Towards an XML format for time-stamps

Author(s):  
Karel Wouters ◽  
Bart Preneel ◽  
Ana Isabel González-Tablas ◽  
Arturo Ribagorda
Keyword(s):  
2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S152-S152
Author(s):  
S Fathima ◽  
A R Gardner ◽  
A J Sohn ◽  
R Benavides

Abstract Introduction/Objective In teaching hospitals, patients receive direct care from a succession of different physicians, each of whom may order diagnostic tests on the same patient resulting in multiple physicians unknowingly ordering the same test in the same time period, leading to overutilization. We examined the association of test-ordering by multiple physicians with duplication of two tests, Beta D-Glucan (BDG) and CMV Viral Load by PCR non blood, as aid for detection of fungal and cytomegaloviral infections, respectively Methods Retrospective medical records at Baylor University Medical Center, Dallas were examined in between 10/1/2019- 10/30/2019. A total 167 test orders were identified for CMV Viral Load non blood and BDG presence in blood. Each medical record was assessed for frequency of ordering along with the physicians who ordered them Results A total 167 tests were ordered in which, 120 times BDG was ordered and 52 times CMV was ordered. Singleton orders were noted in 85(50%) instances of BDG & 30(17%) for CMV.Multiple test orders were 44 (25%) for BDG and 8 (4%) for CMV respectively. Both CMV and BDG were ordered together 57 times. The time stamps of multiple test orders in individual patients was assessed for instances of orders that were less than 3 days apart and analysis showed out of the 44 multiple test orders, 34% (15) test orders were ordered less than 3 days apart and 66%(29) tests were ordered more than 3 days apart for BDG. Upon chart review, most of these quickly successive orders were by different physicians. The estimated costs of the duplicate orders are 4334.0$ & 1104.16$ for BDG and CMV respectively. Conclusion CMV and BDG are commonly ordered on many patients. Analysis shows that many times, physicians order testing when the same test has been ordered very recently by a separate physician. Note that for both tests, retesting in less than three days is not normally indicated, however this happens often, especially for BDG. This is most likely due to difficulty in determining within the EHR what tests are drawn and “pending’ but not yet finalized and reported. With usage of prompts/ alerts in EMR that warn of existing “pending’ orders by another caregiver, the frequency of duplicate test ordering for the same patient may be reduced, in turn reducing the costs of healthcare.


2014 ◽  
Vol 20 (2) ◽  
pp. 354-375
Author(s):  
Xiaolong Li ◽  
Jiansi Yang ◽  
Bingxuan Guo ◽  
Hua Liu ◽  
Jun Hua

Currently, for tunnels, the design centerline and design cross-section with time stamps are used for dynamic three-dimensional (3D) modeling. However, this approach cannot correctly reflect some qualities of tunneling or some special cases, such as landslips. Therefore, a dynamic 3D model of a tunnel based on spatiotemporal data from survey cross-sections is proposed in this paper. This model can not only playback the excavation process but also reflect qualities of a project typically missed. In this paper, a new conceptual model for dynamic 3D modeling of tunneling survey data is introduced. Some specific solutions are proposed using key corresponding technologies for coordinate transformation of cross-sections from linear engineering coordinates to global projection coordinates, data structure of files and database, and dynamic 3D modeling. A 3D tunnel TIN model was proposed using the optimized minimum direction angle algorithm. The last section implements the construction of a survey data collection, acquisition, and dynamic simulation system, which verifies the feasibility and practicality of this modeling method.


2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Viv Djanat Prasita ◽  
Lukman Aulia Zati ◽  
Supriyatno Widagdo

The wind and wave conditions in the waters of the Kalianget-Kangean cruise route in the west season are relatively high so that these winds and waves can have a dangerous impact on that cruise route. The aim of this research was to analyze the characteristics of wind speed and wave height over a 10 year period (2008-2017), as well as to evaluate the weekly patterns for three months (December 2017-February 2018). These time stamps represent the west season in waters at Kalianget-Kangean route, and to identify the impact of winds and wave on this path. The method used in this research is descriptive statistical analysis to obtain the mean and maximum values ​​of wind speed and wave height. Wind and wave patterns were analyzed by WRPlot and continued with mapping of wind and wave patterns in the waters of Kalianget-Kangean and its surroundings. The data used was obtained from the Meteorology, Climatology and Geophysics Agency. The results show wind and wave characteristics with two peaks formed regularly between 2008-2017, marking the west and east monsoons. In addition, the wind speed and wave height were generally below the danger threshold, ie <10 knots and <2 m, respectively. However, there are exceptions in the west season, especially at the peak in January, where the forces are strengthened with a steady blowing direction. The maximum wind speed reaches and wave height reaches 29 knots and 6.7 m, respectively. The weekly conditions for both parameters from December 2017 to February 2018 were relatively safe, for sailing. Moreover, January 23-29, 2018 featured extreme conditions estimated as dangerous for cruise due to the respective maximum values of 25 knots and 3.8 m recorded. The channel is comparably safe, except during the western season time in December, January, February, characterized by wind speeds and wave height exceeding 21 knots and 2.5 m, correspondingly.


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