This document provides guidance on planning and implementing a clinical trial management system (CTMS). It discusses signs that a CTMS is needed, benefits of a CTMS, preparing to explore CTMS options by analyzing needs and identifying key stakeholders. It also covers developing requirements, selecting a system, choosing an implementation partner, and post-implementation support. The goal is to select and implement a CTMS in a strategic manner to reduce costs, increase efficiency and productivity for clinical trial management.
Gone are the days of using spreadsheets to manage clinical trials. Fortunately, a clinical trial management system (CTMS) such as Oracle Siebel CTMS, offers an effective method for streamlining business processes, reducing cost and saving time.
Whether you are a sponsor running global trials or a research organization conducting hundreds of studies, Perficient’s Param Singh, Director of Clinical Trial Management Solutions, will teach you:
What a CTMS is and who needs one
Key functions of a CTMS
CTMS selection process
System types and implementation options
Best practices
10 Things to Consider When Building a CTMS Business CasePerficient, Inc.
Sponsors and research organizations are often tasked with building a business case for a clinical trial management system (CTMS) before they even evaluate the various solutions in the marketplace.
After multiple successful Oracle Siebel CTMS implementations, Perficient has identified 10 ways you can benefit from a CTMS solution.
In this slideshare we share information that you can leverage as you develop a business case for a CTMS.
We also demonstrate the two most popular CTMS benefits and corresponding features.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
Introduction to Data Management Plan in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
TSDP tells about the essential documents that are required for the #conduct of a clinical trial. For #regulatory medical writing training, contact hello@turacoz.in.
Using Vault eTMF Milestones and EDLs to Support Inspection ReadinessVeeva Systems
Hear how Daiichi Sankyo is using milestones and expected document lists (EDLs) to enable ongoing inspection readiness and proactive TMF management and oversight.
Explaining the importance of a database lock in clinical researchTrialJoin
One of the most crucial aspects of research is clinical data management or CDM. Proper CDM will generate results with excellent quality, integrity, and reliability. Quality data is essential in order to support the final conclusions of a certain study.
The person responsible for this area of research is called a clinical data manager. This job position can be filled by a PI, a study coordinator, or a CRA. No matter who fills this position at your site, data management has to be done promptly and correctly in order to generate the best results. Aside from all the other reasons why data management is so important, it’s also what determines the future IP (investigational product) development.
Gone are the days of using spreadsheets to manage clinical trials. Fortunately, a clinical trial management system (CTMS) such as Oracle Siebel CTMS, offers an effective method for streamlining business processes, reducing cost and saving time.
Whether you are a sponsor running global trials or a research organization conducting hundreds of studies, Perficient’s Param Singh, Director of Clinical Trial Management Solutions, will teach you:
What a CTMS is and who needs one
Key functions of a CTMS
CTMS selection process
System types and implementation options
Best practices
10 Things to Consider When Building a CTMS Business CasePerficient, Inc.
Sponsors and research organizations are often tasked with building a business case for a clinical trial management system (CTMS) before they even evaluate the various solutions in the marketplace.
After multiple successful Oracle Siebel CTMS implementations, Perficient has identified 10 ways you can benefit from a CTMS solution.
In this slideshare we share information that you can leverage as you develop a business case for a CTMS.
We also demonstrate the two most popular CTMS benefits and corresponding features.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
Introduction to Data Management Plan in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
TSDP tells about the essential documents that are required for the #conduct of a clinical trial. For #regulatory medical writing training, contact hello@turacoz.in.
Using Vault eTMF Milestones and EDLs to Support Inspection ReadinessVeeva Systems
Hear how Daiichi Sankyo is using milestones and expected document lists (EDLs) to enable ongoing inspection readiness and proactive TMF management and oversight.
Explaining the importance of a database lock in clinical researchTrialJoin
One of the most crucial aspects of research is clinical data management or CDM. Proper CDM will generate results with excellent quality, integrity, and reliability. Quality data is essential in order to support the final conclusions of a certain study.
The person responsible for this area of research is called a clinical data manager. This job position can be filled by a PI, a study coordinator, or a CRA. No matter who fills this position at your site, data management has to be done promptly and correctly in order to generate the best results. Aside from all the other reasons why data management is so important, it’s also what determines the future IP (investigational product) development.
Essential Regulatory Documents in Clinical TrialsTrialJoin
The term ‘’essential documents’’ refers to the documents which, according to the ICH-GCP Guidelines, serve to evaluate the trial conducted, data quality and integrity. These documents are contained in the Trial Master File and are otherwise known as Regulatory Documents. Such documents are usually the important agreements, contracts, delegation logs, training logs, etc.
Maintaining and storing these essential regulatory documents is an important practice in clinical research. The proper filing and organization of these documents can greatly improve a clinical trial management. Usually, Regulatory Documents will be stored in a binder (or binders) that’s provided to the site for that specific study.
