Clinical Trial Management System (CTMS) From OctalsoftOctal Soft
OctalSoft, A premium name for clinical trial software solutions. We offer global Clinical Trial Management System Solution that enables global CROs maintain a centralized clinical trial database providing users with the most relevant and up to date information based on their specific roles & responsibilities. An ideal CTMS software for increased efficiency & quicker operations.
Visit : http://www.octalsoft.com/clinical-trial-solutions/ctms-solutions/ to know more and ask for Demo of our CTMS Solution.
Appalla Venkataprabhakar and I presented this at the Oracle\'s Annual Clinical Development and Safety Conference 2010 at Hyderabad, India on 6th October 2010.
This document discusses clinical trial management systems. It describes key application areas such as protocol development, data collection and analysis, safety reporting, and regulatory submission. It outlines stakeholders in the clinical trial process like sponsors, investigators, and sites. It also explains how clinical trial systems support management of studies, sites, data, adverse events, and integration with external systems. Clinical trial systems help standardize, automate and manage the complex clinical trial process.
The document provides information on several clinical data management systems and software, including Oracle Clinical, SAS Clinical Software, TCS Clin-E2E Software, Cognos 8 Business Intelligence Software, Symetric Software, Akaza's OpenClinica Software, SigmaSoft's DMSys Software, and Progeny Clinical Software. It discusses their key features for managing clinical trials data such as electronic data capture, reporting, security, compliance with industry standards, and integration with other systems.
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.
Introduction to Oracle Clinical Overview in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Clinical data management involves processing clinical trial data through activities like data entry, validation, query resolution and medical coding. It aims to ensure the integrity and quality of clinical trial data, which regulatory agencies rely on for drug approval. The document provides an overview of the clinical data management process and roles involved at each stage, from study set-up to closeout.
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.
Clinical Trial Management System (CTMS) From OctalsoftOctal Soft
OctalSoft, A premium name for clinical trial software solutions. We offer global Clinical Trial Management System Solution that enables global CROs maintain a centralized clinical trial database providing users with the most relevant and up to date information based on their specific roles & responsibilities. An ideal CTMS software for increased efficiency & quicker operations.
Visit : http://www.octalsoft.com/clinical-trial-solutions/ctms-solutions/ to know more and ask for Demo of our CTMS Solution.
Appalla Venkataprabhakar and I presented this at the Oracle\'s Annual Clinical Development and Safety Conference 2010 at Hyderabad, India on 6th October 2010.
This document discusses clinical trial management systems. It describes key application areas such as protocol development, data collection and analysis, safety reporting, and regulatory submission. It outlines stakeholders in the clinical trial process like sponsors, investigators, and sites. It also explains how clinical trial systems support management of studies, sites, data, adverse events, and integration with external systems. Clinical trial systems help standardize, automate and manage the complex clinical trial process.
The document provides information on several clinical data management systems and software, including Oracle Clinical, SAS Clinical Software, TCS Clin-E2E Software, Cognos 8 Business Intelligence Software, Symetric Software, Akaza's OpenClinica Software, SigmaSoft's DMSys Software, and Progeny Clinical Software. It discusses their key features for managing clinical trials data such as electronic data capture, reporting, security, compliance with industry standards, and integration with other systems.
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.
Introduction to Oracle Clinical Overview in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Clinical data management involves processing clinical trial data through activities like data entry, validation, query resolution and medical coding. It aims to ensure the integrity and quality of clinical trial data, which regulatory agencies rely on for drug approval. The document provides an overview of the clinical data management process and roles involved at each stage, from study set-up to closeout.
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.
Visit:www.acriindia.com
ACRI is a leading Clinical data management training Institute in Bangalore India.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
The document provides an overview of clinical study protocols, including their purpose, key components, and importance. It describes the various sections of a protocol, such as the background and objectives, study design, subject selection criteria, study procedures, safety and efficacy assessments, and data handling. Maintaining adherence to the protocol is important to ensure the safety of participants and integrity of the clinical trial.
