Inspiration
Discover how healthcare organizations are transforming patient care and operational efficiency through innovative AI solutions. Explore real-world success stories, expert insights, and visionary ideas that are shaping the future of healthcare technology.
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Essential Elements of Modern Nurse Advice Lines (Part 4 of 4)
In previous posts, we explored how trusted clinical content, patient-centered access, and nurse empowerment form the foundation of effective triage. Now, we look ahead to the future. As NALs evolve from after-hours support to a central node in the care continuum, their ability to leverage data, technology, and intelligent workflows will determine their long-term success.
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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.
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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.
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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.
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Maximus expands intelligent healthcare with AI-powered nurse triage solution
As part of the company’s focus on healthcare technology to improve service delivery, Maximus has integrated Bingli’s advanced AI solution that provides nurses, doctors, and other medical professionals with crucial, actionable insights.
White Papers
Dive into the world of healthcare innovation with our exclusive white papers. Explore the latest developments and trends shaping the healthcare industry, all in one place.
Healthcare Consumer Preferences Then and Now
This article examines the evolution of healthcare consumer behavior, highlighting how patient expectations have shifted and exploring the innovative solutions that are emerging to meet these demands in a landscape defined by transparency, convenience, and digital-first engagement.
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From Policy to Practice: Enabling Rural Health Transformation
Rural America stands at a critical inflection point: declining populations, provider shortages, fragile hospital margins, and chronic-disease burdens are increasingly unsustainable. The Rural Health Transformation Program empowers states to reimagine rural health systems, anchored in access, technology, workforce, and sustainability.
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Smart Nurse Triage: Transforming Nurse Advice Lines with Bingli and Schmitt-Thompson Clinical Content
This white paper presents the rationale, design, and benefits of the Bingli/Schmitt-Thompson Clinical Content (STCC) integration—offering a smarter approach to triage.
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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.
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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.
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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 modeling has revolutionized natural language processing by enabling computers to understand and generate human-like text.
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Bingli as a screening tool for rare diseases: a methodology
More than 7,000 rare diseases are currently known to science, affecting approximately 350 million people worldwide. Due to their rarity and a lack of knowledge about them, diagnosis of rare diseases is difficult.
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Bingli Atrial Fibrillation Screening
Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting an estimated 1% of the population. Its prevalence increases age dependently, from <0.1% in adults younger than 55 years to 8% in persons aged 80 years or older.
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Comparative testing
Today, computing is indispensable to most if not all disciplines and fuels their progress. However, there has been little application of computing to the fundamental, rule‐based processes underlying effective practice of medicine, specifically to collecting and interpreting clinical data from patients.