Covid forced us to search for novel ways to improve healthcare services. mHealth provided a robust answer to the situation, and it helped us recover our lifestyles and opened up doors to a myriad of opportunities. The contract tracing in digital form was introduced thanks to the conjugation of healthcare into smartphones. This allowed the epidemiologists to monitor and control the diseases better.
Another new exploration was with the fitness apps, and these helped patients and common people monitor their vitals and check their progress daily. Using sensors, the mHealth fitness tracking devices could even help us with our daily diet regime, calories burnt, or water intake. Using smartphones, many healthcare applications did wonders using sensors such as accelerometers, gyroscopes, thermometers, magnetometers, and even blood pressure monitors. Some advanced phones even used hall effect sensors, barometers, or proximity sensors, further revolutionizing the way we monitored health.
Mobile health even impressed government authorities, showcasing how they can save time and money using virtual applications. The use of mHealth apps only led to awareness about vaccination. A simple caller tune transformed into a Covid awareness message helped provide information to millions, free of cost.
Artificial intelligence-powered insurance claims analytics software would speed up the entire workflow with fewer errors and greater accuracy. Insurance claims processing considers the services rendered by the providers, checks the necessity or validity of those services, and cross-references them with the health plans of the patient. If everything seems to be in order, the claims are accepted and the provider reimbursed. But if there is a slight discrepancy, the claim might be denied or rejected.
Earlier, the health industry depended on paper-based and manual systems to organize, store, and analyse patient health informatics. This is where information technology comes into play by introducing a rapid advancement and invasion of the healthcare sector. Physicians and healthcare organizations can now efficiently store data on secure cloud-based systems. Health Informatics is a combination of health and information technology. Health informatics refers to a process that involves data collection, storage, retrieval, and presentation in a digital format to help...
Insurance Claim Analytics - Osplabsosplabs.com
Reduce billing errors and manage the revenue cycle using OSP's automated insurance claim analytics. We can help you detect fraud and attain interactive dashboar...
The present times have seen the rise of the virtual healthcare scenario. EHR systems in healthcare have, consequently, risen to the occasion. Health access is still limited in many areas, especially remote locations and villages. EMR systems in healthcare offer patients the convenience of reaching out to physicians anytime from anywhere. Elderly patients and chronic needs can also benefit from virtual medical health records. They can have virtual consultations through...
How Can Big Data Be Used In Insurance Claims Analytics?
MD: Big data helps the analysis of large amounts of structured and unstructured data. Let us see how health care providers and insurers can use big data in insurance claims analytics.
Big data is the technology that facilitates the analysis of large amounts of structured and unstructured data. Healthcare providers and insurers can use big data to devise models. Machine learning algorithms can be developed to train insurance claims analytics machines to...