Best AI tools for< Medical Records Coordinator >

Olivia is a health application designed to simplify and personalize your health journey. It helps users manage their health data, connect with healthcare providers, and track their health metrics. Olivia's AI-enabled assistant provides personalized support by summarizing medical records, answering questions about medical guidelines, and offering insights on conditions and treatments. The application aims to alleviate the burden of managing health information and empower users to receive the best care possible.

Wisedocs is an AI-powered platform that specializes in medical record reviews, summaries, and insights for claims processing. The platform offers intelligent features such as medical chronologies, workflows, deduplication, intelligent OCR, and insights summaries. Wisedocs streamlines the process of reviewing medical records for insurance, legal, and independent medical evaluation firms, providing speed, accuracy, and efficiency in claims processing. The platform automates tasks that were previously laborious and error-prone, making it a valuable tool for industries dealing with complex medical records.

Mendel AI is an advanced clinical AI tool that deciphers clinical data with clinician-like logic. It offers a fully integrated suite of clinical-specific data processing products, combining OCR, de-identification, and clinical reasoning to interpret medical records. Users can ask questions in plain English and receive accurate answers from health records in seconds. Mendel's technology goes beyond traditional AI by understanding patient-level data and ensuring consistency and explainability of results in healthcare.

CompliantChatGPT is a HIPAA-compliant platform that allows users to utilize OpenAI's GPT models for healthcare-related tasks while maintaining data privacy and security. It anonymizes protected health information (PHI) by replacing it with tokens, ensuring compliance with HIPAA regulations. The platform offers various modes tailored to specific healthcare needs, including bloodwork analysis, PHI anonymization, diagnosis assistance, and treatment planning. CompliantChatGPT streamlines healthcare tasks, enhances productivity, and provides user-friendly assistance through its intuitive interface.

Sunoh is a medical AI scribe that uses ambient listening technology to convert natural conversations between healthcare providers and patients into clinical documentation. It offers a unique and immersive experience for both doctors and patients, making the documentation of clinical notes faster and more efficient than ever before. Sunoh can be used with your EHR to accelerate your documentation.

Lyrebird Health is an AI-powered medical scribe that automates documentation tasks for healthcare providers. It uses natural language processing (NLP) to listen in on patient encounters and generate accurate, medico-legally compliant notes, letters, and assessments. Lyrebird Health is designed to save clinicians time and reduce burnout, allowing them to focus on providing better care to their patients.

Tavrn is an AI-powered platform that offers high-accuracy medical record chronologies for attorneys in a matter of hours. The platform utilizes cutting-edge AI technology to process hundreds of pages of medical records quickly and efficiently. Tavrn aims to reduce the burden of medical chronology costs for law firms, allowing lawyers to focus on advocating for their clients. With features like advanced Optical Character Recognition, enterprise-ready security, live support, and custom workflows, Tavrn provides a secure and high-tech solution for legal professionals to streamline their workflows and enhance case management efficiency.

meiua is an advanced technological solution designed specifically for healthcare professionals. Powered by cutting-edge artificial intelligence, it optimizes the drafting of medical records, freeing up time spent with patients. The platform listens, learns, and writes all your medical documentation, ensuring precise and effortless documentation. meiua offers features such as automatic recording of exchanges between you and your patients, customization of note templates, and generation of personalized summaries in less than a minute. It prioritizes data security and responsible AI use, aiming to enhance healthcare efficiency and provide personalized attention to each patient.

Augmedix is a leading provider of AI-powered medical documentation solutions for healthcare systems, physician practices, and hospitals. Its products, including Augmedix Go, Augmedix Live, Augmedix Go Assist, and Augmedix Prep, leverage ambient AI technology to convert natural clinician-patient conversations into structured medical notes in real time. Augmedix aims to enhance the clinician-patient relationship by reducing documentation burden, improving productivity, and increasing patient satisfaction.

AKASA is a healthcare revenue cycle management company that uses generative AI (GenAI) to improve the revenue cycle for healthcare providers. AKASA's GenAI-powered platform and solutions help healthcare providers reduce denials, improve margins, and increase revenue. AKASA's platform includes solutions for authorization management, claim status, and claim attachment. AKASA's GenAI is trained on clinical and financial data and is optimized for healthcare. AKASA's clients include over 475 hospitals and 6,500 outpatient facilities across all 50 states.

The EMR Software is an AI-powered application designed to streamline healthcare practices by integrating future technologies for accurate outcomes and enhanced care. It offers innovative features such as natural language processing, AI-powered assistant, task automation, and radiology image enhancement. The software aims to reduce medical costs, improve turnover rates, increase medical efficiency, and enhance patient retention rates. It provides data security, clinical management, e-billing processes, revenue management, and tele-monitoring. EMR Software assists in managing clients effortlessly, improving billing operations, maximizing hospital profits, consulting patients remotely, and tracking chronic disease progression.

Suki Assistant is an enterprise-grade AI assistant designed to help clinicians save time by providing ambient documentation, dictation, ICD-10 and HCC coding, and answering questions in one solution. It offers deep EHR integrations with all major EHRs, ensuring safe AI practices, hassle-free partnership, proven ROI, and advanced EHR integrations. Suki is trusted by health systems across the country for its reliability, scalability, and convenience in clinical documentation.

