Events Calendar

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12:00 AM - TEDMED 2017
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TEDMED 2017
2017-11-01 - 2017-11-03    
All Day
A healthy society is everyone’s business. That’s why TEDMED speakers are thought leaders and accomplished individuals from every sector of society, both inside and outside [...]
AMIA 2017 Annual Symposium
2017-11-04 - 2017-11-08    
All Day
Call for Participation We invite you to contribute your best work for presentation at the AMIA Annual Symposium – the foremost symposium for the science [...]
Beverly Hills Health IT Summit
2017-11-09 - 2017-11-10    
All Day
About Health IT Summits U.S. healthcare is at an inflection point right now, as policy mandates and internal healthcare system reform begin to take hold, [...]
Forbes Healthcare Summit
2017-11-29 - 2017-11-30    
All Day
ForbesLive leverages unique access to the world’s most influential leaders, policy-makers, entrepreneurs, and artists—uniting these global forces to harness their collective knowledge, address today’s critical [...]
Events on 2017-11-01
TEDMED 2017
1 Nov 17
La Quinta
Events on 2017-11-04
AMIA 2017 Annual Symposium
4 Nov 17
WASHINGTON
Events on 2017-11-09
Beverly Hills Health IT Summit
9 Nov 17
Los Angeles
Events on 2017-11-29
Forbes Healthcare Summit
29 Nov 17
New York
Latest News

New EHR software transforms healthcare with AI

Tailored for behavioral and integrated healthcare providers, AxiomEHR integrates AI-driven automation to streamline workflows, significantly reducing the screen time typically required by EHR systems. Data, organized and presented through a highly customizable interface, informs every healthcare decision. In trials, AxiomEHR saved clinicians an average of two hours per day compared to other solutions.

Jeff Oakes, CEO of ChangePoint Integrated Health, commended the collaborative partnership with HiMS, emphasizing AxiomEHR’s superior functionality and dedication to quality-based care. Positioned as a pioneer in innovation, AxiomEHR leads the integration of AI for process improvement.

Enhanced Provider-Patient Interaction with Intelligent Automation
AxiomEHR automates tasks from data capture to insights, starting with clinician notes, historically a time-consuming endeavor. Advanced natural language processing transcribes patient conversations, extracting vital information and converting spoken words into structured data.

Utilizing office-visit discussions, AxiomEHR fills crucial data fields such as patient ailments, history of present illness (HPI), diagnoses, treatment options, and social determinants of health. It even assesses patient sentiment and develops detailed profiles of discussed bodily systems.

Additionally, the system generates service plans, schedules appointments, and manages lab tests, continuously learning from provider data to improve accuracy and relevance.

AxiomEHR’s AI-driven automation extends to back-office functions like revenue cycle management, addressing issues such as under-coding, contract management, and missed claims appeal opportunities. In trials, billing codes were significantly more accurate and complete than those from leading market competitors.

Empowering User Experience through Customization
Recognizing the unique needs of each organization and role, AxiomEHR offers full configurability and customization options. Clinicians, nurses, billing clerks, and other users can personalize the platform, arranging functions and features intuitively and controlling the software via voice commands if desired.

This customization meets the industry’s demand for reduced screen time, increased intelligence, and improved automation. Users can access any feature with a single click, navigating through workflows seamlessly within an efficiency-focused dashboard drawing on gaming principles to enhance the user experience.

Moreover, AxiomEHR enhances the experience for senior executives by integrating a ChatGPT-style chatbot, enabling effortless extraction of insights from stored EHR system data.

Khalid Al-Maskari, founder and CEO of HiMS, underscored AxiomEHR’s transformative impact, aiming to alleviate paperwork and inefficiencies in integrated healthcare by leveraging AI expertise to create an EHR experience resonating with all users.