Loren Larsen’s Post

Case Study: Clinical Support Through Artificial Intelligence (AI) Introduction Artificial Intelligence (AI) is reshaping modern healthcare by augmenting clinical decision-making and reducing the cognitive load on medical professionals. From automated diagnostic tools to real-time alerts for critical conditions, AI is enabling clinicians to deliver faster, more accurate, and more consistent care. The integration of AI into clinical workflows—commonly known as AI-based Clinical Decision Support (AI-CDS)—is one of the most impactful areas of digital transformation in healthcare. This case study explores how AI is supporting clinicians in three real-world contexts: diabetic retinopathy screening, stroke detection, and sepsis prediction. It also highlights the challenges, ethical considerations, and lessons learned from these implementations. ⸻ 1. Background: What Is AI-Based Clinical Support? AI-based clinical support systems use algorithms—often powered by machine learning (ML) and deep learning—to analyze vast amounts of medical data such as imaging, lab results, patient vitals, and medical notes. These systems assist clinicians by providing insights, alerts, or even autonomous diagnostic outcomes. The main objectives of AI-CDS systems are to: • Improve diagnostic accuracy and reduce human error. • Enable early intervention in time-sensitive conditions. • Increase efficiency by automating repetitive or routine tasks. • Expand access to care, especially in underserved or resource-limited settings. However, the effectiveness of these systems depends heavily on the quality of data, clinical validation, and integration into hospital workflows. ⸻ 2. Case 1: Diabetic Retinopathy Screening (IDx-DR) Overview Diabetic Retinopathy (DR) is a leading cause of blindness among working-age adults. Early detection can prevent vision loss, but access to ophthalmologists is limited in many regions. To address this, an autonomous AI system called IDx-DR was developed and later became the first FDA-approved autonomous AI diagnostic tool in 2018. Implementation IDx-DR analyzes retinal images captured by non-specialist healthcare providers in primary care settings. The AI automatically determines whether the images show signs of more-than-mild diabetic retinopathy (mtmDR). If positive, the patient is referred to an eye specialist for further evaluation. Results and Impact • Accessibility: Enabled diabetic eye screening in primary care clinics without specialist intervention. • Speed: Provided results within minutes, improving patient throughput. • Accuracy: Demonstrated sensitivity and specificity comparable to ophthalmologists in clinical trials. • Outcome: Broadened screening coverage, particularly in rural and under-resourced areas. Key Takeaway AI can safely decentralize diagnostics when rigorously validated. The IDx-DR case shows how AI can expand preventive care access without increasing the clinical burden.

Major integration news from #HLTH2025: Abridge is embedding Wolters Kluwer's UpToDate clinical decision support directly into its ambient documentation platform, bringing evidence-based guidance to clinicians without breaking their workflow. The extended partnership with Sutter Health among early adopters means over 3 million patients could benefit from more consistent, evidence-based care as clinicians access trusted guidance during encounters rather than switching applications. This represents a strategic evolution from documentation automation to intelligent clinical assistance. Read more: https://lnkd.in/eKbF_zxH #HealthTech #AIinHealthcare #HealthAI #ClinicalDecisionSupport #AmbientAI #DigitalHealth #HealthcareInnovation #AmbientAI

Abridge isn't slowing down. The company just previewed its UpToDate integration at HLTH 2025, and this is a significant strategic move beyond ambient documentation. What strikes me: They're embedding Wolters Kluwer's clinical decision support directly into the conversation workflow. No app switching. No breaking stride. Just evidence-based guidance when clinicians need it, based on what's being discussed in the room and what's in the chart. Early partner Sutter Health serves 3.5 million patients across California. At that scale, even small workflow improvements compound into major clinician experience and patient care gains. The ambient documentation market is maturing fast, and vendors are expanding aggressively into adjacent use cases. Abridge's bet on clinical intelligence layered into documentation feels like the right strategic direction. #HealthTech #AIinHealthcare #HealthAI #AmbientAI #ClinicalDecisionSupport #AmbientAI #DigitalHealth #HealthIT #HLTH2025

