Data Collection Unit

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Jane Halliday - One of the best experts on this subject based on the ideXlab platform.

  • preterm birth ovarian endometriomata and assisted reproduction technologies
    Fertility and Sterility, 2009
    Co-Authors: Shavi Fernando, Jane Halliday, Sue Breheny, Alice M Jaques, Gordon Baker, D L Healy
    Abstract:

    Objective To report preterm birth and small for gestational age (SGA) rates from assisted reproduction technologies (ART) patients with ovarian endometriomata compared with control groups. Design Retrospective cohort study. Setting Tertiary university affiliated ART center and Perinatal Data Collection Unit (PDCU). Patient(s) Every woman who had an ART singleton baby born between 1991 and 2004 had her Database record assessed (N = 4382). Control groups included 1201 singleton babies from ART patients without endometriosis and 2400 randomly selected women from the PDCU Database of 850,000 births. Intervention(s) There were 95 singleton ART babies from patients with ovarian endometriomata and 535 ART singleton babies from patients who had endometriosis but no ovarian endometriomata. Main Outcome Measure(s) Preterm birth rates and SGA birth rates. Result(s) Preterm birth rate increased only in the ovarian endometriomata group when compared with commUnity birth records (n = 850,000). Furthermore, ART patients with ovarian endometriomata had a statistically significantly increased likelihood of having a SGA baby when compared with other forms of endometriosis. Conclusion(s) Rates of preterm birth and SGA babies doubled in infertility patients with ovarian endometriomata who required ART.

  • Validating notifications of pregnancy terminations for birth defects before 20 weeks gestation.
    Health information management : journal of the Health Information Management Association of Australia, 2002
    Co-Authors: Merilyn Riley, Sonia Palma, Jenny Howard, Kristen Dale, Jane Halliday
    Abstract:

    The Victorian Perinatal Data Collection Unit (PDCU) maintains a Birth Defects Register (BDR), including Data on terminations of pregnancy for birth defects before 20 weeks. This study aimed to validate the completeness of reporting, and accuracy of diagnoses provided by hospitals on these terminations. From 1995-1999, 13 hospitals notified 321 terminations to the PDCU. An additional 41 cases were found through this study. For matched cases ( n=273), 199 (73%) had comparable diagnoses, 21 (8%) had different and 53 (19%) had additional diagnoses. Discrepancies arose because of problems with correct identification of relevant cases and lack of understanding of the importance of including all information on multiple birth defects.

  • Validation of the Victorian Perinatal Morbidity Statistics Form: New Items, Pre-Coded Text and Free Text:
    Health information management : journal of the Health Information Management Association of Australia, 2000
    Co-Authors: Lucianne Vagg, Merilyn Riley, Odette Taylor, Sonia Palma, Jane Halliday
    Abstract:

    This study assessed the quality of information on the form used by the Victorian Perinatal Data Collection Unit. Information relating to four new and one modified Data items, and to pre-coded and free text regions relating to maternal morbidity, was compared with that in the medical record. The new Data items were documented correctly on 95.5% of forms, as were 67% of pre-coded conditions. Between 53% and 75% of free text items were correctly recorded. The results highlight the need for information and education sessions for midwives and other staff in order to collect and maintain high quality Data.

  • The accuracy of eclampsia cases reported to the Victorian Inpatient Minimum Database and the Perinatal Data Collection Unit.
    Health information management : journal of the Health Information Management Association of Australia, 1998
    Co-Authors: Merilyn Riley, Jane Halliday
    Abstract:

    The aim of this study was to compare the quality of the reporting and coding of eclampsia in two routine Data Collections: the Victorian Inpatient Minimum Database (VIMD) and the Perinatal Data Collection Unit (PDCU). The validity of cases in the two Data sets was confirmed by reference to the original medical record Data. Only 12 cases were the same in both Data sets (i.e., 35.3% agreement). There were an additional 51 cases that were reported to either one or the other of the Data sets and, of these, only 15 (i.e., 29%) were confirmed as eclampsia. The overall number of cases confirmed for both systems in 1995 was 27, or 0.4 per 1000 confinements. Reasons for these discrepancies were investigated and three basic problems identified: quality of documentation in the medical record, coding errors, and use of Data from computer-generated forms. Neither the VIMD nor the PDCU was regarded as having sufficiently accurate Data for adequate reporting of maternal morbidity. By combining the information from both Databases a better estimate of incidence can be obtained, but improved reporting and coding is essential for accurate assessment of this condition.

Michael G. Mcnally - One of the best experts on this subject based on the ideXlab platform.

  • TRACER: In-Vehicle, GPS-Based Wireless Technology for Traffic Surveillance and Management. - eScholarship
    2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregrate parameters or micro-simluations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implemented in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU)has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a continuation of PATH MOU 3006; selected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort

  • tracer in vehicle gps based wireless technology for traffic surveillance and management
    PATH research report, 2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU) has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a contination in PATH MOU 3006; se;lected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort.