Filling out these documents and filing them properly is the site’s and especially the PI’s responsibility. Storing them properly is also the site’s responsibility, not the CRA’s. In any case, after the study is over, the sponsor or the CRO will inform the site if they should keep the originals or make copies of the Regulatory Documents for storage. Similarly, the sponsor or the CRO will also tell the site how long they need the documents to be kept and stored on-site.
Database Designing in Clinical Data ManagementClinosolIndia
When designing a Clinical Data Management (CDM) database, several key considerations should be taken into account to ensure efficient data capture, storage, and retrieval. Here are some important aspects to consider in CDM database design:
Define Study Requirements:
Understand the specific requirements of the study and the data to be collected. This includes variables, data types, formats, and any specific rules or calculations required for data validation and derivation. Consult with the study team and stakeholders to determine the necessary data elements.
Data Model Design:
Develop a data model that represents the structure and relationships of the data. Use standard data models, such as CDISC (Clinical Data Interchange Standards Consortium) standards, as a foundation. Define entities (e.g., patients, visits, assessments) and attributes (e.g., demographics, lab results) and establish relationships between them.
Data Dictionary:
Create a comprehensive data dictionary that provides a detailed description of each data element, including its name, definition, data type, length, format, allowable values, and any validation or derivation rules. The data dictionary serves as a reference for data entry and validation checks.
Database Schema:
Design the database schema based on the data model and data dictionary. Identify the tables, fields, and relationships needed to store the data. Determine primary and foreign keys to establish relationships between tables. Normalize the schema to reduce redundancy and improve data integrity.
Data Capture Forms:
Design user-friendly data capture forms to facilitate efficient and accurate data entry. Align the form layout with the data model and data dictionary. Include necessary data validation checks and provide clear instructions or prompts for data entry.
Data Validation and Quality Checks:
Incorporate data validation checks to ensure data accuracy and completeness. Implement range checks, format checks, consistency checks, and logic checks to identify and prevent data entry errors. Include data quality control processes to identify and resolve data discrepancies or anomalies.
Security and Access Controls:
Implement appropriate security measures to protect the confidentiality, integrity, and availability of the data. Define user roles and access levels to control data access and modification. Employ encryption, authentication, and audit trails to ensure data security and compliance with regulatory requirements.
Data Extraction and Reporting:
Consider the need for data extraction and reporting capabilities. Design mechanisms to extract data from the database for analysis or reporting purposes. Implement data export functionalities in commonly used formats, such as CSV or Excel, or integrate with reporting tools or systems.
Six Elements of the QC Process.
To learn more about the QC Process join us for a complimentary webinar ( March 29 @11am EST) where we will follow a TMF document through its life cycle from creation through inspection: Learn how TMF documents should maneuver through TMF submissions and quality checks utilizing well-developed processes, tools and metrics to ensure the TMF is ready when the inspectors come knocking.
Presented by: Jackie Morrill - Director of Clinical Operations
Register Here: http://bit.ly/2kqA6s8
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.
DIA Reference Model a Guidance for Good Document Management and eTMFSagar Ghotekar
The TMF Reference Model is managed under the Drug Information Association (DIA) Document and Records Management Community. The TMF Reference Model Provides Standardized Taxonomy and Metadata & outlines a reference definition of TMF content using standard Nomenclature.
Clinical Data Management: Best Practices and Key ConsiderationsClinosolIndia
Clinical data management (CDM) is a critical component of clinical research, involving the collection, processing, and analysis of data generated during clinical trials. Implementing best practices and considering key considerations is essential for ensuring data quality, integrity, and regulatory compliance. Here are some important considerations and best practices in clinical data management:
Data Standardization: Standardizing data collection and documentation across study sites is crucial for ensuring consistency and facilitating data analysis. Develop standardized data collection forms, case report forms (CRFs), and electronic data capture (EDC) systems that capture relevant data elements in a consistent manner.
Data Validation and Quality Control: Implement robust data validation procedures to ensure the accuracy and completeness of collected data. Conduct thorough quality control checks, including data validation checks, range checks, and consistency checks, to identify and resolve data discrepancies or errors.
Data Security and Privacy: Ensure data security and protect participant privacy by implementing appropriate measures such as data encryption, secure data transfer protocols, access controls, and adherence to applicable data protection regulations like GDPR or HIPAA.
Data Monitoring and Cleaning: Regularly monitor data collection processes to identify and address data discrepancies, missing data, or outliers. Implement data cleaning procedures to identify and resolve data errors, inconsistencies, and outliers that may impact the integrity and reliability of the study data.
Data Traceability and Audit Trail: Maintain a comprehensive audit trail that captures all changes and activities related to data entry, data modifications, and data review. This ensures data traceability and facilitates data validation and regulatory inspections.
Standard Operating Procedures (SOPs): Develop and adhere to well-defined SOPs for data management activities. SOPs should cover all aspects of data collection, processing, validation, cleaning, and archiving, ensuring consistency and adherence to regulatory requirements.
