This presentation presents best training practices to leverage EDC technology and risk-based monitoring to effectively and efficiently monitor clinical research.
Our focus is on the practical process of preparing your team to optimize the tools made available through an EDC solution.
This presentation is applicable to CRA’s, clinical project managers, clinical data managers, regulatory compliance professionals, and those involved in the design and implementation of risked-based monitoring plans.
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.
Presentation delivered by Lori A. Tierney, BSN, Director, Site Management Operations, Allergan, Inc. at the marcus evans Evolution Summit Fall 2019 in San Diego CA.
Risk based monitoring presentation into what Risk Based Monitoring (RBM) is all about. The value of getting it right, and the risks of getting it wrong. We look at the Triumph Research Intelligence (TRI) approach to RBM, and the TRI solution to RBM. An insight into the Future of Visual OPRA is given.
After reviewing the FDA regulations on Risk Based Monitoring, review the details on how to put the principles into action! We include two reference documents to help you get started... and to make it a success.
CRO/Vendor oversight should support sponsor regulatory requirements and cost containment.Quality Management in clinical operations are Centralized Monitoring, Study Quality Metrics and CRO Oversight.
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.
Presentation delivered by Lori A. Tierney, BSN, Director, Site Management Operations, Allergan, Inc. at the marcus evans Evolution Summit Fall 2019 in San Diego CA.
Risk based monitoring presentation into what Risk Based Monitoring (RBM) is all about. The value of getting it right, and the risks of getting it wrong. We look at the Triumph Research Intelligence (TRI) approach to RBM, and the TRI solution to RBM. An insight into the Future of Visual OPRA is given.
After reviewing the FDA regulations on Risk Based Monitoring, review the details on how to put the principles into action! We include two reference documents to help you get started... and to make it a success.
CRO/Vendor oversight should support sponsor regulatory requirements and cost containment.Quality Management in clinical operations are Centralized Monitoring, Study Quality Metrics and CRO Oversight.
All about Clinical Trials_Katalyst HLSKatalyst HLS
Introduction to All about Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Contact:
"Katalyst Healthcares & Life Sciences"
South Plainfield, NJ, USA
info@KatalystHLS.com
Risk Based Monitoring in Clinical Trials.ClinosolIndia
Risk-based monitoring (RBM) is a monitoring strategy in clinical trials that aims to improve the quality and efficiency of data collection while reducing costs and burden on study participants. Rather than conducting monitoring activities at fixed intervals, RBM utilizes a risk assessment approach to identify areas of the study that are at higher risk of errors or deviations from the protocol and focuses monitoring efforts on those areas.
The RBM process begins with a risk assessment, which involves identifying potential risks to the study's data integrity, participant safety, and study conduct. This may include risks related to patient enrollment, data collection, adverse event reporting, or protocol compliance. Based on the risk assessment, the study team creates a risk management plan that outlines the monitoring strategy to be employed throughout the trial.
In RBM, monitoring activities are targeted to focus on the areas of the study that present the highest risk. For example, if a study has a high risk of data entry errors, the monitoring plan may include a more intensive review of data entry activities or require that data be entered in real-time, so errors can be identified and corrected more quickly.
RBM can be facilitated through several tools, such as centralized monitoring, key risk indicator (KRI) dashboards, or data analytics. Centralized monitoring allows for remote review of study data by a team of experts who can identify trends and issues more efficiently. KRIs are pre-defined metrics used to track performance and detect areas of concern, allowing for proactive management of risks. Data analytics can identify unusual patterns or outliers in the data, enabling the study team to focus on those areas of concern.
RBM is a dynamic process that involves ongoing evaluation of the study's risk profile and adjusting the monitoring strategy accordingly. By focusing monitoring efforts on the areas of the study that pose the highest risk, RBM can improve data quality and participant safety, while reducing monitoring costs and burden.
This Module provides guidance on planning and conducting the legally required audits, the role, context and management of pharmacovigilance audit activity.
The principles in this module are aligned with internationally accepted auditing standards, issued by relevant international auditing standardization organizations and support a risk-based approach to pharmacovigilance audits.
In the course of any clinical trial, there are risks associated with specific activities and tasks. This webinar will highlight some of these key risk areas and provide guidance on combining technology with best practices to help mitigate risks.
Role responsibilities of_a_clinical_research_coordsushant deshmukh
Clinical Research Coordinator (CRC) is a specialized research person working with and under the direction of the Principal Investigator .While the Principal Investigator(PI) is primarily responsible for the overall designing, conducting, and management of the clinical trial, the CRC supports, and coordinates the regular clinical trial activities and plays a crucial role in the conduct of the study. By doing these duties, the CRC works with the PI, sponsor ,department, and institution to support and provide guidance on every related aspects of the study.
Every clinical research project may have one or more study coordinators depending on the workload at the trial site. Clinical trials at site level can be roughly divided into 3 stages. The three stages and the role of the coordinators at these stages are:
1) Before starting the clinical trial
2) During the conduct of the clinical trial
3) After finishing the clinical trial
1) Before starting the clinical trial:
Optimizing management of clinical trial supply chains through improved visibi...SPLY ApS
Introduction slides for the workshop on best practice for optimizing the clinical supply chain visibility held at the Clinical Trials Supply Forum 2018 conference in London.
Signal detection is a process used in pharmacovigilance to identify potential safety issues or new safety information associated with a medicinal product. The goal of signal detection is to detect signals, or potential safety concerns, as early as possible in order to allow for timely risk management and safety interventions.
