Revelatory Trends in Clinical Research and Data Management
Clinical data management is a heart and important part of a clinical trials, the outcome to generate quality data and accounting of records to protect clinical trial participants data leads to highest quality and integrity of clinical trials.
Electronic Data Capture & Remote Data CaptureCRB Tech
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Clinical data management (CDM) is a covered part in the clinical trial and most commonly used tools for the purpose of effectivity of clinical research
Scientific & systematic collection of data for clinical study is called as Clinical Data Management-
Clinical Data Management-Web Based Data Capture EDC & RDC , Oracle
SAS
Office software
UW Catalyst data collection (University of Washington)
REDCAP (Research electronic data capture)
OPENCLINICA
STUDY TRAX
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ACRI is a leading Clinical data management training Institute in Bangalore India.
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Gain the latest insight (2013) into 21 CFR Part 11 Compliance from AITalent's latest Webinar.
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Part 11 – What it is, the facts.
Part 11 – What does the future hold?
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Electronic Data Capture & Remote Data CaptureCRB Tech
CRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
Clinical data management (CDM) is a covered part in the clinical trial and most commonly used tools for the purpose of effectivity of clinical research
Scientific & systematic collection of data for clinical study is called as Clinical Data Management-
Clinical Data Management-Web Based Data Capture EDC & RDC , Oracle
SAS
Office software
UW Catalyst data collection (University of Washington)
REDCAP (Research electronic data capture)
OPENCLINICA
STUDY TRAX
Visit:www.acriindia.com
ACRI is a leading Clinical data management training Institute in Bangalore India.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
Gain the latest insight (2013) into 21 CFR Part 11 Compliance from AITalent's latest Webinar.
Discover:
Part 11 – What it is not, the myths.
Part 11 – What it is, the facts.
Part 11 – What does the future hold?
Find out more: www.aitalent.co.uk
A Trial Master File (TMF) is set up at the beginning of the trial. It is a collection of all essential documents pertaining to the trial, which in turn will allow for effective monitoring and supervision (audit). In order to demonstrate compliance with the applicable regulations, Good Clinical Practice (GCP) guidelines and the protocol – a well organised TMF is essential.
According to the GCP guidelines, it is the responsibility of the sponsor to ensure that the TMF includes all relevant essential documents, and is stored in a secure location, with restricted access. Generally, the TMF is maintained at the sponsor’s office, co-ordinating site or by the Contract Research Organisation (CRO), if contracted. In addition to the TMF, copies of all relevant documents must be kept at each participating site, in an Investigator Site File (ISF). The ISF will also include all site-specific essential documents. For example, site preparedness log or site visit logs, etc.
A member of the research or trial team should be delegated with the task of updating, maintaining and reviewing the TMF and ISF, periodically throughout the course of the clinical trial as per the defined SOPs. Ideally, the documents included in the TMF are:
Trial documents (protocol, investigator’s brochure, participant information documents, SOPs, instructions, manuals, guidelines, etc.)
Documents related to the Investigational Product (certificates of analysis, shipment records, storage records, etc.)
Training documentation for the trial team
Details of the laboratories, if applicable.
Contracts, agreements, budgets, etc.
Monitoring visit reports (for each site visit onsite or central)
Documents related to the safety reporting
Ethics Committees documents (composition of the EC, approvals, notifications, reports, etc.)
Site-specific documents (list of site staff and their curriculum vitae, investigator’s undertaking, site preparedness documents, training of site staff, etc.)
Audit related documents, if available (if an audit was conducted).
Significant communications
Others
The GCP guidelines provide comprehensive guidance regarding the documents to be included in a Trial Master File categorised according to the lifecycle of the trial. This information can also be accessed here.
It shall be the responsibility of the sponsor to make arrangements for the safe and secure custody of all study-related documents and material for a period of three years after the completion of the study or submission of the data to the regulatory authority(ies) whichever is later.
Clinical Data Management (CDM) is a critical component of clinical research that involves the collection, cleaning, validation, and management of clinical trial data to ensure its accuracy, integrity, and compliance with regulatory requirements. The workflow of CDM typically consists of several key stages, each with specific activities and processes. Here is an overview of the typical workflow of CDM:
Study Startup:
Protocol Review: CDM teams begin by reviewing the clinical trial protocol to understand the study's objectives, endpoints, data collection requirements, and timelines.