Study setup_Clinical Data Management_Katalyst HLSKatalyst HLS
Introduction to Study Setup in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Decentralized Clinical Trials, presentaiton by Craig Lipset for mHealth IsraelLevi Shapiro
Decentralized Clinical Trials, presentaiton by Craig Lipset for mHealth Israel, April 20, 2021. Origin Story: Centralization Enables Decentralization. Analogous potential for centralization
leading to decentralization in clinical trials. Decentralization: Purpose and potential benefits, including resilience and
business continuity. Pre-Pandemic DCT Timeline: 17-year History Prior to COVID-19. Seasons of Decentralization in 2020. Spring of Continuity, Summer of Restarts, Fall of Commitment, Winter of Pathways to Scale. 79% of sponsors / CROs increasing DCT. 90% of participants experiencing change. 75% focus on going hybrid. 73% of Sites Will continue to use telemedicine beyond the pandemic. 76% have accelerated their DCT Strategies.Leading Implementation Strategy: Pairing DCT Toolkit to Study Needs. Identify the decentralized research methods and tools needed by the medicine portfolio. Ensure aligned SOPs & training, identify new partners, modify protocols/templates. Pair the “right” method/tool to each study
based upon diverse criteria. Barriers to Scaled Adoption of Decentralized Trials: Regulatory ambiguity, Global variability, Technology interop & data flow, Investigator & patient readiness, Endpoint limitations, Organization culture. Forecasts and Futures. Choice & Flexibility for Participants on a Visit-by-Visit Basis. Research Sites Empowered to Use Their Existing Technology. New Opportunities to Engage Treating Physicians Enables Research as a Care Option. Observational
“All-Comer” Studies and Platform Trials with DCT Bring Research to People.
3 Ways to Implement a Clinical Trial Management SystemPerficient, Inc.
A clinical trial management system (CTMS) can be a real lifesaver when it comes to managing studies. But the implementation process can be a huge headache if not handled well. Don’t let that headache happen to you!
Perficient’s Param Singh, director of clinical trial management solutions, discussed three approaches to implementing a CTMS. He covered the pros and cons of each approach, as well as what factors to consider when choosing the right approach for your organization.
Essential Regulatory Documents in Clinical TrialsTrialJoin
The term ‘’essential documents’’ refers to the documents which, according to the ICH-GCP Guidelines, serve to evaluate the trial conducted, data quality and integrity. These documents are contained in the Trial Master File and are otherwise known as Regulatory Documents. Such documents are usually the important agreements, contracts, delegation logs, training logs, etc.
Maintaining and storing these essential regulatory documents is an important practice in clinical research. The proper filing and organization of these documents can greatly improve a clinical trial management. Usually, Regulatory Documents will be stored in a binder (or binders) that’s provided to the site for that specific study.
Filling out these documents and filing them properly is the site’s and especially the PI’s responsibility. Storing them properly is also the site’s responsibility, not the CRA’s. In any case, after the study is over, the sponsor or the CRO will inform the site if they should keep the originals or make copies of the Regulatory Documents for storage. Similarly, the sponsor or the CRO will also tell the site how long they need the documents to be kept and stored on-site.
Database Designing in Clinical Data ManagementClinosolIndia
When designing a Clinical Data Management (CDM) database, several key considerations should be taken into account to ensure efficient data capture, storage, and retrieval. Here are some important aspects to consider in CDM database design:
Define Study Requirements:
Understand the specific requirements of the study and the data to be collected. This includes variables, data types, formats, and any specific rules or calculations required for data validation and derivation. Consult with the study team and stakeholders to determine the necessary data elements.
Data Model Design:
Develop a data model that represents the structure and relationships of the data. Use standard data models, such as CDISC (Clinical Data Interchange Standards Consortium) standards, as a foundation. Define entities (e.g., patients, visits, assessments) and attributes (e.g., demographics, lab results) and establish relationships between them.
Data Dictionary:
Create a comprehensive data dictionary that provides a detailed description of each data element, including its name, definition, data type, length, format, allowable values, and any validation or derivation rules. The data dictionary serves as a reference for data entry and validation checks.
Database Schema:
Design the database schema based on the data model and data dictionary. Identify the tables, fields, and relationships needed to store the data. Determine primary and foreign keys to establish relationships between tables. Normalize the schema to reduce redundancy and improve data integrity.
Data Capture Forms:
Design user-friendly data capture forms to facilitate efficient and accurate data entry. Align the form layout with the data model and data dictionary. Include necessary data validation checks and provide clear instructions or prompts for data entry.
Data Validation and Quality Checks:
Incorporate data validation checks to ensure data accuracy and completeness. Implement range checks, format checks, consistency checks, and logic checks to identify and prevent data entry errors. Include data quality control processes to identify and resolve data discrepancies or anomalies.
Security and Access Controls:
Implement appropriate security measures to protect the confidentiality, integrity, and availability of the data. Define user roles and access levels to control data access and modification. Employ encryption, authentication, and audit trails to ensure data security and compliance with regulatory requirements.
Data Extraction and Reporting:
Consider the need for data extraction and reporting capabilities. Design mechanisms to extract data from the database for analysis or reporting purposes. Implement data export functionalities in commonly used formats, such as CSV or Excel, or integrate with reporting tools or systems.