Signal detection typically involves analyzing large amounts of safety data, including adverse event reports, clinical trial data, post-marketing surveillance data, and other sources of safety information. The data is analyzed using statistical methods and algorithms to identify any patterns or trends that may suggest a potential safety concern.
Once a potential safety concern is identified, further investigation is typically required to confirm the signal and assess the magnitude of the risk. This may involve conducting additional studies, analyzing the available data in more detail, or consulting with regulatory agencies and other stakeholders.
Signal detection is an ongoing process that continues throughout the life cycle of a medicinal product. The process is critical for ensuring the ongoing safety and effectiveness of medicinal products, and is an important component of pharmacovigilance activities.
Using JReview to Analyze Clinical and Pharmacovigilance Data in Disparate Sys...Perficient, Inc.
Sponsors and CROs naturally rely on various clinical and safety systems from a multitude of software vendors. However, continuously accessing disparate sources for the reporting, analysis, and monitoring of data can be a treacherous undertaking, if you don't have a solution that connects to them right out of the box.
That's where JReview comes in. For almost two decades, life sciences companies, research organizations, in addition to the government, have relied on JReview for the comprehensive analysis and monitoring of clinical and pharmacovigilance data.
The analytics solution works with many Oracle Health Sciences applications, including Argus Safety, Oracle AERS, Oracle Clinical (OC), Remote Data Capture (RDC), Thesaurus Management System (TMS), InForm, Life Sciences Data Hub (LSH), and Clinical Development Center (CDC). JReview also works with non-Oracle solutions, such as ARISg, Medidata Rave, and SAS Drug Development.
In this slideshare, you will learn:
The features and benefits of JReview, including the new functionality in v10.0 (e.g., risk-based monitoring analytics reporting on the clinical data itself, etc.)
Benefits of using JReview for:
Reporting and query of your clinical data
Supplying internal and/or external users/sponsors information
Providing a secure way for your internal users and/or sponsor users to access the clinical data
Examples of how customers use JReview with OC/RDC
The implementation process and options
This Presentation is about why CRO/Vendor oversight should support sponsor regulatory requirements and cost containment.
Topics covered:
1.Importance of CRO/Vendor oversight in clinical trial management.
2. Identify the ways to integrate a risk-based approaches to CRO/Vendor oversight.
3. Developing a CRO/Vendor oversight plan with appropriate KPIs/metrics to be measured.
4. Use of tools and technology for accurate and timely reporting.
Pharmacovigilance "Module I" Pharmacovigilance system & their quality systemMohamed Raouf
This Module contains guidance for the establishment and maintenance of quality assured Pharmacovigilance systems for marketing authorization holders (MAHs) and national medicine authorities (NMAs).
Reference:- Guideline on good pharmacovigilance practices (GVP) version no.3
Signal detection and management activities are at the core of ensuring drug safety. A complex process of signal detection; through their validation and confirmation; analysis and prioritisation; and signal assessment to recommending action.
Find out more at out training: http://bit.ly/1W31NCF
Leverage Your EDC Solution to Mitigate Risk in Clinical Researchwww.datatrak.com
Every clinical trial is built upon a study protocol - the cornerstone of any trial. A well-defined and written study protocol provides the blueprint for the study, defining its purpose and goals. Studies have become more complex, creating more complicated study design, which can lead to making adherence more challenging for the study team and participants. The potential risk that some aspect of the study could be done incorrectly or not comply is inherent in all studies, but particularly present in complex research.
In order to help mitigate risk, advances in technology and the tools available today provide ways for us to mitigate some of the risk introduced in our clinical trials. While the study protocol is a cornerstone for the clinical trial, electronic data capture (EDC) applications have evolved in the broadest sense into technology solutions that provide us with a variety of tools to help mitigate risk.
All about Clinical Trials_Katalyst HLSKatalyst HLS
Introduction to All about Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Contact:
"Katalyst Healthcares & Life Sciences"
South Plainfield, NJ, USA
info@KatalystHLS.com
Risk Based Monitoring in Clinical Trials.ClinosolIndia
Risk-based monitoring (RBM) is a monitoring strategy in clinical trials that aims to improve the quality and efficiency of data collection while reducing costs and burden on study participants. Rather than conducting monitoring activities at fixed intervals, RBM utilizes a risk assessment approach to identify areas of the study that are at higher risk of errors or deviations from the protocol and focuses monitoring efforts on those areas.
The RBM process begins with a risk assessment, which involves identifying potential risks to the study's data integrity, participant safety, and study conduct. This may include risks related to patient enrollment, data collection, adverse event reporting, or protocol compliance. Based on the risk assessment, the study team creates a risk management plan that outlines the monitoring strategy to be employed throughout the trial.
In RBM, monitoring activities are targeted to focus on the areas of the study that present the highest risk. For example, if a study has a high risk of data entry errors, the monitoring plan may include a more intensive review of data entry activities or require that data be entered in real-time, so errors can be identified and corrected more quickly.
RBM can be facilitated through several tools, such as centralized monitoring, key risk indicator (KRI) dashboards, or data analytics. Centralized monitoring allows for remote review of study data by a team of experts who can identify trends and issues more efficiently. KRIs are pre-defined metrics used to track performance and detect areas of concern, allowing for proactive management of risks. Data analytics can identify unusual patterns or outliers in the data, enabling the study team to focus on those areas of concern.
