Data-Driven Practice Habits for Pediatric Trainees: Getting a Return on Our Data Entry Investment

2018 ◽  
Vol 18 (5) ◽  
pp. e18-e19 ◽  
Author(s):  
Emily M. Powers ◽  
Nitu Kashyap ◽  
Pnina Weiss
Author(s):  
K. Van Daele ◽  
L. Meganck ◽  
S. Mortier

Over the past 20 years, heritage inventories in Flanders (Belgium) have evolved from printed books to digital inventories. It is obvious that a system that publishes a digital inventory needs to adapt to the user requirements. But, after years of working with a digital inventory system, it has become apparent that not only has the system been developed to the users needs, but also that user practice and the resulting data have been shaped by the system. <br><br> Thinking about domain models and thesauri influenced our thinking about our methodology of surveying. Seeing our data projected on a common basemap led us to realise how intertwined and interdependent different types of heritage can be. The need for structured metadata has impressed upon us the need for good quality data, guaranteed by data entry standards, validation tools, and a strict editing workflow. Just as the researchers have transitioned from seeing their respective inventories as being significantly different to actually seeing the similarities between them, the information specialists have come to the realisation that there are synergies that can be achieved with other systems, both within and outside of our organisation. Deploying our inventories on the web has also changed how we communicate with the general public. Newer channels such as email and social media have enabled a more interactive way of communicating. <br><br> But throughout the years, one constant has remained. While we do not expect the systems to live on, we do want the data in them to be available to future generations.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Ruchir Shah ◽  
Peter Catalano ◽  
Susan Heck ◽  
Thomas Devlin ◽  
Traci Jennings ◽  
...  

Introduction: There is a lack of standard data management tools for neurovascular service lines and stroke programs. Many hospitals use “home grown” spreadsheets or upload to various registries which are designed more toward research initiatives than daily operations. Hypothesis: Installation of a dedicated Neurovascular Information System (NVIS), especially when electronically interfaced with other systems, will result in improved efficiency in operating a stroke program and/or neurovascular service line. Methods: A large health system in Tennessee has installed an NVIS for daily use within its Comprehensive Stroke Center. The system has been interfaced with other information systems in the hospital to support automated data entry. The service line directors and physician leaders have monitored data related to time spent in various aspects of program management (e.g. data entry/management, interaction with staff, interaction with patients, etc.) to understand how the use of a system can impact resource allocation. The system is being utilized through mobile technology, such as tablets, and static monitoring units in identified key locations. Results: The data collection time required has been reduced by more than 50% because of the system’s automated collection and reporting features. The leaders of the service line have also developed more detailed, data-driven dashboards which are being used for management decisions. Education is also data-driven as any process fall-outs are revealed through program dashboards. Conclusion: Utilization of a dedicated NVIS reverses the narrative related to stroke program management. It has allowed the program leaders to use data to drive programmatic decisions and development, rather than being tied to data entry requirements and struggling to enter post-dated information. This novel approach continues to support research endeavors and registry participation, while increasing efficiency and improving access to meaningful analytics.


Author(s):  
M.F. Schmid ◽  
R. Dargahi ◽  
M. W. Tam

Electron crystallography is an emerging field for structure determination as evidenced by a number of membrane proteins that have been solved to near-atomic resolution. Advances in specimen preparation and in data acquisition with a 400kV microscope by computer controlled spot scanning mean that our ability to record electron image data will outstrip our capacity to analyze it. The computed fourier transform of these images must be processed in order to provide a direct measurement of amplitudes and phases needed for 3-D reconstruction.In anticipation of this processing bottleneck, we have written a program that incorporates a menu-and mouse-driven procedure for auto-indexing and refining the reciprocal lattice parameters in the computed transform from an image of a crystal. It is linked to subsequent steps of image processing by a system of data bases and spawned child processes; data transfer between different program modules no longer requires manual data entry. The progress of the reciprocal lattice refinement is monitored visually and quantitatively. If desired, the processing is carried through the lattice distortion correction (unbending) steps automatically.


2008 ◽  
Author(s):  
Kimberly A. Barchard ◽  
Jenna Scott ◽  
David Weintraub ◽  
Larry A. Pace
Keyword(s):  

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