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कॉल डिटेल रिकॉर्ड्स (सीडीआर) क्या हैं?
Call Details: कॉल डिटेल रिकॉर्ड प्रमुख मेटाडेटा के बारे में बताता है कि आपके व्यवसाय फोन सिस्टम का उपयोग कब और कैसे किया जा रहा है। यहाँ रिपोर्टिंग और बिलिंग के लिए सीडीआर के बारे में अक्सर पूछे जाने वाले प्रश्न हैं। एक कॉल डिटेल रिकॉर्ड (सीडीआर) एक फोन सेवा पर की गई कॉल के बारे में जानकारी प्रदान करता है। CDR रिपोर्ट व्यवसायों को रिपोर्टिंग, और बिलिंग उद्देश्यों के लिए कहां, कब और कैसे कॉल के बारे में सटीक उत्तर दे सकती है। कॉल डिटेल रिकॉर्ड (सीडीआर) क्या है? एक सीडीआर मेटाडेटा प्रदान करता है - डेटा के बारे में डेटा - कैसे एक विशिष्ट फोन नंबर और / या उपयोगकर्ता फोन प्रणाली का उपयोग कर रहा है। इस मेटाडेटा में आमतौर पर शामिल हैं: जब कॉल हुआ (दिनांक और समय) कितने समय तक चली (मिनटों में) किसने किसे बुलाया (स्रोत और गंतव्य फोन नंबर) किस तरह की कॉल की गई थी (इनबाउंड, आउटबाउंड, टोल-फ्री) कॉल लागत (प्रति मिनट की दर के आधार पर) सीडीआर में एसएमएस मैसेजिंग मेटाडेटा और कोई अन्य आधिकारिक संचार प्रसारण भी शामिल हो सकता है। हालांकि, सीडीआर के माध्यम से संदेश / कॉल की सामग्री का पता नहीं चलता है। कॉल डिटेल रिकॉर्ड से पता चलता है कि कॉल या मैसेज हुए थे, और बेसिक कॉल प्रॉपर्टीज को मापता था। क्लाउड फोन सिस्टम पर उपयोगकर्ता से उत्पन्न एक उदाहरण के रूप में निम्नलिखित सीडीआर रिपोर्ट पर विचार करें । सीडीआर महत्वपूर्ण क्यों हैं? एक सीडीआर लॉग आपके फोन सिस्टम पर हर बिल योग्य संचार संचरण को सूचीबद्ध करता है। यह फ़ोन कंपनियों को आपके फ़ोन बिल जेनरेट करने की अनुमति देता है, और आपको अपने फ़ोन सिस्टम का उपयोग कैसे और कब किया गया, इसका निश्चित रिकॉर्ड रखने देता है। वे कॉल रिपोर्टिंग और बिलिंग में सहायता के लिए मुख्य रूप से व्यवसायों द्वारा उपयोग किए जाते हैं। बिलिंग विभाग विवादों को हल करने के लिए सीडीआर का उपयोग करते हैं, फंडिंग कैसे खर्च की जाती है और टेलीफोन प्रणाली के उपयोग का रिकॉर्ड रखते हैं। आईटी विभाग सीडीआर का उपयोग यह निर्धारित करने के लिए भी कर सकते हैं कि फोन सेवा में कोई व्यवधान था या नहीं। सीडीआर का उपयोग कॉलिंग ट्रेंड की पहचान करने और कर्मचारियों के फोन के उपयोग में अंतर्दृष्टि प्राप्त करने के लिए किया जा सकता है। यह एक व्यवसाय को पैटर्न और प्रवृत्तियों का विश्लेषण करके बेहतर प्रबंधन और कर्मियों के निर्णय लेने की अनुमति देता है। सीडीआर रिपोर्ट में क्या शामिल है? एक सीडीआर रिपोर्ट आमतौर पर उपयोगकर्ता या फोन नंबर द्वारा टूटे हुए डेटा को दिखाती है। एक एकल उपयोगकर्ता के लिए उत्पन्न सीडीआर रिपोर्ट विशिष्ट मीट्रिक, जैसे कॉल वॉल्यूम और मिनट, उस व्यक्ति के लिए दिखा सकती है। एक फोन नंबर के लिए एक सीडीआर आपको एक पक्षी के बारे में अधिक जानकारी देता है कि आपके फोन का उपयोग व्यापार-व्यापी स्तर पर कैसे किया जाता है। अलग-अलग कर्मचारियों के लिए सीडीआर रिपोर्ट तैयार करना यह पता लगाने के लिए उपयोगी है कि फोन पर सबसे लंबा कौन है, कॉल अवधि क्या है और प्रत्येक कर्मचारी कितने पैसे प्रति कॉल पर खर्च करता है। इससे आपके कर्मचारियों का बेहतर प्रबंधन हो सकता है, और आपके व्यवसाय के लिए संसाधनों को बचाया जा सकता है। एक विशेष फोन नंबर के लिए सीडीआर रिपोर्ट, दूसरी ओर, यह इंगित कर सकती है कि कॉलिंग मिनट पर कितने विशिष्ट कार्यालय या समूह खर्च कर रहे हैं। यह उपयोगी है यदि आपके व्यवसाय में विभिन्न स्थानों या विभागों के लिए कई फोन नंबर हैं। इस तरह की रिपोर्ट आपको अपनी कंपनी की कॉलिंग गतिविधियों पर एक समग्र नज़र रखने की अनुमति देती है।
WhatsApp vs GroupMe | Which one is the Best?
