Posts

Several Clinical trial phases

  Clinical trials are a type of research conducted to study new tests, treatments, and drugs and evaluate their outcomes, side effects, and efficacy on human health. There are various medical interventions, including drugs, biological products, radiological procedures, devices, behavioral treatments, surgical procedures, and preventive care in which people volunteer to take part. Take Best Clinical Research Training for experience and in dept knowledge.  Clinical trial phases Biomedical, clinical trials include the following four clinical research phases :   ●        Phase I of clinical trials usually studies new drugs for the first time in a small group of people to evaluate a safe dosage range and identify side effects. ●        Phase II of clinical trials studies test treatments that were found safe in phase I of clinical trials. However, phase II is conducted on a larger group of human subjects for monitoring any adverse effects. ●        Phase III of clinical trials is
Post a Comment
Read more

WHO’s International Clinical Trials Registry Platform (ICTRP)

  People from more than one country and one medical or research institution can participate in a clinical trial. Different countries have different clinical research requirements, so one clinical trial may be enlisted on more than one registry. That clinical trial shall appear on the database of more than one registry. However, data on various clinical trial registries varies. Learn Clinical Research from the Best Provider for great knowledge into this field.   The International Clinical Trials Registry Platform (ICTRP) is a global initiative by WHO, responsible for linking clinical trial registers worldwide for ensuring a single point of access and the apparent identification of clinical trials. This was done with the view that participants, patients, families, and patient groups have easy access to information. Take Best Clinical Research Training or on ground experiences.   The ICTRP was established with the aim to make information about all clinical trials that involve h
Post a Comment
Read more

Clinical research training

  Clinical research training programs are designed for clinicians and scientists around the world. These research training programs provide advanced training in healthcare methods and research. The training often incorporates in-person seminars and dynamic workshops. It focuses on enhancing clinicians’ and staff skills, knowledge, and ability at every phase of the research, particularly for pre-clinical research phases. The training includes writing grant proposals and launching new projects for analyzing data and presenting their clinical results. Take the best Clinical Research Training for in dept knowledge and experience.   Principles regulating clinical trials worldwide Clinical trials are required to follow the following guidelines and more to ensure the safety of patients and efficacy of tests and treatments. However, stringent requirements may force clinical trials to shift to low-income and middle-income countries depriving the local population of the opportunity to
1 comment
Read more

Problem with current data sharing

  The current mindset that all data, automated or otherwise, is proprietary and its exchange could prove competitively disadvantageous is a hindrance. Apparently, some data is proprietary but more data should be shared to mitigate the complexity and rising costs of clinical trials, prompting sponsors to run more efficient clinical trials with faster enrollments. These outcomes will lead to enhanced medical research and development, bringing new therapies and treatments to the market faster. An intelligent Clinical Data Management System (CDMS) shall prove beneficial for scientists who look forward to interacting with the data, rather than just collect, organize and integrate them. Conclusion                                          A data system is required that allows free flow of data, connects patients, monitors, researchers, data managers, CROs, and sponsors, ensuring best clinical decision making in real-time. It will also lead to quantitative analysis of data and data-driven
Post a Comment
Read more

Factors Affecting enhancement of Automation in Clinical Data Management

  Standardization of data Data should be standardized before automated sharing. It will lead to a faster collection of trial evidence and better analysis, enhanced transparency, faster start-up times, increasing the predictability of data and processes, and easier reuse of case reports across different studies. Take Clinical Research Training from the Best Provider in Town.   Interoperability of EHRs for automation Although the use of EHRs has not been optimal, they have yielded great benefits at low costs and less time and presented significant possibilities for research. The collection, organization, exchange, and automation of data depends on the effective use of electronic health records (EHRs). However, EHRs have a history of poor interoperability and insufficient quality control and security of data. The way data is stored in these records often varies across institutions and organizations. Sharing the data becomes a struggle since there is no standard format for EHRs. Lear
Post a Comment
Read more

What is CDM? Clinical Data Management

Clinical Data Management (CDM) holds the entire life cycle of clinical data from its collection to exchange for statistical analysis in support of performing regulatory activities. It primarily focuses on data integrity and dataflow. Clinical Data Science (CDS) has expanded the scope of CDM by ensuring the data is reliable and credible. Risk-based data strategies are essential to consider as the most important component in the automation of clinical data management. Other solutions include identifying sites for clinical trials, targeting the right audience, recruiting the right patients, collecting reported outcomes, obtaining digital consent, remotely screening patients, and conducting decentralized trials. Not all data collected is useful for statistical or other analysis. There has been a steady increase in data volume; CDM can ensure which data needs to be collected to support further analysis. CDM is responsible for generating structured and unstructured data from various sou
Post a Comment
Read more

Future in the IT World

Image
  Even before the coronavirus struck the world in 2020, technologies such as artificial intelligence (AI), machine learning (ML), data analytics, and cloud computing had snowballed over recent years. However, they have become essential in today’s society amid the current global health crisis only within a year.   There is a strong driving force behind these technological adaptations, demand for jobs, IT industry trends , and individuals with skills and knowledge that meet the requirements of digitally transformed industries and sectors has also increased exponentially.   According to Indeed, an online jobs portal, it was reported in 2018 that the demand for artificial intelligence (AI) skills and jobs in IT industry had more than doubled since 2015, with the number of job postings increasing by 119 percent.   Let’s dive in and take a look at some of the prominent careers that shall be redefining the technology industry in the future. Whether you wish to pursue a career in
Post a Comment
Read more