Hadoop, initially developed to address the challenges of big data processing, has become a cornerstone technology for many organizations. However, as businesses strive for agility and real-time insights, Hadoop’s limitations have increasingly hindered progress. Here’s how Hadoop prevents businesses from moving forward. Challenges with Hadoop Complexities in Management One of the most significant barriers is […]
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With the ubiquity of patient data and clinical knowledge, GenAI can play a significant role in enhancing the quality of decision-making at hospitals. Clinical decision-making is a complex process where efficacy is determined, not only by biomedical knowledge, but also by experience, patient-centric processes, and completeness of data. It is an iterative process where early […]
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Amidst the rising shortage of healthcare workers, GenAI shows significant promise in reducing the burden of care delivery on burnt-out clinicians. Clinician burnout is a rampant issue in the most sophisticated healthcare systems today. Surveys indicate that there is a shortage of 7m healthcare workers globally, which will rise to 13m by 2035.[1] This, in […]
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With corporate functions accounting for a major chunk of the healthcare spend, hospitals must identify innovative means to mitigate wastage. Over the last few years, healthcare costs have been on the rise in developed and developing nations alike. In India, medical inflation was recorded at 14% in 2023, and in the US, costs have been […]
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Simplifying Machine Learning: Databricks’ Scalable and Collaborative Approach Machine learning (ML) model development is widely characterized by its complexity. Effectively developing, deploying, managing, monitoring the performance, tracking versions, and sharing models is key to avoiding confusion, particularly when thousands of them are being experimented with, tested, or put into production at the same time. As […]
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With the rising volume of patient data and growing AI applications, healthcare organizations need robust data foundations to activate analytics at scale. Healthcare data is rapidly growing in variety and volume. Every year, a typical patient generates nearly 80 MB of data in the form of radiological imaging, blood work, clinical notes, and prescriptions.[1] Therefore, […]
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In the post-pandemic era, most healthcare organizations renewed focus on being data-driven. The healthcare sector generates a lot of data in the form of electronic medical records, medical images, clinical data, and wearables; and it is growing exponentially. The digitization of healthcare records over the last few years, coupled with the proliferation of tech-driven medical […]
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Clinical documentation plays a multi-faceted role in the world of value-based healthcare, which by default means it’s a mission-critical aspect for providers. For instance, accurate documentation is critically vital to support full and fair reimbursement. For patients, on the other hand, documentation is key to recording their medical history, current diagnosis, and ongoing treatment plan. […]
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Alert fatigue has been one of the most challenging side effects of digitization in the healthcare sector. So much so, that it has consistently been named one of the top hazards in health technology over previous years. Alert fatigue refers to the desensitization of clinicians and nurses to audio-visual warnings issued by smart patient monitoring […]
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The healthcare sector has operated at the forefront of technological innovations since the last century. New technologies have helped surmount some of the most challenging diseases and conditions with repeatable success. The adoption of these new technologies has been confined to the development of new care procedures and pharmaceutical innovations. By taking a page out […]
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