Verified Document

Analyzing Operational Data Systems Essay

Related Topics:

Operational Data Systems There are several systems and technologies commonly used to manage operational data. These tools accessible for data management are referred to as Clinical Data Management Systems (CDMS). The commonly used tools include: CLINTRIAL, ORACLE CLINICAL, RAVE, MACRO and also eClinical Suite (Krishnankutty et al., 2012). With regard to functionality, these software technologies are relatively comparable and there is no substantial lead of one system set against the other. These software technologies are costly and require sophisticated Information Technology infrastructure to function (Krishnankutty et al., 2012). However, other personalized systems and technologies commonly used to manage operational data include: OpenClinica, openCDMS, TrialDB, and PhOSCo. These data management software technologies are free with regards to cost and comparatively effective against their viable equivalents (Krishnankutty et al., 2012).

In this method, the systems and technology employed in this discussion is OpenClinica. To begin with, OpenClinica is a software platform that is web-based. This system was technologically established and advanced by Akaza Research, which manages clinical research studies for several different sites. In particular, OpenClinica enables protocol alignment, designing of case report forms, electronic data capture (EDC), recovery, and data management (Ashwin, 2006). This technology takes...

With respect to data management, the sole significant benefit of OpenClinica is encompassed in the user interface. The workflow is exceedingly spontaneous, and has user indications right from the outset. One more pronounced feature is the capacity to design modus operandi, studies and generate case report forms devoid of any knowledge or proficiency in programming (Ashwin, 2006).
With respect to data management, OpenClinica, in a dynamic manner, produces web-based interfaces for the clinical implements well-defined within a project, and at the same time, executing the authentication logic identified. It offers investigators with instinctive web-based workflows to hand in, probe and export datasets, manage multi-site ventures and oversee project-distinct user rights and responsibilities (Ashwin, 2006). In addition, this technology can also serve the purpose of functioning as a centralized data repository. Through OpenClinica, every researcher or investigator is able to arrange and format his or her own research projects in data management, outline custom clinical appraisal implements, and manage plans and strategies for his or her own research studies in varied clinical research areas. Ashwin (2006) points out that OpenClinica executes a steady security model,…

Sources used in this document:
References

Ashwin. (2006). Open Source Clinical Data Management. Retrieved 18 January, 2016 from: http://ashwinnaik.com/blog/open-souce-clinical-data-management/

Krishnankutty, B., Bellary, S., Kumar, N. B., & Moodahadu, L. S. (2012). Data management in clinical research: an overview. Indian journal of pharmacology, 44(2), 168.
Cite this Document:
Copy Bibliography Citation

Related Documents

Data Warehouse and Business Intelligence in Order
Words: 1499 Length: 5 Document Type: Essay

Data Warehouse and Business Intelligence In order to write a paper on the similarities and contrast between data warehouse and business intelligence, we need to first define each term before finding the similarities and contrasts between the two. Data Warehouses Data warehouse are used for storing data for archival, analysis, and security purposes. The warehouses themselves are made up of one or many computers (i.e. servers) that are connected together into one giant

Systems Media Table: Comparison System Uses Word
Words: 2095 Length: 7 Document Type: Essay

Systems Media Table: Comparison System Uses Word processor The main purpose of this program is to construct sentences of the perceived information and manipulate paragraphs to form a word document. The program uses a display format 'what-you-see-is-what-you-get' to enhance the quality of the expected hardcopy. WordPerfect and Microsoft Word are mostly superseded by both organization and personal computers to perform functions such as word formatting, letter processing and some simple designing. Accordingly, it is the

Data Warehouse a Strategic Weapon of an Organization
Words: 10375 Length: 38 Document Type: Term Paper

Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to

Data Mining Evaluating Data Mining
Words: 3527 Length: 10 Document Type: Thesis

The use of databases as the system of record is a common step across all data mining definitions and is critically important in creating a standardized set of query commands and data models for use. To the extent a system of record in a data mining application is stable and scalable is the extent to which a data mining application will be able to deliver the critical relationship data,

Analyzing the Data Monitoring
Words: 756 Length: 2 Document Type: Essay

Monitoring Why is it important for the CRA to understand the data management and statistical analysis plans? What exceptions might there be? The clinical research associate (CRA) has the main role and responsibility of carefully selecting fitting investigators, instigates and monitors the clinical trials at the different sites and, monitors the advancement of the study up until completion. In addition, the CRAs are also dispensed the accountability and obligation of thoroughly

Data Warehouse Has Been of
Words: 2010 Length: 6 Document Type: Term Paper

However, many, if not most data warehouses have yet to deal effectively with this very real problem. Additionally, in the near future new parallel database servers are likely to improve the power of data warehousing exponentially. Not only will these servers allow the user to access immense pools of data, but they will also allow them to do so in a fraction of the time (ICFAI, 2004). Finally, it is also very

Sign Up for Unlimited Study Help

Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.

Get Started Now