What You Should Know: 

– Augmedix, a frontrunner in AI-powered medical documentation, has unveiled Augmedix Go – the first-ever fully automated GenAI solution designed specifically for Emergency Department (ED) documentation. 

– The nationwide roll-out follows a successful pilot program with HCA Healthcare, a leading US healthcare provider.

Revolutionizing ED Workflows

Augmedix Go streamlines the documentation process for ED physicians, instantly generating medical notes from patient interactions. This innovation aims to enhance patient care, boost clinician productivity, and alleviate documentation burdens.

Pilot Program Proves Efficacy

The HCA Healthcare pilot program yielded positive results. ED physicians across four hospitals utilized Augmedix Go to automate documentation, significantly reducing note-taking time. Clinician feedback and gathered data confirmed the solution’s effectiveness in achieving its core objectives.

Tailored for the ED Environment

Augmedix’s vast experience in acute care settings empowered them to refine their AI technology for the unique challenges of ED documentation. The system caters to:

• Multiple Interactions: Captures complex conversations encompassing various, non-sequential interactions with a single patient.
• Medical Decision Making: Documents the thought processes behind medical decisions.
• Re-evaluations and Progress Updates: Tracks changes in patient condition throughout their ED stay.
• Noisy Environments: Functions effectively even in the often-chaotic ED environment.

Seamless Capture and High Accuracy

Augmedix Go offers a hands-free option for clinicians. The mobile app, paired with a Bluetooth microphone stored conveniently in a lab coat pocket, discreetly captures patient conversations. At a remarkable 99% acceptance rate, patients readily consent to Augmedix’s use. Clinicians reported satisfaction with audio capture, note quality, and AI accuracy.

Transparency and Trust

Augmedix Go’s user interface showcases the key steps involved in note creation, fostering trust among clinicians. The system utilizes a combination of Augmedix’s proprietary fine-tuned large language models (LLMs) and leading foundational LLMs, such as Google Cloud’s MedLM, to ensure high-quality medical documentation across various specialties and note sections.

“The launch of Augmedix Go in the ED represents our unwavering commitment to develop solutions for health systems that improve their workflows. Our agility and flexible architecture, exhibited by our broad product suite and open network platform, help us address the complex and varying needs of clinicians and providers,” said Manny Krakaris, CEO of Augmedix. “We have built a sophisticated platform designed to enable clinicians to be present with their patients while trusting that Augmedix technology is doing administrative work unobtrusively in the background.” 

What You Should Know: 

– DeepScribe, a leading company in ambient AI for clinical documentation, announced today the general availability of its platform on AWS Marketplace. 

– By offering their platform on the AWS Marketplace, DeepScribe simplifies adoption for healthcare organizations seeking to leverage the power of AI for more efficient and accurate clinical documentation.  

Simplified Acquisition for Healthcare Organizations

The AWS Marketplace listing offers DeepScribe through a private offer, allowing healthcare systems to integrate the platform directly with their existing Electronic Health Records (EHR) system. This streamlined approach delivers several benefits:

• Consolidated Purchasing and Billing: IT leaders can manage DeepScribe alongside other AWS services, simplifying procurement and streamlining financial processes.
• Deeper Integration Potential: The AWS Marketplace listing facilitates deeper integration with other AWS healthcare partners, fostering a more comprehensive healthcare IT ecosystem.
• Maximized Resource Utilization: Healthcare organizations can leverage their existing AWS commitments for compute, storage, and machine learning services required by DeepScribe.

Powering DeepScribe with AWS Technology

DeepScribe utilizes over 30 different AWS services to deliver its powerful AI capabilities. Notably, the platform leverages:

• AWS SageMaker: This service allows DeepScribe to securely train and host its core large language model, HealAI.
• AWS HealthScribe: This healthcare-specific service provides additional data for training HealAI, enhancing its understanding of medical terminology and workflows.

“Our inclusion in the AWS Marketplace is made possible by our work with AWS as well as the integrity of our enterprise-ready AI clinical documentation solution,” said Matt Ko, co-founder and COO at DeepScribe. “The increased accessibility will enable enterprise healthcare organizations to consolidate their cloud spend and more easily deploy DeepScribe to address the critical issue of clinician burnout as it automates clinical documentation, improves efficiency, and allows greater focus on delivering patient care.”

What You Should Know: 

– Greenway Health, a provider of healthcare information technology (HIT) services, has announced a partnership with Nabla, a prominent AI assistant company specializing in ambient clinical documentation. 

