Businesses are investing in AI-driven customer retention strategies because it helps in improving customer engagement & helps in expediting the revenue process & as a result, it increases the business's profitability. Below are the key reasons for this investment.
In the healthcare domain , diagnostics be it from a lab report, Image (X-ray) or a computer vision , the accuracy and precision of results inferred from the tests become very much significant. Artificial Intelligence (AI) and Machine Learning (ML) in healthcare revolutionizing diagnostic accuracy, reducing human errors, and enabling faster data-driven decision-making.
Automation is changing the character of work, with both challenges and promises. From chatbots handling customer queries to robots in factories, it is making work faster, more efficient, and less tedious. With these developments come concerns over job security, shifting skill sets, and where human workers fit in all this. In this blog, we’ll explore how automation is transforming workplaces, what skills are becoming essential, and how businesses and employees can embrace these changes.
Revenue leakage in hospitals refers to the loss of potential income due to errors, inefficiencies, or overlooked billing opportunities. It often arises from inaccurate patient data, coding mistakes, or delayed claims processing. These issues can result in underpayments, missed charges, or even claim denials. Over time, these small gaps can lead to substantial financial losses, making it vital for hospitals to identify and address revenue leakages promptly.
Today, both humans and machines are consuming data. People use various applications on many different devices — smartphones, laptops, tablets, and desktops and each devices come with different screen sizes. We should build apps that look good and work well across all these devices. An API-first strategy allows to build APIs that serve all applications, and applications can be developed and maintained efficiently for all devices, platforms, and operating systems.
AI and blockchain is potentially a powerful combination that results in trustworthy transactions, enhancing the automation & increasing the efficiency in multiple industries. Below are some areas where AI & blockchain complement each other.
The healthcare industry is undergoing a transformative shift, and one of the driving forces behind this change is the Internet of Things (IoT). IoT solutions in healthcare help streamline operations, improve patient outcomes, and enable better management of resources. But with the vast array of IoT solutions available, it can be difficult to determine which features truly make a difference. In this blog post, we will explore the key features to look for in healthcare IoT solutions to ensure you choose the right technology for your needs.
With constant demand for fast innovation without compromising the expected levels of security, scalability, and reliability, enterprises today are caught in a very fast-paced digital world. In its very essence, this is the ongoing debate: whether to adopt low-code platforms for the enterprise applications or stick to the conventional method of application development.
Digital transformation is reshaping how business operates by improving efficiency, enhancing customer service, and offering greater flexibility. However, the adoption of technologies such as cloud computing, AI, big data, and IoT brings with it inherent compliance challenges. Regulations like GDPR, HIPAA, and CCPA have strict standards for data protection, security, and management.
In healthcare, operational efficiency is essential for sustaining growth and ensuring quality patient care. One of the most effective ways to optimise this efficiency is through effective Revenue Cycle Management (RCM).