Six Elements of the QC Process.
To learn more about the QC Process join us for a complimentary webinar ( March 29 @11am EST) where we will follow a TMF document through its life cycle from creation through inspection: Learn how TMF documents should maneuver through TMF submissions and quality checks utilizing well-developed processes, tools and metrics to ensure the TMF is ready when the inspectors come knocking.
Presented by: Jackie Morrill - Director of Clinical Operations
Register Here: http://bit.ly/2kqA6s8
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.
DIA Reference Model a Guidance for Good Document Management and eTMFSagar Ghotekar
The TMF Reference Model is managed under the Drug Information Association (DIA) Document and Records Management Community. The TMF Reference Model Provides Standardized Taxonomy and Metadata & outlines a reference definition of TMF content using standard Nomenclature.
Clinical Data Management: Best Practices and Key ConsiderationsClinosolIndia
Clinical data management (CDM) is a critical component of clinical research, involving the collection, processing, and analysis of data generated during clinical trials. Implementing best practices and considering key considerations is essential for ensuring data quality, integrity, and regulatory compliance. Here are some important considerations and best practices in clinical data management:
Data Standardization: Standardizing data collection and documentation across study sites is crucial for ensuring consistency and facilitating data analysis. Develop standardized data collection forms, case report forms (CRFs), and electronic data capture (EDC) systems that capture relevant data elements in a consistent manner.
Data Validation and Quality Control: Implement robust data validation procedures to ensure the accuracy and completeness of collected data. Conduct thorough quality control checks, including data validation checks, range checks, and consistency checks, to identify and resolve data discrepancies or errors.
Data Security and Privacy: Ensure data security and protect participant privacy by implementing appropriate measures such as data encryption, secure data transfer protocols, access controls, and adherence to applicable data protection regulations like GDPR or HIPAA.
Data Monitoring and Cleaning: Regularly monitor data collection processes to identify and address data discrepancies, missing data, or outliers. Implement data cleaning procedures to identify and resolve data errors, inconsistencies, and outliers that may impact the integrity and reliability of the study data.
Data Traceability and Audit Trail: Maintain a comprehensive audit trail that captures all changes and activities related to data entry, data modifications, and data review. This ensures data traceability and facilitates data validation and regulatory inspections.
Standard Operating Procedures (SOPs): Develop and adhere to well-defined SOPs for data management activities. SOPs should cover all aspects of data collection, processing, validation, cleaning, and archiving, ensuring consistency and adherence to regulatory requirements.
Study setup_Clinical Data Management_Katalyst HLSKatalyst HLS
Introduction to Study Setup in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Decentralized Clinical Trials, presentaiton by Craig Lipset for mHealth IsraelLevi Shapiro
Decentralized Clinical Trials, presentaiton by Craig Lipset for mHealth Israel, April 20, 2021. Origin Story: Centralization Enables Decentralization. Analogous potential for centralization
leading to decentralization in clinical trials. Decentralization: Purpose and potential benefits, including resilience and
business continuity. Pre-Pandemic DCT Timeline: 17-year History Prior to COVID-19. Seasons of Decentralization in 2020. Spring of Continuity, Summer of Restarts, Fall of Commitment, Winter of Pathways to Scale. 79% of sponsors / CROs increasing DCT. 90% of participants experiencing change. 75% focus on going hybrid. 73% of Sites Will continue to use telemedicine beyond the pandemic. 76% have accelerated their DCT Strategies.Leading Implementation Strategy: Pairing DCT Toolkit to Study Needs. Identify the decentralized research methods and tools needed by the medicine portfolio. Ensure aligned SOPs & training, identify new partners, modify protocols/templates. Pair the “right” method/tool to each study
based upon diverse criteria. Barriers to Scaled Adoption of Decentralized Trials: Regulatory ambiguity, Global variability, Technology interop & data flow, Investigator & patient readiness, Endpoint limitations, Organization culture. Forecasts and Futures. Choice & Flexibility for Participants on a Visit-by-Visit Basis. Research Sites Empowered to Use Their Existing Technology. New Opportunities to Engage Treating Physicians Enables Research as a Care Option. Observational
“All-Comer” Studies and Platform Trials with DCT Bring Research to People.
3 Ways to Implement a Clinical Trial Management SystemPerficient, Inc.
A clinical trial management system (CTMS) can be a real lifesaver when it comes to managing studies. But the implementation process can be a huge headache if not handled well. Don’t let that headache happen to you!
Perficient’s Param Singh, director of clinical trial management solutions, discussed three approaches to implementing a CTMS. He covered the pros and cons of each approach, as well as what factors to consider when choosing the right approach for your organization.
Evolving healthcare trends coupled with a slew of new features and functions to consider can overwhelm anyone charged with the task. Case managers typically are not been involved in the selection process, but that seems to be changing as organizations realize their input can be useful when it comes to choosing the most effective and efficient system.