WhatsApp vs GroupMe WhatsApp WhatsApp Messenger, or just WhatsApp, is an American freeware, cross-platform centralized messaging and voice-over-IP service owned by Facebook, Inc. It permits customers to send textual content messages and voice messages, make voice and video calls, and share pictures, documents, person areas, and different content material. WhatsApp makes use of your cellphone’s mobile or Wi-Fi connection to facilitate messaging and voice calling to just about anybody on the planet, alone or in a group, and is very good for households and small collaborative workgroups. The app enables you to make calls and send and obtain messages, paperwork, pictures, and movies. How do WhatsApp works? WhatsApp is free — with no charges or subscriptions — as a result of it makes use of your phone’s 5G, 4G, 3G, 2G, EDGE, or Wi-Fi connection as a substitute for your cell plan’s voice minutes or textual content plan GroupMe GroupMe is a mobile group messaging app owned by Microsoft. It was launched in May 2010 by the personal firm GroupMe. In August 2011, GroupMe delivered over 100 million messages every month and by June 2012, that quantity jumped to 550 million. In 2013, GroupMe had over 12 million registered customers. GroupMe brings group textual content messaging to each cell phone. Group message with the individuals in your life that might be essential to you. How does it work? Users enroll with their Facebook credentials, Microsoft/Skype logins, phone numbers, or E-mail addresses, and they're then capable of sending personal or group messages to different individuals. GroupMe messaging works throughout platforms — all you want is a tool (iPhone, Android, computer, or pill) and Wi-Fi or knowledge to get related. To Continue to Click Here
Problems Faced in Automation in CDM
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 to understand better about on ground Problems faced by the Industry. 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. Learn the best Clinical Research Course. Improvement in AI and automation Artificial intelligence (AI) has great potential to identify eligible patients for clinical trials. However, the reality is quite different from expectations. The major problem has been the development of sophisticated algorithms. Other barriers include the unstructured format of data and how to integrate that data into the clinical workflow of stakeholders. Clinical trial stakeholders can indefinitely benefit from a data exchange network, particularly one established between clinical trial sites and sponsors. The network would collect and analyze data before sharing it with relevant stakeholders, improving overall quality. Sponsors shall be able to share important information with sites, including draft budgets and protocol documents. At the same time, sites shall be able to update sponsors in real-time on impending matters, such as patient registrations. This would ensure an unhindered flow of information through integrated systems. However, sites should remember that not all information can flow freely and should be careful while sharing protocol-specified data with sponsors. EHRs have protected health information (PHI) and non-protocol-specific data, which would put patients’ confidential data at risk if shared.
