Reading Time: 6 minutes 59% of executives plan to invest in new technology over the next 12-18 months, according to a PwC survey. At the same time, 88% of companies report regular AI use in at least one business function, compared to 78% a year ago. These stats clearly suggest that technology incubation and adoption rates will increase. Therefore, …
Reading Time: 8 minutes The healthcare industry is at a critical juncture. Patients demand access to their medical records, real-time engagement, and personalized experiences, while providers are navigating rapid technology adoption, evolving regulations, and cost pressures. AI, interoperability, and predictive analytics are mandatory for operational efficiency and revenue optimization, and leaders who understand these shifts and act decisively will …
Reading Time: 4 minutes LLMs are powerful and have the potential to augment medical research, patient education, and clinical documentation. But these models can hallucinate, and in healthcare, there is simply no room for that. When lives, diagnoses, and treatment decisions are on the line, every AI-generated insight should be accurate and supported by objective evidence. That’s where RAG …
Reading Time: 10 minutes HRSA audited covered entities across 40 states. The results were alarming: 62% had incorrect OPAIS records, 17% showed duplicate discount violations, and 17% had evidence of drug diversion. For healthcare providers already operating on razor-thin margins, a single audit finding can mean millions in repayments and months of operational disruption. The root cause? Fragmented data, …
Reading Time: 6 minutes Gartner estimates that nearly 85% of enterprise AI initiatives fail to deliver actual business value. Despite massive investment in infrastructure, models, and talent. Beneath these failures is a recurring pattern: the issue is not model performance or data science capability, but the absence of robust context engineering. Without an accurate, governed, and domain-aware context, even …
Reading Time: 5 minutes The 340B program plays a crucial role in enabling healthcare providers to deliver affordable medications to underserved communities. However, its rapid expansion has brought complex operational and compliance challenges, which can result in severe financial penalties, reputational damage, and even loss of program eligibility. To avoid non-compliance or potential implementation challenges, a thorough understanding of …
Reading Time: 7 minutes Despite companies pouring $30–40 billion into generative AI, most pilot projects still fail to deliver meaningful results. According to the MIT Media Lab’s study titled, The State of AI in Business 2025, 95% of AI initiatives generate no measurable returns. This study, which analyzed over 300 public projects, conducted 52 organizational interviews, and collected 153 …
Reading Time: 5 minutes Agentic AI is no longer an R&D experiment; instead, it is becoming core enterprise infrastructure. Leaders who delay choosing the right foundation risk becoming locked into legacy systems and losing their competitive edge. Therefore, this blog serves as a strategic lens, not a feature checklist, for executives to assess their agentic AI frameworks in terms …
Reading Time: 5 minutes The healthcare industry is confronting a striking paradox. On one hand, large language models (LLMs) promise to revolutionize clinical AI by streamlining diagnosis and assisting with documentation, etc. On the other hand, these models are also power-hungry. Globally, data centers are projected to double their electricity consumption to support AI workloads, growing from approximately 1.5% …
Reading Time: 6 minutes Generative AI in healthcare is set to move deeper into care delivery and operations, and market momentum reflects this shift. The Precedence Research study, based on industry publications, company reports, and analysis of market drivers such as investment trends and AI adoption, indicates that the gen AI market in healthcare will reach $40 billion by …