  • GPS/GIS TECHNOLOGIES FOR TRAFFIC SURVEILLANCE AND MANAGEMENT : A TESTBED IMPLEMENTATION STUDY
    2002
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global positioning systems (GPS) are one of several available technologies that allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. A flexible GPS-based Data Collection Unit has been designed which incorporates GPS, Data logging capabilities, two-way wireless communications and a user interface in an embedded system that eliminates (or minimizes) driver interaction. This paper describes the design and initial implementation tests of this Unit.

  • A GPS ENHANCED IN-VEHICLE EXTENSIBLE Data Collection Unit
    2001
    Co-Authors: James E. Marca, Craig R. Rindt, Michael G. Mcnally, Sean T. Doherty
    Abstract:

    The rapid advancement of technology has created the opportUnity for applying new, powerful tools to transportation engineering problems but often the very speed of technological change hinders the adoption of these tools in a research environment. This paper documents the development of an extensible Data Collection Unit (EDCU). The Unit combines a standard GPS Unit, a cellular Data modem, and an embedded processor running the Linux operating system. The EDCU satisfies multiple functional requirements, due to the flexibility of its modular components and its full-powered operating system. The EDCU will serve the in-vehicle Data Collection needs of travel demand modelers and ITS researchers for the foreseeable future

  • A GPS Enhanced In-Vehicle Extensible Data Collection Unit
    2000
    Co-Authors: James E. Marca, Craig R. Rindt, Michael G. Mcnally, Sean T. Doherty
    Abstract:

    The rapid advancement of technology has created the opportUnity for applying new, powerful tools to transportation engineering problems, but often the very speed of technological change hinders the adoption of these tools in a research environment. This paper documents the development of an extensible Data Collection Unit (EDCU). The Unit combines a standard GPS Unit, a cellular Data modem, and an embedded processor running the Linux operating system. Some preliminary uses and applications of the EDCU are presented as well. The EDCU satisfies multiple functional requirements, due to the flexibility of its modular components and its full-powered operating system. The EDCU will serve the in-vehicle Data Collection needs of travel demand modelers and ITS researchers for the forseeable future.

James E. Marca - One of the best experts on this subject based on the ideXlab platform.

  • TRACER: In-Vehicle, GPS-Based Wireless Technology for Traffic Surveillance and Management. - eScholarship
    2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregrate parameters or micro-simluations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implemented in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU)has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a continuation of PATH MOU 3006; selected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort

  • tracer in vehicle gps based wireless technology for traffic surveillance and management
    PATH research report, 2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU) has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a contination in PATH MOU 3006; se;lected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort.

  • GPS/GIS TECHNOLOGIES FOR TRAFFIC SURVEILLANCE AND MANAGEMENT : A TESTBED IMPLEMENTATION STUDY
    2002
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global positioning systems (GPS) are one of several available technologies that allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. A flexible GPS-based Data Collection Unit has been designed which incorporates GPS, Data logging capabilities, two-way wireless communications and a user interface in an embedded system that eliminates (or minimizes) driver interaction. This paper describes the design and initial implementation tests of this Unit.

  • A GPS ENHANCED IN-VEHICLE EXTENSIBLE Data Collection Unit
    2001
    Co-Authors: James E. Marca, Craig R. Rindt, Michael G. Mcnally, Sean T. Doherty
    Abstract:

    The rapid advancement of technology has created the opportUnity for applying new, powerful tools to transportation engineering problems but often the very speed of technological change hinders the adoption of these tools in a research environment. This paper documents the development of an extensible Data Collection Unit (EDCU). The Unit combines a standard GPS Unit, a cellular Data modem, and an embedded processor running the Linux operating system. The EDCU satisfies multiple functional requirements, due to the flexibility of its modular components and its full-powered operating system. The EDCU will serve the in-vehicle Data Collection needs of travel demand modelers and ITS researchers for the foreseeable future

  • A GPS Enhanced In-Vehicle Extensible Data Collection Unit
    2000
    Co-Authors: James E. Marca, Craig R. Rindt, Michael G. Mcnally, Sean T. Doherty
    Abstract:

    The rapid advancement of technology has created the opportUnity for applying new, powerful tools to transportation engineering problems, but often the very speed of technological change hinders the adoption of these tools in a research environment. This paper documents the development of an extensible Data Collection Unit (EDCU). The Unit combines a standard GPS Unit, a cellular Data modem, and an embedded processor running the Linux operating system. Some preliminary uses and applications of the EDCU are presented as well. The EDCU satisfies multiple functional requirements, due to the flexibility of its modular components and its full-powered operating system. The EDCU will serve the in-vehicle Data Collection needs of travel demand modelers and ITS researchers for the forseeable future.