Case managers who do get this opportunity can be prepared by staying up-to-date on the latest healthcare trends and technology that impact medical management functionality. While it is difficult to keep up with the expanding symbiotic interface between technology and care management workflow processes, case managers must understand how technology solutions can improve processes and patient outcomes.
CTMS for better site management and productivityTrialJoin
CTMS for better site management and productivity
Contact info@trialjoin.com for more information about patient recruitment help, obtaining new studies or help with site management.
Designed for human interface, Y Prime’s CTMS provides an intuitive and easy to use system with a focus on the ability to access data easily and quickly. The system has streamlined study creation, utilizing our industry research to help managers forecast and execute clinical trials in an efficient, intuitive manner, meaning set-up and training time are minimal. Fully supported by Y Prime’s industry experts, our CTMS is designed with a flexible framework allowing it to evolve with changing business processes, hence meeting the potentially endless requirements of all trial management needs. Our CTMS is available with multiple, flexible pricing models. - See more at: http://www.y-prime.com/products/#section-4
Multidimensional Challenges and the Impact of Test Data ManagementCognizant
Test data management (TDM) is vital for quality assurance (QA) functions to best handle the many cha;l;enges associated with data security, release management, batch processing, data masking and fencing.
De-risking Life and Annuity Policy Admin System ConversionsCognizant
Highly effective policy administration system (PAS) conversions are those that address the involved people, processes and technologies. Life and annuity (L&A) insurance companies can improve success rates in PAS conversions when they emphasize these three dimensions as keys to the organizational change initiative.
Whitepaper:Barriers to Effective and Strategic SPM CompensationIconixx
Learn best practice principles to anticipate barriers to SPM compensation. The five most common activation missteps are addressed, and practical recommendations are made to avoid them. The strategic approach outlined in this report will reduce the challenges encountered after activation and will help save time and money.
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.
Similar to Clinical Trial Management System Implementation Guide (20)
The world is quite a different place than it was six months ago, and with the 2020 holiday season fast approaching, the pressure is on to meet revenue goals in what’s been an uncertain year.
In August, we surveyed 154 marketing executives to find out what they think is likely to happen this holiday season and how they are preparing for it. The results are fascinating, and we’ve distilled them into clear actions you can take right now to adapt and prepare for a very different 2020 holiday season.
In this webinar, Eric Enge (Principal, Digital Marketing at Perficient) and Jim Hertzfeld (Chief Strategist, Digital at Perficient) discussed:
How marketers have already adapted and where they see the most opportunity moving forward
What will be different this holiday season and how to adjust your strategy accordingly
Ways to identify and meet changing customer expectations, wants, and needs
How to determine if your priorities or investments should change
What actions you can take right now to be successful
Transforming Pharmacovigilance Workflows with AI & Automation Perficient, Inc.
Medical information call centers have an opportunity to transform the way they capture, code, and analyze adverse events (AEs) and product quality complaints (PQCs) with artificial intelligence (AI) and automation.
The use of such innovative technology improves data quality and consistency, compliance, and operational efficiency. It helps reduce the frequency of your pharmacovigilance (PV) operations resources going home, saying, “I have more to do at the end of the day than I did when I started."
Our one-hour, on-demand webinar shows you how you can use AI and automation to turbo-charge your end-to-end PV system. Use cases and demonstrations will include:
Analyzing safety data
Auto-coding verbatim terms to official medical dictionary terms
Auto-creating an AE case in your database
Converting speech to text
The Secret to Acquiring and Retaining Customers in Financial ServicesPerficient, Inc.
Data, when leveraged effectively, can help you segment and target customers, analyze spending habits, and can create a personalized experience that builds value and customer loyalty.
Without a 360-degree view of your customers, you can’t properly target them with real-time personalized offers, advice, and other services. In addition, lack of customer intelligence creates lost opportunities for banks and insurers to cross-sell and upsell new products and services.
Our one-hour webinar covered how customer intelligence platforms can help you engage, acquire, and retain customers.
Oracle Strategic Modeling Live: Defined. Discussed. Demonstrated.Perficient, Inc.
The only thing certain about forecasting in a volatile economy is that the future is unpredictable. Historically, organizations have effectively utilized statistical techniques for short-term business planning, but leveraging actuals no longer allows us to predict the future. The ability to be prepared, responsive, and agile under these conditions is becoming a crucial success factor. Oracle Strategic Modeling can help you better navigate change to cope with uncertainty.
If your CFO’s questions regarding earnings, liquidity, and cash flow are unceasing and far-reaching, watch our on-demand webinar for a deep dive into strategic modeling. We modeled real-world scenarios to show how you can:
Quickly and easily develop a hierarchical model of your business
Leverage multiple pre-built functions to forecast key performance drivers
Provide transparency on forecasted financials via audit trail
Utilize goal seek to set financial targets and estimate the financials drivers necessary to achieve it
Perform sophisticated “what-if” analysis via simulations to improve the accuracy of your forecast
Use built-in dashboard functionality to deliver powerful reporting capabilities
While many stay-at-home orders have been lifted, consumers’ new digital buying behaviors and habits are here to stay. Watch our panel discussion on the accelerated need for commerce and learn how commerce and content can transform our digital economy.
