The Future of Healthcare: Exploring the Best AI EHR Software and Systems

Discover the Top AI EHR Solutions Transforming Medical Practices


What is AI healthcare? It is the use of machines to analyze and act on medical data allowing doctors to treat a larger number of patients in a more efficient manner. As resources are scarce and demand continues to rise, a health care system that can assign these resources efficiently to health providers is needed. This system can always be improved, and it requires a three pronged strategy: improving the experience of care, improving the health of populations, and reducing per capita costs of health care.

The pandemic that struck in 2020 and 2021 brought a lot of new challenges to the healthcare system. Covid-19 forced all kinds of healthcare organizations to adjust to providing care from a distance. All of them had to revamp their software infrastructure; for some, this meant investing millions of dollars to replace their outdated and inefficient systems.

In this process, Artificial Intelligence gained a new relevance, as it has the potential to substantially improve many aspects of the healthcare system. Before going into detail, one must know what AI is. Artificial intelligence is a wide-ranging branch of computer science concerned with building machines that are capable of performing tasks that typically require human intelligence.

And how is this useful in healthcare? Computers can perform certain tasks much more efficiently than humans can. Having artificial intelligence embedded in healthcare processes could mean saving a lot of time and money. The possibilities are endless, but three main ways AI can help are implementing preventative medicine, enhancing the possibilities for new drug discovery, and speeding up administrative processes to save time and money.

Artificial intelligence can be complicated to develop, especially when dealing with sensitive information like a patient's health data. Luckily there are an increasing number of companies developing these types of technologies to improve healthcare. Let's visit some of the most innovative companies using AI to help deliver better care:

Here are the Top Innovative AI Companies in Healthcare.

Praxis EMR, rated the best AI EHR in healthcare, is also among the top AI healthcare systems including IBM Watson, Google Health, Microsoft, Amazon, Augmedix, Path AI, Butterfly Network, Arterys, and Atomwise.



Praxis EMR
IBM Watson
Google Healthcare
Microsoft
Amazon
Augmedix
Path AI
Microsoft
Tempus
Atomwise
Praxis EMR
Praxis EMR

1. Praxis EMR

Praxis is an AI-based EMR/EHR company. Instead of the industry-standard template approach, Praxis uses neural networks to let physicians chart in their own words. It is based on a technology called Concept Processing, which uses a neural network engine to provide flexible user interfaces. The Concept Processor captures the physician's input and classifies it into "semantic nodes", creating a knowledge base. When a similar case is presented to the doctor, the system automatically brings up the closest match, allowing to reuse concepts and drastically reducing the time spent charting.

Even though no two patients are the same, there are cases which appear more frequently than others. There could even be a case that is practically identical to one charted in the past; in this scenario, Praxis generates the note instantly, including prescriptions, instructions to the patient, procedure reports and more.

If the case presented is similar to one charted before, the AI brings up notes from the closest case, and the physician's job is reduced to editing it to meet the current conditions. The Concept Processor will "remember" this new note, so the more the user charts with Praxis the more accurate it gets. Even with rare cases the doctor has never encountered before, the software can speed up the charting process by bringing up concepts that may be applicable.

Thanks to the underlying technology, Praxis EMR is constantly rated #1 EHR system on user satisfaction and user recommendations. It prevents doctors from filling out endless templates, it makes charting significantly easier. and, helps reduce physician burnout.


Why should you use this AI?

Usability

It is an EMR that learns from the user, adjusting to their personal needs and preferences.

Saves time

Praxis reduces the time physicians spend charting by 2-3 hours a day, letting them devote more time to their patients.

Helps daily functions

Apart from its EMR functions, Praxis acts like a checklist so physicians don't forget to ask the pertinent questions or perform the necessary examinations.

IBM Watson
IBM Watson

2. IBM Watson

IBM Watson is one of the companies that serves as an example of the capabilities of AI in the healthcare environment. For example, Watson can contribute to clinical decision support systems: a physician can describe symptoms and other related factors of their patient, and the software will analyze several data sources, such as treatment guidelines, electronic medical record (EMR) data and patient information, to present a list of recommendations. It is worth noting that Watson is not meant to be used as a tool for diagnosis, but rather as a medical assistant that can suggest treatment options.

IBM Watson Health is at the forefront of personalized medicine, using AI algorithms to analyze individual patient data and genetic information to recommend personalized treatment options. This can lead to more targeted and effective healthcare interventions tailored to each patient's unique characteristics.

Watson Health offers tools that enable researchers and healthcare organizations to access and analyze large-scale healthcare data sets for research purposes. By providing insights into population health trends, disease patterns, and treatment outcomes, Watson Health contributes to advancing medical research and improving healthcare delivery.


