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Five Emerging Technologies In Telemedicine

Telemedicine, a field that merges healthcare with advanced technology, has been rapidly evolving to meet the increasing demand for remote healthcare services . Here are five emerging technologies that are shaping the landscape of telemedicine: Artificial Intelligence (AI) and Machine Learning (ML): AI and ML play a pivotal part in telemedicine by enhancing diagnostic accuracy, treatment planning, and patient care. Machine learning algorithms analyze vast amounts of medical data to identify patterns and make predictions. AI-powered chatbots assist in initial patient triage, gathering preliminary information, and directing patients to appropriate care. Additionally, AI-based image recognition tools aid in interpreting medical images, such as X-rays and MRIs, if quick and accurate diagnostics, especially in areas with a shortage of specialists. Virtual Reality (VR) and Augmented Reality (AR): VR and AR technologies are transforming telemedicine by enabling immersive experiences fo...

Measuring Appointment is Not the Same as Listening

 

Measuring Appointment is Not the Same as Listening

In an attempt to improve the employee enjoy, companies are at the verge of making it worse. HR professionals are captivated with the idea of “non-stop listening” and trying to relieve survey fatigue by using asking personnel a small set of questions techsupportreviews   repetitively to music troubles over time, writes Dr. Sarah Johnson, Vice President Enterprise Surveys and Analytics,

The hassle is that real listening requires businesses to ask a number of statistically-relevant questions about worker surveys. But greater than that, the survey fatigue isn’t because employees are tired of multi-query surveys. They’re bored with answering the same questions time and again and seeing little action. They’re uninterested in no longer being listened to.

This perception of Continuous Listening has end up a chunk of a buzzword in HR circles. While Continuous Listening is the subject of dozens of articles and presentations, there's no unmarried, clear, and agreed-upon definition of "continuous listening."  Continuous listening would possibly suggest a excessive-frequency survey layout, be it every day, weekly, month-to-month.  It may want to imply a combination of an annual worker engagement surveys and lifecycle surveys, which add the mixture of onboarding and exit surveys into the combination.  Special subject matter pulse surveys can be delivered in for true measure. Continuous listening approach Continuous Data, an ongoing float of survey responses from personnel. The facts is from a couple of factors in time, and might or might not consist of various subject matter regions and employee subgroups.

Companies pay attention to their customers constantly, so why not listen to the same manner to employees? Customers are requested for feedback once they have had a described interaction with a employer.  It might be a sale, it might be a carrier name, or it is probably every other revel in with the enterprise. The survey is designed to apprehend the factors of that particular interplay and allow for problem-solving.

If the model of gathering non-stop patron information is a valuable reference factor, could we do the same for employees?  Can we send relevant inquiries to precise personnel to gain insights at the moments that count number of their dating with the employer, whether or not that is onboarding, a advertising into control, of entirety of a improvement software, or exiting the business enterprise? Could we make the results to be had just to particular customers which are empowered to act, or to all personnel to boom transparency?  Absolutely. Technology permits for all of that. But most effective due to the fact generation enables us to do something doesn't mean we have to do it.  At the very least, we need to be considerate in how we put in force any type of technology.

Collecting facts from personnel constantly feels like a splendid concept and potentially valuable. And it can be, assuming it's far performed efficaciously.  So, what are a number of the potential errors that agencies need to avoid when implementing non-stop listening applications and improve worker engagement?

Choosing technique before determining approach

Much of the eye given to Continuous Listening is the point of interest it has located on a technique, as opposed to on how the information are for use.  Implementing a quarterly/monthly/daily survey without a clean strategy for what's to be measured, why the data are wanted, and who will use the data is a recipe for failure. When it involves Continuous Listening, there may be no one-size-suits-all, no unmarried design or technique that works for every organisation.

Collecting the incorrect information

An hourly, every day, weekly, month-to-month, or annual feed of records is vain if it isn't The Right Data. The Right Data is illuminating, insightful, actionable, and precious.  The wrong information are deceptive, beside the point, puzzling, and now not actionable.  It doesn't remember how contemporary the data are, or how regularly updates are provided.  If it isn't The Right Data, it is entirely unnecessary. Continuous listening is most valuable whilst the records desires of the organization drive it.  Organization method inevitably has human beings's implications, whether or not the ability to keep important expertise, reshape lifestyle, manipulate worldwide boom, or talk in new methods. Designing a listening software around strategic tasks permits HR staff to return to the table with information and records that allow senior leaders to make the right statistics-driven decisions about humans.

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