RBM is a dynamic process that involves ongoing evaluation of the study's risk profile and adjusting the monitoring strategy accordingly. By focusing monitoring efforts on the areas of the study that pose the highest risk, RBM can improve data quality and participant safety, while reducing monitoring costs and burden.
This Module provides guidance on planning and conducting the legally required audits, the role, context and management of pharmacovigilance audit activity.
The principles in this module are aligned with internationally accepted auditing standards, issued by relevant international auditing standardization organizations and support a risk-based approach to pharmacovigilance audits.
In the course of any clinical trial, there are risks associated with specific activities and tasks. This webinar will highlight some of these key risk areas and provide guidance on combining technology with best practices to help mitigate risks.
Role responsibilities of_a_clinical_research_coordsushant deshmukh
Clinical Research Coordinator (CRC) is a specialized research person working with and under the direction of the Principal Investigator .While the Principal Investigator(PI) is primarily responsible for the overall designing, conducting, and management of the clinical trial, the CRC supports, and coordinates the regular clinical trial activities and plays a crucial role in the conduct of the study. By doing these duties, the CRC works with the PI, sponsor ,department, and institution to support and provide guidance on every related aspects of the study.
Every clinical research project may have one or more study coordinators depending on the workload at the trial site. Clinical trials at site level can be roughly divided into 3 stages. The three stages and the role of the coordinators at these stages are:
1) Before starting the clinical trial
2) During the conduct of the clinical trial
3) After finishing the clinical trial
1) Before starting the clinical trial:
Optimizing management of clinical trial supply chains through improved visibi...SPLY ApS
Introduction slides for the workshop on best practice for optimizing the clinical supply chain visibility held at the Clinical Trials Supply Forum 2018 conference in London.
Signal detection is a process used in pharmacovigilance to identify potential safety issues or new safety information associated with a medicinal product. The goal of signal detection is to detect signals, or potential safety concerns, as early as possible in order to allow for timely risk management and safety interventions.
Signal detection typically involves analyzing large amounts of safety data, including adverse event reports, clinical trial data, post-marketing surveillance data, and other sources of safety information. The data is analyzed using statistical methods and algorithms to identify any patterns or trends that may suggest a potential safety concern.
Once a potential safety concern is identified, further investigation is typically required to confirm the signal and assess the magnitude of the risk. This may involve conducting additional studies, analyzing the available data in more detail, or consulting with regulatory agencies and other stakeholders.
Signal detection is an ongoing process that continues throughout the life cycle of a medicinal product. The process is critical for ensuring the ongoing safety and effectiveness of medicinal products, and is an important component of pharmacovigilance activities.
Using JReview to Analyze Clinical and Pharmacovigilance Data in Disparate Sys...Perficient, Inc.
Sponsors and CROs naturally rely on various clinical and safety systems from a multitude of software vendors. However, continuously accessing disparate sources for the reporting, analysis, and monitoring of data can be a treacherous undertaking, if you don't have a solution that connects to them right out of the box.
That's where JReview comes in. For almost two decades, life sciences companies, research organizations, in addition to the government, have relied on JReview for the comprehensive analysis and monitoring of clinical and pharmacovigilance data.
The analytics solution works with many Oracle Health Sciences applications, including Argus Safety, Oracle AERS, Oracle Clinical (OC), Remote Data Capture (RDC), Thesaurus Management System (TMS), InForm, Life Sciences Data Hub (LSH), and Clinical Development Center (CDC). JReview also works with non-Oracle solutions, such as ARISg, Medidata Rave, and SAS Drug Development.
In this slideshare, you will learn:
The features and benefits of JReview, including the new functionality in v10.0 (e.g., risk-based monitoring analytics reporting on the clinical data itself, etc.)
Benefits of using JReview for:
Reporting and query of your clinical data
Supplying internal and/or external users/sponsors information
Providing a secure way for your internal users and/or sponsor users to access the clinical data
Examples of how customers use JReview with OC/RDC
The implementation process and options
This Presentation is about why CRO/Vendor oversight should support sponsor regulatory requirements and cost containment.
Topics covered:
1.Importance of CRO/Vendor oversight in clinical trial management.
2. Identify the ways to integrate a risk-based approaches to CRO/Vendor oversight.
3. Developing a CRO/Vendor oversight plan with appropriate KPIs/metrics to be measured.
4. Use of tools and technology for accurate and timely reporting.
Pharmacovigilance "Module I" Pharmacovigilance system & their quality systemMohamed Raouf
This Module contains guidance for the establishment and maintenance of quality assured Pharmacovigilance systems for marketing authorization holders (MAHs) and national medicine authorities (NMAs).
Reference:- Guideline on good pharmacovigilance practices (GVP) version no.3
Signal detection and management activities are at the core of ensuring drug safety. A complex process of signal detection; through their validation and confirmation; analysis and prioritisation; and signal assessment to recommending action.
Find out more at out training: http://bit.ly/1W31NCF
Leverage Your EDC Solution to Mitigate Risk in Clinical Researchwww.datatrak.com
Every clinical trial is built upon a study protocol - the cornerstone of any trial. A well-defined and written study protocol provides the blueprint for the study, defining its purpose and goals. Studies have become more complex, creating more complicated study design, which can lead to making adherence more challenging for the study team and participants. The potential risk that some aspect of the study could be done incorrectly or not comply is inherent in all studies, but particularly present in complex research.
