DeepCura AI’s Post

The beta versions of the Horizontal Prompts and Clinical Delta features are now live. Horizontal Prompts introduces a novel thread architecture for generating AI clinical documentation. Unlike the standard vertical architecture used by popular apps such as ChatGPT and Claude, it utilizes both a hybrid vertical and now horizontal thread architecture. This architecture is superior for healthcare use cases because it avoids 'thread exhaustion.' In a vertical thread architecture, submitting a sixth prompt in ChatGPT or similar models significantly increases the risk of contaminated outputs or overall hallucinations. However, the new horizontal architecture offers the benefit of complete input isolation. This ensures that each documentation is generated from sterile inputs, uncontaminated by previous context in the thread. Optionally, clinicians can still benefit from the vertical architecture if they decide to use the entire thread as context. In summary, they can now choose between the horizontal or vertical prompt approaches as they wish, giving them complete control over how they segregate and manipulate inputs. We will continue to refine our approach based on ongoing conversations with our users and colleagues in the industry.

Apollo Hospitals has developed a Clinical Intelligence Engine (#CIE) using AI technology to create a ChatGPT-like tool for doctors. The company has utilized an AI-powered software to achieve this feat. #appollo #appolloAI Which software /AI company did appollo use to do create clinical intelligence in chatgpt? How Apollo Hospitals Used AI to Create Clinical Intelligence in ChatGPT-like Tool for Doctors? #appollo #appolloAI AI-powered Clinical Intelligence Engine (#CIE)

Software developers are testing AI-powered chatbots for medical advice and diagnosis, but concerns about accuracy persist. Google's "AI Overview" feature initially provided some incorrect and potentially dangerous health information, including advice about snake bites and nutrition. While Google has made efforts to improve the system, issues still remain, such as inaccurate information about infant feeding. Despite these challenges, many healthcare leaders remain optimistic about AI chatbots' potential in the industry. Dr. Nigam Shah from Stanford Healthcare compares the current situation to the early days of Google Search, suggesting that improvements will come with time. The World Health Organization has developed its own chatbot, Sarah, which uses information from trusted sources to provide more reliable health advice. As AI technology continues to advance, developers are working on improving the accuracy and reliability of these medical chatbots. https://lnkd.in/emjgQw7p #healthcare #healthcareai #healthcareit #ai #genai #generativeai #ChatGPT #llm #bigdata #ml #PatientEngagement #PatientCare #PatientOutcomes

You had better watch out for A.I.! It may not be ready for building science! I love the artificial intelligence tools! They can help with simplifying tasks, idea generation, client communication, and more. However, using A.I. for research, continuing education, design validation, etc. is a little sketchy still. Here is an example of a question I posed to ChatGPT to assist with a simple sealant joint sizing exercise and I got surprising results! See below for the interaction! (and don't forget to follow me) #architecturaldesign #contractors #buildingconstruction

We’ve seen the impacts of dodgy guardrails on Chatbots lets chat how we avoid this!! Kathryn Simons-Porter is sharing with us why the death Knell may be sounding on Chatbots and how IVA’s are the new bot in town. Phil Woodbridge sharing some practical tips to get your chatbot house in order! We’ll be discussing topics like: 🗣️Do you need to use Large Language Models for Chatbots? 👨🔧What’s technology Integrations can be leveraged and absorbed to help with CRM and Telephony process. 🤖We’ll be discussing personalisation strategies and when to build hand off process to humans. 🛑We’ll also delve into the world of ethics and what considerations need to be made for data and risk and guardrails. So join us on the 22nd February where we talk about effective chatbot design! Bring your questions and there is an interactive flow with The Contact Centre Network webinars where we want to hear from you! Surgery opens at 1pm-2pm so come along and join us! Register with the other 70+ people so you don’t miss it via the link in the comments on LinkedIn Live events

