Nalashaa Healthcare Blogs
In the previous blogs, we have defined the Transparency of Coverage rule’s compliance requirements and their corresponding solutions. Now that the expectations from the solution is set, here we are looking at the implementation. Let’s cut straight to it. The implementation approach will depend on various technological factors such as cloud platforms,…
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As the dates set for public disclosure requirements, Jan of 2022, draws close with every passing day, it is best for everyone involved if health plans got themselves aligned with…
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The Department’s guidelines on ensuring transparency in coverage are quite elaborate on the context and objective of disclosing information. Our previous blogs outline the disclosure requirements for both the Participants, Beneficiaries, or Enrollees, and the public.…
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Access to healthcare is undoubtedly one of the most important factors in leading a well-rounded, healthy life. Although access alone is not enough, healthcare must also be easy to comprehend…
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The healthcare industry is witnessing a cultural shift, and aligning business goals along member-centricity. This shift is propelled by both member expectations as well as the plethora of rules and regulations. One such…
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With the onset of consumerism in healthcare, health plans must be prepared to make adjustments or modifications to IT systems and business processes to include the oncoming set of rules…
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Today, data is everywhere and in many forms. The processing power to crunch huge amounts of data and get analytical insights is exponentially increasing. Cloud technologies are boosting the effective…
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When Deepmind’s AlphaGo defeated Lee Sedol, a top professional Go player, in the year 2016, deep learning (DL), a subset of machine learning (ML), became the buzz word instantly all over the world. After the demonstration of AlphaGo’s…
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Although at the beginning of the 21st century, many businesses had started to focus on data, the COVID–19 pandemic has forced organizations to develop and adapt to a must–have data-driven culture at all levels. Data was once a business byproduct for many organizations. Now, data itself is a key driver for…
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We are witnessing a rise in the use of AI/ML concepts and technologies in healthcare. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers to construct…
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