In order to help mitigate risk, advances in technology and the tools available today provide ways for us to mitigate some of the risk introduced in our clinical trials. While the study protocol is a cornerstone for the clinical trial, electronic data capture (EDC) applications have evolved in the broadest sense into technology solutions that provide us with a variety of tools to help mitigate risk.
Imputation techniques for missing data in clinical trialsNitin George
Missing data are unavoidable in clinical and epidemiological researches. Missing data leads to bias and loss of information in research analysis. Usually we are not aware of missing data techniques because we are depending on some software’s. The objective of this seminar is to introduce different missing data mechanisms and imputation techniques for missing data with the help of examples.
SO 9001:2015 requires to address the risks and opportunities in each process of the QMS.
The principal questions of risk management are:
- Key Risks Wording and
- Risk Treatment Areas
Examples for 'Management Review', 'Technical
Maintenance', and 'Control of Personnel' processes.
Use in ISO 9001:2015 Internal auditors and personnel training.
7 Step Guide To Successfully Managing a Change Project & Winning Stakeholders...Qualsys Ltd
70% of change management projects fail! 46% of senior managers agree that communication is the biggest issue.
From initial reluctance for people to do things differently, not understanding WHY a change is being implemented, denial of requirement for change, overcoming objections is unique to each project and each organisation, language barriers in global organisations and managing change roll-out across multiple sites.
Follow this 7 Step Guide to win stakeholders hearts and minds.
A key change in the 2015 revision is to establish a systematic approach to risk, rather than treating it as a single component of a quality management system.
This quality system procedure fills the Major gap in ISO 9001:2008 QSM documentation when transitioning to the new version of ISO 9001:2015; is based on the practical experience of the Enterprise Risk Management implementation, and corresponds to the requirements of ISO 9001:2015 and ISO 31000:2009
Risk Management Requirements Implementation in ISO 9001:2015 Clauses including Objects and Subjects of Control as well as recommended regulatory document (if provided in the Standard)
Integrating Clinical Operations and Clinical Data Management Through EDCwww.datatrak.com
When electronic data capture was first introduced there was a great deal of discussion surrounding how the technology would alter the roles of those in clinical operations and clinical data management. Through the review of a case study, we will explore how EDC is used as a tool to more tightly integrate clinical operational staffs with those in clinical data management resulting in a more streamlined process from study initiation to database lock.
Materials contain the full scope of the requirements of the new version of the ISO 9001:2015 in the form of a 89 slide MS Power Point presentation. Presentation can be used as a basis for a 24 hour ISO 9001:2015 Training courses for staff and/or internal auditors. Pictures and diagrams from the Presentation will be a good illustration for your Quality Management System Documentation updated in accordance with the ISO 9001:2015.
PECB Webinar: ISO 9001:2015 Transition – Understanding the changes PECB
This webinar was organized and presented by PECB International to learn about the changes of ISO 9001 standard, which is the world’s most popular standard for quality management.
In this webinar, you will learn about:
• Why ISO 9001 is changing?
• The new ISO 9001 structure
• What are the significant proposed changes?
• Understanding the difference between ISO 9001: 2008 and ISO 9001: 2015
• Planning the QMS transition
• Benefits of the new standard
This webinar was hosted by Lorika Bina, Course Development Manager for Quality Management Systems (QMS) at PECB International. She is in charge of developing and maintaining training courses related to QMS. Lorika holds a B.S. in Business Management from Rochester Institute of Technology.
Risk Based Monitoring in Clinical trials_Aishwarya Janjale.pptxClinosolIndia
Risk-Based Monitoring (RBM) in clinical trials represents a departure from traditional, one-size-fits-all monitoring approaches. This innovative strategy tailors monitoring activities to the specific risks associated with a trial, optimizing resource utilization and enhancing data quality. This article explores the key principles, benefits, and challenges of RBM, illustrating its transformative impact on the landscape of clinical trial oversight.
Key Principles:
Risk Identification and Assessment:
RBM begins with a comprehensive assessment of potential risks to data integrity, patient safety, and study endpoints. These risks are identified based on factors such as study complexity, patient population, and investigational product characteristics.
Best Practices to Risk Based Data Integrity at Data Integrity Conference, Lon...Bhaswat Chakraborty
Data integrity can be implemented using several approaches. One of the most effective ways to implement DI is a risk based approach. The speaker elaborates this.
Defining a Central Monitoring Capability: Sharing the Experience of TransCele...www.datatrak.com
Central monitoring, on-site monitoring, and off-site monitoring provide an integrated approach to clinical trial quality management. TransCelerate distinguishes central monitoring from other types of central data review activities and puts it in the context of an overall monitoring strategy. Any organization seeking to implement central monitoring will need people with the right skills, technology options that support a holistic review of study-related information, and adaptable processes. There are different approaches actively being used to implement central monitoring. This article provides a description of how companies are deploying central monitoring, as well as samples of the workflows that illustrate how some have implemented it. The desired outcomes include earlier, more predictive detection of quality issues. This paper describes the initial implementation steps designed to learn what organizational capabilities are necessary.