The document outlines the process for setting up clinical data management and pharmacovigilance processes. It discusses developing the protocol and case report forms, designing the database, installing software like Oracle Inform and Argus, and preparing documents like the data management plan. It also describes the data entry, validation, query resolution, medical coding, biostatistics, and database locking and freezing aspects of the clinical data management and pharmacovigilance setup process.
This document provides an overview of medical coding and the process involved. It discusses the objectives of medical coding, which include standardizing medical terminology and ensuring data is mapped to standardized medical dictionaries. It also describes the pre-coding process and prerequisites for assigning codes, such as having clinical data and using standardized coding dictionaries. Finally, it reviews some common medical coding dictionaries like MedDRA and WHODD, how they are structured in a hierarchy, and how codes are assigned based on the dictionary terminology.
Have full fleged clinical trial data management systems which bring them a good amount of business and revenue.
CDM is a fundamental process which controls data accuracy of each trial besides helping the timelessness to be achieved.
It helps in linking clinical research co-ordinator = who monitor all the sites & collects the data.
it Links with biostatisticians = who analyze, interpret and report data in clinically meaningful way.
Introduction to Aggregate Reporting in Drug Safety & Pharmacovigilance in Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Contact:
"Katalyst Healthcares & Life Sciences"
South Plainfield, NJ, USA
info@KatalystHLS.com
A presentation given at the Duke Margollis Health Policy meeting in 2015 and providing insights into the current challenges related to EHR data quality. Proposes a new approach - OneSource.
Overview of Validation in Pharma_Katalyst HLSKatalyst HLS
Introduction to Validation Concepts in Pharma, Bio-Pharma, Medical Device, Cosmetics, Food, Beverages industry.
Contact:
Katalyst Healthcare’s & Life Sciences
South Plainfield, NJ, USA 07080.
E-Mail: info@KatalystHLS.com
Clinical Data Management Training @ Gratisol LabsGratisol Labs
Clinical data management involves processing clinical trial data using computer applications and database systems. It supports the collection, cleaning, and management of subject data. Key aspects of clinical data management include CRF design, database setup, data entry, discrepancy management, medical coding, quality control, and database lock. The goal is to ensure the integrity and quality of clinical trial data.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
A data management plan (DMP) ensures consistent and effective clinical data management practices throughout a clinical trial. The DMP describes all data management activities, roles, and responsibilities to promote standardized data handling. It provides an agreement between parties on data management deliverables. The DMP covers components like data flow, capture, setup, entry, transfer, processing, coding, safety handling, external data, and database locking. It serves to plan, communicate, and reference data management tasks. Developing a thorough DMP helps ensure quality and regulatory compliance in data collection and analysis.
This document summarizes a webinar on streamlining data management for clinical trials. The webinar covered the need for streamlined approaches given rising drug development costs. It discussed areas for improving efficiencies, including using standards, a parallel approach, identifying key reviewers, and tailoring processes based on trial type (e.g. a "Premier Express" approach for small phase 1 trials). An example case study showed how streamlining tasks and performing work in parallel reduced timelines for developing case report forms, annotated case report forms, databases, and edit checks for a small phase 1 trial from 9 weeks to 5 weeks.
Oracle Clinical is a clinical data management software that supports all aspects of clinical data management, including defining and managing clinical studies, collecting and validating data, generating data entry screens, managing queries and discrepancies, and extracting data for analysis. It has several subsystems that handle tasks like study design, the global library, data collection, validation, and extracts. Key functions include entering data manually or via batch load, extracting data, managing discrepancies, and freezing and locking data.
Clinical research and clinical data management - Ikya Globalikya global
Data management functions in clinical trials—extensive data cleaning, full query management, protocol deviation management, batch processing, as examples—have traditionally been served by stand-alone clinical data management systems (CDMS), whose input is from paper forms or from separate electronic data capture systems. Distinct electronic data capture and data management systems require data integration, with resulting timing and reconciliation issues.
1. Clinical data management systems are needed for multi-center clinical trials to manage large volumes of data from multiple sites in real-time.
2. India has potential to grow as a clinical data management hub due to its large, skilled workforce and lower costs compared to other countries.
3. Stakeholders in clinical data management include sponsors, CROs, sites, and regulators who require standardized, clean data to be efficiently captured and reported.