Database Design: Based on the protocol, the team designs a data capture system or electronic data capture (EDC) system. This includes creating data entry forms, defining data validation checks, and setting up data dictionaries.
Data Collection:
Case Report Form (CRF) Design: CDM professionals design electronic or paper CRFs to collect data during the trial. CRFs capture specific data points required by the protocol.
Data Entry: Data is entered into the CRFs, either electronically by site personnel or through paper CRFs.
Data Validation: CDM teams implement validation checks to ensure data quality and consistency. Data validation checks may include range checks, consistency checks, and logic checks.
Query Management: Queries are generated when data discrepancies or inconsistencies are identified. CDM teams send queries to investigational sites for resolution.
Data Cleaning and Quality Control:
Data Cleaning: Data are cleaned to resolve discrepancies, discrepancies, and inconsistencies. This involves querying data discrepancies with clinical trial sites.
Data Review: CDM teams review data to ensure completeness and accuracy, and any outstanding queries are resolved.
Quality Control: Quality control processes are applied to verify the integrity and accuracy of data.
Database Lock:
Once the data are cleaned, reviewed, and validated, the database is locked, indicating that no further changes can be made to the data. Database lock is a critical step before data analysis begins.
Data Export and Analysis:
Data is exported from the database and provided to biostatisticians and researchers for statistical analysis. This analysis is conducted to determine the study's outcomes, efficacy, and safety profile.
Data listings, summaries, and tables are generated for regulatory submissions, reports, and publications.
Final Study Reporting:
After data analysis, CDM teams contribute to the preparation of final study reports, which provide a comprehensive overview of the trial's results, data quality, and regulatory compliance.
Archiving and Documentation:
Clinical trial data, documentation, and databases are archived to ensure their long-term availability for regulatory audits and future reference.
Regulatory Submission: CDM teams provide support for regulatory submissions.
This Risk Based Monitoring - Impact on Sites overview presentation, on targeted topics, was delivered to the ACRP Raleigh - Durham Chapter's Annual Conference in 2013.
An overview of archiving of clinical studies and data. By RISHI MAHESHWARI , JSS COLLEGE OF PHARMACY , OOTY
For students in V PharmD this topic has been prepared.
The Food and Drug Administration (FDA) released Clinical Trial Imaging Endpoint Process Standards guidance for clinical trials industry. Why? To standardize. To automate. To move closer to zero-delay clinical trials. Read AG Mednet's perspective on this FDA guidance.
A Trial Master File (TMF) is set up at the beginning of the trial. It is a collection of all essential documents pertaining to the trial, which in turn will allow for effective monitoring and supervision (audit). In order to demonstrate compliance with the applicable regulations, Good Clinical Practice (GCP) guidelines and the protocol – a well organised TMF is essential.
According to the GCP guidelines, it is the responsibility of the sponsor to ensure that the TMF includes all relevant essential documents, and is stored in a secure location, with restricted access. Generally, the TMF is maintained at the sponsor’s office, co-ordinating site or by the Contract Research Organisation (CRO), if contracted. In addition to the TMF, copies of all relevant documents must be kept at each participating site, in an Investigator Site File (ISF). The ISF will also include all site-specific essential documents. For example, site preparedness log or site visit logs, etc.
A member of the research or trial team should be delegated with the task of updating, maintaining and reviewing the TMF and ISF, periodically throughout the course of the clinical trial as per the defined SOPs. Ideally, the documents included in the TMF are:
Trial documents (protocol, investigator’s brochure, participant information documents, SOPs, instructions, manuals, guidelines, etc.)
Documents related to the Investigational Product (certificates of analysis, shipment records, storage records, etc.)
Training documentation for the trial team
Details of the laboratories, if applicable.
Contracts, agreements, budgets, etc.
Monitoring visit reports (for each site visit onsite or central)
Documents related to the safety reporting
Ethics Committees documents (composition of the EC, approvals, notifications, reports, etc.)
Site-specific documents (list of site staff and their curriculum vitae, investigator’s undertaking, site preparedness documents, training of site staff, etc.)
Audit related documents, if available (if an audit was conducted).
Significant communications
Others
The GCP guidelines provide comprehensive guidance regarding the documents to be included in a Trial Master File categorised according to the lifecycle of the trial. This information can also be accessed here.