Overview of Risk Based Monitoring in Clinical Trial ProcessesEditorIJTSRD1
Risk based monitoring RBM has emerged as a transformative approach in clinical trial processes. This paper provides an overview of RBM and its impact on the field of clinical research. By moving away from traditional on site monitoring and adopting a targeted and efficient approach, RBM has demonstrated numerous benefits in terms of cost effectiveness, data quality, and patient safety. This abstract summarizes the key findings discussed in the conclusion. The proactive identification and management of risks throughout the trial lifecycle have led to improved decision making, increased study participant compliance, and enhanced overall trial success rates. With advancing technology, RBM approaches are expected to evolve further, allowing for greater optimization and streamlining of clinical trial processes. The abstract concludes by emphasizing the potential of risk based monitoring to shape the future of clinical research and contribute to the development of safe and effective therapies for patients worldwide. Kelam Himasri | Sankara Narayanan. K "Overview of Risk-Based Monitoring in Clinical Trial Processes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-3 , June 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd58586.pdf Paper URL: https://www.ijtsrd.com.com/pharmacy/pharmacy-practice/58586/overview-of-riskbased-monitoring-in-clinical-trial-processes/kelam-himasri
Role of Clinical Data Management in Risk-Based MonitoringClinosolIndia
Clinical Data Management (CDM) plays a significant role in the implementation of Risk-Based Monitoring (RBM) within clinical trials. RBM is an approach that focuses monitoring efforts on areas of highest risk, thereby optimizing resource allocation, enhancing data quality, and ensuring patient safety. Here's how CDM contributes to RBM
Risk-based Monitoring Strategies for Improved Clinical Trial PerformanceCognizant
To address draft regulatory guidance for risk-based clinical trial monitoring, sponsors should consider strategies that utilize social, mobile, analytics and cloud technologies to create responsive methodologies that satisfy both the spirit and the letter of these new guidelines.
TRI was founded as a subsidiary of Triumph Consultancy Services in 2013, following 12 years of consulting to the clinical trial industry. TRI has been evaluating the specific challenges facing the industry when implementing a risk-based monitoring strategy and the various approaches and products being utilized by organizations as they move into the RBM arena. This paper aims to summarize our findings and provide guidance as to how the main challenges can be overcome.
Data Management: Alternative Models for Source Data VerificationKCR
KCR's presentation on alternative models for Source Data Verification (SDV) Risk Based Monitoring (RBM) is evolving into a standard expectation for SDV and study management in general.
Role of Clinical Data Management in Clinical ResearchClinosolIndia
Clinical data management (CDM) plays a critical role in clinical research by ensuring the accuracy, completeness, and consistency of clinical trial data. Here are some key roles and responsibilities of CDM in clinical research:
Data collection: CDM is responsible for designing and implementing data collection procedures to ensure that all data is collected in a standardized and consistent manner.
Data quality control: CDM is responsible for implementing quality control procedures to ensure that data is accurate, complete, and consistent across all study sites.
Data cleaning: CDM is responsible for identifying and resolving data discrepancies or errors in the data that may impact the analysis of study results.
Data analysis: CDM is responsible for performing statistical analyses of the data collected in the clinical trial, which are used to evaluate the safety and efficacy of the investigational product.
Database management: CDM is responsible for developing and maintaining the study database, which is used to store and manage all data collected in the clinical trial.
Study documentation: CDM is responsible for ensuring that all study documentation is accurate, complete, and up-to-date, including study protocols, data collection forms, and standard operating procedures.
Compliance with regulatory requirements: CDM is responsible for ensuring that all data collected in the clinical trial is compliant with regulatory requirements and industry standards
Sharing and standards christopher hart - clinical innovation and partnering...Christopher Hart
Acknowledging the increasing need for cooperation and collaboration in data sharing and access. Describing the complexity that this can bring. Then describing some of the ways to simplify that.
Originally presented at Terrapin's Clinical innovation and partnering world March 8-9 2017.
http://www.terrapinn.com/conference/innovation-and-partnering/index.stm
Dale W. Usner, Ph.D., President of SDC, co-authored the article "The Clinical Data Management Process," which was published in the November/December 2014 issue of Retina Today.
The article reviews the clinical data management (CDM) process in its entirety - from protocol review and CRF design through database lock. Describing the roles of various CDM team members and tips for efficient data management practices, "The Clinical Data Management Process" provides a comprehensive yet concise summary of this essential function in clinical trial research, specifically with respect to retina trials.
Will I see you in Philadelphia next week? In case you don’t already know, I’ve been invited to speak at CBI’s Risk-Based Trial Management and Monitoring Conference.
I’m going to be sharing real world, pragmatic guidance that you can implement immediately to effectively influence your clinical trial performance.
My presentation, Practical Usage of KRIs and QTLs in Clinical Trials, will take place next Thursday, November 14th at 9:45am. I’m going to share with you:
• How to identify and close the gaps between risks and KRIs
• What the difference is between KRIs and QTLs, and how to use them effectively
• Useful examples of Centralized Monitoring findings from open data
• How to detect, combat and prevent fraud and sloppiness at an early stage
• How AI and ML advance risk-based approaches
So I can’t wait to see you at this informative and fun-filled industry expert forum,
– Artem Andrianov, CEO Cyntegrity
Similar to How To Optimize Your EDC Solution For Risk Based Monitoring (20)
Technology Considerations to Enable the Risk-Based Monitoring Methodologywww.datatrak.com
TransCelerate BioPharma Inc developed a methodology based on the notion that shifting monitoring processes from an excessive concentration on source data verification to comprehensive risk-driven monitoring will increase efficiencies and enhance patient
safety and data integrity while maintaining adherence to good clinical practice regulations. This philosophical shift in monitoring processes employs the addition of centralized and off-site mechanisms to monitor important trial parameters holistically, and it uses adaptive on-site monitoring to further support site processes, subject safety, and data quality. The main tenet is to use available data to monitor, assess, and mitigate the overall risk associated with clinical trials. Having the right technology is critical to collect and aggregate data, provide analytical capabilities, and track issues to demonstrate that a thorough quality management framework is in place. This paper lays out the high-level considerations when designing and building an integrated technology solution that will aid in scaling the methodology across an organization’s portfolio.