– This collaboration brings forth Greenway Clinical Assist™, a solution designed to streamline clinical workflows, reduce provider burnout, and ultimately enhance patient care.

Integration for Efficiency

Greenway Clinical Assist™ seamlessly integrates Nabla’s cutting-edge AI technology with Greenway’s established Prime Suite and Intergy EHR solutions. This integration aims to significantly reduce administrative burdens on healthcare providers, with estimates suggesting time savings of up to two hours per provider, per day.

Combating Burnout and Strengthening Connections

By alleviating the time-consuming task of documentation, Greenway Clinical Assist™ directly addresses a major contributor to provider burnout. This time saved allows for stronger connections to be built between patients and their providers, fostering a more patient-centered care environment.

Ambient AI Assistant 

Greenway Clinical Assist™ leverages the power of artificial intelligence to transform spoken conversations directly into comprehensive clinical notes. This innovative solution utilizes a combination of proprietary and industry-leading large language models to achieve the following:

• Real-time Transcription: Every word spoken during a patient encounter is transcribed with high accuracy.
• Instant Note Generation: Structured clinical notes are automatically generated within 10 seconds, making Greenway Clinical Assist™ the fastest AI-powered documentation solution available.
• Customization Options: Providers can personalize clinical notes to their workflow and preferences. This includes tailoring the structure, length, and narration style of the notes. Additionally, the order of content can be adjusted to best suit individual needs.

“At Greenway, our commitment to innovation goes beyond just today’s AI buzzwords, we are maniacally focused on thoughtfully harnessing technology as a tool to solve today’s most pressing healthcare challenges,” says Pratap Sarker, CEO at Greenway Health. “With the power of generative AI technology, we can lessen the burdens on our clinicians and help streamline their day, improve their relationships with their patients, and, ultimately, create better patient outcomes. Together, we can advance the healthcare technology landscape to create a healthier, more efficient tomorrow.”

What You Should Know:

– Augmedix, a leader in AI-powered medical documentation, and SADA, a prominent cloud technology consultancy, announce a strategic partnership to transform healthcare data capture and analysis.

– The collaboration with SADA will allow Augmedix to work closely with Google Cloud on reference architecture development. By combining their expertise, they are poised to deliver advanced AI solutions that improve documentation accuracy, streamline workflows, and ultimately enhance patient care.

Ambient AI Medical Documentation

Augmedix’s technology utilizes ambient AI to transform natural conversations between clinicians and patients into organized medical notes and structured data. This not only improves clinical decision support but also enhances operational efficiency. SADA, with its expertise in cloud, data, and AI solutions, brings a wealth of experience to the table.

SADA’s expertise complements Augmedix’s technology in several ways:

• Cloud and Data Management: SADA’s extensive cloud and data management expertise ensures secure and scalable data handling for Augmedix’s solutions.
• Artificial Intelligence and Machine Learning: SADA’s knowledge of AI and machine learning, particularly Google Cloud’s MedLM models specifically designed for healthcare applications, further enhances Augmedix’s AI capabilities.
• Google Cloud Partnership: As a Google Cloud Premier Partner, SADA brings deep understanding of the Google Cloud platform and its functionalities.

"We are thrilled to join forces with SADA, to partner with an organization that has a nationwide reach to health systems, and also to leverage their prowess in frontier cloud infrastructure technology, machine learning, integrations, and implementations,” said Ian Shakil, founder, director, and chief strategy officer of Augmedix. “Together, we can accelerate efforts to bring ambient medical documentation and data solutions to benefit more patients and clinicians.”

What You Should Know:

– Sutter Health, a leading California healthcare system, announced a major collaboration with Abridge, a company specializing in generative AI for clinical documentation.

– The strategic partnership aims to transform the way physicians document patient interactions, ultimately improving patient care and reducing physician burnout.

Abridge: Streamlining Documentation and Freeing Up Physician Time

Physicians nationwide spend a significant amount of time on administrative tasks like documentation. Abridge’s solution has the potential to reduce this burden by 2-3 hours per day, significantly impacting physician well-being and reducing burnout. Abridge’s AI platform generates draft clinical notes in real time based on the conversation between physician and patient. This eliminates the need for lengthy post-visit documentation, freeing up valuable time for patient interaction. Additionally, Abridge supports over 14 languages and 50 specialties, catering to Sutter Health’s diverse patient population.

Patient-Facing Summaries: Empowering Patients

Sutter Health and Abridge are also collaborating on a new initiative: integrating patient-facing summaries into the electronic health record. This will empower patients to better understand and recall key details from their visits.

