Quadrant Health's AI scores 93.23% on the United States Medical Licensing Exams - the highest score of any AI in history. More details here: https://lnkd.in/gPfsX83R Our industry-leading AI is the engine that powers our patient-facing solutions, inbound and outbound call centers, and automated clinical documentation. Join others that have decided to supercharge their healthcare practice by requesting a demo today: https://lnkd.in/gy2CStzE #healthcare #artificialintelligence #ai #largelanguagemodels #generativeAI #USMLE #residency #eras #openevidence #medicaleducation #GPT4 #Claude2 #Anthropic #MedPaLM #OpenAI #ChatGPT
Quadrant Health
Hospitals and Health Care
A new era in outpatient care. Grow your revenue while increasing your team’s efficiency.
About us
A new era in outpatient care. The first and only platform to grow your revenue while increasing your team’s efficiency with world-class clinical AI.
- Website
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https://quadrant.health
External link for Quadrant Health
- Industry
- Hospitals and Health Care
- Company size
- 2-10 employees
- Type
- Privately Held
Employees at Quadrant Health
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Hayes Milani
Senior Sales Executive | Integrate World Class Ai into your organization with enterprise scribe, case management, and patient communication to drive…
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🇧🇷 Daniel Pinto
Senior Software Engineer
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Dr. Vincent Njoku DBA, PMP®
Project, Program Director | Generative AI/ML/DL, AWS | Stakeholder Communication | Strategic Planner | KPI | Fitness
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Anin Sayana
Founder, CEO of Quadrant Health
Updates
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How does going from 2 hours to 30 minutes per day on inbox management sound? Healthcare providers face overwhelming inbox time, inefficient patient outreach, and tedious billing processes daily. Discover Quadrant Health: - Automated patient message sorting and triage - Easily scale chronic care management without extra staff through automated health check-ins - Track time spent on patient interactions on the platform. Learn about real-world outcomes achieved by Bethany Medical Clinic of New York, PLLC in partnership with Quadrant Health: https://lnkd.in/gCva4wFx
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Welcome back to Quadrant Health’s Spotlight Series! 💡 In this feature, we delve into the work of Noah DeGaetano, MD, Chief Medical Officer at Acacia Clinics, who is revolutionizing the treatment of mental health conditions through Transcranial Magnetic Stimulation (TMS) and digital health. Learn more about his experience in integrating AI and digital health tools in psychiatric practice at Acacia: https://lnkd.in/gBscCCK3 #mentalhealth #psychiatry #TMS #digitalhealth #artificialintelligence #patientcare #AcaciaClinics
Transcranial Magnetic Stimulation and AI in Psychiatric Care
blog.quadrant.health
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Most practices are not being reimbursed for the messaging, administrative tasks, symptom monitoring, and preventative efforts done for their patients between office visits. Learn more about how to start getting reimbursed in 2024 by starting a chronic care management program: https://lnkd.in/gyvvqkgK Learn more about how Quadrant Health can help at: https://lnkd.in/gzzRfgha #healthcare #primarycare #revenuecyclemanagement #medicalbilling #chroniccaremanagement #CCM #artificialintelligence #AI
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Welcome to Quadrant Health’s Spotlight Series 💡 , where we highlight stories about clinicians who are using technology and AI to enhance patient care. Today we discuss with Dr. Scott Sigman MD how advancements in non-opioid pain relief can be supplemented with technology. At his orthopedic sports medicine practice, he uses laser therapy and Remote Therapeutic Monitoring (RTM) to manage and monitor for pain and inflammation. Find out more here: https://lnkd.in/dWgnjfpb #RemoteTherapeuticMonitoring #RTM #PainManagement #NonOpioidSolutions #LaserTherapy #Orthopedics #SportsMedicine Anin Sayana Krishna Gorrepati Kevin Tang
Spotlight with Dr. Scott Sigman: Laser therapy and Remote Therapeutic Monitoring
blog.quadrant.health
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Fantastic turnout at AMIA (American Medical Informatics Association)! Team Quadrant Health had the privilege of engaging with leading minds in bioinformatics and generative AI. We presented our joint study with Stanford Health Care (Stanford Healthcare AI Applied Research Team) showcasing our custom LLM for patient message categorization within patient portals where we validated its ability to discern (1) workflow type and (2) level of staff review required. Key highlights and takeaways: 📈 Providers are experiencing a dramatic increase in patient messages per year. 📥 Current inbox management workflows are inefficient and limited by manual review from non-clinical staff. 🚫 Patients often mislabel their message types—our study showed <50% accuracy. 🔥 Our model demonstrated > 0.9 AUROC across 9 distinct message types. ✅ AI categorization can accurately and instantly sort messages and identify who is needed for each task - massively reducing inbox burden and delays in care. Thank you Kevin Tang for the great presentation and everyone in attendance for their interest and engagement. Learn more about how Quadrant Health is streamlining patient portals and administrative tasks at: https://quadrant.health/ Steven Lin Margaret Smith Shreya Shah Julian Genkins Theadora Sakata Amelia Sattler Ryan Han Ayush S. Anin Sayana Alan Safdi, MD Krishna Gorrepati #AI #LLM #AMIA2023 #HealthcareInnovation #AIinHealthcare #DigitalHealth #MedicalInformatics #HealthTech #ArtificialIntelligence #MachineLearning #DataScience #HealthcareAI #EHR #MyChart #InBasket #ClinicalDecisionSupport #Informatics