It shall be the responsibility of the sponsor to make arrangements for the safe and secure custody of all study-related documents and material for a period of three years after the completion of the study or submission of the data to the regulatory authority(ies) whichever is later.
Clinical Data Management (CDM) is a critical component of clinical research that involves the collection, cleaning, validation, and management of clinical trial data to ensure its accuracy, integrity, and compliance with regulatory requirements. The workflow of CDM typically consists of several key stages, each with specific activities and processes. Here is an overview of the typical workflow of CDM:
Study Startup:
Protocol Review: CDM teams begin by reviewing the clinical trial protocol to understand the study's objectives, endpoints, data collection requirements, and timelines.
Database Design: Based on the protocol, the team designs a data capture system or electronic data capture (EDC) system. This includes creating data entry forms, defining data validation checks, and setting up data dictionaries.
Data Collection:
Case Report Form (CRF) Design: CDM professionals design electronic or paper CRFs to collect data during the trial. CRFs capture specific data points required by the protocol.
Data Entry: Data is entered into the CRFs, either electronically by site personnel or through paper CRFs.
Data Validation: CDM teams implement validation checks to ensure data quality and consistency. Data validation checks may include range checks, consistency checks, and logic checks.
Query Management: Queries are generated when data discrepancies or inconsistencies are identified. CDM teams send queries to investigational sites for resolution.
Data Cleaning and Quality Control:
Data Cleaning: Data are cleaned to resolve discrepancies, discrepancies, and inconsistencies. This involves querying data discrepancies with clinical trial sites.
Data Review: CDM teams review data to ensure completeness and accuracy, and any outstanding queries are resolved.
Quality Control: Quality control processes are applied to verify the integrity and accuracy of data.
Database Lock:
Once the data are cleaned, reviewed, and validated, the database is locked, indicating that no further changes can be made to the data. Database lock is a critical step before data analysis begins.
Data Export and Analysis:
Data is exported from the database and provided to biostatisticians and researchers for statistical analysis. This analysis is conducted to determine the study's outcomes, efficacy, and safety profile.
Data listings, summaries, and tables are generated for regulatory submissions, reports, and publications.
Final Study Reporting:
After data analysis, CDM teams contribute to the preparation of final study reports, which provide a comprehensive overview of the trial's results, data quality, and regulatory compliance.
Archiving and Documentation:
Clinical trial data, documentation, and databases are archived to ensure their long-term availability for regulatory audits and future reference.
Regulatory Submission: CDM teams provide support for regulatory submissions.
This Risk Based Monitoring - Impact on Sites overview presentation, on targeted topics, was delivered to the ACRP Raleigh - Durham Chapter's Annual Conference in 2013.
An overview of archiving of clinical studies and data. By RISHI MAHESHWARI , JSS COLLEGE OF PHARMACY , OOTY
For students in V PharmD this topic has been prepared.
The Food and Drug Administration (FDA) released Clinical Trial Imaging Endpoint Process Standards guidance for clinical trials industry. Why? To standardize. To automate. To move closer to zero-delay clinical trials. Read AG Mednet's perspective on this FDA guidance.
Clinvigilant is a leading clinical trial solutions Providers. Clinvigilant provides end to end solutions in clinical trials, which includes clinical trial solutions, Clinical Digital Solutions and Clinical Consultancy. For more info visit clinvigilant.com
Data Management and Analysis in Clinical Trialsijtsrd
Data management and analysis play a critical role in the successful conduct of clinical trials. Proper collection, validation, and handling of data are essential for ensuring the reliability and integrity of study findings. Data management involves the design and implementation of data capture tools, such as electronic case report forms eCRFs, to efficiently collect and store clinical data. Additionally, data analysis is a crucial step that involves applying statistical methods to extract meaningful insights from the collected data. This paper provides an overview of the key components of data management and analysis in clinical trials, highlighting the importance of adherence to data standards, ensuring data quality, and maintaining data security. Effective data management and analysis not only lead to robust study outcomes but also contribute to the overall advancement of medical knowledge and patient care. S. Reddemma | Chetana Menda | Manoj Kumar "Data Management and Analysis in Clinical Trials" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59667.pdf Paper Url:https://www.ijtsrd.com/pharmacy/pharmacology-/59667/data-management-and-analysis-in-clinical-trials/s-reddemma
Everything related to CDM. Importance of CDM, Flow Activities in Clinical Trials, Data Management Plan, Database Designing, Data Management tools, Essential Characters of the database, Standard Global Dictionaries, Data Review and Validation, Query Generation, Database Lock, Technology in CDM, and Professionals of CDM.