Recent Abridge Milestones

This partnership follows successful Abridge deployments at leading healthcare institutions like Yale New Haven Health and UPMC. Abridge recently secured $150M in Series C funding, which will fuel further research and development of their AI technology.

“There is tremendous momentum behind our collective efforts, and it has the ability to change lives for the better,” said Warner Thomas, president and CEO, Sutter Health. “We are highly focused on innovation as a lever to help us achieve our vision and mission of delivering safe, high quality, equitable care to all of our patients. Sutter is equally committed to the thoughtful integration of emerging technologies like AI in healthcare that support our physicians to help deliver on that mission.”

What You Should Know:

– Abridge, a leader in generative AI for healthcare documentation forms a strategic collaboration with NVIDIA to leverage NVIDIA’s cutting-edge technology and expertise to significantly improve clinician workflows and patient care through AI-powered solutions.

– Abridge also secured an investment from NVentures, NVIDIA’s venture capital arm, further solidifying their commitment to revolutionizing healthcare documentation

Unearthing a Sea of Lost Information

Daily, millions of healthcare professionals in the US engage in patient consultations. However, most of these crucial conversations are absent from medical records. Abridge identified this vast, untapped resource – the “oceans of missing data” – as an opportunity for AI to revolutionize healthcare.

Their AI systems can structure this information, automating tedious clerical tasks that burden clinicians, while simultaneously generating valuable insights to inform patient care. As Abridge’s solution gains traction across the US, achieving this ambitious goal necessitates both innovative methods and intelligent deployment of computing power.

The Power of Collaboration: Streamlining AI for Real-World Use

The Abridge and NVIDIA collaboration tackles these challenges head-on. By working together, they aim to:

• Advance AI Technologies for Seamless Documentation: From raw audio recordings in noisy environments to meticulously detailed medical records, Abridge requires a seamless collaboration of various AI technologies. This includes real-time language identification, transcription, alignment, and summarization of relevant medical information.
• Efficient Production Deployment: Deploying these AI models efficiently for nationwide use by clinicians is crucial. Abridge leverages NVIDIA’s cutting-edge technologies like NVIDIA TensorRT-LLM and the NVIDIA AI Enterprise platform to ensure smooth large-scale AI inferencing.

The collaboration between Abridge and NVIDIA paves the way for a future where AI streamlines clinical documentation, unlocks valuable insights from patient interactions, and ultimately empowers healthcare professionals to deliver better care.

“We are thrilled to work with NVIDIA to elevate our research efforts. This collaboration will help us to redefine the possibilities for clinically specialized foundation models, advance medical speech and language technology, and innovate in the space of responsible AI,” said Zachary Lipton, Chief Technology and Scientific Officer of Abridge and the Raj Reddy Assistant Professor of Machine Learning at Carnegie Mellon University. “We’re also working with NVIDIA on core research efforts and plan to explore novel collaborative research in healthcare applications that could improve the lives of clinicians and patients every day.”

What You Should Know:

– Regard, a provider of AI-powered clinical automation for Electronic Health Records (EHRs), today announced a significant expansion of its partnership with Banner Health.

– The enterprise-wide agreement will see Regard’s technology deployed across all 33 of Banner’s acute-care hospitals in six states throughout 2024.

Building on a Successful Pilot

Building upon a successful pilot program launched in June 2022 at Banner Thunderbird Medical Center, Banner Health will now roll out Regard’s AI platform across all 33 of its acute-care hospitals spanning six states. This phased implementation throughout 2024 demonstrates Banner Health’s commitment to leveraging technology to empower clinicians and enhance patient experiences.

Combatting Clinician Burnout with AI

In today’s healthcare landscape, clinician burnout is a growing concern. Regard’s AI technology aims to address this challenge by streamlining workflows and freeing up valuable time for clinicians. By automating tasks like chart reviews and note generation, Regard allows physicians to focus more on direct patient interaction.

Streamlined Workflows, Improved Patient Care

Regard’s AI algorithms analyze a patient’s entire medical record and generate real-time insights to improve both workflow efficiency and patient care. The platform can automatically add details to clinicians’ diagnoses, saving significant time compared to manual data entry. Additionally, Regard enhances clinical documentation post-consultation, improving communication between clinicians and optimizing for accurate reimbursement.

Reduced Administrative Burden, Improved Revenue Cycle

By streamlining workflows and reducing the need for manual chart reviews and queries, Regard helps to significantly decrease administrative burdens for clinicians and the CDI (Clinical Documentation Improvement) team. This translates to less time spent on tedious tasks and potentially fewer denial appeals, ultimately improving the hospital’s financial health.