Clinical data management (CDM) ensures the collection, integration, and availability of high-quality data from clinical trials. It supports clinical research and analysis across different study types. CDM tools like CDMS help manage large amounts of multicenter trial data. Regulations like 21 CFR Part 11 require electronic records and validated systems to ensure accurate, reliable data. Guidelines from SCDM and CDISC provide standards for good CDM practices and data collection. CDM processes clinical research data from source documents through database entry, quality checking, analysis, and archiving to support regulatory approval and conclusions about clinical results.
This document discusses clinical data management (CDM) systems and processes. It defines key terms like source data, source documents, and raw data. It then describes the essential steps in CDM including initial planning, data collection, review and verification, coding, query resolution, data entry and validation, output and archiving. Finally, it outlines requirements for a good CDM system including system validation, security, change control, and archiving. The goal of CDM is to generate an accurate, high-quality clinical trial database while ensuring compliance with regulations.
Clinical data management is the process of collecting, validating, and cleaning data from clinical trials. It aims to ensure data quality and integrity. Key aspects of clinical data management include electronic data capture, establishing data standards, using clinical data management systems, and performing activities like data collection, validation, and discrepancy management. It follows guidelines from organizations like SCDM and regulations like 21 CFR Part 11.
An brief introduction to the clinical data management process is described in this slides. These slides provides you the information regarding the data evaluation in the clinical trials , edit checks and data review finally data locking,then the data is submitted to the concerned regulatory body.
This document provides an overview of audits and inspections for quality management in life sciences. It defines audits and inspections, describes types of each, and outlines focus areas. Key aspects of audits covered include classification of findings, root cause analysis, corrective action processes, audit tools, and dos and don'ts. Good documentation practices, risk management, and escalation management processes are also summarized. The purpose is to educate on quality policy, audits, inspections, and related quality management topics in life sciences.
Electronic Data Capture (EDC) Systems: Streamlining Data CollectionClinosolIndia
This document discusses electronic data capture (EDC) systems, which store patient data collected during clinical trials electronically. EDC systems streamline data collection to reduce clinical trial timelines and costs by replacing paper-based methods. The document outlines the components, types, uses, best practices, features, benefits, and limitations of EDC systems. It explains how EDC systems improve data quality and collaboration while enhancing data security and accessibility.
Visit:www.acriindia.com
ACRI is a leading Clinical data management training Institute in Bangalore India.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
The document provides an overview of clinical study protocols, including their purpose, key components, and importance. It describes the various sections of a protocol, such as the background and objectives, study design, subject selection criteria, study procedures, safety and efficacy assessments, and data handling. Maintaining adherence to the protocol is important to ensure the safety of participants and integrity of the clinical trial.
The document outlines the process for setting up clinical data management and pharmacovigilance processes. It discusses developing the protocol and case report forms, designing the database, installing software like Oracle Inform and Argus, and preparing documents like the data management plan. It also describes the data entry, validation, query resolution, medical coding, biostatistics, and database locking and freezing aspects of the clinical data management and pharmacovigilance setup process.
This document provides an overview of medical coding and the process involved. It discusses the objectives of medical coding, which include standardizing medical terminology and ensuring data is mapped to standardized medical dictionaries. It also describes the pre-coding process and prerequisites for assigning codes, such as having clinical data and using standardized coding dictionaries. Finally, it reviews some common medical coding dictionaries like MedDRA and WHODD, how they are structured in a hierarchy, and how codes are assigned based on the dictionary terminology.
Have full fleged clinical trial data management systems which bring them a good amount of business and revenue.
CDM is a fundamental process which controls data accuracy of each trial besides helping the timelessness to be achieved.
It helps in linking clinical research co-ordinator = who monitor all the sites & collects the data.
it Links with biostatisticians = who analyze, interpret and report data in clinically meaningful way.
Introduction to Aggregate Reporting in Drug Safety & Pharmacovigilance in Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
Contact:
"Katalyst Healthcares & Life Sciences"
South Plainfield, NJ, USA
info@KatalystHLS.com
A presentation given at the Duke Margollis Health Policy meeting in 2015 and providing insights into the current challenges related to EHR data quality. Proposes a new approach - OneSource.