Sully.ai is the #1 all-in-one AI solution designed to save doctors' time by creating superhuman doctors. The platform offers a comprehensive set of features such as pre-visit screening, decision support, scribing, diagnosis assistance, clinical planning, and post-visit automations. Sully.ai is an automation platform that works seamlessly with Electronic Medical Records (EMR) systems, providing personalized and multilingual support for healthcare professionals. The AI model is HIPAA compliant and trained on real-life doctor encounters to enhance decision-making and streamline administrative tasks. With proven results in reducing repetitive tasks and improving efficiency, Sully.ai aims to transform healthcare delivery by empowering doctors to focus on patient care.

SOAPME.AI is an AI-powered SAAS application that helps clinicians generate accurate and efficient SOAP notes from patient conversations. With its HIPAA-compliant technology, SOAPME ensures fast and secure note-taking, allowing clinicians to focus more on patient care and reduce administrative burden.

Anytime AI™ is a premier AI legal assistant designed specifically for plaintiff lawyers. It offers a range of features to help lawyers conduct legal research, summarize depositions, analyze medical records, and draft legal documents efficiently. Anytime AI™ aims to boost revenue, amplify efficiency, unlock more clients, and fortify work-life balance for legal professionals. Trusted by Associations of Justice and Plaintiff Lawyers, Anytime AI™ is revolutionizing the legal practice by quadrupling case capacity and accelerating the delivery of justice.

CaseYak is an AI-powered platform that uses artificial intelligence to estimate the value of personal injury claims. By comparing user inputs to ten years of historical jury verdict data, CaseYak's AI Case Calculator provides a projected claim value for motor vehicle accident cases. The platform aims to offer an objective and data-driven prediction to help individuals seeking legal recourse after being injured in a car accident. Additionally, CaseYak provides information on how a personal injury attorney can assist in handling the claim process.

CaseMark is an AI-assisted workflow and summarization platform designed for the legal industry. It offers a range of features such as deposition summaries, case summaries, medical records summaries, trial summaries, and custom summaries. The platform leverages AI technology to generate accurate and efficient summaries of complex legal documents in minutes, enabling legal professionals to focus on more critical tasks. CaseMark also provides custom workflows, integration with existing platforms, enterprise-class security, and a money-back guarantee. Trusted by over 4500 lawyers, court reporting firms, and legal tech companies, CaseMark aims to empower legal efficiency one workflow at a time.

A Call Recorder App is a mobile application that allows users to record phone calls on iPhone and Android devices with the best possible quality at a fair price. The app utilizes IVR technology to record phone call conversations in the cloud and employs ML/AI engine for transcribing audio files into readable text documents. It supports recording in English, Spanish, and French languages and offers features like timestamped transcription, sharing recorded files, and simple pricing without hidden fees.

ICD AI is an advanced artificial intelligence tool designed to assist healthcare professionals in accurately assigning diagnostic codes to patient records. The tool utilizes machine learning algorithms to analyze medical data and suggest appropriate ICD codes, streamlining the coding process and reducing errors. With its user-friendly interface and robust features, ICD AI is revolutionizing medical coding practices and improving efficiency in healthcare facilities.

MediNav is an AI-powered medical assistant that learns and reduces documentation time for healthcare professionals. It is not just a medical dictation software but an assistant based on a complex algorithm that retains, notes, extracts medical information, and continuously learns. It helps in reducing costs by minimizing the need for additional staff during consultations or transcription, allowing more time for patients to be served, and ensuring faster delivery of imaging results to satisfied clients. MediNav is designed for various medical specialties such as Radiology, Cardiology, Gastroenterology, Pathology, and more. It uses cutting-edge speech recognition technology combined with natural language processing to achieve high accuracy. The assistant improves by learning from corrections made to its output, is robust to mild and moderate accents, and adapts quickly to new specialties. It also employs federated learning to share improvements securely across clinics without moving data.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

AIGT is a repository containing scripts for deep learning in guided medical interventions, focusing on ultrasound imaging. It provides a complete workflow from formatting and annotations to real-time model deployment. Users can set up an Anaconda environment, run Slicer notebooks, acquire tracked ultrasound data, and process exported data for training. The repository includes tools for segmentation, image export, and annotation creation.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

Portuguese OCR for medical test coding, outputs in table format.

AI assistant for creating detailed discharge summaries

Assists with pet emergencies using photo sharing for web-based solutions.

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Write Excellent Medical Notes

Leading in Smart Healthcare AI, Powered by OpenAI

Basiert auf dem offiziellen Impfplan Österreich 2023/24

Deciphers medical news, explaining complex terms in simple English and Japanese

Expert in medical imaging AI, adept in machine learning tools.

Helps explain medical consents

Friendly, conversational tone for medical acronyms.

Expert in NFPA 99-2018 for medical gas system compliance and guidance.

Expert in Medical Supplies and Medicare Guidelines

Guide on medical equipment, ailment-based recommendations & image analysis

A guide for aspiring med students, aiding in interviews, MCAT prep, and application advice.

Expert Medical Technologist offering tailored consultations

Informative guide on medical devices and healthcare technology.

Describe your medical signs and symptoms. Optionally also list any applicable known lab test results. Further lab tests will be recommended. Any web searches may be requested explicitly. Extra tests by these providers may also be requested explicitly: QuestHealth, WalkInLab, RadiologyAssist

Your guide to all things DME

An expert on EMT roles, emergency services, and training, with a medical tone.