“Banner is a leader in innovation, and we’re proud to partner with their teams to address care team burnout and ensure their patients receive the best care, by surfacing critical information that exists within the EMR,” said Nate Wilson, Regard’s Chief Operating Officer and Co-Founder.

What You Should Know:

– Playback Health, a healthcare technology company forms a three-year strategic integration partnership with Northwell Health, the largest health system in New York state.

– The partnership focuses on integrating Playback Health’s innovative clinical communication platform with Northwell Health’s dedication to exceptional patient care. A key component of this initiative is the introduction of Playback Health’s latest AI-powered feature, Notes.

Introducing Notes: Transforming Clinical Documentation

Notes utilizes artificial intelligence to revolutionize how healthcare providers capture, manage, and share vital patient information. This translates to several key benefits:

• Time Saved, Care Enhanced: Notes empowers providers to save up to three hours daily on documentation, freeing their time for direct patient interaction and improved workflow efficiency.
• Accuracy and Precision: The AI-driven technology enhances clinical documentation accuracy, minimizing errors and ensuring a complete and reliable patient record.
• Adaptable to Diverse Needs: Notes is designed to adapt to various medical specialties, ensuring seamless integration for healthcare providers across different disciplines.

A Partnership Built on Shared Vision

This collaboration strengthens a relationship established in 2019. Previously, Northwell Health partnered with Playback Health to leverage their communication platform for a more streamlined and effective care experience by connecting clinicians, patients, and families at the point of care.

“Northwell Health has long been a champion of digital health and care innovation, and we are thrilled to continue our journey together,” said Gregory Odland, CEO and co-founder of Playback Health. “The introduction of Notes underscores our dedication to developing solutions that make a tangible impact on clinicians’ daily lives, empowering them to focus more on patient care and less on administrative tasks.”

What You Should Know:

• DeepScribe, a pioneer in ambient AI documentation for healthcare, today unveiled “Real-Time.” 
• With the addition of Real-Time to the DeepScribe platform, clinicians gain a new level of control over their notes, empowering them to clarify details directly in their EHR while the patient encounter is happening.

Transforming Healthcare Documentation: DeepScribe’s Real-Time Revolution

Although GPT-4 has gained widespread acceptance, challenges persist in healthcare’s mission-critical applications due to latency and cost concerns. Despite advancements like ambient documentation, a common issue remains –  notes are generated only after patient conversations conclude, limiting time savings and physician acceptance.

At the heart of Real-Time lies HealAI, DeepScribe’s specialized clinical large language model (LLM) trained on over 3 million labeled medical conversations. Unlike conventional methods that process notes post-visit, HealAI now operates live during consultations, conducting hundreds of inferences while maintaining DeepScribe’s unparalleled note accuracy.

Real-Time from DeepScribe redefines the documentation experience for clinicians with three key benefits:

1. Instantaneous Notes: Notes are generated in real-time during patient visits with no delay.

2. Live Feedback: Clinicians can amend or clarify note details during consultations, enhancing accuracy.

3. Optimized Handoffs: Workflows are streamlined with multiple touchpoints; for instance, physicians can review Real-Time documentation before meeting patients if medical assistants handle intake.

By leveraging DeepScribe’s Real-Time feature alongside Customization Studio and Trust and Safety Suite, health systems can implement the industry’s quickest, most adaptable, and reliable solution for ambient documentation.

“Real-Time represents the biggest breakthrough in ambient clinical documentation since large language models,” said Akilesh Bapu, CEO and Co-Founder of DeepScribe. “It is also one of the most frequently requested functionalities by our clinicians and it makes a lot of sense: Healthcare happens in real-time. Why wouldn’t your notes?” 

What You Should Know:

– Sunoh.ai, a leading provider of AI-powered ambient listening technology for healthcare, announced today its successful integration with Epic’s open interoperability platform, fhir.epic.com. 

– The integration enables doctors using Epic EHR to leverage Sunoh’s capabilities to streamline clinical documentation and improve patient care. Providers using Epic®’s EHR system can search and request Sunoh.ai app on fhir.epic.com

What is Sunoh.ai?

Sunoh.ai uses AI to listen in on conversations between healthcare providers and patients, during both in-office visits and telehealth appointments. It then automatically transcribes these conversations and converts them into comprehensive clinical documentation, including:

– SOAP notes

– Lab orders

– Imaging requests

– Procedures performed

– Medication orders

– Follow-up details

This integration with Epic builds on Sunoh.ai’s previous success with eClinicalWorks, another leading EHR system. Users of both platforms can now experience the benefits of AI-powered documentation.