View this recorded webinar to hear an overview of the Guidance Document on Electronic Source Data in Clinical Investigations and its practical implementation.
eSource: A Clinical Data Manager's Tale of Three Studieswww.datatrak.com
‘eSource: A Clinical Data Manager’s Tale of Three Studies’ highlights the challenges and benefits of eSource studies, and a look to the potential future. With the continuing adoption of eClinical solutions in clinical research, the need to understand, address, and utilize the time and cost savings benefits of eSource will grow increasingly important.
Use this template to create your Risk Based Monitoring guideline. Make sure you review this in conjunction with the Risk Based Monitoring in Practice presentation for the best possible result.
Niki Kutac, Director Product Management, delivered this presentation at the ACRP 2014 Conference where it was rated the #1 Session of the Event. Learn how to implement gamification to produce the desired end result.
Utilizing a Unified Platform to Bridge Geographical and Departmental Gaps Whi...www.datatrak.com
Presentation discusses:
The Drug Development Process
The Drug Development Paradox
Regulations and Guidelines
Standards - CDISC
Leveraging Technology
Resource Management
The FDA Guidance of a Risk-Based Approach to Monitoring as Viewed By CDMwww.datatrak.com
Historical Perspectives in CDM
Overview of the Draft Guidance
A Risked-Based Approach
Challenges to a Risk-Based Approach
Supporting a Risked-Based Approach
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
How To Optimize Your EDC Solution For Risk Based Monitoring
1. October 22, 2014
How to Optimize Your EDC Solution for Risk Based Monitoring
2. Confidential –
Your Speakers
►Penelope Manasco, MD
•Dr. Manasco‘s clinical research experience spans 25 years at the National Institutes of Health, Burroughs Wellcome, GlaxoWellcome, and GlaxoSmithKline (GSK). Dr. Manasco has also worked as an Investigator, Medical Monitor, Clinical Program Leader, and Pharmaceutical Executive (Vice-President). For the past 12 years, she has focused on enhancing the efficiency of the Clinical Research process through the use of technology and new research methods. She founded MANA Consulting (MANA) in 2012. MANA pioneered remote trial management and Risk Based Monitoring through the use of its Paperless Trials. In 2013, Dr. Manasco worked with a group of clinical researchers to develop Monitor Competencies for Risk Based Monitoring and has released a self assessment of monitor competencies that is offered free to the industry.
►Bill Gluck, Ph.D.
•Dr. Gluck has over 30 years of expertise in clinical research, with experience in sponsors, CROs, and with DATATRAK in a variety of roles. Dr. Gluck is also the Program Director for the Clinical Trials Research and Medical Product Safety/Pharmacovigilance programs at Durham Technical Community College. Dr. Gluck earned his Bachelor of Science Degree at the University of Scranton and Master and Ph.D. degrees from North Dakota State University.
2
3. Confidential –
Agenda
►The Connection: EDC + RBM
•Guidance Document Review
•Evolving Roles and Skill-Sets
►Leveraging EDC Tools
►Preparing for Risk-Based Monitoring
•Why
•Key Components to Implementing the RBM Approach
•To SDV or Not To SDV……
•New Competencies New Roles
•Remote Review and Assessments
•Optimization through Education
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4. Confidential –
4
http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm
History of Guidance Document
• Replaced 1988 Guidance on Monitoring
• New RBM Draft Guidance August 2011
• Final RBM Guidance August 2013
5. Confidential –
5
Guidance Document Key Points:
Flexibility to choose optimal combination of monitoring strategies
Appropriate use of centralized monitoring and technological advances
Patient safety and rights are critical
Stronger support of risk-based monitoring approaches are clearly stated
See technology as an enabler of risk-based monitoring
Data quality is critical
Expect risk-based monitoring to enhance data quality
6. Confidential –
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Approaches to Monitoring
Traditional Clinical/Efficacy Trials – On-Site Monitoring with typically 100% SDV
Government/Academic Studies – Minimal On- Site Monitoring Visits (usually 2-3 per year)
NIH and Outcomes Research Studies - Critical Outcomes Trials: No On-Site Monitoring
7. Confidential –
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The EDC Toolbox
Clinical Operations working together with CDM
Focus on critical data
Identify Systemic Issues
Align with the Site Monitoring Plan
Enabler: EDC Tools
Targeted Configuration and Functionality to Match Study Designs
Identify and use the tools that are part of the EDC application
Evolving Skill-Sets
Learn to Leverage the Tools and technology in the EDC Toolbox
Enhance teaching and communication skills
8. Confidential –
8
Common Metrics
Completeness
Page Report
Time to Entry
Time to SDV
Time to Sign
Time to Resolve Queries
Quality
Query Counts
9. Confidential –
9
Implementing A Risk-Based Approach That Optimizes the Benefits of EDC by Focusing on Education
10. Confidential –
Quote
“I did then what I knew how to do. Now that I know better, I do better.” ― Maya Angelou
“The technology itself is not transformative. It’s the school, the pedagogy, that is transformative.”
