IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v20y2018i6d10.1007_s10796-016-9729-8.html
   My bibliography  Save this article

Middleware for mobile medical data management with minimal latency

Author

Listed:
  • Richard K. Lomotey

    (Pennsylvania State University)

  • Ralph Deters

    (University of Saskatchewan)

Abstract

A promise of mHealth is its capacity to facilitate the consumption of Electronic Health Record (EHR) data using mobile devices, which is central to promoting remote healthcare delivery. Our ongoing project, called SOPHRA, in collaboration with the City Hospital in Saskatoon, Canada, focuses on supporting care providers (e.g., physicians) in the collection/recording of medical data from patients remotely. A major challenge that needs to be addressed is the potential loss of communication between the mobile-clients and the health information system (HIS) during the transfer of the electronic health record (EHR). Overcoming this challenge will foster soft-real time medical data exchanges. However, the issue of communication loss can be as a result of the over-reliance on wireless networks such as Wi-Fi, which can sometimes be unstable. Thus, the goal of this work is to propose a mobile health (mHealth) architectural environment that can exploit the limited available bandwidth during the mobile medical data transfer. A middleware is proposed with the capability of managing different states of the medical data as the physicians updates the EHR. The work details the employment of the Bernoulli model as a means of determining and controlling different updates of the mHealth data for effective propagation.

Suggested Citation

  • Richard K. Lomotey & Ralph Deters, 2018. "Middleware for mobile medical data management with minimal latency," Information Systems Frontiers, Springer, vol. 20(6), pages 1281-1296, December.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-016-9729-8
    DOI: 10.1007/s10796-016-9729-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-016-9729-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-016-9729-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alain Mouttham & Craig Kuziemsky & Dishant Langayan & Liam Peyton & Jose Pereira, 2012. "Interoperable support for collaborative, mobile, and accessible health care," Information Systems Frontiers, Springer, vol. 14(1), pages 73-85, March.
    2. Wenge Rong & Baolin Peng & Yuanxin Ouyang & Kecheng Liu & Zhang Xiong, 2015. "Collaborative personal profiling for web service ranking and recommendation," Information Systems Frontiers, Springer, vol. 17(6), pages 1265-1282, December.
    3. Bang Viet Nguyen & Frada Burstein & Julie Fisher, 2015. "Improving service of online health information provision: A case of usage-driven design for health information portals," Information Systems Frontiers, Springer, vol. 17(3), pages 493-511, June.
    4. Hui Huang & Xueguang Chen & Zhiwu Wang, 2015. "Failure recovery in distributed model composition with intelligent assistance," Information Systems Frontiers, Springer, vol. 17(3), pages 673-689, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2023. "Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists," Technovation, Elsevier, vol. 121(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard K. Lomotey & Ralph Deters, 0. "Middleware for mobile medical data management with minimal latency," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    2. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    3. Paul Schneider, 2018. "Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field," Review of Managerial Science, Springer, vol. 12(3), pages 803-848, July.
    4. Sowmya Kamath S & Ananthanarayana V. S., 0. "Discovering composable web services using functional semantics and service dependencies based on natural language requests," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    5. Chang-Gyu Yang & Hee-Jun Lee, 2016. "A study on the antecedents of healthcare information protection intention," Information Systems Frontiers, Springer, vol. 18(2), pages 253-263, April.
    6. Mingxin Gan & Lily Sun & Rui Jiang, 2019. "GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations," Information Systems Frontiers, Springer, vol. 21(4), pages 925-939, August.
    7. Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 2021. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 23(1), pages 243-262, February.
    8. Sam Solaimani & Harry Bouwman & Timo Itälä, 2015. "Networked enterprise business model alignment: A case study on smart living," Information Systems Frontiers, Springer, vol. 17(4), pages 871-887, August.
    9. Sowmya Kamath S & Ananthanarayana V. S., 2019. "Discovering composable web services using functional semantics and service dependencies based on natural language requests," Information Systems Frontiers, Springer, vol. 21(1), pages 175-189, February.
    10. Rajesh Chandwani & Rahul De’, 2017. "Doctor-patient interaction in telemedicine: Logic of choice and logic of care perspectives," Information Systems Frontiers, Springer, vol. 19(4), pages 955-968, August.
    11. Viorel Mihaila, 2017. "The changing nature of innovation-based social marketing programs - the case of health promotion programs," Manager Journal, Faculty of Business and Administration, University of Bucharest, vol. 25(1), pages 176-184, May.
    12. Raghav Pavan Karumur & Tien T. Nguyen & Joseph A. Konstan, 2018. "Personality, User Preferences and Behavior in Recommender systems," Information Systems Frontiers, Springer, vol. 20(6), pages 1241-1265, December.
    13. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 0. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    14. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. Olivera Marjanovic & Vijaya Murthy, 2016. "From product-centric to customer-centric services in a financial institution – exploring the organizational challenges of the transition process," Information Systems Frontiers, Springer, vol. 18(3), pages 479-497, June.
    16. Jens Weber-Jahnke & Liam Peyton & Thodoros Topaloglou, 2012. "eHealth system interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 1-3, March.
    17. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
    18. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 2018. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 20(5), pages 1075-1095, October.
    19. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 2020. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 22(6), pages 1377-1418, December.
    20. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-016-9729-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.