Events, Context, and Situations and Reactive Mobile Service Delivery

Mobile Users (MUs) require flexible, reactive service delivery due to their regularly changing location and activities and the lack of a wired Internet connection. A mobile service delivery system should be able to detect relevant events that occur such as change of location, availability of new last-minute specials, sales opportunities and safety issues and then reactively take action in response to these events. This paper describes a framework for delivering such a system. Issues addressed include MU and service states and events, context, situations and situation-action rules, and syntactically and semantically compatible XML schemas for their specification. A framework is proposed that is based on distributed, co-operating software agents and mobile data technologies

Investigating ion recombination effects in a liquid‐filled ionization chamber array used for IMRT QA measurements

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134893/1/mp6822.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134893/2/mp6822_am.pd

Extending and Evaluating a Pattern Language for Safety-Critical User Interfaces

This paper describes the extension and evaluation of an existing pattern language for safety-critical user interface development. The patterns were updated and new patterns were added by examining existing medical systems. The new patterns were found by generating problem definitions from perceived exemplary solutions. This method of pattern development and its application is described. A qualitative evaluation of the pattern language was performed by designing a safety-critical user interface for a hypothetical radiation therapy machine. Discussion of the design process focuses on the usefulness of our patterns as a design tool for safety-critical user interfaces

Navigating the medical physics education and training landscape

PurposeThe education and training landscape has been profoundly reshaped by the ABR 2012/2014 initiative and the MedPhys Match. This work quantifies these changes and summarizes available reports, surveys, and statistics on education and training.MethodsWe evaluate data from CAMPEP‐accredited program websites, annual CAMPEP graduate and residency program reports, and surveys on the MedPhys Match and Professional Doctorate degree (DMP).ResultsFrom 2009–2015, the number of graduates from CAMPEP‐accredited graduate programs rose from 210 to 332, while CAMPEP‐accredited residency positions rose from 60 to 134. We estimate that approximately 60% of graduates of CAMPEP‐accredited graduate programs intend to enter clinical practice, however, only 36% of graduates were successful in acquiring a residency position in 2015. The maximum residency placement percentage for a graduate program is 70%, while the median for all programs is only 22%. Overall residency placement percentage for CAMPEP‐accredited program graduates from 2011–2015 was approximately 38% and 25% for those with a PhD and MS, respectively. The disparity between the number of clinically oriented graduates and available residency positions is perceived as a significant problem by over 70% of MedPhys Match participants responding to a post‐match survey. Approximately 32% of these respondents indicated that prior knowledge of this situation would have changed their decision to pursue graduate education in medical physics.ConclusionThese data reveal a substantial disparity between the number of residency training positions and graduate students interested in these positions, and a substantial variability in residency placement percentage across graduate programs. Comprehensive data regarding current and projected supply and demand within the medical physics workforce are needed for perspective on these numbers. While the long‐term effects of changes in the education and training infrastructure are still unclear, available survey data suggest that these changes could negatively affect potential entrants to the profession.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139957/1/acm212202.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139957/2/acm212202_am.pd

Three discipline collaborative radiation therapy special debate: All head and neck cancer patients with intact tumors/nodes should have scheduled adaptive replanning performed at least once during the course of radiotherapy

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149241/1/acm212587_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149241/2/acm212587.pd

IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119.

AAPM Task Group 119 has produced quantitative confidence limits as baseline expectation values for IMRT commissioning. A set of test cases was developed to assess the overall accuracy of planning and delivery of IMRT treatments. Each test uses contours of targets and avoidance structures drawn within rectangular phantoms. These tests were planned, delivered, measured, and analyzed by nine facilities using a variety of IMRT planning and delivery systems. Each facility had passed the Radiological Physics Center credentialing tests for IMRT. The agreement between the planned and measured doses was determined using ion chamber dosimetry in high and low dose regions, film dosimetry on coronal planes in the phantom with all fields delivered, and planar dosimetry for each field measured perpendicular to the central axis. The planar dose distributions were assessed using gamma criteria of 3%/3 mm. The mean values and standard deviations were used to develop confidence limits for the test results using the concept confidence limit = /mean/ + 1.96sigma. Other facilities can use the test protocol and results as a basis for comparison to this group. Locally derived confidence limits that substantially exceed these baseline values may indicate the need for improved IMRT commissioning