Doctors spend more time on pen-pushing marathons than patient pampering sessions! ➡️ The Problem: 🚫 Clinicians bogged down by admin tasks & documentation. 🚫 High clinician burn out rates due to mundane tasks If your doc is grumpy...its not you, its all that BS admin work they have to deal with. ➡️ The solution; * AI automation to the rescue! * Docs get more human connection, less screen time! ➡️ The AI Solutions: A number of cool companies are developing AI-powered software to convert consultations into documented patient notes. ✅ Nuance Communications: Uses speech recognition technology combined with AI to accurately capture and convert healthcare professionals' spoken words into structured, detailed clinical documentation. ✅ Google DeepMind: Streamlining health data to predict patient needs before it becomes obvious. ✅ IBM Watson: Making sense of unstructured health data, turning it into actionable insights. Clinicians need to ditch the desk and get back to what they do best—caring for patients. theHotBleep is on the runway, ready to take off, follow and hop in for the ride of your life! Write-up by Dr Nik Image Credit; respective owner Data source; Pubmed, https://lnkd.in/d6G6_fgs #medtech #healthtech #AIinHealthcare #DigitalHealth #thehotbleep

ChatGPT has no doubt changed the game for many industries. But should healthcare professionals use ChatGPT and other AI tools for clinical documentation? In the relentless hustle of healthcare, clinicians often find themselves overwhelmed by the volume of paperwork. Our latest blog explores the benefits and challenges of using ChatGPT for medical notes. Learn how this technology streamlines healthcare workflows, allowing providers to focus more on patient care and less on administrative tasks. From real-time transcription to generating detailed reports, ChatGPT offers a range of practical applications that can revolutionize your approach to medical documentation. Click the link in comments to read our full blog for an in-depth look at how ChatGPT can enhance medical practices. #AIinHealthcare #ChatGPT #HealthcareInnovation #Medical Documentation

Transforming patient care with the power of AI at GIGA IT A Case Study in innovation and efficiency. IT development projects can be complex, facing disruptions like supplier issues or external factors. Our team's challenge: building a Latin American team to seamlessly continue a healthcare project within two months. We used technology to our advantage: OpenAI API: designed custom prompts, app configurations, and data migrations. EPIC Integration: connected with the leading US medical records platform. OCR Technology: converted image text into usable data. What we've achieved Improved medical diagnosis: increased accuracy and speed, empowering patients. Bridging the gap for children: used rapid engineering to explain symptoms through songs. Enhanced virtual care: achieved 50% faster response times in virtual patient sessions. Efficient sample tracking: digitized processes and dashboards prevented sample loss. Simplified medical record management: streamlined documentation with OCR. This success story would never have been possible without the support and agility of our incredible teams. Their dedication and ability to adapt are what truly set us apart. We're proud of what we've achieved so far and are excited about what's to come. If you're interested in learning more about how we can help your organization harness the power of AI, feel free to get in touch. Let’s impact on people’s daily lives together. #AI #healthcare #innovation #GIGAIT #healthcaretech #IT

How do you build a product using GenAI? Noé's talk on "RAG for a medical company" at PyData London has just been published on Youtube and gives a great example of how a team iterated from a sexy proof of concept to a product that can actually be used in production. RAG stands for "Retrieval-Augmented Generation", the standard technique to customise GenAI to specific needs and datasets. In this example, the product is for medical doctors wanting to check the detailed instructions of medications to double-check something before prescribing them. ChatGPT4 does a great job out of the box as a proof of concept, but is unusable in real-life: the stakes are too high to use a solution that could potentially hallucinate. Noé's talk explains how the team was able to combine its technical skills in RAG with a product approach to come up with a solution that can be used in real-life and save the doctor some precious minutes during their (very short) appointments. A great example of how tech experts focusing on value for the customer results in more ingenious solutions. Anthelme Pradeau, Clément BERNARDO, Chloé Roumengas, Danilo Wictky Fabri, Pierre Momboisse #leantech #valueforthecustomer #agile