“This integration symbolizes our commitment to delivering advanced and innovative AI solutions to the healthcare industry,” said Saurabh Singh, VP of Sunoh.ai. “Our goal is to help physicians nationwide to streamline clinical documentation, regardless of the EHR system they utilize, and to ultimately improve patient care.”

What You Should Know:

– Stanford Health Care, a leader in medical innovation, is deploying Nuance Dragon® Ambient eXperience™ (DAX™) Copilot to streamline clinical documentation and improve patient care.

– The AI-powered clinical documentation solution automates the creation of clinical summaries during patient exams, freeing up physicians’ time and reducing administrative burdens.

Combating Physician Burnout with AI

Physician burnout is a major concern in the healthcare industry.  DAX Copilot directly addresses this by automatically creating draft summaries of patient encounters, freeing up physicians’ time for more patient interaction and reducing administrative burden. Physician burnout is a major concern in the healthcare industry.

DAX Copilot addresses this by:

– Automating documentation: The system uses advanced AI to capture conversations during patient visits and generate draft summaries in seconds.

– Reducing administrative tasks: Physicians spend less time on paperwork and more time interacting with patients.

– Improving efficiency: Streamlined documentation allows doctors to see more patients each day.

“DAX Copilot is part of our broader strategy to leverage AI to transform the health care experience for our providers and the patients we serve. By automating clinical documentation, we can increase efficiency while improving the quality of the clinical data captured during each encounter,” said Dr. Michael A. Pfeffer, Chief Information Officer and Associate Dean, Stanford Health Care and Stanford School of Medicine. “Backed by Nuance and Microsoft, DAX Copilot has shown significant value for our physicians who used the solution during our initial pilot deployment. Patients whose providers participated in the pilot also appreciated having their doctor’s full and undivided attention during clinic or telehealth visits. We’re looking forward to rolling the solution out across all of our facilities and clinics.”

What You Should Know:

– DeepScribe, a pioneer in AI-powered medical documentation, today announced a collaboration with Amazon Web Services (AWS) aimed at accelerating the secure scaling of large language models (LLMs) within the healthcare sector.

– The strategic partnership will integrate AWS HealthScribe into DeepScribe’s platform, fueling the development of even more advanced AI-assisted clinical documentation solutions.

Scale Generative AI in Healthcare

DeepScribe utilizes a massive dataset of healthcare records to train its purpose-built AI models. This enables the creation of highly accurate and customizable notes designed specifically for clinical settings. The integration of AWS HealthScribe, a HIPAA-eligible service, will enhance the performance of DeepScribe’s cutting-edge model, HealAI, in critical areas of clinical documentation. Additionally, AWS HealthScribe, a HIPAA-eligible service, will be integrated to further refine the accuracy of DeepScribe’s advanced HealAI model, especially in critical areas of clinical notes.

“We are excited to be working with AWS to eliminate the burden of documentation for exponentially more providers and unlock better, more accurate medical reasoning capabilities. AWS generative AI services, paired with our dataset, will allow us to push the boundaries of AI in care delivery,” says Akilesh Bapu, CEO of DeepScribe.

What You Should Know:

– Abridge, the leading force in generative AI for clinical documentation, announced today a staggering $150 million Series C funding round led by Lightspeed Venture Partners. The funding also includes participation from new and existing investors like Redpoint Ventures, IVP, Spark Capital, Union Square Ventures, Bessemer Venture Partners, Wittington Ventures, Mass General Brigham Artificial Intelligence and Digital Innovation Fund (AIDIF), Kaiser Permanente Ventures, and CVS Health Ventures.

– The funding, just four months after their $30M Series B round, stands as one of the largest in generative AI for healthcare and underscores the immense potential of Abridge’s technology.

Yale New Haven Health System Adopts Abridge

Coinciding with the funding news, Abridge announced a significant partnership with Yale New Haven Health System, the largest healthcare system in Connecticut. This agreement will provide thousands of Yale New Haven clinicians with access to Abridge’s AI-powered documentation platform. The initial focus will be on reducing documentation burden and allowing clinicians to dedicate more time to patient care.

Building Trust with “Linked Evidence” Technology

Abridge sets itself apart with its unique “Linked Evidence” feature, which maps AI-generated summaries directly to their source data, ensuring transparency and building trust among healthcare professionals. This auditable approach is crucial for the responsible deployment of AI in sensitive medical environments.

