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An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal

Published: 06 June 2020 Publication History

Abstract

In the last decade Hospital Information Systems (HIS) received extensive research attention because international studies [16] [3] show how the introduction of HISs contributes to general errors reduction and could result in substantial improvement in patient safety. This paper introduces FIDMED, a Hospital Information Systems (HIS) based on a deep integration between hardware and software, both of them specifically designed and implemented by Kiranet I.C.T. Research Centre. It comprises a web based clinical application, named FIDCARE, a set of smart medical carts, smart medical cabinets and smart pocket dispenser, respectively named FIDRUN, FIDROK and FIDRAY. From a high-level user perspective, FIDMED aims to: a) reduction of the healthcare services clinical risk, b) cost control and cost reduction and c) improvement in the overall quality assurance of clinical processes. From a technical point of view, FIDCARE is a platform implementing an interesting architecture combining technologies such as Representational State Transfer (REST) services, Radio- Frequency IDentification (RFID), Barcodes Management, Adaptive Graphical User Interface, Gesture Interface and Voice User Interfaces everything under the "hat" of Internet of Things (IoT).

References

[1]
A. N. Shirehjini, A. Yassine, S. Shirmohammadi. (2012). Equipment location in hospitals using RFID-based positioning system. IEEE Transactions on information technology in biomedicine, 16(6), 1058--1069.
[2]
A. X. Garg, et al.(2005) Effects of computerized clinical decision support systems on practitioner performance and patient outcomes a systematic review. JAMA.2005;293(10): pp. 1223--1238. jama. 293.10.1223.
[3]
C.J. McDonald, M. Weiner, S. L. Hui. (2000). Deaths due to medical errors are exaggerated in Institute of Medicine report. Jama, 284(1), 93--95.
[4]
D. Guinard, V. Trifa, E. Wilde. (2010). A resource oriented architecture for the Web of Things. In IoT (pp. 1--8).
[5]
E. Evans. (2004). Domain-driven design: tackling complexity in the heart of software. Addison-Wesley Professional.
[6]
F. Ahmadighohandizi, K. Systä. (2016, September). Application development and deployment for IoT devices. In European Conference on Service-Oriented and Cloud Computing (pp. 74--85). Springer, Cham.
[7]
H. G. C. Ferreira, E. D. Canedo, R. T. de Sousa. (2013). IoT architecture to enable intercommunication through REST API and UPnP using IP, ZigBee and arduino. In 2013 IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 53--60). IEEE.
[8]
http://www.kiranet.com. Access date: June 2019.
[9]
https://docs.oasis-open.org/mqtt/mqtt/v5.0/mqtt-v5.0.html. Access date: June 2019.
[10]
https://mosquitto.org/. Access date: June 2019.
[11]
https://www.fascicolosanitario.gov.it/. Access date: June, 2019
[12]
L. Catarinucci, et al. (2015). An IoT-aware architecture for smart healthcare systems. IEEE Internet of Things Journal, 2(6), 515--526.
[13]
L. L. Leape, et al. (1991). The nature of adverse events in hospitalized patients: results of the Harvard Medical Practice Study II. New England journal of medicine, 324(6), 377--384.
[14]
L. Yu, et al. (2012). Research advances on technology of Internet of things in medical domain. Jisuanji Yingyong Yanjiu, 29(1), 1--7.
[15]
L. Yu, Y. Lu, X. Zhu (2012). Smart hospital based on internet of things. Journal of Networks, 7(10), 1654.
[16]
L.T. Kohn, J. Corrigan, M. S. Donaldson. (2000). To err is human: building a safer health system (Vol. 6). Washington, DC: National academy press.
[17]
P. Fuhrer, D. Guinard. (2006). Building a smart hospital using RFID technologies. ECEH, 91, 131--142.
[18]
S. Amendola, et al. (2014). RFID technology for IoT-based personal healthcare in smart spaces. IEEE Internet of things journal, 1(2), 144--152.
[19]
S. Tarkoma. (2012). Publish/subscribe systems: design and principles. John Wiley & Sons.
[20]
S. Tyagi, A. Agarwal, P. Maheshwari.(2016). A conceptual framework for IoT-based healthcare system using cloud computing. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence) (pp. 503--507). IEEE.
[21]
W. I. Grosky, et al. (2007). Senseweb: An infrastructure for shared sensing. IEEE multimedia, 14(4), 8--13.
[22]
Y. J. Fan, et al. (2014). IoT-based smart rehabilitation system. IEEE transactions on industrial informatics, 10(2), 1568--1577.

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  1. An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal

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      cover image ACM Other conferences
      ISCSIC 2019: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control
      September 2019
      397 pages
      ISBN:9781450376617
      DOI:10.1145/3386164
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 06 June 2020

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      Author Tags

      1. Healthcare Cost Control
      2. Healthcare Risk Management
      3. Hospital Information System (HIS)
      4. IoT
      5. MQTT
      6. Medical Cabinet Medical Pocket Dispenser
      7. Medical Cart
      8. REST

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