SEATROBS: Requirements and Design For Sealife Travel & Tour Online Booking System Using Usability Theory by Mazita, Mokhtar, Nor Hasnul Azirah, Abdul Hamid, Nurul Athirah, Ahmad Nazri

“…The details of the result are being discussed in this paper and expected to meet the specification of the users and ready to go live.…”
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Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data by B. Altena, T. Scambos, T. Scambos, M. Fahnestock, A. Kääb

“…In this study we build upon existing glacier velocity products from the GoLIVE dataset (<span class="uri">https://nsidc.org/data/golive</span>, last access: 26 February 2019) and compile a multi-temporal stack of velocity data over the Saint Elias Mountains and vicinity. …”
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Practical Considerations for Implementation of SARS-CoV-2 Serological Testing in the Clinical Laboratory: Experience at an Academic Medical Center by Robert M. Humble MD, Anna E. Merrill PhD, Bradley A. Ford MD, PhD, Daniel J. Diekema MD, Matthew D. Krasowski MD, PhD

“…In analyzing test utilization, serologic testing in the first month after go-live was almost entirely outpatient and appeared to be strongly driven by patient interest (including health care workers and others in high-risk occupations for exposure to SARS-CoV-2), with little evidence that the results impacted clinical decision-making. …”
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A Surging Glacier Recognized by Remote Sensing on the Zangser Kangri Ice Field, Central Tibetan Plateau by Bowen Jia, Shugui Hou, Yetang Wang

“…Here, we found a surging glacier (GLIMS ID: G085885E34389N) on the Zangser Kangri ice field (ZK), Central TP, by means of the digital elevation models (DEMs) from the Shuttle Radar Topography Mission (SRTM), TanDEM-X 90 m, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) DEMs, and High Mountain Asia 8-m DEM (HMA), combined with Landsat images and the Global Land Ice Velocity Extraction from Landsat 8 (GoLIVE) dataset. This surge event was confirmed by the crevasses, shear margin, and visible advancing snout shown in the Landsat images produced since 2014 and the HMA. …”
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Evaluasi Implementasi Enterprise Re-source Planning (Erp) System di PT Telekomunikasi Indonesia, Tbk.= Evaluation of Enterprise Resource Planning (ERP) System Implementation at PT... by Perpustakaan UGM, i-lib

“…The result concludes that the system development used by PT TELKOM, modified SDLC method is able to accelerate the implementation of a project in a halfway, and the system can go live on time. This modified SDLC method, which in developing SAP R/3 system, uses Magian method introduced by implementer consultant. …”

Implementation of computerized physician order entry in National Guard hospitals: Assessment of critical success factors by Majid M Altuwaijri, Abdullah Bahanshal, Mona Almehaid

“…The top three CSFs rated by the survey respondents were: The "before go-live" training, the adequate clinical resources during implementation, and the ordering time. …”
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The feasibility and implementation of a golden beam model in Monaco treatment planning system by ZHONG Yang, YANG Yanju, ZHAO Jun, HU Weigang

“…Background and purpose: Accelerated go live (AGL) is the entire management process for medical accelerators from installation, commissioning, modeling to radiotherapy implementation. …”
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Practical considerations in genomic decision support: The eMERGE experience by Timothy M Herr, Suzette J Bielinski, Erwin Bottinger, Ariel Brautbar, Murray Brilliant, Christopher G Chute, Beth L Cobb, Joshua C Denny, Hakon Hakonarson, Andrea L Hartzler, George Hripcsak, Joseph Kannry, Isaac S Kohane, Iftikhar J Kullo, Simon Lin, Shannon Manzi, Keith Marsolo, Casey Lynnette Overby, Jyotishman Pathak, Peggy Peissig, Jill Pulley, James Ralston, Luke Rasmussen, Dan M Roden, Gerard Tromp, Timothy Uphoff, Chunhua Weng, Wendy Wolf, Marc S Williams, Justin Starren

“…The challenges encountered caused a median total delay in system go-live of approximately two months. Conclusions: These results suggest that barriers to PGx CDS implementations are generally surmountable. …”
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Global time series and temporal mosaics of glacier surface velocities derived from Sentinel-1 data by P. Friedl, T. Seehaus, M. Braun

“…For the example region of Svalbard, we demonstrate the potential of our products for velocity time series analyses at very high temporal resolution and assess the quality of our velocity products by comparing them to those generated from very high-resolution TerraSAR-X SAR and Landsat-8 optical (ITS_LIVE, GoLIVE) data. The subset of Sentinel-1 velocities for Svalbard analyzed in this paper is accessible via the GFZ Potsdam Data Services under the DOI <a href="https://doi.org/10.5880/fidgeo.2021.016">https://doi.org/10.5880/fidgeo.2021.016</a> (Friedl et al., 2021). …”
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Seven steps to successful change: How a large academic medical center prepared patients for organizational change by Brian Carlson, Madison Agee, Terrell Smith, Paul Sternberg, Jason Morgan

“…Vanderbilt University Medical Center (VUMC) launched a new electronic health record (EHR) in a “big bang” implementation that saw the new software go live across multiple hospitals, clinics and geographic locations in a single morning. …”
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A workflow task force affects emergency physician compliance for point-of-care ultrasound documentation and billing by Resa E. Lewiss, Jessica Cook, Allison Sauler, Nicholas Avitabile, Nicole L. Kaban, Jeffrey Rabrich, Turandot Saul, Sebastian D. Siadecki, Dan Wiener

“…Methods Three months before a chosen go-live date, departmental leadership, the ultrasound division, and residents formed a task force. …”
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3081 Reducing Reintubation Risk in High-Risk Cardiac Surgery Patients with High Flow Nasal Cannula by Robert Edward Freundlich

“…METHODS/STUDY POPULATION: Based on retrospective data demonstrating a 4.7% reintubation incidence within 48 hours in our CVICU, we estimate that there will be 340 reintubations available for analysis of the risk factors for reintubation to develop our predictive model from November 2, 2017 (our EHR go-live). We require 15 events per predictive variable to avoid overfitting the model, giving us at least 22 variables for analysis and inclusion in the model. …”
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