The Problem of Clinical Study Data Entry
Clinical study data entry is a time-consuming and labor-intensive process that can significantly impact the efficiency of clinical trials. The process involves manually entering data from electronic health records into electronic data capture (EDC) systems, which can lead to errors, inconsistencies, and delays in the trial. • The manual entry process can be prone to errors, as it requires human intervention and can be influenced by factors such as fatigue, distractions, and lack of training. • Inconsistent data entry can lead to inaccurate results, which can have serious consequences for patients and the trial’s overall outcome.
Partnership with CityMD
Notable has formed a strategic partnership with CityMD, a leading urgent care provider in New York and New Jersey.
This new feature will be integrated into the state’s existing prescription monitoring program, which is already in use by over 90% of Ohio’s healthcare providers.
The Impact on Healthcare Providers
The integration of the new feature will have a significant impact on healthcare providers in Ohio. By providing real-time alerts, the system will enable providers to make more informed decisions about patient care. This will lead to improved patient outcomes, reduced risk of overdose, and enhanced patient safety.
The Need for Improved Prescription Monitoring
The opioid epidemic has been a pressing concern for healthcare providers, policymakers, and individuals affected by the crisis.
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