mpilo AI的动态

The growing administrative burden on healthcare providers is a critical issue that deserves more attention. It's staggering that family physicians spend nearly half a standard work week just on paperwork rather than patient care. mpilo AI's approach tackles this challenge at its root by leveraging AI for medical documentation, which could be transformative for both healthcare providers and patients. Visit https://ww.mpilo.ai

Discover how AI is transforming primary care! The AAFP's clinical evaluation reveals how an innovative AI solution relieves physicians' administrative burdens and improves health outcomes. Essential reading for healthcare innovation stakeholders. ?? Download now: https://bit.ly/3VCcDEo #HealthcareInnovation #PrimaryCare #AIinHealthcare #PhysicianSupport Navina

Discover how AI is transforming primary care! The AAFP's clinical evaluation reveals how an innovative AI solution relieves physicians' administrative burdens and improves health outcomes. Essential reading for healthcare innovation stakeholders. ?? Download now: https://bit.ly/3VCcDEo #HealthcareInnovation #PrimaryCare #AIinHealthcare #PhysicianSupport Navina

Telemedicine Challenges and Doctor's Needs: That's why we see this problem ahead of time. Want to ensure a thorough medical history is taken, analyze past records, and prepare detailed notes for the doctor's visit? Sounds too good to be true? Not anymore—reach out to us! With every challenge, AIGP Health see an opportunity. We're a team of doctors innovating for doctors and their patients because we genuinely care. Before the consultation, we can handle all the prep work with voice and text, allowing the doctor to review thoroughly. Not only that, but we also document comprehensive notes. This isn’t scribing; it’s doctor assistant with scribing. all using AI Agents Stay tuned for more—or if you can't wait, talk to us! Nicholas Chia | Prateet Narula | Anindita Santosa | Mei-Ling Lu | Dinal F. | Dr Sithira A. | Dr Terence Tan #AIGPHealth #futureoftelemedicine #aiagents

Imagine the hours a doctor would need to spend parsing through complex health records to find essential information for each patient. In this interview at HLTH USA with David Everman, MD from Pangaea Data, he explains how their AI-driven platform simplifies this process by identifying critical data points and revealing insights that might otherwise be overlooked. This tech doesn’t just organize data; it helps clinicians reason through medical records like a physician would, enabling better patient care. Watch the full interview to learn more! #hlth2024 #hlthusa #healthai Vibhor Gupta

HIT Consultant Media highlights key findings from our report, The State of Inpatient Capacity Optimization, with insights from our VP of Client Services, Inpatient Flow, Jason Harber: “Historical approaches to managing inpatient capacity such as manual workflows have reached their limits and are not designed for long-term success. Hospitals and health systems across the country that are embracing predictive data, AI, and change management have seen demonstrable improvements and are creating the inpatient unit of the future that benefits both staff and patients.” ?? Discover how AI-powered solutions can help address challenges such as staffing shortages and resistance to change here: https://bit.ly/4cCJqOV

Errors in scheduling and unnecessary visits may affect your #healthcare operations, creating inefficiencies. Not to mention the patients’ struggle to find accurate medical information and book appointments with the right specialists. Regina Maria, Reteaua de sanatate introduced an #AI assistant powered by the DRUID AI platform to solve this problem. The results? ?? 92,182 investigations within the Symptom Checker assistant,?? 210,000 patients served, ? 23,045 hours/year saved for hospital staff. ?? Learn more in the comments below!

Subjective. Objective. Assessment. Plan. S.O.A.P. Medicine is that simple. What do you get when you combine: 1. the absolutely highest quality subjective information collected from a patient through an exhaustive patient AI powered interview, 2. all available objective information, 3. identify and collect additional objective information needed to address gaps, 4. perform the highest level hard-coded risk assessment with an LLM generated differential diagnosis and 5. offer recommendations for a care plan? You get SOAP Health's World's First AI-Powered Primary Care Provider. Super Powers for Providers Who Want To Deliver The Best Care. Everything changes in September 2024. Learn about the fastest growing application in the Athena Marketplace. Over 30 medical practices signed in less than 2 months. The waitlist is growing. What are you waiting for? https://soap.health Optum OneMedical Group Amazon Clinic ChenMed Epic Cerner Corporation MDVIP Privia Health Community Health Systems Google NVIDIA OpenAI Teladoc Health PartnerMD SignatureMD Palm Beach Accountable Care Organization Mayo Clinic Primary Care Collaborative Primary Health Care Corporation Primary Care Partnership Network (PCPN) Texas Primary Care Consortium #primarycare #digitalhealth

Today, I'm highlighting?Theoria Medical's?#ProphEasy?? ? ? Theoria’s AI model for clinical predictions, provides a comprehensive solution that helps facilities reduce hospital readmission rates and optimize patient care. Our AI-driven insights deliver daily lists of patients at risk of readmission, which is backed by detailed patient data and risk factors. ProphEasy is equipped to effectively recommend tailored action plans for each patient, giving nurses the information they need to ensure a successful recovery and reduce the risk of readmission. Our AI model was designed with the use of over 1 million data points. It is backed by evidence-based guidelines and patient data obtained through ChartEasy and the facility electronic health record.

Patients are more likely to trust medical advice labeled as human-generated than AI-generated — even when AI advice is supervised and just as accurate, accoding to recent research in Nature Medicine. This bias could limit AI’s role in health care, despite its potential to enhance patient care. How can health care professionals overcome this trust gap? Read the full study to explore the findings: https://lnkd.in/ei6Q78iS #AIinHealthcare #PatientCare #HealthcareInnovation