Careers in IT Industry
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 artificial intelligence, software development, or data science, what kind of jobs should you search and apply for, and what skills will you require to get hired? Most importantly, how much salary can you expect from the job you have chosen. 1) Machine Learning Engineer: This particular branch of artificial intelligence is ideal for you if you have a desire for a career in a growing and fast-moving industry and a passion for computer science. Machine learning engineers utilize data to create complex algorithms to eventually program a machine to carry out tasks similar to a human. Economic forecasting, natural language processing, and image recognition are implemented in the algorithm so that the machine can learn, improve, and function without human interference. What degree do you require? A knowledgeable background in computer science along with artificial intelligence is a must, and a master’s degree is also essential for a career in software development. 2) UX Designers: User experience (UX) designers are responsible for working on ‘behind-the-scenes’ designs for ensuring that a website, software, or app meets consumers, behaviors, motivations, habits, and needs. More and more companies are turning to social media and digital platforms to promote and sell their products and sellers. It has gotten important, now more than ever before, to ensure a user’s experience and journey are smooth and without any interruptions. What degree do you require? A relevant undergraduate degree, such as computer science, is required. A postgraduate degree works wonders. Furthermore, some professional experience is also a must. 3) Cloud Engineer: Cloud computing has become a saving grace for people who have been working remotely, particularly during the last year. A majority of organizations are actively recruiting hiring people who have the skills and knowledge of incorporating structures and performing cloud-related tasks. Cloud engineers are often referred to by different names, including cloud developers, sysops engineers, and solutions architects. Often the role and responsibilities shall remain the same, including plan, monitor, and manage an organization’s cloud system. However, in some instances, these roles and responsibilities can vary to an extent. Cloud systems that you are usually required to be familiar with include Slack, Google Cloud, and Microsoft 365, only to name a few. What degree do you require? A postgraduate degree is always required, along with the relevant professional experience of some years. 4) Robotics Engineer: In the times of rapidly evolving technology, as a robotics engineer, you shall be required to analyze, configure, reassess, test, and maintain prototypes, robotic components, integrated software, and machines for the manufacturing, mining, and automotive services industries, among other roles and responsibilities. As a robotics engineer, you are required to be patient and apt in rational thinking for performing highly technical jobs. In the coming years, we shall likely see a boom in this job sector and how modern technologies and robotics can help the business, society, and the healthcare sector. What degree do you require? A master’s degree in robotics or computer science can set you up with the skills and knowledge you require for the job. Furthermore, the relative experience is required to break into the field of robotics engineering. 5) Data Scientist: Data scientists’ jobs are not new and are rapidly emerging along with other tech jobs, including cloud engineers, machine learning engineers, and robotics engineers. Data scientists are often considered a hidden gem in any organization. As businesses and organizations gather and use more data every day, the demand for data scientists has increased. With opportunities to work in virtually every sector and industry, from IT to entertainment, manufacturing to healthcare, data scientists are responsible for compiling, processing, analyzing, and presenting data to the organization in order to make more informed decisions. What degree do you require? You are required to have a clear understanding of data science and data analytics to stand out in this field. A relevant postgraduate degree in data science, computational and applied mathematics, or e-science can help you breakthrough in this field and develop data-driven skills. These are some top jobs in software industry that are expected to be in high demand in the coming future.
