List of the Top Healthcare AI Software for athenaClinicals in 2026

Utilizing AI agents for the automation of patient chart reviews can significantly enhance efficiency, alleviate the workload on physicians, and ultimately foster better mental health among healthcare providers. By streamlining this process, the overall quality of care delivered to patients is also expected to improve. Sporo empowers clinicians to concentrate on what truly matters: their patients. The conventional practice of Manual Chart Review (MCR) consumes excessive time, contributing to physician burnout and negatively impacting patient outcomes. By leveraging cutting-edge technological advancements, we have developed sophisticated AI agents that can swiftly analyze extensive patient charts, offering concise summaries that can be reviewed in as little as 10 seconds. Our innovative solution is tailored to meet the demands of contemporary healthcare, supported by top-tier technology and expert guidance. With Sporo, healthcare professionals can efficiently prioritize critical aspects of a patient's medical history, allowing them to dedicate more time to direct patient care and decision-making. This not only enhances the clinician's experience but ultimately leads to better health results for patients.

Emily by FaceMed.ai is physician-led AI patient intake software built to give clinicians a better starting point for every consultation while keeping the patient experience simple. For many visits, 15-20 minutes can disappear into repetitive history-taking. Emily moves that conversation before the appointment. Patients open a secure browser link and speak with Emily in a natural, FaceTime-like video call. She listens, asks relevant follow-up questions, and can guide simple movements for visual observation when useful. This captures the depth of a conversation, beyond the checkboxes of a traditional form. Emily organizes what patients share into a structured, chart-ready intake note, including the chief concern, HPI, relevant medical and social history, medications, allergies and visual observations. Instead of starting from scratch, clinicians can get oriented with an initial 30-40-second report review, verify the details and focus the encounter on assessment and care. Unlike a generic chatbot or an AI scribe that documents a consultation as it happens, Emily collects the history before the visit. Physicians remain in control: they can define questions, tailor protocols and choose report formats to suit their workflows. Emily supports multilingual conversations and can be used without a required EHR integration for initial deployment. Designed for outpatient practices and virtual clinics across specialties and patient encounters, Emily helps reduce repetitive work, support more efficient visits and improve patient preparedness. Based on physician estimates, Emily saves an average of 11 minutes per encounter.

ScribeHealth employs cutting-edge AI technology to function as a medical scribe, attentively capturing conversations between patients and clinicians, while transcribing and categorizing clinical notes in real-time with minimal input needed from healthcare professionals. This groundbreaking solution demonstrates impressive accuracy, learns and evolves through user feedback, allowing most physicians to make only a few quick edits instead of drafting notes from scratch. It integrates smoothly with a variety of existing EHR/EMR systems such as Epic, Cerner, AllScripts, and Jane via secure APIs, while also adhering to HL7/FHIR standards to ensure that note synchronization fits effortlessly into the everyday workflow of clinicians. With strong security measures in place, including bank-level encryption, automatic deletion of audio files after transcription, and strict compliance with HIPAA regulations, patient confidentiality is rigorously safeguarded. Moreover, ScribeHealth offers additional features like session analytics, speaker recognition, and improved context comprehension for more effective extraction of symptoms and assessments, thus elevating the overall efficiency of clinical documentation. By enhancing the documentation process, this technology allows healthcare providers to devote more time to patient care instead of getting bogged down by administrative responsibilities, ultimately leading to improved outcomes for patients and providers alike. Consequently, ScribeHealth not only increases productivity but also fosters a more focused and attentive healthcare environment.

CallSara offers AI-powered voice agents that efficiently handle both incoming and outgoing calls, streamline data entry, and support healthcare operations continuously. This advanced system excels in managing appointments—whether booking, altering, or canceling—while also facilitating payment collection through automated reminders, engaging with patients before and after surgical procedures, following up on chronic care, addressing gaps in care, and overseeing communication during care transitions. Additionally, it integrates effortlessly with a variety of electronic health record systems and IVR platforms, such as AthenaHealth, eClinicalWorks, Allscripts, and RingCentral, allowing for a swift implementation process of about 30 days using pre-designed templates. The voice agents are capable of functioning in over 20 different languages and dialects, can escalate complex calls to human staff as needed, and generate transcripts and logs for future analysis. CallSara's mission is to enhance staff productivity, boasting a claim of saving at least two hours of work daily for each employee, reducing no-show rates to below 5%, managing up to 75% of incoming calls, and recovering lost revenue through targeted follow-up methods. In addition, the adoption of CallSara not only improves patient satisfaction levels but also plays a significant role in advancing overall healthcare outcomes, fostering a more effective and responsive healthcare environment. Ultimately, the integration of such technology signifies a leap towards a more efficient system that prioritizes both patient care and operational excellence.