Why should you use this AI?

Data analytics

IBM Watson helps you take advantage of your organization's data, implementing complex analytics to gain insights at scale.

Longstanding reputation

The company has a trajectory in enterprise hardware and software and can ensure data safety and security.

Interoperability.

IBM provides an interoperability maturity assessment with prioritized use cases and capabilities.

Google Health
Google Health

3. Google Health

Google, with its Google Health division, is also invested in developing technology solutions to enable care teams to deliver better, faster and more connected care. The company has its focus on AI-enabled imaging and diagnostics, that could eventually support medical specialists in diagnosing disease, and genomic analysis to guide disease prevention and care.

Some of the real applications include:

  • Improving access to skin disease information. The tool that Google built can help individuals better research & identify their skin, hair, and nail conditions. According to the company, it supports hundreds of conditions, including more than 80% of the conditions seen in clinics and more than 90% of the most commonly searched conditions.
  • Using AI to address age-related eye diseases. Google's Deepmind artificial intelligence can accurately predict treatments for more than 50 eye diseases. If more people get access to this tool, eye problems can be caught earlier, and vision loss can be slowed or saved.
  • Accurately calling genetic variants present in an individual genome. With DeepVariant, an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data, Google aims to improves the accuracy in identifying variant locations, reducing the error rate by more than 50%.

Why should you use this AI?

Top image detection software

Google Health specializes in computer vision solutions and image searching.

Interoperability

Google is known for its seamless integrations with multiple applications, such as Google Maps, Google Cloud, or Google Fit.

Privacy

The company guarantees that strict privacy protocols are followed throughout every product's development.

Microsoft
Microsoft Cloud for Healthcare

4. Microsoft Cloud for Healthcare

Microsoft is another company that is making efforts to improve healthcare. Their cloud solution provides capabilities to manage large repositories of data and help healthcare organizations provide better care while improving support security, compliance and interoperability of health record information. Here are the three areas where Microsoft Cloud for Healthcare stands out:

  • Patient engagement. Enabling data to flow securely through every point of care to give patients a better experience and superior health results.
  • Improving health data insights. Connecting clinical and operational data across systems to predict risk and mobilize for ongoing quality improvement.
  • Protecting health information. Securing sensitive health data to support privacy and security while managing evolving compliance requirements.

Microsoft can offer a wide range of solutions using multiple of their products, such as Azure, Dynamics 365, HoloLens, Microsoft 365, Microsoft Teams and Power platform.


Why should you use this AI?

HL7 FHIR

Microsoft uses HL7 FHIR to make sure data from all sources can be analyzed.

Collaboration

Through Microsoft Teams, the company provides a strong collaboration ecosystem to optimize care team performance, strengthen care pathways, and reduce time-to-treatment.

Cloud integration

With Microsoft Cloud for Healthcare you can take advantage of all the power of Azure.

Amazon
Amazon

5. Amazon

Amazon has incorporated AI into every facet of its company, such as targeted advertising, e-commerce search results, and AWS. Alexa, Amazon's virtual assistant, is among the most popular ones and has found its way into several American households. Amazon's AWS cloud clients may take use of a variety of AI capabilities, including sophisticated text analytics, automated code evaluations, and chatbots.

Amazon has a strong focus on machine learning and AI research, and it has developed advanced AI tools and services that can be applied to healthcare use cases. Amazon's expertise in natural language processing, computer vision, predictive analytics, and recommendation systems can be harnessed to improve healthcare processes and outcomes.

Amazon's acquisition of PillPack, an online pharmacy, demonstrates its interest in disrupting the healthcare industry and exploring innovative ways to deliver medications and healthcare services to customers. PillPack's technology and operations could benefit from Amazon's AI capabilities in the future.


Why should you use this AI?

AWS

AWS makes it easier to access the services, data, models, and secure infrastructure needed to scale generative AI across your organization.

Security and privacy

Your data remains protected and private when you customize foundation models

ScribeEMR

This system is able to capture and interpret patient data more efficiently and reduce clinician burnout

Augmedix
Augmedix

6. Augmedix

Specialized in medical documentation Augmedix has created tools to take data from real-time doctor-patient talks and turn it into medical notes that are instantly synced to healthcare providers' electronic health record (EHR) systems. In addition to saving a lot of time for the industry, addressing the administrative constraints of healthcare workers and automating these operations may also help lessen the symptoms of burnout among medical professionals.

The company recently announced the introduction of "Chart prep," a new service that uses technology to produce a patient note for the doctor based on the patient's prior medical information and the specific sort of visit. Physicians can eliminate this labor-intensive task in advance by simply reviewing the information before seeing the patient. The data that is gathered includes demographics about the patient, medication changes, recent medical history, imaging, lab and diagnostic results, immunization history, and previous medical, family, and social history.