Pushing Boundaries in Generative AI

With the new funding, Abridge plans to invest heavily in fundamental research, developing next-generation AI models based on vast amounts of healthcare data. This will fuel continued improvement of their existing products and pave the way for exciting new possibilities in the future.

“We are grateful to be partnering with iconic institutions that share our dedication to improving the lives of patients and clinicians,” said Dr. Shiv Rao, CEO and Founder of Abridge. “This company was founded on the premise that clinician-patient conversations are at the core of all healthcare. Already, this information is powering a revolution in AI-based documentation. In the future, it will open new pathways to improve patient outcomes. Realizing this vision requires world-class talent and formidable compute resources. We are now uniquely positioned to build the AI platform that brings this vision to life.”

What You Should Know:

– Nuance® Communications, a Microsoft company announced Nuance® Dragon® Ambient eXperience™ Copilot (DAX Copilot) is now fully integrated into the Epic electronic health record (EHR).

– This AI-powered system automates clinical documentation, streamlines workflows, and empowers physicians to focus on what truly matters – their patients.

Transforming Healthcare Experiences with Automated Clinical Documentation

This industry-first integration is the result of a groundbreaking partnership between Microsoft, Nuance, and Epic. It leverages Nuance’s proven DAX ambient AI technology, already used by thousands of providers, and seamlessly embeds it within the familiar Epic platform. DAX Copilot prioritizes data security and adheres to HIPAA compliance.

Benefits that Ripple Out

For healthcare professionals, DAX Copilot delivers tangible improvements:

• Reduced Documentation Time: Save up to 50% on charting, freeing up precious time for patient care.
• Increased Patient Volume: See more patients per day without compromising quality.
• Reduced Burnout: Minimize fatigue and stress with a streamlined workflow.

But the benefits extend far beyond the clinician

• Enhanced Patient Experience: Enjoy more focused, conversational interactions with your doctor.
• Improved Care Coordination: Seamless documentation fosters better communication and continuity of care.

Early Adopters Share Positive Results

OCHIN, Lifespan Health, and UNC Health are among the first to deploy DAX Copilot embedded in Epic. Their feedback is overwhelmingly positive:

• OCHIN: “This integrated solution empowers our network providers to deliver efficient, connected care to their patients.”
• UNC Health: “DAX Copilot enhances the Epic EHR by making documentation intuitive and promoting patient-centered care.”

“Our core goal is to improve the care of every patient,” says Seth Hain, SVP of R&D at Epic. “DAX Copilot allows clinicians to focus on conversations, while the system takes care of the heavy lifting.”

What You Should Know:

– Children’s Health, a pediatric health system announced it has deployed Pieces, a clinically-oriented generative AI solution, across its inpatient care. 

– Pieces seamlessly integrates with the hospital’s Epic EMR and has quickly become a daily tool for doctors, nurses, and case managers, facilitating clinical handoffs, managing length of stay, tackling discharge barriers, enhancing team communication, and supporting multidisciplinary rounds.

Real-Time “Working Clinical Summaries

Pieces generates concise, 100-word summaries of a patient’s clinical journey, regardless of length of stay or complexity of care. This real-time insight, available across diverse specialties like hospital medicine, child psychiatry, and neonatology, allows for efficient handoffs, improved team communication, and better-informed decision-making.

User Acceptance Adoption

Within weeks of implementation, Pieces has achieved remarkable user acceptance, seamlessly integrating into the existing Epic EMR system. This rapid adoption speaks volumes about the tool’s intuitive design and immediate value proposition.

Addressing Pediatric Nuances

A key challenge for AI in healthcare is adapting to the unique clinical presentations and needs of children. Pieces successfully overcomes this hurdle by employing a combination of contextual modeling, collaborative and adversarial AI, and human-in-the-loop supervision. This comprehensive approach ensures accurate and reliable summaries across a wide range of pediatric age groups.

The Children’s Health deployment of Pieces marks a significant milestone in AI integration within pediatric healthcare. Its success in streamlining clinical workflows, improving communication, and enhancing care delivery demonstrates the immense potential of AI to revolutionize healthcare for patients of all ages.

“We are encouraged by the positive responses to this technology from our care teams,” said Dr. Philip Bernard, chief medical information officer at Children’s Health. “Our clinicians recognize that Generative AI will allow our teams to enhance high-quality, innovative care. Pieces is delivering meaningful and generative AI for our patients, ensuring the safe use of this technology today.”