An brief introduction to the clinical data management process is described in this slides. These slides provides you the information regarding the data evaluation in the clinical trials , edit checks and data review finally data locking,then the data is submitted to the concerned regulatory body.
Data Validation in Clinical Data ManagementClinosolIndia
Data validation is a crucial component of Clinical Data Management (CDM) to ensure the accuracy, completeness, and consistency of clinical trial data. It involves the systematic and rigorous examination of data to identify and address errors, inconsistencies, or discrepancies. Effective data validation enhances the integrity of the clinical trial data and is essential for regulatory compliance and the generation of reliable results. Here are key aspects of data validation in CDM
Clinical Data management is one of the vital part of clinical research.
Clinical research is research on drugs,devices ,medicines that has to be adminstered for various diseases and illness,to check the efficacy and safety in human voluteers or patients.
It helps in determining dose and dosages of a particular drug or treatment regimen.CR also helps in label expansion of investigational drug. Furthermore it helps in checking any adverse event in post marketed drug which increases the potability of drug among population of various geographical regions.There are various guidelines and regulatory bodies from several parts of world . Each country has its own regulatory body both at state and central level,eg.CDSCO for India,TGA for Australia,USFDA for USA,MCC for South Africa ,UNCST for Uganda,EMEA for European Union,MHRA for UK.Thus CDM plays important role in maintaining accuracy,consistencies,validity reliabilty of available data.It also in decreasing redundancy of duplicate and inconsistent data.It is required to resolve issues pertaining to inaccuracy , signal detection in pharmacovigilance. CDM is completed in three steps set up,conduct ,close out.Database used i n cdm are DBMS ,MS -Access,OC-RDC.Data managers,operators,programmers,developers are include in the process.CDMS Clinical data management system ,clinical system validation.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
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One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Defecation
Normal defecation begins with movement in the left colon, moving stool toward the anus. When stool reaches the rectum, the distention causes relaxation of the internal sphincter and an awareness of the need to defecate. At the time of defecation, the external sphincter relaxes, and abdominal muscles contract, increasing intrarectal pressure and forcing the stool out
The Valsalva maneuver exerts pressure to expel faeces through a voluntary contraction of the abdominal muscles while maintaining forced expiration against a closed airway. Patients with cardiovascular disease, glaucoma, increased intracranial pressure, or a new surgical wound are at greater risk for cardiac dysrhythmias and elevated blood pressure with the Valsalva maneuver and need to avoid straining to pass the stool.
Normal defecation is painless, resulting in passage of soft, formed stool
CONSTIPATION
Constipation is a symptom, not a disease. Improper diet, reduced fluid intake, lack of exercise, and certain medications can cause constipation. For example, patients receiving opiates for pain after surgery often require a stool softener or laxative to prevent constipation. The signs of constipation include infrequent bowel movements (less than every 3 days), difficulty passing stools, excessive straining, inability to defecate at will, and hard feaces
IMPACTION
Fecal impaction results from unrelieved constipation. It is a collection of hardened feces wedged in the rectum that a person cannot expel. In cases of severe impaction the mass extends up into the sigmoid colon.
DIARRHEA
Diarrhea is an increase in the number of stools and the passage of liquid, unformed feces. It is associated with disorders affecting digestion, absorption, and secretion in the GI tract. Intestinal contents pass through the small and large intestine too quickly to allow for the usual absorption of fluid and nutrients. Irritation within the colon results in increased mucus secretion. As a result, feces become watery, and the patient is unable to control the urge to defecate. Normally an anal bag is safe and effective in long-term treatment of patients with fecal incontinence at home, in hospice, or in the hospital. Fecal incontinence is expensive and a potentially dangerous condition in terms of contamination and risk of skin ulceration
HEMORRHOIDS
Hemorrhoids are dilated, engorged veins in the lining of the rectum. They are either external or internal.