Why should you use this AI?

Improved Workflow

Augmedix AI seamlessly integrates with existing electronic health record (EHR) systems, streamlining the documentation process and making it easier for healthcare providers to access patient information when needed.

Cost-Effectiveness

By increasing productivity and reducing documentation time, Augmedix AI can help healthcare facilities save on administrative costs and potentially increase revenue by allowing providers to see more patients.

Enhanced Patient Interaction

With the burden of documentation lightened, healthcare professionals using Augmedix AI can devote more time to meaningful interactions with patients, ultimately improving the overall patient experience.

Path AI
Path AI

7. Path AI

Path AI harnesses cutting-edge machine learning algorithms to analyze and interpret complex medical imaging data with high accuracy and efficiency. Through automating the analysis of pathology slides, Path AI significantly speeds up the diagnostic process, allowing for quicker detection and treatment of diseases.

It utilizes artificial intelligence to analyze pathology images, aiding pathologists in more accurate and efficient diagnoses. PathAI's AI system can detect patterns and anomalies in slides that may be missed by human eyes, leading to improved diagnostic accuracy and speed. This capability has the potential to revolutionize pathology practice, reduce error rates, and ultimately improve patient care outcomes.


Why should you use this AI?

Enhanced Insights

The advanced algorithms used by PathAI can provide additional insights and information from pathology images, leading to more comprehensive diagnostic assessments.

Consistency

AI systems like PathAI can provide consistent results, reducing variability in interpretations that may occur with different human pathologists.

Research Support

PathAI can be valuable for research applications, helping researchers analyze large volumes of pathology data quickly and explore novel patterns or correlations.

Butterfly Network
Butterfly Network

8. Butterfly Network

In order to develop a new portable medical imaging technology that can considerably reduce the cost and improve the efficiency of both MRIs and ultrasounds, Jonathan Rothberg founded Butterfly Network in 2011. Ultimately, he wants to automate as much of the imaging process as possible.

The first step in achieving this objective is the company's Butterfly iQ. With the use of Ultrasound-on-Chip technology, this compact handheld device can perform whole-body imaging with just one probe by substituting a single silicon chip for the conventional transducer system. This allows the device to emulate any kind of transducer, whether it be linear, curved, or phased. The Butterfly iQ is making remote medical imaging a reality by fusing semiconductors, artificial intelligence, and cloud technology in a portable form factor. This is beneficial to isolated populations, some of which are receiving such vital medical information for the first time.


Why should you use this AI?

Research

With this technology more research can be done and it can become more accessible.

Cost effective

Instead of going to a lab and paying multiple hospital bills this portable device can fulfill many different needs.

Education

With this technology more studies can be done leading to an increased understanding of the matter.

Tempus
Tempus

9. Tempus

Tempus operates at the forefront of medical imaging, artificial intelligence, and cloud technology. Tempus aims to revolutionize medical imaging by harnessing the power of AI and the cloud.

Its deep learning AI-powered platform, which has received FDA clearance, automates repetitive procedures and frees up doctors' time. This allows them to focus on providing high-quality patient care. The platform significantly reduces missed detections by up to 70%. Furthermore, Tempus's system provides users with around the clock connectivity, enabling access to critical patient data anytime, anywhere in the world.

In October 2022, Tempus Labs, a leading precision medicine AI company, acquired Arterys. This acquisition may have been one of the largest in the history of imaging AI, highlighting the ongoing evolution of the sector beyond traditional radiology use cases.


Why should you use this AI?

Diagnostic Accuracy

The Tempus platform enhances therapeutic value by deriving actionable insights from medical images.

Faster Processing Times

Tempus offers some of the fastest response times among radiology AI solutions.

Usability

With a single click, lesions and areas of interest can be examined, making the platform highly user-friendly.

Atomwise
Atomwise

10. Atomwise

This San Francisco-based startup promises to cut pharmaceutical research costs by utilizing supercomputers to forecast which possible medicines will and will not work based on a database of molecular structures.

Convolutional neural networks, an AI technique akin to that which permits self-driving cars or phone conversations, are the basis of their technology, known as AtomNet. AtomNet predicts the binding of tiny compounds to proteins and, in doing so, finds a safe and effective therapeutic candidate by using signals from thousands of protein structures and millions of experimental affinity measurements.

In August 2022, Atomwise struck a $1.2 billion research cooperation with Sanofi, which focuses on using the AtomNet platform to study tiny compounds targeting up to five different therapeutic targets. Deep learning is included into the platform for structure-based medication creation, allowing Atomwise's exclusive library of over 3 trillion synthesizable molecules to be quickly and intelligently searched.


