance QoS guarantees by increasing efficiency of the healthcare delivery and effectiveness and viability of treatments, generate accurate predictions of readmissions, enhance clinical care, and pinpoint opportunities for cost savings. However, BDA implementations in any domain are generally complicated and resource-intensive with a high failure rate and no roadmap or success strategies to guide the practitioners. In this paper, we present a comprehensive roadmap to derive insights from BDA in the healthcare (patient care) domain, based on the results of a systematic literature review. We initially determine big data characteristics for healthcare and then review BDA applications to healthcare in academic research focusing particularly on NoSQL databases. We also identify the limitations and challenges of these applications and justify the potential of NoSQL databases to address these challenges and further enhance BDA healthcare research. We then propose and describe a state-of-the-art BDA architecture called Med-BDA for healthcare domain which solves all current BDA challenges and is based on the latest zeta big data paradigm. We also present success strategies to ensure the working of Med-BDA along with outlining the major benefits of BDA applications to healthcare. Finally, we compare our work with other related literature reviews across twelve hallmark features to justify the novelty and importance of our work. The aforementioned contributions of our work are collectively unique and clearly present a roadmap for clinical administrators, practitioners and professionals to successfully implement BDA initiatives in their organizations.      

电子保健体系及其关键技术分析

关注健康的人们正面对这样一个现实：健康信息零散地掌握在个人、医生、医院、机构甚至雇主手中,不成体系,缺乏逻辑关联.建立电子保健体系就是要集成涵盖从生到死整个历程的保健资源,它依托互联网,随时随地向个人、医生及相关机构提供安全、完整和规范的保健信息.探讨电子保健体系的框架结构、基本功能、相关国际规范以及关键技术.分析建立该体系面临的主要困难和制约因素,提出一套较为可行的实施方案.