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  A radiology information platform has multiple features that are bound to vary depending on the company that makes it. But some features are common in speeding up the workflows at hospitals and boosting staff productivity. If you’re an administrator at a hospital looking for a good radiology solution to implement, there are a few features that you can look at before making a decision. Let’s see what they are –  1. Document Management It should come as no surprise that radiology departments at large hospitals are bound to deal with lots of documentation. These would typically include doctors’ prescriptions, patient history, and other information. The more patients the departments see, the greater the volume of documentation they would need to handle. Additionally, the images and results of scans would also need to be stored and processed to be shared with treating physicians of every patient. So, using a pen and paper system with physical documentation is undoubtedly slower and more cu

Telehealth is one of the most talked-about things in the healthcare industry. As the name indicates, it involves the use of internet and telecommunication technology to provide healthcare services from a remote location. Although the idea behind telehealth is not new, it took a pandemic and curfews for it to be taken seriously. The pandemic saw the number of remote consultations grow significantly. But the thing that makes telehealth realistic and practical is EHR System . EHR or electronic health records is exactly what the name suggests. It is a repository of patients’ medical information stored in digital format. The benefit of using EMR/EHR systems is that providers can pull up patient history with a few clicks and know about the health of their patients better before finalizing treatments. This is especially helpful in case of accidents, emergencies, or other scenarios where the patient might not be able to communicate effectively with their treating physician. Certain pre-existin

 Healthcare payment systems focus on substituting cost-effective value for the volume aligned with a healthcare provider's financial incentives in the healthcare sector. The payment industry is growing at a very rapid pace. There are some costs called admin costs, which are poised to increase consumerism changes that reshape the healthcare industry, impacting providers doing the business.  Healthcare payment solutions provide structured payment models that help patients pay for their treatments directly or via insurance coverage. Earlier, there used to be Paper-based payment models for the payments, and now there is a digital health payment system that is adopted in the healthcare industry for a hassle-free process. Nowadays, the healthcare sector is already transitioning from the healthcare payment systems based on the volume of the services provided, known as fee-for-service, which are also called value-based healthcare payments. The healthcare providers and the payers are chang

  The Evolution of Mobile Healthcare solutions has altered how we think about providing care to chronically ill patients and how people manage their health and fitness. In general, these platforms have shown promise to improve the quality of health care delivery, patient satisfaction, self-care routine, patient engagement, and behavioral interventions.  Besides this, technology solutions need to keep evolving. Specific requirements are essential to meet the needs of the reintegration practitioner, where health workers will need to lend their expertise to teams developing mHealth systems. However, there are significant knowledge gaps regarding the long-term effects, acceptability, costs, and risks of such interventions, and there is still much work to be done.

Every business in every industry runs its operations according to certain parameters. Needless to say, all of them generate operational data that holds valuable insights about various aspects of the business. As a result, data analytics has emerged as the hottest skill set that all companies, small and large, have begun looking for. Whether it is an airline, a chain of hotels, fast food joints, a shipping corporation, a software company, or even a financial services provider - every company needs data analytics. Healthcare is no different. Healthcare payers are an integral part of the overall industry. No doctor in the United States offers his or her services without knowing that he or she will be reimbursed for it by a payer. In light of such ubiquity, Healthcare payer analytics has shown great promise in helping payer organizations to streamline operations and boost productivity. Most of all, it helps insurance payers to analyze provider patterns, namely bundled payments, and evalua

Americans spend a lot of money on healthcare. Healthcare spending in the United States has crossed $3.7 trillion, which is more than the entire economies of all but 4 countries. In addition to the cost of care itself, a major factor driving the high prices is the existing model of the healthcare payment system , which is called the fee-for-service model.   The Problem With Fee-For-Service Model Under the fee-for-service model of payments, a provider gets paid for every single aspect of care. For example  - when a man goes to a clinic for a consultation, he has prescribed some tests or sometimes might even be asked to get some scans. Subsequently, when the results arrive, they may or may not be definitive. If they are not, then the man would probably be asked to take more tests. Later on, he will be recommended appropriate treatments which are outpatient in nature, or through medication. In this entire scenario, each provider gets paid for the consultation, prescribed tests, and treatme

Analyzing insurance claims is an integral part of the American healthcare industry. Insurance payers offer a wide range of coverage for people who are part of a broad array of health plans. Whenever they receive a claim from a provider, they need to process the claim to know if the medical services rendered are covered in the corresponding health plan. This is perhaps the most important part of an insurance company’s operations and it’s where solutions for insurance claims analytics play a big role. Artificial intelligence might be one of the biggest tools for payers to boost the efficiency of their claims processing activities. Claims assessment is nothing but data analytics, and artificial intelligence has demonstrated impressive capabilities of processing large quantities of information and churning out valuable insights that help the bottom lines of companies. Many industries from shipping, to e-commerce, social media, and wealth management have leveraged the power of artificial i