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Samuel Fosso Wamba - One of the best experts on this subject based on the ideXlab platform.

  • Business value from RFID-enabled healthcare transformation projects
    Business Process Management Journal, 2012
    Co-Authors: Anand Abijith, Samuel Fosso Wamba
    Abstract:

    Purpose - This paper aims to assess the business value realised from radio frequency identification (RFID)-enabled healthcare transformation projects as compared with other industries. The paper starts with a review of RFID technology in the healthcare industry and further extends to an in-depth analysis of mini-case studies collected from RFID Journal, a leading professional journal dedicated to RFID technology, in order to identify the major benefits of the implementation of RFID systems as well as its business value achieved. In addition, there is further analysis that is being carried out on other industries to have an overview of the benefits of RFID implementation. Design/methodology/approach - Key findings on RFID systems are being obtained from a thorough review of case studies collected from the RFID Journal's database - which for this purpose, provided 20 cases from the healthcare industry and 49 cases from other industries-, so as to assess the business value of RFID-enabled healthcare transformation projects. Findings - Implementation of RFID systems in healthcare resulted in enhanced automational, informational and transformational effects that helped to eliminate paper-based processes, manual processes and low visibility of patients, staff, equipments and data, etc. Such a transformation definitely gave rise to high financial performances, patient satisfaction and better decision quality on their treatments, which in turn provided a high control, co-ordination and planning of the healthcare organisation. Further, the results showcase the business value of RFID technology and the benefits gained within the healthcare sector, in comparison with other industries. Overall, our case analysis has indicated that implementation of RFID clearly produced evident effects at the process level of an organisation, thus leading to substantial gains at the organisational level. Research limitations/implications - The paper expands the current body of knowledge in assessing the business value of RFID-enabled organisational transformation in the healthcare sector and marshal's sufficient data on the overall benefits achieved by RFID implementation both in healthcare and in other industries. The results from this study may serve as a checklist for managers in the healthcare sectors who are looking towards implementing/exploring RFID technology. Additionally, this paper identifies potential areas for future research on RFID-enabled healthcare transformation projects. Originality/value - This paper delivers a review of case studies on RFID-enabled transformation projects and process innovations, mainly in the healthcare industry, albeit it extends to other industries. For this reason, a review on RFID technology is being discussed while 69 cases are being scrutinised. The results from this paper therefore provide significant evidence of RFID-enabled healthcare and organisational business value.

Fusheng Wang - One of the best experts on this subject based on the ideXlab platform.

  • temporal and location based RFID event data management and processing
    2011
    Co-Authors: Fusheng Wang
    Abstract:

    Advance of sensor and RFID technology provides significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and monitoring physical objects. Despite these benefits, RFID poses many challenges for data processing and management. RFID data are temporal and history oriented, multi-dimensional, and carrying implicit semantics. Moreover, RFID applications are heterogeneous. RFID data management or data warehouse systems need to support generic and expressive data modeling for tracking and monitoring physical objects, and provide automated data interpretation and processing. We develop a powerful temporal and location oriented data model for modeling and querying RFID data , and a declarative event and rule based framework for automated complex RFID event processing. The approach is general and can be easily adapted for different RFID-enabled applications, thus significantly reduces the cost of RFID data integration.

  • Complex RFID event processing
    VLDB Journal, 2009
    Co-Authors: Fusheng Wang, Shaorong Liu, Peiya Liu
    Abstract:

    Advances of sensor and radio frequency identification (RFID) technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and monitoring physical objects. Despite these benefits, RFID poses many challenges for data processing and management: (i) RFID observations have implicit meanings, which have to be transformed and aggregated into semantic data represented in their data models; and (ii) RFID data are temporal, streaming, and in high volume, and have to be processed on the fly. Thus, a general RFID data processing framework is needed to automate the transformation of physical RFID observations into the virtual counterparts in the virtual world linked to business applications. In this paper, we take an event-oriented approach to process RFID data, by devising RFID application logic into complex events. We then formalize the specification and semantics of RFID events and rules. We discover that RFID events are highly temporal constrained, and include non-spontaneous events, and develop an RFID event detection engine that can effectively process complex RFID events. The declarative event-based approach greatly simplifies the work of RFID data processing, and can significantly reduce the cost of RFID data integration.

  • Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams
    2006
    Co-Authors: Fusheng Wang, Peiya Liu, Shaorong Liu, Yijian Bai
    Abstract:

    Advances of sensor and RFID technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and moni- toring physical objects. Despite these benefits, RFID poses many challenges for data processing and management: i) RFID observations contain duplicates, which have to be filtered; ii) RFID observations have implicit meanings, which have to be transformed and aggregated into semantic data represented in their data mod- els; and iii) RFID data are temporal, streaming, and in high volume, and have to be processed on the fly. Thus, a general RFID data processing framework is needed to automate the transformation of physical RFID observations into the virtual counterparts in the virtualworld linked to business applications. In this pa- per, we take an event-oriented approach to process RFID data, by devising RFID application logic into complex events. We then formalize the specification and semantics of RFID events and rules.We demonstrate that traditional ECA event engine cannot be used to support highly temporally constrained RFID events, and develop an RFID event detection engine that can effectively process com- plex RFID events. The declarative event-based approach greatly simplifies the work of RFID data processing, and significantly reduces the cost of RFID data integration.

  • Temporal management of RFID data
    … of the 31st international conference on Very large data …, 2005
    Co-Authors: Fusheng Wang, Peiya Liu
    Abstract:

    RFID technology can be used to significantly improve the efficiency\nof business processes by providing the capability of automatic identification\nand data capture. This technology poses many new challenges on current\ndata management systems. RFID data are time-dependent, dynamically\nchanging, in large volumes, and carry implicit semantics. RFID data\nmanagement systems need to effectively support such large scale temporal\ndata created by RFID applications. These systems need to have an\nexplicit temporal data model for RFID data to support tracking and\nmonitoring queries. In addition, they need to have an automatic method\nto transform the primitive observations from RFID readers into derived\ndata used in RFID-enabled applications. In this paper, we present\nan integrated RFID data management system -- Siemens RFID Middleware\n-- based on an expressive temporal data model for RFID data. Our\nsystem enables semantic RFID data filtering and automatic data transformation\nbased on declarative rules, provides powerful query support of RFID\nobject tracking and monitoring, and can be adapted to different RFID-enabled\napplications.

Peiya Liu - One of the best experts on this subject based on the ideXlab platform.

  • Complex RFID event processing
    VLDB Journal, 2009
    Co-Authors: Fusheng Wang, Shaorong Liu, Peiya Liu
    Abstract:

    Advances of sensor and radio frequency identification (RFID) technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and monitoring physical objects. Despite these benefits, RFID poses many challenges for data processing and management: (i) RFID observations have implicit meanings, which have to be transformed and aggregated into semantic data represented in their data models; and (ii) RFID data are temporal, streaming, and in high volume, and have to be processed on the fly. Thus, a general RFID data processing framework is needed to automate the transformation of physical RFID observations into the virtual counterparts in the virtual world linked to business applications. In this paper, we take an event-oriented approach to process RFID data, by devising RFID application logic into complex events. We then formalize the specification and semantics of RFID events and rules. We discover that RFID events are highly temporal constrained, and include non-spontaneous events, and develop an RFID event detection engine that can effectively process complex RFID events. The declarative event-based approach greatly simplifies the work of RFID data processing, and can significantly reduce the cost of RFID data integration.

  • Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams
    2006
    Co-Authors: Fusheng Wang, Peiya Liu, Shaorong Liu, Yijian Bai
    Abstract:

    Advances of sensor and RFID technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and moni- toring physical objects. Despite these benefits, RFID poses many challenges for data processing and management: i) RFID observations contain duplicates, which have to be filtered; ii) RFID observations have implicit meanings, which have to be transformed and aggregated into semantic data represented in their data mod- els; and iii) RFID data are temporal, streaming, and in high volume, and have to be processed on the fly. Thus, a general RFID data processing framework is needed to automate the transformation of physical RFID observations into the virtual counterparts in the virtualworld linked to business applications. In this pa- per, we take an event-oriented approach to process RFID data, by devising RFID application logic into complex events. We then formalize the specification and semantics of RFID events and rules.We demonstrate that traditional ECA event engine cannot be used to support highly temporally constrained RFID events, and develop an RFID event detection engine that can effectively process com- plex RFID events. The declarative event-based approach greatly simplifies the work of RFID data processing, and significantly reduces the cost of RFID data integration.

  • Temporal management of RFID data
    … of the 31st international conference on Very large data …, 2005
    Co-Authors: Fusheng Wang, Peiya Liu
    Abstract:

    RFID technology can be used to significantly improve the efficiency\nof business processes by providing the capability of automatic identification\nand data capture. This technology poses many new challenges on current\ndata management systems. RFID data are time-dependent, dynamically\nchanging, in large volumes, and carry implicit semantics. RFID data\nmanagement systems need to effectively support such large scale temporal\ndata created by RFID applications. These systems need to have an\nexplicit temporal data model for RFID data to support tracking and\nmonitoring queries. In addition, they need to have an automatic method\nto transform the primitive observations from RFID readers into derived\ndata used in RFID-enabled applications. In this paper, we present\nan integrated RFID data management system -- Siemens RFID Middleware\n-- based on an expressive temporal data model for RFID data. Our\nsystem enables semantic RFID data filtering and automatic data transformation\nbased on declarative rules, provides powerful query support of RFID\nobject tracking and monitoring, and can be adapted to different RFID-enabled\napplications.