Topics include:
-What is the “experience economy” and how do you leverage it? -If you move beyond product and price, what’s next?
-How business models have shifted and what you can do to break down silos and leverage new processes to capture the digital dollar.
-How organizations have built agile teams to address the ever-changing needs of customers, including responsive approaches that address the omnichannel consumer.
-Technologies that are best suited to enable your business and customers – and how headless commerce has changed the game.
-How the future of commerce is changing, and what you should do now to prepare.
Our panel features Jordan Jewell, IDC Research analyst known for his insight into the commerce industry. Joining him from Perficient is general manager Brian Beckham, who brings deep expertise in content management and empowering organizations in their digital transformations. Rounding out the panel is Episerver’s Joey Moore, who has spent the last decade helping organizations across the globe advance their digital maturity.
Centene's Financial Transformation Journey: A OneStream Success StoryPerficient, Inc.
Centene, a large multi-line managed care organization, was looking to modernize and streamline its corporate performance management (CPM) applications.
Centene had to move data between platforms multiple times during the close process so that close data could be fully consolidated and made available for reporting. This process had numerous challenges and inefficiencies that Centene wished to improve upon so that they could provide a more streamlined and more transparent process to the functional teams that leverage consolidated financials in their systems for reporting and analysis.
Centene chose OneStream XF for global and US consolidations, currency conversion, eliminations, and ownership percentage.
Michael Vannoni, director, financial systems solutions discussed the migration to OneStream XF including:
-Factors leading to the selection of OneStream XF
-Details of the solution design
-Benefits realized with global consolidation implementation
-Future planned enhancements
WHODrug Koda, developed by Uppsala Monitoring Centre (UMC), is an automated coding service, which uses artificial intelligence (AI) to automate the coding of drug names and ATC selections, improving consistency and operational efficiency. It can also be used to accelerate dictionary upgrades, including the transition from WHODrug B2 format to B3.
Through API (Application Programming Interface) web services, the coding engine can be integrated with custom or off-the-shelf drug safety, medical coding, or data management systems.
In this webinar, Perficient and UMC discussed WHODrug Koda and how you can integrate it into your medical coding activities.
Preparing for Your Oracle, Medidata, and Veeva CTMS Migration ProjectPerficient, Inc.
There are multiple reasons why companies migrate to a new clinical trial management system (CTMS). Still, the two most common are mergers and acquisitions (i.e., CTMS consolidation) and the desire to switch CTMS vendors. Regardless of the reason, many of the best practices, processes, and tools are the same.
In this webinar, we looked at the migration approaches taken across several case studies. You’ll come away with an understanding of:
Pros and cons of each CTMS migration method
Types of migration tools, including APIs, ETL tools, and adapters
Approximate timelines and costs associated with each migration method
The topics discussed in this webinar can be applied to any CTMS migration project, whether you’re moving to or from Oracle’s Siebel CTMS, Medidata’s Rave CTMS, and Veeva’s Vault CTMS.
Accelerating Partner Management: How Manufacturers Can Navigate Covid-19Perficient, Inc.
The pandemic has ushered in a new normal for manufacturers, and the impact of digital communication is more important than ever.
View our on-demand webinar with Tony Kratovil, Regional Vice President of Manufacturing at Salesforce, and Eric Dukart, National Sales Executive at Perficient. They covered why the right digital strategies are critical for manufacturers in the wake of COVID-19.
Our webinar covered:
Current challenges with forecasting, collaboration, and disruptions to distribution networks.
Insights for stabilizing operations, accelerating partner management, and developing a digital strategy that differentiates your business.
Candid Q&A with real-world examples.
New Work.com resources to help manufacturers restart safely and rebuild.
Tools and resources to move forward – fast.
The Critical Role of Audience Intelligence with Eric Enge and Rand FishkinPerficient, Inc.
Things move quickly in marketing. How do you identify what your customers need and how you can help? Now more than ever, audience intelligence is the key.
Audience intelligence is about understanding your target customers, their needs, what resonates with them, and how you can reach them. Eric Enge (Digital Marketing Principal, Perficient) and Rand Fishkin (Co-Founder & CEO, SparkToro) discussed this topic live on May 7, 2020. Watch to hear tactics for gaining a better understanding of your customers, how to use audience intelligence to optimize your marketing now, and more.
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Clinical Trial Management System Implementation Guide
1. IMPLEMENTING CLINICAL TRIAL MANAGEMENT SY
QUICK GUIDE TO PLANNING
YOUR CLINICAL TRIAL
MANAGEMENT SYSTEM
IMPLEMENTATION
2. ABOUT THE AUTHORParam Singh has been working in the life sciences industry his
entire career. As the director of clinical trial management solutions
at Perficient, Singh leads a highly skilled team of implementation
specialists and continues to build lasting relationships with clients. He
has a knack for resource and project management, which allows clients
to achieve success. Prior to joining Perficient (via BioPharm Systems),
Param guided the clinical trial management group at Accenture.
