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Pharmacy 2017 Paper AD02Automated Generation of Clinical Study Reports using SAS and RTF (Literate programming) Radar Venkatesh, Cognizant Technology Solutions; Julien Saucer, Nest Research Center;
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Step 1: Start by gathering all the necessary patient information such as medical history, current symptoms, and test results.
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Step 2: Input the gathered information into the automated generation software or tool.
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Step 3: Specify the required format or template for the clinical report.
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Step 4: Review the generated report for any errors or inconsistencies.
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Step 5: Make necessary revisions or additions to the report, if needed.
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Step 6: Finalize the clinical report and ensure all relevant information is included.
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Step 7: Save and export the generated clinical report for further use or distribution.

Who needs automated generation of clinical?

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Medical professionals and healthcare providers who deal with a large number of clinical cases can benefit from automated generation of clinical reports.
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Hospitals, clinics, and healthcare facilities that handle a high volume of patients can streamline their documentation process using automated generation.
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Research institutions and clinical trial organizations can utilize automated generation to quickly generate standardized clinical reports.
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Automation can also be useful for medical students and researchers who need to generate clinical reports for their studies or publications.
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Automated generation of clinical refers to the process of using technology to create clinical documentation, such as medical records or reports, without manual intervention.
Healthcare providers and facilities are required to file automated generation of clinical in order to maintain accurate and up-to-date patient records.
Automated generation of clinical can be filled out using electronic health record systems or other clinical documentation software that is compliant with industry standards.
The purpose of automated generation of clinical is to streamline the documentation process, improve accuracy, and enhance patient care by ensuring that all relevant information is recorded in a timely manner.
Automated generation of clinical should include details of patient visits, diagnoses, treatments, medications prescribed, and any other relevant medical information.
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