How integrated remote patient monitoring is changing decentralized trials Vivalink’s Head of Product, Mariel Fabro, shares insights on building seamless, interoperable RPM systems that connect sponsors, sites, and participants—making trials more efficient, compliant, and patient-friendly. 📊 With 90% of surveyed participants open to remote trials, simplicity and support are key to long-term engagement. Read how technology and human design can coexist in the next generation of clinical research. #DecentralizedTrials #ClinicalResearch #RemotePatientMonitoring #DigitalHealth #Vivalink #DCT #ClinicalInnovation #PatientCentricity #MedTech #ClinicalTrials

Lovelace Medical Group clinicians now have access to Ambience’s AI platform to generate comprehensive and compliant documentation, reduce burnout, enhance high-quality care delivery, and improve care coordination. Prior to the launch, LMG clinicians participated in a pilot program that spanned 17 specialties and seven languages, which also showed notable improvements in patient satisfaction scores. Visit https://lnkd.in/gPCD4YfS to learn more about how Ambience helps us retain providers, allowing for a healthier work-life balance, which will lead to less burnout and greater satisfaction.

Hospitals are rapidly rolling out AI, digital assistants and new documentation tools. But success doesn’t hinge on the software — it depends on whether clinicians believe in it. Enter the clinician champion: a peer who tests, coaches and explains the “why,” bridging the gap between IT teams and clinical workflows. Health systems like AdventHealth, Corewell Health, Moffitt Cancer Center and Providence are leaning on champions to turn hesitation into trust and drive adoption. Read the full story ➡️ https://lnkd.in/gx6BzqUS

In healthcare, some of the most skilled professionals spend their days fighting software instead of supporting patients. Athelas is changing that by bringing every key operational and clinical workflow under one AI-driven platform — reducing friction, eliminating redundant systems, and giving time back to the teams that make care happen. The right people should be focused on the right work. https://lnkd.in/gAXrcAQv

Great article in Canadian Health Technnology around how Lumeca combined with integrating Firsthx and Scribble is improving effeciency for physicians. “Lumeca Health has significantly boosted physician efficiency by integrating two leading Canadian AI technologies – FirstHx (AI patient intake) and Scribble (AI scribe). Through the new solution, Lumeca has created a seamless workflow that enables physicians to work 23% more efficiently”. https://lnkd.in/gvq7UA27

Abridge Enhances Clinical Workflows With UpToDate Integration - DistilINFO Hospital IT Abridge is revolutionizing clinical documentation through its enhanced partnership with Wolters Kluwer, integrating UpToDate’s evidence-based clinical decision support directly into physician workflows. This innovative approach streamlines documentation by delivering real-time insights tailored to patient encounters, reducing cognitive load and improving accuracy. As over 200 health systems adopt this technology, clinicians can seamlessly access relevant information without switching applications, ultimately enhancing care quality. The integration exemplifies the healthcare industry's commitment to reducing administrative burdens while supporting value-based care. #HealthcareIT #ClinicalDocumentation #AIinHealthcare #HealthTech #ValueBasedCare #PatientCare #DigitalHealth ai.mediformatica.com #health #clinical #this #abridge #documentation #healthcare #integration #clinicians #hospital #flow #uptodate #medical #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/DeJJEW9)

Remote Patient Monitoring in Arrhythmia Care: Where Technology Meets Teamwork Remote patient monitoring (RPM) offers more than rhythm tracking; it enables proactive symptom management, treatment evaluation, and complication prevention. For RPM to deliver real value, it must be embedded in structured workflows supported by dedicated care teams. Without this system, the flood of data risks overwhelming clinicians and diminishing clinical impact. Similar to diabetes care, where continuous glucose monitoring has transformed outcomes, wearable heart rhythm monitors can empower patients and providers. By sharing actionable data, RPM reduces uncertainty, fosters engagement, and guides timely interventions, but successful implementation requires new workflows and collaboration across care teams to turn raw data into meaningful care. Artificial intelligence promises to take RPM further, helping to sort and interpret data while flagging changes that warrant attention. With thoughtful integration, AI-enabled tools can complement—not replace—clinical judgment, easing provider burden and advancing truly personalized, proactive #arrhythmiamanagement. Watch this #AJMCPeerExchange to explore how RPM is shaping the future of personalized arrhythmia management: https://hubs.ly/Q03N_bHz0