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¶ … research database be part of the protocol development team. Perhaps the most eminent of these reasons pertains to the need to have the data collection process aligned with the efforts of the protocol development team. The sort of congruence that needs to exist between database collection and protocol development is essential to ensuring that the data that is captured for analysis directly relates to the research study as a whole. In this sense, the research database design process contributes to the development of a research study's protocol in that it provides a mechanism for determining what sort of data is possible to capture (and able to be analyzed) to support the purpose of the study. Again, it is critical to have these two elements in a research study aligned because the former directly influences the latter. If a research database is not able to capture data that is used to facilitate the overall purpose and hypotheses of a study, then those designing the study's protocol need to address that protocol to find evidence that is empirical. For the most part, the research database is responsible for determining what sort of evidence is empirical and accessible to researchers for analysis.
Electronic data capture is one of the trends in current technological advances that...
So called big data and analytics designed specifically for the variety, volume and velocity of Big Data can significantly impact research studies that need to comb through vast amounts of what is termed unstructured data (Harper, 2014). Disadvantages associated with electronic data capture include the fact that in several instances, the machinery and hardware that is required for electronic data is costly. Additionally, depending on the degree of sophistication associated with the particular method for electronic data capture that is used, it may be difficult to find individuals that can successfully manipulate such hardware and software to gain the requisite data. Data scientists, for instance, might need to manipulate such mechanisms for data capture and analytics, although there are also self-service options which researchers might employ as well (Harper, 2014). Advantages include the ability to analyze time sensitive data expediently. Additional advantages include the deployment of real time and predictive analytics options. Moreover, some of the more sophisticated statistical calculations process is able to be animated with certain electronic data capture options.
There is an inherent difficulty associated with attempts…
References
Harper, J. (2014). The vital intersection between science and technology. www.dataversity.net. Retrieved from http://www.dataversity.net/vital-intersection-science-technology/
Harper, J. (2014). Governing self-service analytics. www.dataversity.net. Retrieved from http://www.dataversity.net/governing-self-service-analytics/
Electronic Data Capture What are the most important ways that EDC affects the conduct of a clinical trial? Electronic Data Capture (EDC) takes into account an increasing series of alternatives for gathering clinical trial data. EDC facilitates the direct data entry into an electronic system, devoid of the hassle of labor-intensive record and succeeding data entry (Lindquist, 2013). With the advancement of technology, electronic data capture has replaced the collection of data
This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <
DOCTORAL SUCCESS: QUALITATIVE DATA ANALYSIS DOCTORAL SUCCESS: QUALITATIVE DATA ANALYSIS 11Doctoral Success: A Qualitative Data AnalysisStudent NameInstitutionIntroductionStatement of the ProblemGetting accepted into a doctoral program is only half the battle. Completing the program is not a given, and current doctoral completion rates are only fifty-seven percent: meaning that almost half of all doctoral students do not complete the program as planned (Johnson, 2015). Those rates are substantially lower for minorities
Risk analysis projects are relatively expensive, and were so even in the mainframe computing era, because they involved the collection and evaluation of a significant volume of data. Earlier risk studies were conducted by in house staff or consultants and the in house people did not have much experience regarding the matter and the consultants did not know much about the requirements of the organization. Presently, the familiarization task has
Growth Aided by Data Warehousing Adaptability of data warehousing to changes Using existing data effectively can lead to growth Uses of data warehouses for Public Service Getting investment through data warehouse Using Data Warehouse for Business Information Ongoing changes in Data Warehousing The Origin of Data Warehousing and its current importance Relationship between new operating system and data warehousing Developing Organizations through Data Warehousing Telephone and Data Warehousing Choose your own partner Data Warehousing for Societal Causes Updating inaccessible data Data warehousing for investors Usefulness
Electronic Health Records The advent of technology has had an impact on almost every facet of our lives. Today, thanks to technology, the maintenance of patient records is becoming increasingly easy and efficient. In this text, I will concern myself with electronic health records (EHR). In so doing, I will amongst other things take into consideration the effect of EHRs on health care and the implications of adopting this technology from