INTRODUCTIONClinical trials account for the majority of the cost in new drug development – a cost that is
constantly increasing. Not only are clinical trials expensive, but they are lengthy, complex
and highly scrutinized. Technology solutions play a significant role in helping life sciences
organizations oversee these critical tasks.
A clinical trial management system (CTMS) is a single centralized software system for
the management of all clinical trials. It eliminates disparate spreadsheets and databases
across trials, provides access to clinical trial information in real-time, and enforces
consistency of administrative, operational and financial aspects of trials across
an organization. The CTMS can be used by multiple business units or clinical
research divisions within a company, making it beneficial for sponsors,
contract research organizations (CROs) and academic medical centers.
This system can be implemented organization-wide using a big bang
approach or rolled out using a phased approach.
When an organization takes a strategic approach
to selecting an appropriate CTMS and
implementing it properly, the result is an
organization that reduces trial-related
costs, increases trial management
consistency and efficiency,
streamlines clinical trial
management and increases
clinical research productivity.
Perficient’s dedicated life
sciences practice specializes
in a full range of CTMS
services from consultation
through implementation.
CLINICAL TRIALS COST ARE
CONSTANTLY INCREASING
3. PLANNING YOUR CLINICAL TRIAL MANAGEMENT SYSTEM IMPLEMENTATION 3
SIGNS THAT A
CTMS IS NEEDED
Key indicators of the need for a CTMS include rapid
organizational growth or an increased clinical trial
pipeline as a result of a recent or planned merger,
increased number, size or complexity of trials, or the
introduction of, or increased participation in, global trials.
These situations typically result in a corresponding need to improve the efficiency and
turnaround times of clinical trials and to provide access to real-time trial information. If
a strategic plan is not put in place to address outdated trial management techniques, it
becomes increasingly difficult to quickly and accurately provide trial information.
The continued use of a homegrown management system or disparate methods of
study tracking can result in the inability to compare and contrast similar trials, lack of
standardization for information that is tracked, conflicting information for the same contacts
or organizations, and the inability to track metrics across trials.
BENEFITS OF
A CTMS
A CTMS enables you to enforce organizational
standard operating procedures and work
practices and eliminate individual approaches to
trial management. It also lets you utilize a single
database with access controlled by security roles and settings, and to use referential data
that results in less time spent on data entry and consolidation.
Internal and external integrations have become increasingly critical to today’s clinical trial
industry. Organizations want to be able to integrate trial management systems with other
applications such as internal customer master systems, document management systems,
electronic data capture, interactive voice response, clinical data management, safety and
pharmacovigilance, financial systems and more.
To justify and maximize IT expenditures, organizations want easy access to dashboard
reports that compile information from multiple sources. They want to reduce the amount of
double or triple data entries by having multiple systems talk to one another and share key
information such as contacts, accounts, addresses, subject visit information, adverse event
details and more.
4. PREPARING
TO EXPLORE
CTMS OPTIONS
A good bit of internal analysis and preparation must be performed to
build a business case for a CTMS. A company must first understand
its current trial management processes and identify various pain
points and perceived gaps. As you perform this analysis, take time to
really consider what role the new CTMS will play in the organization and which groups of
individuals and functional areas will be affected by the implementation.
You also should identify key business and IT resources for the CTMS project core team. At
a minimum, the core group should consist of a strong project manager, a business lead, a
technical lead and a validation/QA lead. Recognize that these individuals will be involved
in all aspects of the project preparation, implementation and roll-out. A key success factor
for the project will be the quality and quantity of communication that is provided within the
project team and to the end user community.
Before approaching potential CTMS vendors, you should create a system requirements
specification document, detailing and prioritizing system requirements by department and
functional area. Any potential constraints (e.g., virtual private network access, firewall
issues, etc.) and additional functions (e.g., migration services, integrations, etc.) also
should be identified and documented. Upper management will need a clear picture of
the key benefits of a CTMS, an estimated budget and timeline, and an idea of how the
expenditure will increase efficiency and reduce costs overall.
DEVELOPING A CTMS
SELECTION CHECKLIST
Your project team must become familiar with basic CTMS functionality and terminology
through various channels, such as internet searches and webinars. Identify potential
vendors and then research the functionality provided by their CTMS. At this point, you
should also consider the benefits of a CTMS accelerator versus an off-the-shelf product
(reduces implementation costs and timeframes). Read into industry recommendations, visit
conferences, and comb vendor websites and product data sheets, paying close attention to
the following characteristics:
5. PERFORMANCE
A CTMS should demonstrate consistent performance and response times under repeated
tests of various real-world scenarios. This is true for day-to-day performance, querying and
reporting. Users don’t have time to wait for the system to respond to various commands.
The software manufacture should incorporate tools and techniques to minimize any
anticipated performance issues.
SCALABILITY
When a company starts performing an increased number of clinical trials, the CTMS needs
to be expandable, (scalable), in order to handle the increased amount of data tracking. It
also must handle larger numbers of concurrent users. It is important to know any potential
costs associated with scaling up a CTMS, such as adding additional servers, more user
licenses, etc.
