Team for Research in
Ubiquitous Secure Technology

Towards Understanding the Usage Pattern of Web-based Electronic Medical Record System
Xiaowei Li

Citation
Xiaowei Li. "Towards Understanding the Usage Pattern of Web-based Electronic Medical Record System". Talk or presentation, 11, November, 2010.

Abstract
The benefits and importance of Electronic Medical Record (EMR) system have been well recognized in the healthcare industry. Yet, its wide adoption still faces significant barriers that require technical innovations in building highly-available medical information systems that provide continuous on-demand secure medical information access while preserving patients' privacy. Understanding the usage pattern of the EMR system is the first essential step towards building such a system. This paper conducts an in-depth trace analysis of a large scale EMR system that runs for more than a decade at Vanderbilt Medical Center. Our study examines three aspects of this EMR system: 1) overall system usage pattern, 2) user behavior, which focuses on the difference across users and the behavior consistency and migration over time, and 3) patient record access pattern, which emphasizes the relationship between users and their accessed records. Our study has demonstrated several important characteristics of EMR system usage. First, the workload of the EMR system is highly stable and consistent with a weekly pattern. Second, EMR users behave quite differently. For an individual user, though his/her behavior exhibits high-degree of fluctuation across consecutive sessions, when aggregated over certain time frame, the aggregated behavior is highly consistent with a very slow rate of migration. Finally, the pairing between users and records is extremely sparse, echoing the stable patient-caregiver structure in the healthcare practice. These observations can be used to develop system security measures, such as EMR-specific anomaly detection systems, and facilitate system performance optimization.

Electronic downloads

Citation formats  
  • HTML
    Xiaowei Li. <a
    href="http://www.truststc.org/pubs/770.html"
    ><i>Towards Understanding the Usage Pattern of
    Web-based Electronic Medical Record
    System</i></a>, Talk or presentation,  11,
    November, 2010.
  • Plain text
    Xiaowei Li. "Towards Understanding the Usage Pattern of
    Web-based Electronic Medical Record System". Talk or
    presentation,  11, November, 2010.
  • BibTeX
    @presentation{Li10_TowardsUnderstandingUsagePatternOfWebbasedElectronic,
        author = {Xiaowei Li},
        title = {Towards Understanding the Usage Pattern of
                  Web-based Electronic Medical Record System},
        day = {11},
        month = {November},
        year = {2010},
        abstract = {The benefits and importance of Electronic Medical
                  Record (EMR) system have been well recognized in
                  the healthcare industry. Yet, its wide adoption
                  still faces significant barriers that require
                  technical innovations in building highly-available
                  medical information systems that provide
                  continuous on-demand secure medical information
                  access while preserving patients' privacy.
                  Understanding the usage pattern of the EMR system
                  is the first essential step towards building such
                  a system. This paper conducts an in-depth trace
                  analysis of a large scale EMR system that runs for
                  more than a decade at Vanderbilt Medical Center.
                  Our study examines three aspects of this EMR
                  system: 1) overall system usage pattern, 2) user
                  behavior, which focuses on the difference across
                  users and the behavior consistency and migration
                  over time, and 3) patient record access pattern,
                  which emphasizes the relationship between users
                  and their accessed records. Our study has
                  demonstrated several important characteristics of
                  EMR system usage. First, the workload of the EMR
                  system is highly stable and consistent with a
                  weekly pattern. Second, EMR users behave quite
                  differently. For an individual user, though
                  his/her behavior exhibits high-degree of
                  fluctuation across consecutive sessions, when
                  aggregated over certain time frame, the aggregated
                  behavior is highly consistent with a very slow
                  rate of migration. Finally, the pairing between
                  users and records is extremely sparse, echoing the
                  stable patient-caregiver structure in the
                  healthcare practice. These observations can be
                  used to develop system security measures, such as
                  EMR-specific anomaly detection systems, and
                  facilitate system performance optimization.},
        URL = {http://www.truststc.org/pubs/770.html}
    }
    

Posted by Larry Rohrbough on 7 Dec 2010.
Groups: trust
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