Technology Mediated Collaborations in Healthcare and Wellness Management Minitrack
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Today all countries (developed, developing, and emerging) are faced with exponentially increasing costs for healthcare delivery coupled with challenges of changing demographics as well as an increase in chronic diseases. There is a growing need to deliver more effective and efficient healthcare. To address this situation we are witnessing the application of various technology solutions to support superior healthcare delivery and specifically the universal embracement of e-health. These solutions include incorporation of web based solutions be it as a EMR, HER or PHR as well as a plethora of apps to support monitoring and management of acute and chronic diseases. Further we are seeing the growth of Web 2.0 initiatives to support consumer healthcare initiatives such as web sites including patients like me which also serve to make patients more empowered in their own healthcare and wellbeing. A unifying factor of all these applications is of course collaboration technologies that enable and facilitate all these possibilities.
In order to achieve successful and superior healthcare delivery in such an e-health context it is necessary to consider people, process and technology issues. To do this in a systematic and holistic fashion we proffer an ontological framework to encapsulate and unify all critical interactions between and within the web of players in e-health. The five primary stakeholders in healthcare: researchers, clinicians, nurses, patients, and administrators form the basis of any partnership in health care. They are listed under the two partnership sub-dimensions. Software Agents/Bots which are playing an increasing independent role in the delivery of healthcare have been added to the list of partners. A partnership may be between two researchers, a researcher and a clinician, a patient and a nurse, etc. These dyads are summarized by the two columns under partners. There may also be triadic and higher order partnerships among these partners.
The partnerships may be based on an exchange of data, analysis, diagnosis, or treatment singly or in combination. These are listed under the content dimension of the framework. Thus collaboration between two researchers may use data, between a patient and a nurse may be for diagnosis or treatment, and so on.
The Media for partnership may be Personal, Social, Mass, or Institutional. The framework lists the key media in healthcare in each of the categories. Thus, for example, researchers may exchange analysis via personal media, patients may exchange treatments via social media, and clinicians and administrators may exchange data via institutional media.
The purpose of the collaboration may be care, research, administration, education or a combination of the four. These are listed under the purpose dimension of the ontology. Thus collaboration between two researchers using data may be for research, and between a patient and a clinician may be for diagnosis for care.
In the above framework, there are a very large number of basic types of collaborations one can consider in healthcare. The number will change if the dimensions and categories are modified. In a practical context multiple combinations will likely coexist. A clinician-patient collaboration using data via individual media for care may be supplemented by a nurse-patient collaboration using social media for education.
Technology’s impact on the efficiency and effectiveness of these collaborations will be determined by the architecture of the technology, the systems developed around it, and the strategy for implementing it. The efficacy of the architecture will determine the efficacy of the system, and the efficacy of the system will determine the efficacy of the strategy. Thus the three categories under the technology dimension in the framework.
The framework helps organize the pieces of the puzzle, synthesizing what is known, determining the gaps, and directing future research on the topic. We invite papers focusing any one or many of the innumerable combinations in the framework. We welcome papers which address the state-of-the-art, state-of-the-need, and the state-of-the-practice of these combinations. We solicit papers from a variety of researchers studying these types of collaborations. Further, selected papers from this minitrack will be published in a special issue in Heath and Technology by Springer.
Souren Paul (Primary Contact)
Nova Southeastern University
University of Illinois at Chicago
Deakin University, Australia
ItemKnowledge Activation for Patient Centered Care: Bridging the Health Information Technology Divide( 2017-01-04)The provision of healthcare is a collaborative process. It follows evidence based treatments which are becoming increasingly data driven and focusing on the best clinical outcomes. Patient centered care requires participation of patients in the decision making of the best treatment options. Healthcare provision requires both evidence based and patient centered care. In practice, these two perspectives conflict with each other due to the use of an information technology designed primarily for billing purposes. Using the knowledge activation framework developed by Qureshi and Keen , we analyze data from two hospitals in the Midwest that aim to achieve quality of care outcomes mandated by the Affordable Care Act. Following a grounded theory analysis of the focus group sessions we discover knowledge activation processes that may help overcome the divide between patient and evidence based care.
ItemE-Health: Value Proposition and Technologies Enabling Collaborative Healthcare( 2017-01-04)E-health, enabled by ubiquitous computing and communication technologies, is facilitating a fundamental shift in the age old praxis of healthcare. It is revolutionizing healthcare in the 21st century in much the same way as the arrival of modern medicine and vaccines did in the 19th century. E-health lies at the intersection of diverse disciplines including healthcare, computer science, information systems, economics, and political science. The broad impact of E-health on diverse domains, complexity of supporting technologies, and the dizzying interplay of theories bridging multiple disciplines creates a rich problem space for information system researchers and calls on to conduct cross-disciplinary research. In the current paper we present salient characteristics of e-health and discuss its value proposition. The value proposition of e-health presents the entire range of processes supporting the healthcare sector. We also present research opportunities as e-health takes center stage in the delivery of healthcare.
ItemDesign of Integral Reminder for Collaborative Appointment Management( 2017-01-04)Reminder systems have great potential to enhance healthcare outcome, but there is a big space for improvement to facilitate the collaborative appointment management with accessible mobile communication technology. This study proposes a design of integral reminder systems that automates the process of appointment rescheduling for patients and physicians in addition to confirmation and cancellation. Based on the premises of patient-centered care of media synchronicity theory, design principles are proposed to cater to the different requirements of healthcare providers and patient users on appointment management. The design provides useful guidelines for building integral reminder systems that enhance medical compliance.
ItemAnalyzing Collaborative Patient Care Solutions Using Activity Theory( 2017-01-04)Collaborative Patient Care Systems have become increasingly popular in the last years as they enable patient-centric quality care delivery to ensue. However, past experiences have shown that technical systems in healthcare are often complex and if not implemented carefully, taking into consideration multiple stakeholder perspectives, they generally fail to realize their full capabilities. Hence, this paper aims to answer, how Activity Theory can facilitate the understanding of the benefits and challenges of a complex technology solution in healthcare. For this purpose, a case study is examined, in which a patient care system, implemented at a hospital in Australia, is mapped to an activity system. Further, problems of the system are uncovered and resolved by the application of an enhanced Activity Theory framework. The study’s outcome demonstrates that the introduced framework is an ideal tool to analyze and improve socio-technical systems in healthcare and helps to achieve their full potential.