PureLogics LLC

340B Program Explained: Eligibility, Stakeholders, and the Current Landscape

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 …

Why 95% of AI Products Fail: Common Pitfalls Every Executive Must Avoid

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 …

Choosing the Right Agentic AI Framework: A Strategic Guide for Enterprises

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 …

Why Hospitals Need Energy-Efficient LLMs and the Roadmap for Implementation

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% …

5 Gen AI Trends for Healthcare Heading into 2026

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 …

Multi-Agent Systems: Importance, Governance, and Implementation Roadmap

Reading Time: 6 minutes Over the past few years, multi-agent systems have transitioned from experimental research toward early production architectures in enterprise contexts. Most organizations still depend on a single LLM to perform various tasks. But leading companies are now building specialized agents that operate in coordination, each designed for specific functions like retrieval, validation, or execution. All in …

Designing HIPAA-Compliant LLMs: The Technical Blueprint for Safe Healthcare AI

Reading Time: 8 minutes Large Language Models (LLMs) in healthcare are improving patient care, decreasing workload, and enhancing operational efficiency. Yet using LLMs in this domain is not without challenges, especially when it comes to strict data and patient privacy protection regulations. Researchers often fine-tune pre-trained models such as GPT, LLaMA, or PaLM with clinical data, but these models …

Why Modern Hospital Management Software Is Essential for Streamlined Operations and Better Care Delivery

Reading Time: 7 minutes Hospitals now face unprecedented challenges like rising operational costs, increasing regulatory pressure, growing patient expectations, and staff burnout. Indeed, the traditional solutions are no longer enough to meet these challenges. Additionally, the mounting pressure of being compliant with strict data protection regulations (HIPAA in the US and GDPR in Europe) is making the situation more …

LLM-Enabled Clinical Protocol Audit: Automating Quality Assurance Workflows

Reading Time: 3 minutes The Harvard Medical School study this year found that an open-source LLM performed on par with GPT-4 for diagnostically challenging cases, highlighting that large language models are advancing in their capability to reason clinically, not just recall data. However, the real question is whether these models can assist with routine documentation tasks, such as summarizing …

How Ambient Listening Is Shaping Clinical Documentation in Healthcare

Reading Time: 8 minutes Healthcare documentation has reached a crisis point. Physicians spend hours on administrative tasks, contributing to widespread burnout and diminished care quality. Here, ambient listening in healthcare offers an efficient solution to this challenge. Its practical benefits for physicians are enormous. As indicated by Emory Healthcare’s study, which points out that after using ambient listening technology …