Why should you use this AI?

Virtual screening

This accelerates the process of identifying potential drug candidates.

Development of treatments

Researchers can efficiently screen millions of compounds Atomwise.

Discovery of new drugs

Through the power of faster processing and their diverse portfolio Atomwise ia able to produce new drugs efficiently.

Other innovative companies implementing AI:


  • Nvidia, named Company of the Year for 2007 by Forbes, is positioned to be the #1 chip provider for the vast amount of processing power AI will demand in the near future. Indeed, the world's fastest supercomputer to this day is powered by Nvidia GPUs, and the company is planning to construct its own AI supercomputer lab in England. The stock of NVDA got a "buy" recommendation from Bank of America, considering that growing technology trends such as AI, Big Data and Machine Learning (just to name a few) will need unprecedented processing capacity.
  • Meta Platforms, the parent company of Facebook, has already included AI technology in its newsfeed and advertising algorithms, sparking criticism from skeptics who claim Meta is putting user safety and social stability on the back burner. Jerome Pesenti, the former leader of IBM Watson, joined Facebook's AI team in 2018 when the company shifted its focus to using AI to construct and grow the metaverse, a digital environment in which users live and interact. The metaverse will be a huge investment, although Meta stock is now trading at a discount.
  • DocuSign, an electronic signature and document automation company, has been significantly investing in AI technology in order to make contracts and paperwork more efficient. In 2020, the business paid $188 million for AI contract analysis company Seal Software. Contract AI can assist firms comb through millions of pages of contracts, court decisions, and regulatory requirements to quickly identify wording that might lead to legal challenges, privacy concerns, security problems, or even regulatory violations. According to Sills, the e-signature market is worth $24 billion to DocuSign.
  • Taiwan Semiconductor Manufacturing (TSM) is a factory that manufactures state-of-the-art AI chips for companies like Nvidia, Apple, Qualcomm and many others. TSM is also investing in its own AI hardware research, including near-memory and in-memory computing, integrated non-volatile memory technologies, 3D integration, and error-resilient computing. The expansion of IoT, the emergence of AI, and the rising complexity of mobile applications will fuel demand for TSM services and double-digit revenue growth in the coming years.
  • ABB is concentrating its efforts on creating industrial automation solutions that boost performance while reducing environmental impact. ABB's Industrial AI Accelerator program gives resources and support to AI tech entrepreneurs as they build industrial AI technologies. As the worldwide sector recovers from 2020 shutdowns, margins from its Process Automation division are at multi-year highs. ABB is a market leader in industrial electrification, robotics, and automation, despite recent supply chain restrictions.
  • NICE is a major developer of call center software and customer interaction management tools. Fraud detection and regulatory compliance are also made easier using NICE's AI and machine learning technologies. The company employs artificial intelligence (AI) to assist organizations in categorizing and analyzing voice interactions, harnessing the power of data analytics to enhance how businesses communicate with contact center personnel. Many firms are increasing expenditures in customer engagement activities in the post-pandemic environment, and NICE is a market leader in the contact center as a service
FAQ - Choosing the right EHR

How to select an EHR System


The adoption of EHR software offers a multitude of benefits for healthcare organizations, practitioners, and patients alike. One of the most significant advantages is the improvement in patient care quality. With EHRs, healthcare providers have instant access to up-to-date patient information, enabling them to make more informed clinical decisions and deliver personalized care tailored to each patient's needs.

Additionally, EHRs facilitate better care coordination among multidisciplinary healthcare teams, leading to more efficient and effective treatment plans.

Expert Insights: EHR software is not just a digital repository for patient data; it is a powerful tool that can enhance the quality and efficiency of healthcare delivery. By automating routine tasks, reducing paperwork, and minimizing errors, EHRs allow healthcare professionals to focus more on patient care.

Furthermore, the integration of decision support tools and clinical decision-making aids within EHR systems can help improve diagnostic accuracy and treatment outcomes.

What to look for in an AI

Is the technology good? (Is it real AI or is it only marketing)

Does the AI save you time?

Does the AI improve the care you can provide?

Is the AI making things easier?

Look for peer reviews of the system

Data integrity, privacy and security

Interoperability


Questions for the vendor

Who are your clients?

Do they you a demo video?

What results can I expect?

How interoperable is the system?

What customer support do you have?


What's the difference between
EMR and EHR?

The terms electronic medical record (EMR) and electronic health record (EHR) are synonymous today, but they did not start that way and some still argue that there is a difference. Praxis is a fully certified EHR. So, Praxis is an EHR. However the original term EMR is more precise, and should be preferred by medical practitioners.

Why does Praxis proudly claim to be the best EMR and not simply an EHR?

See why


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