OrbDoc

We've got some exciting news to share! OrbDoc has been selected as a finalist for the Startup Prize: Focus on Health 2024 in the Non-FDA Track. 🎉 We're thrilled to be recognized for our work in revolutionizing medical documentation. Our team has poured countless hours into developing a tool that makes capturing clinical thoughts as natural as speaking. Next stop: Shreveport, LA in August. We'll be pitching OrbDoc to the Investor-Judges, competing for a $10,000 prize and potential additional investment. It's an incredible opportunity to showcase how we're improving healthcare efficiency. Congratulations to our fellow finalists: - Emboa Medical - Taurus Vascular - AGED Diagnostics - Veza Innovations A heartfelt thank you to the organizers, mentors, and sponsors, especially Louisiana Economic Development & Prize Foundation. Your support fuels innovation in healthcare. Stay tuned as we continue our journey to transform medical documentation. Who knows? The next time you visit your doctor, OrbDoc might be there to help. #HealthTechInnovation #StartupPrize2024 #OrbDoc

We must help nurses care for patients better. Imagine a solution that records patient info across shifts, shares it with doctors, checks medicines for safety, and shows patient history quickly. This saves time for patient care. Nurses equipped with real-time data are at the forefront. We must de-clunk EHRs!

Are you developing innovative human-computer interfaces that could redefine human-computer interaction? NSF's SBIR/STTR Program seeks transformative proposals that push the boundaries of how humans engage with technology, creating more intuitive, efficient, and broadly impactful experiences to connect and improve each of our lived experiences. If you and your team are working on a high-risk, high-reward approach rooted in scientific research or lived experience we want to hear from you. Ideal proposals articulate understanding of scientific foundations while presenting technological breakthroughs impactful for wide swaths of society. Come learn more about the program at an upcoming event (https://lnkd.in/ezpbRB63), explore the HCI topic area in greater depth (https://lnkd.in/eHwiMfMw), and begin your submission (https://lnkd.in/enEJwQqQ). NSF's SBIR/STTR Program looks forward to supporting visionary proposals that will define the future of human-computer interaction. #NSFSBIR National Science Foundation (NSF) #HumanComputerInteraction #Innovation #TechBreakthrough #ResearchToReality 

Tired of AI assistants that think "tachycardia" is a new fashion trend? Meet OrbVoice: The AI scribe that actually went to medical school! 🩺💻 Say goodbye to "robot cousin" instead of Robitussin, mysteriously blank physical exam sections, and notes filled with your patient's grocery list. OrbVoice understands real medical terminology, captures the important details, and lets you speak naturally - no need to talk like a robot or memorize commands. Perfect for healthcare pros, but versatile enough for admin, busy execs, or anyone sick of typing. The best part? It's completely FREE! Ready to cure your documentation headaches? Try #OrbVoice now and experience the future of hands-free productivity! Read on, or download the app: https://lnkd.in/eh5qd58d 💬 Questions? We're all ears! Let's chat about how OrbVoice can transform your workflow. #AIInHealthcare #ProductivityHack #FutureTech

This paper explores the application of generative AI and retrieval-augmented generation (RAG) for summarizing and extracting key clinical information from electronic health records (EHR) to manage malnutrition in aged care facilities. 1️⃣ The study utilized the Llama 2 model with zero-shot prompting to generate structured summaries of nutritional status from unstructured EHR data, achieving an accuracy of 93.25%. 2️⃣ Incorporating RAG with the generative model improved the summarization accuracy to 99.25%, highlighting its effectiveness in handling unstructured data by providing additional context. 3️⃣ The AI model demonstrated 90% accuracy in identifying malnutrition risk factors from nursing notes, although the addition of RAG did not further enhance this task. 4️⃣ The study identified hallucination issues, where the model generated plausible but incorrect information when explicit details were not provided in the notes. RAG helped mitigate but not completely eliminate these errors. 5️⃣ The research demonstrated the feasibility of using open-source generative AI models like Llama 2 for clinical NLP tasks, offering a more adaptable and efficient solution than traditional methods requiring extensive training data. ✍🏻 Mohammad Alkhalaf, Ping Yu, Mengyang Yin, Chao Deng. Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records. Journal of Biomedical Informatics. Elsevier 2024. DOI: 10.1016/j.jbi.2024.104662

We envision a future where proactive prevention and patient engagement takes center stage in healthcare delivery. Patients will be empowered with knowledge to make informed decisions about their health by voices they can better relate to and trust.

Artificial intelligence is reshaping healthcare, offering tools to improve patient outcomes and streamline nursing workflows. Nurse managers play a crucial role in responsibly integrating AI technologies, balancing innovation with ethical considerations and the irreplaceable human element of care.

Physicians: What if your documentation wrote itself? Imagine seeing 5 more patients daily. Leaving work on time. Focusing on care, not paperwork. Some are already doing this. How? They're testing an unconventional approach. https://lnkd.in/eh5qd58d Curious? OrbVoice is now on iOS #HealthcareInnovation #AIinMedicine #PhysicianWellbeing

Human scribes have transformed medical documentation since their widespread adoption in the 2010s. Studies show that physicians using scribes increase their productivity by 20-30%, seeing an average of 4-5 more patients per day. Doctors save 2-3 hours daily on paperwork, allowing more time for patient care. This shift has led to a 20% improvement in patient satisfaction scores and a 90% reduction in billing delinquencies. AI scribes are now emerging as the next step in this evolution. These systems can work 24/7, potentially tripling the coverage of human scribes. They maintain 99% consistency in documentation quality, compared to the 85-90% achieved by well-trained human scribes. Advanced AI can process medical conversations in real-time, with accuracy rates approaching 95% for common medical terminologies. While initial development costs may reach millions, projections suggest AI scribes could offer 30-40% cost savings over human scribes within 5 years of implementation. However, challenges remain. The technology is still being refined, with current error rates around 5-10% for complex medical scenarios. Healthcare organizations must ensure these systems comply with HIPAA and other regulations, a process that can take 6-12 months. Surveys indicate that about 60% of healthcare providers are open to AI scribe adoption, while 40% express reservations. Looking ahead, experts predict that by 2030, 70% of healthcare facilities will use a hybrid model, combining human expertise with AI efficiency. This approach aims to optimize documentation processes, potentially reducing overall administrative costs by 25% and improving patient care quality metrics by 15-20%.

We are thrilled to have presented OrbDoc’s pitch at the gBETA Prosper Showcase & Healthtech Conference. It was an honor to be part of this ever-growing community of startups and the healthcare network. Huge thanks to Jack Marck for his mentorship during the Prosper Accelerator program and to Amanda Williams, Nate Domenighini, and the entire Generator team for making this event special. Congrats to all who pitched, and thanks to everyone for their support! #healthtech #startupcommunity #OrbDoc #generator #gBetaProsper #healthcare #MedicalTechnology