BEGIN:VCALENDAR VERSION:2.0 PRODID:https://github.com/derhansen/sf_event_mgt METHOD:PUBLISH BEGIN:VEVENT UID:5169-5153@fg-digital-health.gi.de CLASS: PUBLIC SUMMARY:BISE CfP Special Issue "Reimagining Digital Health" DESCRIPTION:Special Issue\n\nEmerging technologies in healthcare such as we arables, robotics, nanotech, connected health, and genomics technologies pr oduce increasing amounts of data, which fuel artificial intelligence-powere d algorithms to actively react to, predict, and prevent diseases and steer scarce healthcare resources. Currently, while digitalization in the healthc are sector differs across European countries and worldwide, we see increasi ng advances that promise highly personalized, predictive, closed-loop, prev entive healthcare solutions. These solutions present a chance to increase t he quality and empower users of healthcare services, to make healthcare pro cesses more efficient, and to create more inclusive healthcare services for disadvantaged communities and minority groups.\n\nBusiness & Information S ystems Engineering (BISE) has followed the adoption of important healthcare technologies such as electronic health records and digital health apps for more than a decade, beginning with a special issue on these topics (1/2013 ). This special issue of BISE builds on these foundations and is dedicated to emerging technologies in digital health that transform healthcare delive ry–with important implications for patient value.\n\nIn this special issue, we strive for inclusivity. We are open to all work (qualitative, quantitat ive, computational, design) in relation to reimagining digital health, and encourage work from different regions worldwide. Submitted manuscripts shou ld be well-grounded in theory and need to persuasively demonstrate both pra ctical relevance and substantial contributions to the scientific knowledge base. The scope of the special issue covers the full cycle “from bench to b edside”. This means we encourage work covering the potentials of emerging t echnologies that are on the cusp of revolutionizing healthcare, the impleme ntation of those emerging technologies in real-world healthcare settings, t o studies that are investigating how the increasing amount of healthcare da ta can be made usable to unleash data-driven research. While we generally a ccept manuscripts from a broad thematic range at the intersection of health care and information systems, we see two thematic foci at the core of this special issue.\n\nCreating Patient Value from Implementing Digital Health T echnologies and Reimagining Care Pathways\n\nWhile digital health applicati ons and telemedicine have become the norm in many settings, there are still large uncertainties for organizations introducing innovative technologies into healthcare settings. These concerns include, among others, regulatory and technological complexities related to medical device and digital therap eutics (DTx) regulation, data security and privacy, and healthcare standard s and interoperability. On the other hand, traditional healthcare IT implem entations have been characterized by low levels of usability and user-frien dliness, leading to low acceptance rates and dissatisfaction among patients and healthcare professionals. Extant implementations have also often focus ed on the provider perspective, leaving the creation of value for patients largely aside (Teisberg et al. 2020). Against this backdrop, we call for st udies that aim to better understand how emerging health technologies are to be embedded into user-friendly and future-oriented patient care journeys. Studies may use existing or new theoretical perspectives and should go beyo nd simplified characterizations of technology acceptance. We see room for s tudies to be located on different levels of investigation such as the indiv idual, the community, or the societal level, and may even consider multiple of those levels simultaneously. Studies may shift the focus away from only considering healthcare organizations and enterprise IT (e.g., Baird et al. 2018), to an emphasis of patient- and value-based perspectives. Arriving a t such analysis may require new approaches to engage with user needs such a s via behavioral nudging (Lehrer et al. 2021), gamification (Schmidt-Kraepe lin et al. 2020), or virtual coaches (Tropea et al. 2021; Makin 2019), whil e ensuring the privacy of the emerging digital health solutions (Sunyaev et al. 2014). It may also require socio-technical processual analyses of the digital transformation of healthcare workflows and practices, for example, considering institutional (Burton-Jones et al. 2020; Faik et al. 2020), pat h-constitutional (Singh et al. 2015; Agarwal et al. 2022), or practice-base d (Reckwitz 2020; Orlikowski and Scott 2015) perspectives.\n\nData Platform s and Ecosystems in Healthcare\n\nRecent advances in wearables, devices, ap ps, and other digital health technologies produce increasingly large amount s of data. This data enables new possibilities for capturing, monitoring, a nd steering the efficiency and quality of care processes and informing rese arch. Digital health platforms such as Ping-an-doctor (Jiang et al. 2021) a nd Amazon / Pillpack (Gleiss et al. 2021), on the private end of the spectr um, and community-/socially-driven approaches like PatientsLikeMe (Tempini 2015), the German Healthy Kinzigtal (Schubert et al. 2021), and APST (Fürst enau et al. 2021) are becoming increasingly widespread and store increasing ly large treasures of valuable behavioral and health data, while using rati ng systems to give all-around feedback on the quality of healthcare process es. Beyond unlocking genuine business opportunities for the involved firms, data generated within these platforms and in the context of the arising da ta ecosystems need to be considered in terms of maximizing patient value. O ne promising way forward is to consider value in healthcare in a multi-face tted way (Barrett et al. 2016), e.g., for patients via patient-centered out comes and procedural and structural effects on them, especially using novel real-world evidence and digital trace data. In these settings, we also nee d to rethink the role of data privacy with patient-generated health data (K aplan et al. 2019). Against the background of the increasing amounts of dat a on many patient histories over long periods of time, and the incentive di fferences between stakeholders that arise, we also need to better understan d health data governance in such emerging health data ecosystems (Witte et al. 2020; Winter and Davison 2019). This needs to consider new technical, o rganizational, and regulatory challenges (Winter and Davison in press) and emerging (infra-) structures such as health data spaces, data repositories, data commons, data natives, data trustees, and data collectives.\n\nSome t opics of interest include:\n\n Emerging technologies in health, e.g., we arables, robotics, nanotech, connected health, genomics Patient-center edness, digital care pathways Patient empowerment and shared decision making User-centered design of health apps, DTx, and care journeys, e. g., via nudging, gamification, behavioral design Value of patient-gene rated health data Health data governance Health data spaces, data repositories, data collectives, data natives, data commons Data platf orms and data ecosystems Data sharing and interoperability Data-d riven insights in healthcare, e.g., to improve care coordination and resear ch Data-driven artificial intelligence Privacy and security of he althcare data \n\nSubmission Guidelines\n\nPlease submit papers by 1 July 2023 at the latest via the journal’s online submission system (http://www. editorialmanager.com/buis/). Please observe the instructions regarding the format and size of contributions to Business & Information Systems Engineer ing (BISE). Papers should adhere to the submission general BISE author guid elines (https://www.bise-journal.com/?page_id=18).\n\nAll papers will be re viewed anonymously (double-blind process) by at least two referees with reg ard to relevance, originality, and research quality. In addition to the edi tors of the journal, including those of this special issue, distinguished i nternational scholars will be involved in the review process.\n\nSchedule\n \n Deadline for submission: 1 July 2023 Notification of the authors , 1st round: 1 September 2023 Completion Revision 1: 1 November 2023 Notification of the authors, 2nd round: 16 December 2023 Completio n Revision 2: 22 January 2024 Online publication: ASAP Anticipate d print publication: Issue 3/2024 \n\nLink zum Call mit allen Quellen: ht tps://link.springer.com/article/10.1007/s12599-022-00763-x DTSTAMP:20220721T205653Z DTSTART:20230630T220500Z DTEND:20230701T215500Z END:VEVENT END:VCALENDAR