Overview of Validation in Pharma_Katalyst HLSKatalyst HLS
Introduction to Validation Concepts in Pharma, Bio-Pharma, Medical Device, Cosmetics, Food, Beverages industry.
Contact:
Katalyst Healthcare’s & Life Sciences
South Plainfield, NJ, USA 07080.
E-Mail: info@KatalystHLS.com
Clinical Data Management Training @ Gratisol LabsGratisol Labs
Clinical data management involves processing clinical trial data using computer applications and database systems. It supports the collection, cleaning, and management of subject data. Key aspects of clinical data management include CRF design, database setup, data entry, discrepancy management, medical coding, quality control, and database lock. The goal is to ensure the integrity and quality of clinical trial data.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
A data management plan (DMP) ensures consistent and effective clinical data management practices throughout a clinical trial. The DMP describes all data management activities, roles, and responsibilities to promote standardized data handling. It provides an agreement between parties on data management deliverables. The DMP covers components like data flow, capture, setup, entry, transfer, processing, coding, safety handling, external data, and database locking. It serves to plan, communicate, and reference data management tasks. Developing a thorough DMP helps ensure quality and regulatory compliance in data collection and analysis.
This document summarizes a webinar on streamlining data management for clinical trials. The webinar covered the need for streamlined approaches given rising drug development costs. It discussed areas for improving efficiencies, including using standards, a parallel approach, identifying key reviewers, and tailoring processes based on trial type (e.g. a "Premier Express" approach for small phase 1 trials). An example case study showed how streamlining tasks and performing work in parallel reduced timelines for developing case report forms, annotated case report forms, databases, and edit checks for a small phase 1 trial from 9 weeks to 5 weeks.
Oracle Clinical is a clinical data management software that supports all aspects of clinical data management, including defining and managing clinical studies, collecting and validating data, generating data entry screens, managing queries and discrepancies, and extracting data for analysis. It has several subsystems that handle tasks like study design, the global library, data collection, validation, and extracts. Key functions include entering data manually or via batch load, extracting data, managing discrepancies, and freezing and locking data.
Clinical research and clinical data management - Ikya Globalikya global
Data management functions in clinical trials—extensive data cleaning, full query management, protocol deviation management, batch processing, as examples—have traditionally been served by stand-alone clinical data management systems (CDMS), whose input is from paper forms or from separate electronic data capture systems. Distinct electronic data capture and data management systems require data integration, with resulting timing and reconciliation issues.
1. Clinical data management systems are needed for multi-center clinical trials to manage large volumes of data from multiple sites in real-time.
2. India has potential to grow as a clinical data management hub due to its large, skilled workforce and lower costs compared to other countries.
3. Stakeholders in clinical data management include sponsors, CROs, sites, and regulators who require standardized, clean data to be efficiently captured and reported.
Clinical data management (CDM) ensures the collection, integration, and availability of high-quality data from clinical trials. It supports clinical research and analysis across different study types. CDM tools like CDMS help manage large amounts of multicenter trial data. Regulations like 21 CFR Part 11 require electronic records and validated systems to ensure accurate, reliable data. Guidelines from SCDM and CDISC provide standards for good CDM practices and data collection. CDM processes clinical research data from source documents through database entry, quality checking, analysis, and archiving to support regulatory approval and conclusions about clinical results.
This document discusses clinical data management (CDM) systems and processes. It defines key terms like source data, source documents, and raw data. It then describes the essential steps in CDM including initial planning, data collection, review and verification, coding, query resolution, data entry and validation, output and archiving. Finally, it outlines requirements for a good CDM system including system validation, security, change control, and archiving. The goal of CDM is to generate an accurate, high-quality clinical trial database while ensuring compliance with regulations.
Clinical data management is the process of collecting, validating, and cleaning data from clinical trials. It aims to ensure data quality and integrity. Key aspects of clinical data management include electronic data capture, establishing data standards, using clinical data management systems, and performing activities like data collection, validation, and discrepancy management. It follows guidelines from organizations like SCDM and regulations like 21 CFR Part 11.
