We found 107 results that contain "tech"

 
In our last post, We had a close look at Credentialing and what it entails. We also gained insight into how healthcare companies and providers manage this very important function in healthcare recruitment. Having understood why healthcare credential management is so crucial not only from a business perspective but also ensures there are no legal implications, the stage is just right to introduce another factor closely related to Credentialing, namely Compliance.
Join me in exploring why Compliance in Credentialing is so important and how this need not be such an onerous task with specialized apps, customized specifically for online healthcare recruitments. Credential compliance is achievable with minimal stress. Let us understand how, but first-a brief background.
What is Compliance in Credentialing, and Why does it matter?
I am using the the term ‘Compliance’ to mean meeting the requirements for Credentialing and participating in effective Compliance programs as set forth by the Office of Inspector General (OIG) and the National Committee for Quality Assurance(NCQA). This includes internal auditing, monitoring, credentialing education and training, developing plans of corrective action in responding to related problems as well as enforcing credentialing standards. Most Compliance programs, while generally operating as independent entities, report to their respective boards of directors or other committees providing assistance and oversight to the process.
So, what happens if a healthcare fails to verify accurately? Without careful oversight and auditing, it is all too possible for omissions or errors to occur before, during, or immediately following the process, which could lead to enrollment issues as well as open a pandora’s box to legal problems if the process is incomplete or the provider’s privacy is compromised. Furthermore, the 1960s case of Darling vs. Charleston Hospital established the responsibility of hospitals and other healthcare facilities in verifying the professional credentials of the physicians and other providers practicing under their roof.
 
 
 
REF : links :https://targetrecruit.com/the-importance-of-compliance-in-credentialing/
 
YouTube: https://youtu.be/C6YrPt1ygX8

Even when things like ticket booking, watching TV shows, ordering food is becoming online, education is still behind in terms of online education delivery. Due to the easy availability of internet, the number of internet users is increasing rapidly. The increasing number of Smartphone users is providing a good opportunity to deliver education online.
 
Online education which includes online courses and online examinations are slowly and surely becoming popular due to the interest shown by the working professionals to learn new things and expand their knowledge about technology. More number of organizations like Byju’s is emerging to target online education for students.
 
https://www.youtube.com/watch?v=kyJnjO8cG30&ab_channel=BankPro

In the current scenario, mark sheet of the individual students are maintained by respective universities. No third party authority or any person is appointed to validate the marks or degree obtained by the student as per records of the university. If the universities decide to verify each student’s mark sheet or certificate then entire process will have to be carried out manually.
 
Block chain technology can help to eliminate such issues by offering features such as information collaboration and validation which can help to validate the student degree or marks obtained. We can see more new concepts and ideas related to collaboration oriented processes in block chain especially developed for education sector.

common myths
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other. 

TIMELINE MYTHS



The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”

CONTROVERSY MYTHS



Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.

Introduction
Humans interact with computers in any way the interface between humans and computers is crucial to facilitate this interaction. Desktop applications, internet browsers, handheld computers, ERP, and computer kiosks make use of the prevalent graphical user interfaces (GUI) of today. 
Voice user interfaces (VUI) are used for speech recognition and synthesizing systems, and the emerging multi-modal and Graphical user interfaces (GUI) allow humans to engage with embodied character agents in a way that cannot be achieved with other interface paradigms. The growth in the human-computer interaction field has been in the quality of interaction, and indifferent branching in its history. Instead of designing regular interfaces, the different research branches have had a different focus on the concepts of multimodality rather than unimodality, intelligent adaptive interfaces rather than command/action based ones, and finally active rather than passive interfaces.
An important facet of HCI is user satisfaction (or simply End-User Computing Satisfaction). "Because human-computer interaction studies a human and a machine in communication, it draws from supporting knowledge on both the machine and the human side. On the machine side, techniques in computer graphics, operating systems, programming languages, and development environments are relevant. 

Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. https://byjus.com/biology/flower/ 
NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real time. There’s a good chance you’ve interacted with NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. But NLP also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processehttps://byjus.com/biology/flower/ 

Generative AI starts with a prompt that could be in the form of a text, an image, a video, a design, musical notes, or any input that the AI system can process. Various AI algorithms then return new content in response to the prompt. Content can include essays, solutions to problems, or realistic fakes created from pictures or audio of a person.
Early versions of generative AI required submitting data via an API or an otherwise complicated process. Developers had to familiarize themselves with special tools and write applications using languages such as Python.
Now, pioneers in generative AI are developing better user experiences that let you describe a request in plain language. After an initial response, you can also customize the results with feedback about the style, tone and other elements you want the generated content to reflect.

What better way to start this new century than to go over the pros and cons of the 4th Industrial Revolution. The 4th industrial revolution is a term coined by Professor Klaus Schwab. He is the founder and Executive chairman of the World Economic Forum, so he has some good credentials. He described the 4th industrial revolution as a “current and developing environment in which disruptive technologies and trends such as the Internet of Things, robotics, virtual reality and Artificial Intelligence are changing the way people live and work”. So this is the era of AI and machine learning, genome editing, 3D printing, Internet of Things, augmented reality, autonomous vehicles, and much more. And we’re not talking about the future here. These things are currently affecting our personal and work life and they are ever evolving.