Angela M. Koos - One of the best experts on this subject based on the ideXlab platform.

  • tracer in vehicle gps based wireless technology for traffic surveillance and management
    PATH research report, 2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU) has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a contination in PATH MOU 3006; se;lected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort.

  • TRACER: In-Vehicle, GPS-Based Wireless Technology for Traffic Surveillance and Management. - eScholarship
    2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregrate parameters or micro-simluations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implemented in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU)has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a continuation of PATH MOU 3006; selected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort

  • GPS/GIS TECHNOLOGIES FOR TRAFFIC SURVEILLANCE AND MANAGEMENT : A TESTBED IMPLEMENTATION STUDY
    2002
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global positioning systems (GPS) are one of several available technologies that allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. A flexible GPS-based Data Collection Unit has been designed which incorporates GPS, Data logging capabilities, two-way wireless communications and a user interface in an embedded system that eliminates (or minimizes) driver interaction. This paper describes the design and initial implementation tests of this Unit.

Craig R. Rindt - One of the best experts on this subject based on the ideXlab platform.

  • TRACER: In-Vehicle, GPS-Based Wireless Technology for Traffic Surveillance and Management. - eScholarship
    2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregrate parameters or micro-simluations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implemented in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU)has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a continuation of PATH MOU 3006; selected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort

  • tracer in vehicle gps based wireless technology for traffic surveillance and management
    PATH research report, 2003
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management, and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global Positioning Systems (GPS) are one of several available technologies which allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS which are relevant to the ATMS Testbed are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. An Extensible GPS-based in-vehicle Data Collection Unit (EDCU) has been designed, tested, and applied in selected field tests. Each Unit incorporates GPS, Data logging capabilities, two-way wireless communications, and a user interface in an extensible system which eliminates driver interaction. Together with supporting software, this system is referred to as TRACER. The design and initial implementation tests Testbed are presented herein. This research is a contination in PATH MOU 3006; se;lected portions of the interim report for that MOU are repeated here to provide a complete overview of the research effort.

  • GPS/GIS TECHNOLOGIES FOR TRAFFIC SURVEILLANCE AND MANAGEMENT : A TESTBED IMPLEMENTATION STUDY
    2002
    Co-Authors: Michael G. Mcnally, James E. Marca, Craig R. Rindt, Angela M. Koos
    Abstract:

    The fundamental principle of intelligent transportation systems is to match the complexity of travel demands with advanced supply-side analysis, evaluation, management and control strategies. A fundamental limitation is the lack of basic knowledge of travel demands at the network level. Modeling and sensor technology is primarily limited to aggregate parameters or micro-simulations based on aggregate distributions of behavior. Global positioning systems (GPS) are one of several available technologies that allow individual vehicle trajectories to be recorded and analyzed. Potential applications of GPS are implementation in probe vehicles to deliver real-time performance Data to complement loop and other sensor Data and implementation in vehicles from sampled households to record route choice behavior. A flexible GPS-based Data Collection Unit has been designed which incorporates GPS, Data logging capabilities, two-way wireless communications and a user interface in an embedded system that eliminates (or minimizes) driver interaction. This paper describes the design and initial implementation tests of this Unit.

  • A GPS ENHANCED IN-VEHICLE EXTENSIBLE Data Collection Unit
    2001
    Co-Authors: James E. Marca, Craig R. Rindt, Michael G. Mcnally, Sean T. Doherty
    Abstract:

    The rapid advancement of technology has created the opportUnity for applying new, powerful tools to transportation engineering problems but often the very speed of technological change hinders the adoption of these tools in a research environment. This paper documents the development of an extensible Data Collection Unit (EDCU). The Unit combines a standard GPS Unit, a cellular Data modem, and an embedded processor running the Linux operating system. The EDCU satisfies multiple functional requirements, due to the flexibility of its modular components and its full-powered operating system. The EDCU will serve the in-vehicle Data Collection needs of travel demand modelers and ITS researchers for the foreseeable future

  • A GPS Enhanced In-Vehicle Extensible Data Collection Unit
    2000
    Co-Authors: James E. Marca, Craig R. Rindt, Michael G. Mcnally, Sean T. Doherty
    Abstract:

    The rapid advancement of technology has created the opportUnity for applying new, powerful tools to transportation engineering problems, but often the very speed of technological change hinders the adoption of these tools in a research environment. This paper documents the development of an extensible Data Collection Unit (EDCU). The Unit combines a standard GPS Unit, a cellular Data modem, and an embedded processor running the Linux operating system. Some preliminary uses and applications of the EDCU are presented as well. The EDCU satisfies multiple functional requirements, due to the flexibility of its modular components and its full-powered operating system. The EDCU will serve the in-vehicle Data Collection needs of travel demand modelers and ITS researchers for the forseeable future.

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