KEY CONSIDERATIONS DURING CTMS SELECTION
A robust CTMS is one that can support most, if not all, trial management tasks from
feasibility and study startup to subject tracking and provider payments. It also is one
that has been coded properly. The system should not completely go down if one issue is
experienced during day-to-day production use.
When looking at various systems, you will need to find out what types of customizations, if
any, are both possible and necessary. While the flexibility provided by a highly customizable
system may be tempting, try to exhibit restraint for the initial implementation. Keep in mind
that each customization is going to increase the cost of your implementation and extend the
project timeline.
Determine what, if any, data will be migrated from current systems or spreadsheets.
Depending on the data source, the data to be migrated will need to meet specific format
criteria, which can be a time-consuming exercise
especially if data will be migrated from multiple
sources. In addition, it is always good practice
to clean the data prior to migrating it to a new
system.
In today’s IT environment, most CTMS solutions
can be integrated with multiple systems. Several
organizations have found that it is best to first
implement the base CTMS and then perform
one or more integrations as separate phases.
This method provides the basic functionality of
a CTMS to the end users more quickly. It is also
recommended that you analyze the integration
method proposed by each vendor. Some
methods are more practical than others in that
they can be re-used with other applications or
vendors.
PLANNING YOUR CLINICAL TRIAL MANAGEMENT SYSTEM IMPLEMENTATION 5
6. THE CTMS CAN BE USED BY MULTIPLE BUSINESS
UNITS OR CLINICAL RESEARCH DIVISIONS WITHIN A
COMPANY, MAKING IT BENEFICIAL FOR SPONSORS,
CONTRACT RESEARCH ORGANIZATIONS (CROs) AND
ACADEMIC MEDICAL CENTERS.
CHOOSING AN
IMPLEMENTATION
PARTNER
A software vendor may have the expertise to also be the implementation partner, but be
sure to explore other options as well. A company that specializes in CTMS implementations
will often be more cost-effective and provide a wider range of implementation services that
include integration and migration. In addition, a reputable implementation partner will be
able to guide you through the computer system validation process if it is required by your
organization. Keep in mind that your implementation experience will only be as good as the
implementation partner that you select!
CONSIDER POST-IMPLEMENTATION
SUPPORT
Each CTMS vendor and implementation vendor should have
affordable and flexible options for post-implementation support.
This type of support is typically used when an internal support
system is not able to resolve a user or system issue. The
external support options should include live phone support,
email, remote access capabilities and knowledge base
availability. The goal of an external support system
should beto resolve system issues quickly and effectively.
7. CTMS EXPERTISE,
AT YOUR DISPOSAL
Perficient has a dedicated team that specializes
in Oracle’s Siebel CTMS. We provide a wide
range of services, including cloud or on-premises
implementations, upgrades and integrations. Due
to our deep expertise, we developed ASCEND,
a pre-configured and enhanced version of Siebel CTMS. Ascend accelerates the
implementation timeline and saves costs, since the system contains many frequently
requested configurations right out of the box. Our services and solution accelerator have
been leveraged by pharmaceutical, biotechnology and medical device companies, in
addition to CROs and academic institutions.
TO LEARN MORE ABOUT PERFICIENT’S LIFE SCIENCES PRACTICE, VISIT
HTTP://WWW.PERFICIENT.COM/INDUSTRIES/LIFE-SCIENCES
PLANNING YOUR CLINICAL TRIAL MANAGEMENT SYSTEM IMPLEMENTATION 7
8. STAY INFORMED
Keep current with the
technology trends, issues
and experts by following
our life sciences blog.
blogs.perficient.com/
lifesciences/
UPCOMING AND ON-DEMAND WEBINARS
Perficient experts frequently host technology webinars to discuss
the latest enterprise technology trends and share best practice
recommendations. All webinars are complimentary.
perficient.com/Webinars
CONNECT WITH PERFICIENT LIFE SCIENCES:
PERFICIENT.COM LINKEDIN.COM/COMPANY/PERFICIENT @PERFICIENT_LS
Visit us at: www.perficient.com or email us at: LifeSciencesInfo@perficient.com
ABOUT PERFICIENT
Perficient is a leading information technology consulting firm serving clients throughout North
America. We deliver business-driven technology solutions that enable our clients to reach new
markets and increase revenues, strengthen customer relationships, reduce operating costs, increase
productivity and empower their employees. Perficient is world-class talent, delivering world-class
technology, on time and on budget.
Perficient’s life sciences team has extensive experience in the implementation and integration of
the most widely used and highly sought-after clinical and pharmacovigilance software applications.
We also specialize in the implementation of the leading digital signature solution for the life sciences
industry, which can be implemented as a stand-alone application or integrated with various clinical
trial software applications.
DELIVERING BUSINESSVALUETO OUR CLIENTS
Our services and industry tools enable sponsors and research organizations to get their systems up
and running quickly. The results are faster time to value, low and predictable costs, and a better fit for
each client’s business.