Think of ways to improve patient care and reduce the administrative burden. Did your mind boggle, and you could not think of a single solution to do both? Let us tell you that an exciting healthcare software is available that does the trick.

Electronic health records (EHRs) are digital charts of patients’ complete information. These can be shared among different healthcare providers and healthcare systems. This data can include contact information, allergies, family history, disease information, and more.

Your intriguing mind must have forced you to ponder how it will help deliver extraordinary care while reducing the burden on healthcare professionals. Wait! Let us explain to make things clearer.

How does EHR reduce the burden on providers?

EHR software systems store patients’ health information digitally, making it readily available for healthcare providers to make informed decisions.

These systems are a great way to enhance healthcare professionals’ collaboration by allowing seamless patient information sharing across various systems. With this solution in action, healthcare providers don’t have to waste time collecting information from the same patient over and over again.

By doing so, they significantly relieve the stress on providers and help them focus on what matters the most. What’s more, these solutions reduce the chances of errors. These captivating benefits have led to the widespread adoption of EHR solutions. A recent report states that around 86% of healthcare professionalsin the European Union use EHRs.

What if we say that the functionality of custom EHR software solutions can significantly improve using artificial intelligence? Yes, you heard it right. Let’s explore the role of AI in enhancing custom EHR functionality.

How AI is Enhancing Custom EHR Functionality

EHRs have played a crucial role in automating administrative tasks and delivering quality care to everyone. However, the integration of AI with EHR software solutions takes it to a whole new level. Here is how AI plays its role in enhancing the custom EHR functionality:

Data Management

As already discussed, all pivotal patient information is stored in EHRs. The management and organization of this data is a big challenge in itself. However, artificial intelligence can help resolve it.

AI manages and organizes this data efficiently. It categorizes and structures the data, making it easy to understand. It enables healthcare providers to make timely and informed decisions for better health outcomes.

Reduces the Burden of Administrative Tasks

The integration of AI into the EHRs significantly reduces the administrative burden on nurses and doctors. Now, they don’t have to spend 66% of their time on paperwork and other administrative tasks, like appointment scheduling.

Other than this, AI can send automated reminders to providers and patients for upcoming appointments and medications. This automation of tasks allows providers to focus on the delivery of effective healthcare so that patients can get the care they deserve.

Enhanced Data Analysis and Insights

Are you familiar with AI’s potential to analyze a large amount of data? AI can inspect complete patient data, including genomic data, imaging reports, and medical records. You might be thinking about how it benefits the providers.

Artificial intelligence identifies any patterns and trends in a large dataset that contribute to better prediction and decision-making. A human can overlook these patterns, but it is impossible for AI to neglect or overlook such crucial patterns. It leads to more accurate diagnoses, personalized treatment plans, and early detection of diseases.

Clinical Decision Support

AI-powered EHRs serve as smart assistants for healthcare professionals. They provide evidence-based recommendations and alerts to support providers. AI can propose potential diagnoses and treatment plans by examining patient data alongside medical literature and highlighting possible drug interactions or allergies. All of this will help doctors make informed decisions.

Challenges of Implementing AI

No one can deny the compelling benefits of AI-powered EHR software solutions. However, it poses a range of challenges. These include:

1.   Security Concerns

Patient data is susceptible. EHRs contain all patient information, so protecting them is crucial. Moreover, the integration of AI raises concerns even more. Organizations must ensure that EHR software complies with multiple regulatory authorities, such as HIPAA.

2.   Data Quality & Bias

Do you know that AI solutions are dependent on the quality of data? If the data quality isn’t good, you can’t expect the outcomes to be great. If the data is biased, inaccurate, or incomplete, the AI solutions won’t be able to generate accurate outcomes. Organizations must remove any data biases or inaccuracies to achieve desired results.

3.   Integration of AI into Existing EHR Software

There are several scenarios where a solution works optimally, but as soon as you integrate it with another technology, it disrupts its functionality. The same holds true for integration of AI into your existing EHR solution. You need the expertise of an AI development company, like Xeven Solutions, to overcome this concern and integrate AI to enhance its performance.

How much does a custom AI-powered EHR software cost?

If you expect someone to tell you the exact cost of developing an AI-driven EHR software development, then let us clarify that it isn’t possible. The costs of developing EHR software with AI integration depend on several crucial factors. These factors include:

• Complexity of the EMR software
• AI development company you choose
• Expertise
• Technology Stack
• Maintenance
• Timeframe

However, several reliable software development companies deliver custom AI-powered EMR software at around $350,000 and $500,000. The numbers can vastly vary from provider to provider.

Conclusion

The integration of Artificial intelligence into EHRs is revolutionizing the healthcare industry. It offers numerous benefits to improve patient health outcomes, including better data management and streamlining workflows. Several challenges are also presented during the integration of AI into the custom EHR to enhance its functionality, but these challenges pale in comparison to the enormous benefits. We can confidently say that the future of AI in EHRs promises more efficient, personalized, and patient-centric healthcare.