– Tanya Byron
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11. Confidential –
FDA Guidance For Industry (Aug 2013): Oversight of Clinical Investigations - A Risk-Based Approach to Monitoring
The overarching goal of the guidance is “to enhance human subject protection and the quality of clinical trial data by focusing sponsor oversight on the most important aspects of study conduct and reporting.”
Despite 100% SDV,
1.Top 10 Pharma cited for inadequate oversight of Study Drug Dosing
2.Top 10 Pharma and CRO cited for not identifying suspected fraud in study drug administration
FDA 483
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12. Confidential –
FDA Guidance For Industry (Aug 2013): Oversight of Clinical Investigations - A Risk-Based Approach to Monitoring
►Multiple approaches are acceptable
►FDA Encourages greater use of centralized monitoring methods (remote data review) where appropriate.
►Focus on the most critical data elements and processes to achieve study objectives.
•More likely to ensure subject protection and overall study and data quality than routine visits to all clinical sites and 100% SDV.
►Electronic systems enable remote near real-time review of data and documents
•Statistical and data visualizations are now possible
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13. Confidential –
Key Components to Risk Based Monitoring Implementation
13
People
with New Skills
EDC/ESource/ eDiary/
eConsent
ESF/eTMF
Clinical Data Warehouse/ Reporting Tools
Operational Reports
Metrics Reports
Safety Reports
LABS
IVR/IWR
CTMS
Technology:
New Data from Technology/ New Technologies
Processes: New Processes
14. Confidential –
TranCelerate View of SDV and SDR
►“SDV, commonly known as ‘transcription checking’
•“as a quality control measure it was the opinion of the RBM working group that SDV as purely a transcription checking exercise was not valuable.”1
►Source Data Review (SDR), which puts the focus on review of source documentation in the context of a comprehensive review of the quality of the data. “SDR is not a comparison of source data against CRF data.”1
1Transcelerate Biopharma Inc, (2014) Risk-Based Monitoring Update-Volume 1. Pages 2-3. http://www.transceleratebiopharmainc.com/wp- content/uploads/2014/01/TransCelerate-RBM-Update-Volume-I-FINAL-27JAN2014.pdf
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15. Confidential –
Why Not Source Data Verification?
►Tedious
►Doesn’t require any special skills
►Extremely costly
►SDV doesn’t add value:
•90-95% of on-site monitoring findings can be identified using central monitoring strategies
•95% of transcription errors detected during SDV have no impact on study outcome
•Monitoring costs are the highest single item (excluding investigator payments).
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19. Confidential –
Critical Data
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Low error rate on
Baseline characteristics
No significant effect on Study Outcome
Smaller error rate on
key efficacy endpoint,
study procedure, dosing
BIG effect on study outcomes
20. Confidential –
What Are Critical Data? Affect outcome, Integrity, or Human Subject Protection
Verification that informed consent was obtained appropriately
Adherence to protocol eligibility criteria and conduct Key efficacy and safety data
Investigational Product Management
Informed Consent
Protocol
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21. Confidential –
RBM: What Is Different?
►Review Timing - Immediate
►SDV - Little - Only key data items not collected electronically
►Type of review - Integrated/Three Tier
•Data Management
•Risk Based Monitor
•Trend Analysis
►Type of data reviewed - More comprehensive
•Operational Metrics
•Audit Trail Data
•Query Trail
•Integrated views of data across data sets
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22. Confidential –
RBM: What Is Different?
►Technology
•EDC to collect source questions
•Clinical data warehouse/Reports
–Standardization
•eTMF/eISF to enable remote review of informed consent; management of site documents remotely
►Interaction with existing processes
•RBM review with issue identification provided “behind the scenes” with issue logs provided to monitors
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24. Confidential –
New Competencies
►Evaluate clinical data from an individual subject to assure subject is appropriate—Source Data Review
►Perform centralized review and interpret data on site performance in comparison with other sites
►Understand Clinical Trial Technology
►Develop consistent strategies for assessing and resolving problems. This includes root cause identification, remediation, and evaluation.
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25. Confidential –
Monitor Competency Results
•https://www.surveymonkey.com/s/MonitorCompetencyA
Respondents:
25
Yes
No
Have you ever worked as a monitor
109
9
Have you ever worked as a Data Manager
15
101
0-2 years
>2-5 years
>5-10 years
>10 years
How many years did you monitor trials?
15
36
21
39
26. Confidential –
Survey Summary
►The competencies specific to the new skills required for Risk Based Monitoring were most often missed.
►More questions about clinical trials technology may be needed to assess knowledge of this competency.
►Many monitors enjoyed the challenge of taking the survey and appear eager to learn the new aspects of the monitor’s role.
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27. Confidential –
The New Monitor’s Role
►The additional competencies and responsibilities for monitors result in a more significant role in interpreting analytic data to identify
•quality issues,
•determining root cause,
•developing, and evaluating intervention strategies.