An brief introduction to the clinical data management process is described in this slides. These slides provides you the information regarding the data evaluation in the clinical trials , edit checks and data review finally data locking,then the data is submitted to the concerned regulatory body.
This document provides an overview of audits and inspections for quality management in life sciences. It defines audits and inspections, describes types of each, and outlines focus areas. Key aspects of audits covered include classification of findings, root cause analysis, corrective action processes, audit tools, and dos and don'ts. Good documentation practices, risk management, and escalation management processes are also summarized. The purpose is to educate on quality policy, audits, inspections, and related quality management topics in life sciences.
Electronic Data Capture (EDC) Systems: Streamlining Data CollectionClinosolIndia
This document discusses electronic data capture (EDC) systems, which store patient data collected during clinical trials electronically. EDC systems streamline data collection to reduce clinical trial timelines and costs by replacing paper-based methods. The document outlines the components, types, uses, best practices, features, benefits, and limitations of EDC systems. It explains how EDC systems improve data quality and collaboration while enhancing data security and accessibility.
2013 OHSUG - Use Cases for using the Program Type View in Oracle Life Science...Perficient
The document discusses three use cases for program type views in Oracle Health Sciences: 1) data pooling, 2) data security, and 3) data blinding. It describes how views can combine data from multiple sources for pooled analysis or limit user access based on study authorization. Views are also used to mask data for blinded reviews. The presentation provides examples of manual and automated implementations of these use cases using program views.
2013 OHSUG - Benefits of Out-of-the-Box-CDA for Siebel ClinicalPerficient
This document provides a summary of a presentation on the benefits of using Oracle's Clinical Development Analytics (CDA) solution together with Siebel Clinical. The presentation covers how CDA provides over 150 pre-built reports and dashboards across trial management and data management. It also discusses how CDA integrated with Siebel Clinical can help improve decision making, clinical productivity, and study performance by providing greater visibility into study and site level data. A live demo of CDA and Siebel Clinical is also included on the agenda.
Clinion provides a fully featured electronic data capture (EDC) solution for clinical trials that allows for data entry and monitoring in a powerful yet easy-to-use system. It offers features such as rapid study design, collaborative development, templates and wizards for complex rules, and audit history tracking. Clinion's vision is to be a leading data management provider by delivering value to the healthcare industry, and its mission is to reduce costs and expedite clinical trials through EDC solutions that lower risks and costs while realizing faster time to value.
Cloud-Based Solutions for Clinical Data ManagementClinosolIndia
Cloud-based solutions have become increasingly popular in the field of clinical data management due to their scalability, accessibility, cost-effectiveness, and potential for collaboration. These solutions offer a range of benefits for managing and analyzing clinical data while ensuring security and compliance with regulatory requirements such as HIPAA. Here are some key cloud-based solutions for clinical data management
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...Sean Ekins
CDD provides an integrated software suite for drug discovery called CDD Vault. It includes capabilities for data visualization, calculations, machine learning models, and collaborative workspaces. CDD Vault securely hosts large compound and data sets. Recent updates include advanced modeling and visualization tools. CDD is used widely in academia and industry and has over a decade of experience in facilitating drug discovery collaborations, including projects focused on neglected diseases.
More Gain, Less Pain - Is IRT Tech Transfer Right for Your Clinical TrialsBioclinica
The document discusses interactive response technology (IRT) and the option of transferring IRT technology from BioClinica to a client. It describes IRT as software that can randomize subjects into treatment groups and dispense study drugs. It then discusses two approaches to IRT tech transfer - the client taking ownership of all IRT responsibilities ("all in") or sharing some responsibilities with BioClinica ("hybrid"). It promotes BioClinica's Trident IRT system as flexible, powerful, revolutionary and easy to use, making it well-suited for tech transfer.