FLATULENCE
As gas accumulates in the lumen of the intestines, the bowel wall stretches and distends (flatulence). It is a common cause of abdominal fullness, pain, and cramping. Normally intestinal gas escapes through the mouth (belching) or the anus (passing of flatus)
FECAL INCONTINENCE
Fecal incontinence is the inability to control passage of feces and gas from the anus. Incontinence harms a patient’s body image
PREPARATION AND GIVING OF LAXATIVESACCORDING TO POTTER AND PERRY,
An enema is the instillation of a solution into the rectum and sig
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From navigating policy options to staying informed about industry trends, this comprehensive guide explores everything you need to know about the health insurance market.
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Revelatory Trends in Clinical Research and Data Management
1. Revelatory Trends in Clinical Research
Sagar Ghotekar Vishal Kushare
Research Associate Ass. Professor
Varsha Sorate Manmeet Singh Mandloi
Research Associate Research Associate
2. Revelatory Trends in Clinical Data Management
What is the significance of data management in clinical research ?
Clinical data management is a heart and important part of a clinical trials,
the outcome to generate quality data and accounting of records to protect
clinical trial participants data leads to highest quality and integrity of
clinical trials.
Due to globalization of clinical trials sponsor needs to meet international
standards and strictly comply with regulatory requirements for approvals
of new drug application (NDA).
3. Clinical Data Management process involves collection, integration and
validation of clinical trial data in compliance with regulatory standards
The quality of data generated during phases of trials play an important role in
the outcome of study.
High quality of data should be absolutely accurate and suitable for statistical
analysis which results in sufficient integrity to ensure confidence in result
and conclusion depends on data generated, collected and presented during
clinical trial for review and approval of new drug by regulatory agencies.
4. Categorization of Clinical Research
Clinical Operations
Submission/Publication
Pharmacovigilance
Data Management
Biostatistics (SAS)
Medical Writing
Regulatory Submissions
Study reports
Clinical Safety & Efficacy
Clinical data is generated
Clinical data is cleaned
Clinical data is Analyzed
New Drug is
Marketed
5. Clinical trial operations plays the major role in the drug development process
right from the Phase 0 Pre Clinical Studies, Phase I, Phase II, Phase III and
Phase IV Post Marketing Surveillance.
The clinical trial operations and clinical data management together
encompasses three main stages in the drug development phase.
1. Clinical Study Start Up Phase
2. Clinical Study Conduct Phase
3. Clinical Study Close Out Phase
6. 1. Clinical Study Start Up Phase
• Case Report Form (CRF) design and development (Paper CRF/ Electronic
CRF e-CRF)
• Database Build and Design
• Quality Checks and Edit Checks
• Database Validation
• Database Activation
7. 2. Clinical Study Conduct Phase
• Data Entry
• Discrepancy Management and Query to Investigator
• Data Coding of Medical Terms (using MedDRA [Medical Dictionary for
Regulatory Activities] and WHODD [ World Health Organization Drug
Dictionary])
• Database Updates
• Data Review (Ongoing Quality Checks)
• SAE Reconciliation
• Transfer of Data
8. 3. Clinical Study Close Out Phase
• Data Discrepancy Management
• Query Generation in Data Entered
• Resolution/ Database Update
• Manual Checks/ CRF Tracking
• SAE Reconciliation
• Quality Control of Data
• Database Lock and Freeze
• Data Archival/ Electronic Archival
• Database Transfer
9. Important process involved in clinical trials
1. Clinical Data Analysis and Reporting Process
2. Release of Database
3. Extraction and Mapping of Clinical Data Entered
4. Statistical Analysis Performed
5. Statistical Analysis Report Generation
6. Electronically Data Publishing
7. Listings, Tables and Figures Publishing
8. CSR (Clinical Study Reports) are Created
9. CSR Submission
10. Overview of clinical trial and different phases in drug
development process
It involves planning (Creations of protocol as per study requirement)
Designing and development of database
Database setup
Design of forms and CRFs
Data edit checks
Data validation checks
11. Objectives of CDM Process
Collection of Clean Data
Integration of Data Captured
Validation of Data Captured
12.
13. Responsibilities in clinical research operations
Key Responsibilities Performed
Performing study/protocol procedures in a detailed, accurate manner
Submitting regulatory documents to IRB and Sponsor
Submitting the clinical study agreement
Attending investigator meeting(s)
Recruiting subjects
Getting voluntary subject consent
Screening and scheduling subjects
Dispensing, Dosing
14. Tracking and maintaining the study budget and payments, including
invoicing the sponsor for completed work
Maintaining communication and correspondence (by telephone, email, fax,
etc.) with subjects, sponsor, monitor and other site study personnel,
including: IRB
Completing case report forms (CRF) for PI review and approval.
