Electronic Data Capture (EDC) Statistics 2024 – Everything You Need to Know

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Are you looking to add Electronic Data Capture (EDC) to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Electronic Data Capture (EDC) statistics of 2024.

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How much of an impact will Electronic Data Capture (EDC) have on your day-to-day? or the day-to-day of your business? Should you invest in Electronic Data Capture (EDC)? We will answer all your Electronic Data Capture (EDC) related questions here.

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Best Electronic Data Capture (EDC) Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 30 Electronic Data Capture (EDC) Statistics on this page πŸ™‚

Electronic Data Capture (EDC) Market Statistics

  • Over the last decade the use of EDC in clinical trials has become more prominent, with the global EDC systems market estimated to reach a value of almost €935 million by 2025[1]. [0]
  • According to this Electronic Data Capture Systems Market Size, Share & Trends Analysis Report β€œThe global Electronic Data Capture systems market size was valued at USD 349.8 million in 2016. [1]

Electronic Data Capture (EDC) Adoption Statistics

  • A systematic review of EDC adoption surveys conducted up to 2007 concluded that only 20% of trials are using EDC systems, but previous surveys had weaknesses. [2]

Electronic Data Capture (EDC) Latest Statistics

  • Due to regulatory requirements EDC systems for interventional trials must undergo a validation process according to regulations for electronic data capture in clinical trials [12] like Good Clinical Practice. [3]
  • We had a 78.2% response rate for the survey. [2]
  • It is estimated that 41% (95% CI 37.5% 44%). [2]
  • On average it has been proven that EDC cuts 41% of pre. [0]
  • It has been reported that switching to EDC saves on average 30% of the time it takes to conduct a clinical trial[2]. [0]
  • “Industry Research Shows 97% of Companies to Increase Use of Realworld Patient Data for More Accurate Decision. [4]
  • The statistics published by the Center for Study of Drug Development states that more than 80% of clinical trials failed as they are unable to meet regulatory requirements, which resulted in delayed drug commercialization. [1]
  • More than 75 percent of clinical trials are held with the EDC system. [5]
  • Roughly half of the responses indicated a favorable view of Medidata, while more than 30% of feedbacks favored Inform. [6]
  • Among 93 responses, there were 44 positive responses for Inform, which is nearly 50%. [6]
  • our typical database build by 50%… [7]
  • Such audits do not assess the percentage of correct data; rather, they identify additional errors introduced during data processing [14]. [8]
  • The first sourceto database audit at each site occurred at a point when 20%–30% of the expected subjects were enrolled. [8]
  • The second audit was performed at 70%–80% of expected enrollment. [8]
  • Assuming a 95% CI, where npi>5, the CI can be calculated from the following equations [. [8]
  • ZΞ± is 1.645 (the one sided alpha level associated with 95% of the normal Z). [8]
  • Further, in Formula 2, pj is the error at site or time j of size nj to be compared to some other error rate pj with sample size nj, and ZΞ±/2 is 1.96 (the two sided alpha level associated with 95% of the normal Z). [8]
  • As shown in Figure 2, for a set of baseline error rates and assumed differences, the sample size required to distinguish groups quickly becomes large at 80% power. [8]
  • For example, if the error rate is 30/10,000 in one site, and the error rate in the second site is triple , then at 80% power , we would require 2900 fields per group. [8]
  • An additional 3500 fields were audited when approximately 70%–80% of expected enrollment was achieved, providing a statistically representative sample at each site across two time points. [8]
  • The first sourceto database audit was performed when 20%–30% of expected subject enrollment was reached; the second database audit was performed when 70%–80% of expected enrollment was reached. [8]
  • We identified 139 errors, yielding an estimated error rate of 428 errors per 10,000 fields, comparable to the published literature for sourceto. [8]
  • Under the revised plan, an initial sourceto database audit would be performed for each site upon reaching 20%–30% of expected enrollment. [8]
  • If the error rate of sourceto database audits for a given site was outside the bounds of the 95% CI calculated over all audits on the trial, that site’s data quality was deemed to differ sufficiently to warrant further investigation and intervention. [8]
  • Setting an acceptance criterion is unnecessary from a statistical point of view, given that 95% CIs could be used. [8]
  • Operationally, the initial 3500 field sample size allowed for a half day on site, but the requirement to complete the audit at 20%–30% of enrollment at each site did not permit trips to be combined. [8]
  • The benchmark of 20% enrollment was selected to ensure that sufficient data were available for sourceto database audits, but that the amount would be too large for sites to β€œscrub” the first few cases. [8]