Strata Rx 2013 - Data Driven Drugs: Predictive Models to Improve Product Qual...EMC
Like most of healthcare and life science, pharmaceutical companies are undergoing a data-driven transformation. The industry-wide need to reduce the cost of developing, manufacturing and distributing drugs while bringing to market new products is not a novel concept or challenge. However, the ability to process and analyze large amounts of data using cutting-edge massively parallel processing (MPP) technologies means innovation can be found not only in the traditional hypothesis-driven approaches we have come to expect. New technologies and approaches make it possible to incorporate all available data, structured and unstructured. At Pivotal, it is the goal of our data science practice to demonstrate the capabilities of the technologies we offer. We focus on building predictive models by combining the vast and variable data that is available to elicit action or generate insights. In our talk we will focus on a use case in pharmaceutical manufacturing, wherein we created a predictive model to produce more consistent, high-quality products and drive decisions to abandon lots with expected poor outcomes. In addition, we demonstrate how we used machine learning to cleanse data and to improve efficiencies in data collection by identifying low information-content measurements and incorporate under-utilized data sources in manufacturing. Beyond this use case, we will discuss our vision of using machine learning in all areas of the industry, from research through distribution, to drive change.
Pistoia Alliance Debates: Moving Research Informatics into the Cloud: 25th Ma...Pistoia Alliance
This document summarizes a webinar on moving research informatics to the cloud. It introduces four panelists from Elsevier, Accenture, Merck, and Google who discuss their experiences with cloud computing. They cover challenges around data management, the benefits of a cloud-based approach for data sharing and scalability, and how a platform strategy enabled by cloud infrastructure can help transform research processes over multiple years. The panelists describe case studies of migrating applications and databases to the cloud and discuss how a cloud-based platform can drive productivity and cost savings.
C3i has introduced several new capabilities, including iPad deployment and support services, a new operations center in Dalian, China to support Asian languages, and a turnkey clinical solution. The document discusses each new capability in detail, providing an overview of C3i, the services offered for iPad deployment, statistics on support calls, and the benefits of a fully outsourced clinical solution for small biotech companies.
In this two-hour, instructor-led hands-on lab, attendees will learn how to use the latest .Net APM features in real-life scenarios to gain operational insights into their applications.
The interactive lab will cover multiple use cases, including:
o Monitoring Azure web apps
o Best practices monitoring ASP.NET MVC and WebAPI applications
o Reasons, tips, and tricks on using service endpoints
o Mastering "getter chain" skills to collect the right data
The lab will include a presentation, hands-on exercises, and Q&A. To get the most out of the lab, attendees will be required to complete pre-requisite exercises and bring their own laptops.
For more information, go to: www.appdynamics.com
TrialIO aims to empower patients and researchers by providing better access and analysis of clinical trial data. It reimagines the data from ClinicalTrials.gov as a spreadsheet in the cloud, allowing users to more easily identify trends in clinical trial activity over time for specific diseases, locations, investigators, and sponsors. This could help improve patient-researcher matching and support various stakeholders in planning and conducting clinical trials. The tool is envisioned as both a web application and syndicated web service to promote wider dissemination and use of clinical trial data.
Piloting Big Data: Where To Start? - StampedeCon 2014StampedeCon
This document discusses best practices for conducting a big data pilot project. It recommends defining success metrics for the pilot, choosing a use case that aligns with business objectives, and taking an agile approach through planning, prototyping, piloting, and moving to production. The document also notes that big data can enable new capabilities and economic scalability through distributed, scale-out architectures.
2013 OHSUG - Best Practices for Setting up the CDA Repository for CTMS/OCPerficient
This document outlines best practices for setting up an Oracle Clinical Development Analytics (CDA) repository for clinical trial management systems. It discusses establishing requirements, designing extensions, validating the CDA, training users, providing production support, and managing the ongoing release life cycle. Setting up a development environment to review out-of-the-box reports is recommended before defining custom requirements. Extensions may include adding new data sources, reports, or dimensions. Ongoing activities involve validating reports, training users, monitoring systems, and planning for future upgrades.
Cloud9 provides a platform that integrates healthcare delivery across the patient journey. It supports improved healthcare by allowing providers to share and use data across settings through solutions like a health information exchange, clinical data repository, and enterprise clinical and hospital information systems. The platform aims to move healthcare from opinion-based to evidence-based medicine by enabling content and data to follow patients throughout their care.
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.