Rauf Izmailov - One of the best experts on this subject based on the ideXlab platform.

  • rfind an RFID based system to manage virtual spaces
    IEEE International Conference on Pervasive Computing and Communications, 2007
    Co-Authors: Akhilesh Saxena, Sudeept Bhatnagar, S. Ganguly, Rauf Izmailov
    Abstract:

    We present RFInD, a cost-effective utilitarian system for locating objects using RFID technology. RFInD separates the notion of location from that of physical co-ordinates by using the abstraction of a virtual space. A virtual space is created by using RFID tags to label entities and locations in the physical space as references. RFInD manages the virtual space by using the references to create a spatial map, over which objects can be tracked and located. The target objects are labeled and embedded in a virtual space by associating them with proximate reference tags. RFInD creates the technology to automatically and efficiently manage these associations. In this work, we first characterize the capabilities of a commercially available RFID reader. We show how to use these capabilities for two tasks, namely proximity detection and tag association. RFInD uses these capabilities as primitives to create virtual spaces, embed objects in the virtual space, and navigate the space to track the embedded objects. Further, our experiments establish the effectiveness of our approach in managing virtual spaces

  • PerCom Workshops - RFInD: An RFID-Based System to Manage Virtual Spaces
    Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07), 2007
    Co-Authors: Akhilesh Saxena, Sudeept Bhatnagar, S. Ganguly, Rauf Izmailov
    Abstract:

    We present RFInD, a cost-effective utilitarian system for locating objects using RFID technology. RFInD separates the notion of location from that of physical co-ordinates by using the abstraction of a virtual space. A virtual space is created by using RFID tags to label entities and locations in the physical space as references. RFInD manages the virtual space by using the references to create a spatial map, over which objects can be tracked and located. The target objects are labeled and embedded in a virtual space by associating them with proximate reference tags. RFInD creates the technology to automatically and efficiently manage these associations. In this work, we first characterize the capabilities of a commercially available RFID reader. We show how to use these capabilities for two tasks, namely proximity detection and tag association. RFInD uses these capabilities as primitives to create virtual spaces, embed objects in the virtual space, and navigate the space to track the embedded objects. Further, our experiments establish the effectiveness of our approach in managing virtual spaces

Anand Abijith - One of the best experts on this subject based on the ideXlab platform.

  • Business value from RFID-enabled healthcare transformation projects
    Business Process Management Journal, 2012
    Co-Authors: Anand Abijith, Samuel Fosso Wamba
    Abstract:

    Purpose - This paper aims to assess the business value realised from radio frequency identification (RFID)-enabled healthcare transformation projects as compared with other industries. The paper starts with a review of RFID technology in the healthcare industry and further extends to an in-depth analysis of mini-case studies collected from RFID Journal, a leading professional journal dedicated to RFID technology, in order to identify the major benefits of the implementation of RFID systems as well as its business value achieved. In addition, there is further analysis that is being carried out on other industries to have an overview of the benefits of RFID implementation. Design/methodology/approach - Key findings on RFID systems are being obtained from a thorough review of case studies collected from the RFID Journal's database - which for this purpose, provided 20 cases from the healthcare industry and 49 cases from other industries-, so as to assess the business value of RFID-enabled healthcare transformation projects. Findings - Implementation of RFID systems in healthcare resulted in enhanced automational, informational and transformational effects that helped to eliminate paper-based processes, manual processes and low visibility of patients, staff, equipments and data, etc. Such a transformation definitely gave rise to high financial performances, patient satisfaction and better decision quality on their treatments, which in turn provided a high control, co-ordination and planning of the healthcare organisation. Further, the results showcase the business value of RFID technology and the benefits gained within the healthcare sector, in comparison with other industries. Overall, our case analysis has indicated that implementation of RFID clearly produced evident effects at the process level of an organisation, thus leading to substantial gains at the organisational level. Research limitations/implications - The paper expands the current body of knowledge in assessing the business value of RFID-enabled organisational transformation in the healthcare sector and marshal's sufficient data on the overall benefits achieved by RFID implementation both in healthcare and in other industries. The results from this study may serve as a checklist for managers in the healthcare sectors who are looking towards implementing/exploring RFID technology. Additionally, this paper identifies potential areas for future research on RFID-enabled healthcare transformation projects. Originality/value - This paper delivers a review of case studies on RFID-enabled transformation projects and process innovations, mainly in the healthcare industry, albeit it extends to other industries. For this reason, a review on RFID technology is being discussed while 69 cases are being scrutinised. The results from this paper therefore provide significant evidence of RFID-enabled healthcare and organisational business value.

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