Essential Elements of Modern Nurse Advice Lines (Part 3 of 4)

In this installment we turn to the heart of every NAL: the nurse. Empowering nurses with the right tools, streamlined workflows, and intelligent support systems is critical to improving care quality, reducing burnout, and sustaining a high-performing triage model in today’s complex healthcare environment.

Essential Elements of Modern Nurse Advice Lines (Part 2 of 4)

Historically, NALs have been telephone-only services. While phone support remains essential, relying solely on voice-based access limits scalability and is difficult for patients with hearing impairments, limited English proficiency, or scheduling constraints. Today’s patients want to engage via mobile apps, web portals, and even asynchronous messaging.

Essential Elements of Modern Nurse Advice Lines (Part 1 of 4)

Nurse advice lines (NALs) are a proven model for expanding access to timely clinical
guidance while optimizing provider workloads. To meet today’s standards for safety, equity, and efficiency, NALs must transform. In this four-part blog series, we examine three key elements of modern NAL operations and how they can future-proof their solutions.

Optimizing patient pathways at the preoperative clinic using intelligent digital screening solutions 

Every patient requiring surgery and/or anesthesia undergoes a preoperative assessment before their admission. This assessment is the cornerstone of safe and effective anesthesia care. The exact sequence of preoperative steps for individual patients varies depending on the healthcare provider. 

A Novel Approach for Personalized Population-based Lung Cancer Screening


Lung cancer, which accounts for 11.6% of all cancer cases worldwide, is the most commonly diagnosed cancer and the leading cause of cancer-related deaths, responsible for 18.4% of such fatalities. It claims the lives of over 1.8 million people annually. 

How smart is Bingli in comparison with Chat GPT / Glass AI?

The use of generative artificial intelligence (AI) — specifically, large language models (LLMs) — has the potential to transform healthcare. Language modelling has revolutionized natural language processing by enabling computers to understand and generate human-like text.