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...Perficient
This presentation discusses the benefits of using Oracle's Clinical Development Analytics (CDA) together with Siebel Clinical for clinical trial management. CDA provides over 150 pre-built reports and dashboards with data from sources like Siebel Clinical, Oracle Clinical, and third parties. It helps users make more informed decisions, improve productivity and effectiveness, and reduce costs by providing real-time visibility into study performance. The presentation demonstrates CDA's out-of-the-box content and reporting capabilities as well as how CDA can be customized and integrated with Siebel Clinical.
Histololgy of Female Reproductive System.pptxAyeshaZaid1
Dive into an in-depth exploration of the histological structure of female reproductive system with this comprehensive lecture. Presented by Dr. Ayesha Irfan, Assistant Professor of Anatomy, this presentation covers the Gross anatomy and functional histology of the female reproductive organs. Ideal for students, educators, and anyone interested in medical science, this lecture provides clear explanations, detailed diagrams, and valuable insights into female reproductive system. Enhance your knowledge and understanding of this essential aspect of human biology.
PGx Analysis in VarSeq: A User’s PerspectiveGolden Helix
Since our release of the PGx capabilities in VarSeq, we’ve had a few months to gather some insights from various use cases. Some users approach PGx workflows by means of array genotyping or what seems to be a growing trend of adding the star allele calling to the existing NGS pipeline for whole genome data. Luckily, both approaches are supported with the VarSeq software platform. The genotyping method being used will also dictate what the scope of the tertiary analysis will be. For example, are your PGx reports a standalone pipeline or would your lab’s goal be to handle a dual-purpose workflow and report on PGx + Diagnostic findings.
The purpose of this webcast is to:
Discuss and demonstrate the approaches with array and NGS genotyping methods for star allele calling to prep for downstream analysis.
Following genotyping, explore alternative tertiary workflow concepts in VarSeq to handle PGx reporting.
Moreover, we will include insights users will need to consider when validating their PGx workflow for all possible star alleles and options you have for automating your PGx analysis for large number of samples. Please join us for a session dedicated to the application of star allele genotyping and subsequent PGx workflows in our VarSeq software.
How to Control Your Asthma Tips by gokuldas hospital.Gokuldas Hospital
Respiratory issues like asthma are the most sensitive issue that is affecting millions worldwide. It hampers the daily activities leaving the body tired and breathless.
The key to a good grip on asthma is proper knowledge and management strategies. Understanding the patient-specific symptoms and carving out an effective treatment likewise is the best way to keep asthma under control.
Nano-gold for Cancer Therapy chemistry investigatory projectSIVAVINAYAKPK
chemistry investigatory project
The development of nanogold-based cancer therapy could revolutionize oncology by providing a more targeted, less invasive treatment option. This project contributes to the growing body of research aimed at harnessing nanotechnology for medical applications, paving the way for future clinical trials and potential commercial applications.
Cancer remains one of the leading causes of death worldwide, prompting the need for innovative treatment methods. Nanotechnology offers promising new approaches, including the use of gold nanoparticles (nanogold) for targeted cancer therapy. Nanogold particles possess unique physical and chemical properties that make them suitable for drug delivery, imaging, and photothermal therapy.
Osvaldo Bernardo Muchanga-GASTROINTESTINAL INFECTIONS AND GASTRITIS-2024.pdfOsvaldo Bernardo Muchanga
GASTROINTESTINAL INFECTIONS AND GASTRITIS
Osvaldo Bernardo Muchanga
Gastrointestinal Infections
GASTROINTESTINAL INFECTIONS result from the ingestion of pathogens that cause infections at the level of this tract, generally being transmitted by food, water and hands contaminated by microorganisms such as E. coli, Salmonella, Shigella, Vibrio cholerae, Campylobacter, Staphylococcus, Rotavirus among others that are generally contained in feces, thus configuring a FECAL-ORAL type of transmission.
Among the factors that lead to the occurrence of gastrointestinal infections are the hygienic and sanitary deficiencies that characterize our markets and other places where raw or cooked food is sold, poor environmental sanitation in communities, deficiencies in water treatment (or in the process of its plumbing), risky hygienic-sanitary habits (not washing hands after major and/or minor needs), among others.
