Team for Research in
Ubiquitous Secure Technology

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

• 16%20-%20Li%20%28Vanderbilt%29.pptx · application/vnd.openxmlformats-officedocument.presentationml.pre · 651 kbytes

• 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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