Lessons Learned from Progressive Design-Build Implementation on Airport Projects

Author(s):  
Ghada M. Gad ◽  
Brandon Davis ◽  
Pramen P. Shrestha ◽  
Patrick Harder
Keyword(s):  
2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 39-39
Author(s):  
John Gilks ◽  
Marta Yurcan ◽  
Tim Yardley ◽  
Scott Gavura ◽  
Vishal Kukreti

39 Background: Ontario hospitals are reimbursed for IV chemotherapy through Cancer Care Ontario’s (CCO) New Drug Funding Program (NDFP). By 2009, 54 indications (annual budget $195MM) were managed through largely paper based processes. A new web based system (eClaims) was developed focusing on clinic workflow and integration to chemotherapy ordering systems. Interfaces were developed for CCO’s OPIS and commercial systems (HL7v3). eClaims provides users with clinical best practice, pre-approval, immediate adjudication and simple means of tracking outstanding claims. The benefits and challenges are described. Methods: Evaluation used several strategies: debriefs after each deployment; post-go live user surveys and lessons learned workshops. Results: eClaims was deployed in 80 hospitals over two years. At most sites (50/80) treatment data flows from CPOE systems to eClaims in near real time. Over 50% of claims are machine adjudicated. Newly approved indications can be posted within hours. The main learnings during the deployment process were the need to understand and adjust for hospital specific factors and the unique business relationships among clusters of hospitals. Survey responses were received at a 19% response rate. The later deployment groups reported greater satisfaction than earlier adopters with more positive responses in all categories. Workshop key theme was the need to match complex clinical workflows with design/build processes. Secondly, evaluation of historical data before migration is necessary. Conclusions: Introducing an application into complex, varied clinical workflows is difficult. The phased approach to deployment and evaluation worked, allowing for increasingly smooth go lives. Future work revolves around balancing user needs through eClaims modifications vs simplifying clinical processes to make the tool more usable.


2012 ◽  
Vol 2012 (8) ◽  
pp. 6594-6600
Author(s):  
Scott A. Hardy ◽  
Michael Reisinger ◽  
Richard Schoeck ◽  
Adam Minchey ◽  
Richard Porter ◽  
...  

2012 ◽  
Vol 2012 (10) ◽  
pp. 5589-5603
Author(s):  
Eric Michnovez ◽  
Glenn Harvey ◽  
Steven Bennett

2016 ◽  
Vol 44 (3) ◽  
pp. 716-722 ◽  
Author(s):  
Mark Aden Scaife ◽  
Alison Gail Smith

The genetic, physiological and metabolic diversity of microalgae has driven fundamental research into photosynthesis, flagella structure and function, and eukaryotic evolution. Within the last 10 years these organisms have also been investigated as potential biotechnology platforms, for example to produce high value compounds such as long chain polyunsaturated fatty acids, pigments and antioxidants, and for biodiesel precursors, in particular triacylglycerols (TAGs). Transformation protocols, molecular tools and genome sequences are available for a number of model species including the green alga Chlamydomonas reinhardtii and the diatom Phaeodactylum tricornutum, although for both species there are bottlenecks to be overcome to allow rapid and predictable genetic manipulation. One approach to do this would be to apply the principles of synthetic biology to microalgae, namely the cycle of Design-Build-Test, which requires more robust, predictable and high throughput methods. In this mini-review we highlight recent progress in the areas of improving transgene expression, genome editing, identification and design of standard genetic elements (parts), and the use of microfluidics to increase throughput. We suggest that combining these approaches will provide the means to establish algal synthetic biology, and that application of standard parts and workflows will avoid parallel development and capitalize on lessons learned from other systems.


Author(s):  
Luming Shang ◽  
Giovanni C. Migliaccio

AbstractThe design–build (DB) project delivery method has been used for several decades in the US construction market. DB contracts are usually awarded on the basis of a multicriteria evaluation, with price as one of the most salient criteria. To ensure the project’s success, an owner usually has to invest enough time and effort during scoping and early design to define a program, scope, and budget, ready for procurement and price generation. However, this process can become a burden for the owner and may lengthen the project development duration. As an alternative to the traditional DB, the progressive design–build (PDB) approach permits the selection of the DB team prior to defining the project program and/or budget. PDB has the advantage of maintaining a single point of accountability and allowing team selection based mainly on qualifications, with a limited consideration of price. Under PDB, the selected team works with the project stakeholders during the early design stage, while helping the owner balance scope and budget. However, the key to the effectiveness of PDB is its provision for the ongoing and complete involvement of the owner in the early design phase. Due to the differences between PDB and the other project delivery methods (e.g., traditional DB), project teams must carefully consider several factors to ensure its successful implementation. The research team conducted a case study of the University of Washington’s pilot PDB project to complete the West Campus Utility Plant (WCUP). This paper carefully explores and summarizes the project’s entire delivery process (e.g., planning, solicitation, design, and construction), its organizational structures, and the project performance outcomes. The lessons learned from the WCUP project will contribute to best practices for future PDB implementation.


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