These are generally consequences (signs and symptoms) resulting from gastrointestinal infections: diarrhea, vomiting, fever and malaise, among others.
The treatment consists of replacing lost liquids and electrolytes (drinking drinking water and other recommended liquids, including consumption of juicy fruits such as papayas, apples, pears, among others that contain water in their composition).
To prevent this, it is necessary to promote health education, improve the hygienic-sanitary conditions of markets and communities in general as a way of promoting, preserving and prolonging PUBLIC HEALTH.
Gastritis and Gastric Health
Gastric Health is one of the most relevant concerns in human health, with gastrointestinal infections being among the main illnesses that affect humans.
Among gastric problems, we have GASTRITIS AND GASTRIC ULCERS as the main public health problems. Gastritis and gastric ulcers normally result from inflammation and corrosion of the walls of the stomach (gastric mucosa) and are generally associated (caused) by the bacterium Helicobacter pylor, which, according to the literature, this bacterium settles on these walls (of the stomach) and starts to release urease that ends up altering the normal pH of the stomach (acid), which leads to inflammation and corrosion of the mucous membranes and consequent gastritis or ulcers, respectively.
In addition to bacterial infections, gastritis and gastric ulcers are associated with several factors, with emphasis on prolonged fasting, chemical substances including drugs, alcohol, foods with strong seasonings including chilli, which ends up causing inflammation of the stomach walls and/or corrosion. of the same, resulting in the appearance of wounds and consequent gastritis or ulcers, respectively.
Among patients with gastritis and/or ulcers, one of the dilemmas is associated with the foods to consume in order to minimize the sensation of pain and discomfort.
The skin is the largest organ and its health plays a vital role among the other sense organs. The skin concerns like acne breakout, psoriasis, or anything similar along the lines, finding a qualified and experienced dermatologist becomes paramount.
Travel Clinic Cardiff: Health Advice for International TravelersNX Healthcare
Travel Clinic Cardiff offers comprehensive travel health services, including vaccinations, travel advice, and preventive care for international travelers. Our expert team ensures you are well-prepared and protected for your journey, providing personalized consultations tailored to your destination. Conveniently located in Cardiff, we help you travel with confidence and peace of mind. Visit us: www.nxhealthcare.co.uk
- Video recording of this lecture in English language: https://youtu.be/Pt1nA32sdHQ
- Video recording of this lecture in Arabic language: https://youtu.be/uFdc9F0rlP0
- 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
Giloy in Ayurveda - Classical Categorization and SynonymsPlanet Ayurveda
Giloy, also known as Guduchi or Amrita in classical Ayurvedic texts, is a revered herb renowned for its myriad health benefits. It is categorized as a Rasayana, meaning it has rejuvenating properties that enhance vitality and longevity. Giloy is celebrated for its ability to boost the immune system, detoxify the body, and promote overall wellness. Its anti-inflammatory, antipyretic, and antioxidant properties make it a staple in managing conditions like fever, diabetes, and stress. The versatility and efficacy of Giloy in supporting health naturally highlight its importance in Ayurveda. At Planet Ayurveda, we provide a comprehensive range of health services and 100% herbal supplements that harness the power of natural ingredients like Giloy. Our products are globally available and affordable, ensuring that everyone can benefit from the ancient wisdom of Ayurveda. If you or your loved ones are dealing with health issues, contact Planet Ayurveda at 01725214040 to book an online video consultation with our professional doctors. Let us help you achieve optimal health and wellness naturally.
Know the difference between Endodontics and Orthodontics.Gokuldas Hospital
Your smile is beautiful.
Let’s be honest. Maintaining that beautiful smile is not an easy task. It is more than brushing and flossing. Sometimes, you might encounter dental issues that need special dental care. These issues can range anywhere from misalignment of the jaw to pain in the root of teeth.
Are you looking for a long-lasting solution to your missing tooth?
Dental implants are the most common type of method for replacing the missing tooth. Unlike dentures or bridges, implants are surgically placed in the jawbone. In layman’s terms, a dental implant is similar to the natural root of the tooth. It offers a stable foundation for the artificial tooth giving it the look, feel, and function similar to the natural tooth.