Give Automation Tool to Your Growing Business
Time is one of the best gifts you can give to your organization. Employees often suffer from routine and repetitive tasks that prevent them from focusing on more fulfilling, high-value jobs. Your team prefers to engage in long-term business growth and smart strategies if they have more time. Many of the day-to-day business activities have grown into self-employed and can help reduce repetitive tasks. For example, if your sales team had more time for selling and high-level planning instead of filling out reports, for instance. When employees are stuck in the process of repeating data entry and monitoring activities, valuable time is wasted and can be spent on strategies and business development. Also, these types of tasks are quick and easy to manage on their own and are generally less important. If your business isn’t automating at least some of the following tasks, you’re taking precious time away from your teams that could be better spent Some of the low-hanging fruit from automation: Sales order creation Routine customer service communications and notifications Order processing Basic human resources tasks Accounting tasks and financial report generation Materials requirement planning Product and service delivery Project management Inventory management Invest in Automation to Save Time Can the ERP software be able to automate these tasks? The main advantage of ERP is the ability to automate and implement business operations and develop better employees and organizations. The sharing and distribution of data and processes makes it easy for different departments to share data and integrate without any hassle. If you aren’t taking advantage of these automations to give your teams more time to focus on higher-value tasks, you’re doing a major disservice to your company. If you do not have an ERP system in place, you should consider investing. ERP utilizes artificial intelligence (AI) and machine learning to a standardized business model to deliver quality and storage value across the business environment. It also provides team members with valuable tools to help them perform better. ERP improves the entire process, from real-time viewing of product samples to direct access to customer data and history. This not only helps team members, but saves valuable time and allows you to focus on business growth and planning. How cloud ERP can help you reduce business costs, automate day-to-day operations, and most importantly, give your team valuable time? The Internet of Things (IoT) which is integrated with the design of business resources also allows integration and development in all environments using a small sensor. This allows you to track products and accessories as they navigate. The result is longer life expectancy, reduced maintenance costs, and time savings. The IoT provides more information on how customers use the product. This helps improve product design and advertising efforts, especially because organizations have more free time to focus on these types of efforts. If you are not using ERP Software to manage your day-to-day operations and do not give your team time, you need to adjust your current system. Increasing productivity and directing and simplifying work as a whole is important to provide team members when they need to focus on developing their business. The ERP system may not be implemented and may refuse to invest. Our guide explains how cloud ERP can reduce business costs, automate day-to-day operations, and, most importantly, give your team valuable time.
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. . Take Clinical Research Course from the Best. 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. The ICTRP was established with the aim to make information about all clinical trials that involve humans publicly available. It also aims to achieve the following: ● Improving the comprehensiveness, completeness, and accuracy of registered clinical trials data; ● Communicating and raising awareness of the need for registering clinical trials; ● Ensuring the accessibility of registered data; ● Building capacity for clinical trial registration; ● Encouraging the utilization of registered data; and ● Ensuring the sustainability of the ICTRP. . Take the Best Training in Clinical Research. The Secretariat of the ICTRP is housed by the World Health Organization in its headquarters in Geneva and is responsible for the following: ● Publishes the ICTRP search portal: A database and website that makes it possible for every person in the world to search for free data provided by clinical trial registries around the world. The data is updated weekly and meets WHO’s criteria for content and quality. ● Supports the WHO registry network: A forum created to establish and work together for the purpose of clinical trial registries. It aims to establish best practices for clinical trial registration and the collection of high-quality, accurate data. ● Supports different countries and regions: It aims to establish clinical trial registries or policies on trial registration.
Problems that occur while Data Sharing in Current Time.
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 decision-making. It will automated information exchange and ensure elevating clinical trials to new levels. Standardization and automation of clinical data will make it more easily accessible and usable, and shareable. Automation in Clinical Data Management shall push the boundaries of what can be achieved in the clinical research industry. A new and advanced approach to data collection, management, integration, and analysis shall enable data exchange, prompting researchers, sponsors, and medical professionals to make fast evidenced-based decisions. Data sharing has made it possible to quickly determine the safety and efficacy of new drugs and treatments for different patient populations.
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Principles regulating clinical trials worldwide
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 Training in Clinical Research. 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 benefit from international clinical research. ● Obtaining clear, transparent, and informed consent from participants. ● Allowing participants to withdraw at any point of time from a clinical trial. ● The outcome of the clinical research should provide benefits to society without doing any harm to the participants who volunteered to participate in the clinical trial. ● Any unintended response to a drug or medical product should be considered an adverse reaction. ● A declaration of confirmation by the auditor that an audit has been conducted. ● The auditor should provide a written evaluation of the results of the audit. ● A written description of a clinical trial or study. ● Report of placebo or any investigational product if used in the clinical trial. ● The ethical and moral obligation to protect patients and reap clinical research benefits. . Take Clinical Research Course from the Best. The conclusions derived from the results of a clinical trial conducted worldwide generally apply to all study centers and countries. It increases the pace of drug development and facilitates the approval process of the tests and treatments in foreign markets. However, clinical trials face several challenges that they should overcome to ensure optimal conduct and coordinate clinical trial sites that operate under different regulations, technical, cultural, and political conditions. Clinical trial sponsors are responsible for obtaining consensus among clinical experts and regulatory agencies regarding fundamental questions that include a consistent diagnosis.