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@ShahidNShah
The future of healthcare belongs to organizations that can harness the power of their data. With innovations like AI, predictive analytics, and digital health solutions transforming patient care, success hinges on having a strong, interoperable data foundation. Yet, many healthcare organizations remain hindered by legacy systems—slowing progress, increasing costs, and limiting their ability to leverage real-time insights.The healthcare industry is experiencing an unprecedented surge in data generation—from patient records and wearables to digital health platforms and AI-driven insights. However, unlocking the full potential of this data requires modern, connected systems built for speed, scalability, and interoperability.
AI-driven tools are revolutionizing healthcare—from predictive modeling to clinical decision support. But these technologies are only as powerful as the data behind them. Without proper data normalization, deduplication, and governance, AI outputs can become biased or misleading. Building a solid data foundation is key to driving accurate, actionable insights and delivering on the promise of AI in healthcare.Migrating from legacy data systems to cloud or hybrid environments is no small task. It requires meticulous planning to minimize downtime, prevent data loss, and avoid disruptions to daily operations.
Continue reading at healthcareittoday.com
Healthcare wearable technology offers real-time insights into individual health, upending the traditional healthcare delivery model where health metrics were only measured during in-person medical …
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