Regulatory communication.
Handling study team
Key role in maintaining corrected data in source and other documents for
data management
15. Patient Handling
Record Keeping.
Systems to ensure quality are implemented in all aspects of the trial.
Maintaining Site Master File, Patient logs, Laboratory data and Patient
history data while performing clinical trials
Maintaining all regulatory required documents and IRB approval and other
study related documents
16. Monitoring Activities
Monitor the conduct of clinical trials, especially enrollment and quality of
data.
Verify subject safety and site adherence to FDA Regulations and ICH/GCP
Guidelines.
Ensure Adverse Events are reported appropriately, accurately and in a timely
manner and that follow-up activities are conducted as necessary.
Review CRF, Informed Consent Documents and query language/narratives.
Acquire specific clinical and therapeutic knowledge related to studies
monitored.
17. Conduct Qualification, Initiation, Interim and Closeout Clinical Activity
Manage trial reports, letters, query resolutions and expenses.
Provide support and timely follow-up for all audit and quality assurance
activities.
Communicate with study team for all trial related activities and maintain
quality work.
Communicate with medical expert team and Coordinating Investigators
Maintain TMF (Trial Master File) as per regulatory requirements.
18. Terminologies in Clinical Research and Drug
Development Process
Clinical Trials
ICH-GCP, Site Selection, Site Initiation, Terminologies, Schedule-Y, ICMR
Guidelines, Phase I, II, III & IV trials, Responsibilities of Monitor, CTA, CRA,
CRC, Investigator, Sponsor, Protocol, Investigational Brochure, CRF, eCRF,
Recruitment and Enrolment, CRF Completion and Submission, Good
Understanding of Regulatory guidelines in CR.
19. Clinical Data Management
Electronic Data Capture , CRF designing, Validation, Clinical Data Management
(Process Flow), Data Collection, Data Load/Transfer, Data Storage, Data
Validation, Data Archiving, SOPs and Audits, Query resolution.
Oracle Clinical® overview, Medidata Rave, EDC, 21 CFR part11 and Data
entry and data collection including Data transfer.
20. Pharmacovigilance
ADR, Serious Adverse Reaction, SAE, MedDRA, Risk Management,
Pharmacovigilance role, adverse drug reaction, SUSAR, ICH guidelines,
Schedule Y, Adverse event reporting (Medwatch form), Case process unit/
data entry (triage unit), Case assessment (expectedness, causality, expedited
of event),Narrative writing, Medical Terminologies.
Medical Writing
Safety Writing, Regulatory Writing, Clinical Writing
21. Key Responsibilities in Document and Data Managements
Identification of clinical documents, including but not restricted to study,
site, country & project level.
Contribute to the compilation, organization, and processing of protocol
required data, clinical study reports, regulatory submissions, or other
controlled documentation
Process clinical data including receipt, entry, verification, or filing of
information
Prepare appropriate formatting to datasets as requested
Performing QC of data entered by the specialist as per defined guidelines.
Prepare work instruction manuals, data capture guidelines, or standard
operating procedures
Query management
22. Making required corrections/ Updating users to correct data as per feedback
provided
Update and maintain the data with accuracy and integrity within all relevant
Clinical study systems.
Supporting Client Clinical Study team to meet urgent deliverables ensuring
inspection readiness
Manage and Archive essential documents as per Sponsor TMF SOP.
Organize and participating in all appropriate meetings with Study team
Compile the NDA , and ANDA document to be submitted to regulatory
Agency
Follow regulatory requirement as per e-CTD, CTD, & ACTD formats
23. Different Tools and Databases Used in Clinical Trials
and Data Management
• Medidata Rave
• Oracle Clinical
• Openclinica, Argus
• MasterScope
• ERT(e-Research Technology)
• MS-Access, Synflow
• Square- Adverse Event Report
• Credi
• e-TMF Tool
26. Conclusion
The revelatory trends in clinical trials provide the evidence that trials conducted
currently are standardized due to which the generated data is more accurate for
regulatory submissions. Thus it can be concluded that approved drugs are
highly beneficial for community and revelatory trends in clinical trial shows
higher success rate.