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28. Confidential –
Site Management with Risk Based Monitoring
Site Performance Across Sites
Site Performance Across Subjects
Subject SDR
Subject SDR
Subject SDR
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29. Confidential –
Demographics
IP Administration—easy to see AE relationship to IP start
Start/Stop of AE’s—easy to identify if no stop date
Timing of Start and Stop of Prior and Con Meds easily visible As well as relationship to AE’s
Study Timeline allows orientation of subjects based on relative day
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31. Confidential –
Paper Electronic Documents Remote Review
Any paper document can be converted to a certified electronic copy.
Informed Consent
Informed Consent
Informed Consent
Informed Consent
Informed Consent
Informed Consent
Scan to convert
To electronic version
(PDF)
Confirm paper and electronic versions are the same
Electronically Sign
Confirming they are the same
Date/Time of signature and attestation wording attached to document
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32. Confidential –
Remote Verification of Consent and other Study Documents
►Informed Consent:
►Systems
•The sponsor can set up an internet portal where site staff can upload the signed consent forms, which can then be accessed by the Monitor.
•Electronic informed consent may also be considered.
►Processes
•Complete review of Informed Consent (IC) can be done within day(s) of subject visit.
•Complete review and any verification of Source can be done remotely. All source in electronic format remains part of the ISF.
•Metrics on site document issues feeds into overall site performance.
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33. Confidential –
Reviewing Site Performance Across Subjects and Across Sites
►Data presented in tables or graphs
•No one right way to look at data:
–Some people can “see differences” in tables
–Others can “see differences in graphs
►Need to understand what you are looking at (Titles, Axes, Scale of Axes, Timeframe)
►Triggers vs. Outliers
►Normalizing Data
33
34. Confidential –
Site Performance Across Subjects
►Done in combination with Data Management
►Are Data too Organized/Regular (e.g. end number of VS always 2,6)?
►Are assessment times reasonable for study staffing?
•Can 3 subjects all have their VS taken at 9:00 a.m. on 7/14/14 by the same person
•Can multiple subjects all have infusions administered at the same time by the same person
►Is the dosing correct for all subjects?
►Is there a pattern of missed assessments?
►Are there issues with the informed consent process?
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36. Confidential –
Study Start-Up
Training
Site Mgmt
Resourcing
Investigational Product
Safety Assessments
Deviations
Study Disposition
Operations
Protocol
Documentation
Data Processing
Technology
Therapeutic/Trial Design Specific Risks
Data/Documents
RBM Domains
How is the site performing compared to other sites across these domains?
36
37. Confidential –
Risk Based Monitoring Domains to Review
•High Risk Areas
–Primary Efficacy Endpoint(s)
–Safety reporting from Subjects
–Dosing by Subject
•Enrollment
•Data Entry (only for EDC, not eSource)
•Safety
•Data Quality (including Query responses)
•Informed Consent/Human Subject’s protection
•Document Issues
•Deviations
•Investigational Product Management*
•Premature Discontinuation
•Site Staff Turnover
37
Common to all studies
Study Specific
39. Confidential –
Risk Based Monitoring- High Risk/Critical Data—Rater Performance
39
40. Confidential –
Determining Root Cause
Site Number
Issues
Potential Root Causes
Intervention
005
Inconsistent Ratings that don’t conform to natural history of disease
•Different person doing ratings on different days
•Person did not rate subject correctly.
•Is the PI doing the ratings or someone else using ID?
•Two lesions rated together
•Emphasize importance of transition rating on day before
•Additional training issue
•Significant site performance issue—for cause visit.
•Nothing more needed
40
40
41. Confidential –
Follow Up is Critical
Site #
Issue
Root Cause
Intervention
Follow Up
005
Inconsistent Ratings
Ratings on different days by different raters
Review transition process
Review ratings at site where there is a transition between raters and check for better consistency
41
41
42. Confidential –
Clinical Data Warehouse
J Review
QlickView
Site Enters Data into EDC
Monitor Reviews data in EDC
and performs SDV at Site
Laboratory Data Sets
Third Party Vendor
Sponsor Project Managers
Risk Based Monitoring
Evaluation/Interpretation/Trend Analysis
Issue Log Development/ Potential Root Cause Analysis
Confirmation of Intervention Success/Issue resolution
Data Manager Review
Monitor works with Site to
Confirm Root Cause, Perform
Interventions
Additional issues identified with RBM now followed to conclusion by Monitor
EDC data
PRO Data Sets
Sponsor Standard Process
New Inputs into Sponsor Process
IVR Data
RBM Process
Data Mapping for Standardization
42
43. Confidential –
Summary
►Risk Based Monitoring requires:
•Expanded Skill sets for Monitors doing remote monitoring
•New Collaborative Working Relationships
•New uses of technology and data
•New processes.
►Adoption can be accomplished within current organizational structures with a separate workflow for review
►Training programs are in development for monitors- to be launched in Q1 2015.
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45. Confidential –
Contact Information
►Penelope Manasco, MD
•pmanasco@manaconsulting.co
►Bill Gluck, Ph.D.
•Bill.Gluck@DATATRAK.com
►General Questions about DATATRAK
•Dorothy.Radke@DATATRAK.com
►Find Us Online
•www.DATATRAK.com / www.manaconsulting.com
•http://www.slideshare.net/DATATRAK
•@DATATRAKinc on Twitter
•https://www.linkedin.com/company/datatrak-international
45
46. from Concept to Cure
with DATATRAK ONE
DATATRAK International
Cleveland, Ohio
Bryan, Texas
Cary, North Carolina London, UK
888.677.DATA (3282) Toll Free
www.datatrak.com
®
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