I know you want to use Electronic Data Capture (EDC) Software, thus we made this list of best Electronic Data Capture (EDC) Software. We also wrote about how to learn Electronic Data Capture (EDC) Software and how to install Electronic Data Capture (EDC) Software. Recently we wrote how to uninstall Electronic Data Capture (EDC) Software for newbie users. Don’t forgot to check latest Electronic Data Capture (EDC) statistics of 2024.

Reference

  1. quanticate – https://www.quanticate.com/blog/electronic-data-capture-systems-in-clinical-trials.
  2. sofpromed – https://www.sofpromed.com/what-is-an-electronic-data-capture-edc-system-in-clinical-trials.
  3. nih – https://pubmed.ncbi.nlm.nih.gov/19275984/.
  4. biomedcentral – https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-016-0402-4.
  5. wikipedia – https://en.wikipedia.org/wiki/Electronic_data_capture.
  6. onlinecrf – https://onlinecrf.com/benefits-edc.html.
  7. credevo – https://credevo.com/articles/2019/02/28/what-is-the-best-edc-system-ecrf-youve-ever-used-review-of-online-user-initiated-surveys-on-social-media/.
  8. veeva – https://www.veeva.com/products/vault-edc/.
  9. plos – https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0003049.

How Useful is Electronic Data Capture

One of the key advantages of EDC is its ability to eliminate manual data entry, which minimizes errors and reduces the risk of data inaccuracies. By automating the data capture process, organizations can ensure data integrity and improve the quality of the data collected. This is particularly crucial in fields such as healthcare and clinical research, where accurate and reliable data is essential for making informed decisions and advancements in medical treatments.

Another major benefit of electronic data capture is its time-saving capabilities. With EDC systems in place, data can be captured, stored, and analyzed in real-time, significantly reducing the time and resources required to manage and process data. This not only enhances operational efficiency but also enables organizations to make timely decisions based on up-to-date information.

Moreover, EDC offers greater flexibility and scalability compared to traditional paper-based data capture methods. With EDC systems, organizations can easily customize data capture forms, integrate data from multiple sources, and adapt to changing data collection requirements. This level of flexibility is particularly valuable for organizations that deal with complex or evolving data collection needs.

Despite these benefits, there are some limitations to electronic data capture that need to be considered. For instance, the initial setup and implementation of EDC systems can be costly and time-consuming. Organizations may need to invest in specialized software, hardware, and training to effectively implement EDC, which can be a barrier for smaller organizations with limited resources.

Furthermore, cybersecurity concerns pose a significant risk to electronic data capture. With data being stored and transmitted digitally, organizations need to take stringent measures to protect sensitive information from cyber threats and data breaches. This requires robust data security protocols, regular monitoring, and compliance with data privacy regulations to ensure the safety and confidentiality of data.

Lastly, the digital divide remains a challenge for electronic data capture in certain sectors and regions. Not all organizations have access to the necessary technology or infrastructure to implement EDC effectively, limiting the reach and impact of this technology. Addressing these disparities and ensuring equitable access to EDC tools is crucial for closing the digital divide and empowering organizations to leverage the benefits of electronic data capture.

In conclusion, electronic data capture is a valuable tool for modern organizations looking to enhance data collection, improve data quality, and drive operational efficiency. While EDC offers numerous benefits, it is important for organizations to be mindful of the potential drawbacks and challenges associated with implementing this technology. By understanding the strengths and limitations of electronic data capture, organizations can make informed decisions about its use and maximize the value it brings to their data collection processes.

In Conclusion

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