Electronic health records (EHRs) are crucial for managing healthcare in the digital age, but they come with challenges. Many systems available on the market are more complex than they are efficient, and the effort required to troubleshoot tech issues while treating patients can contribute to physician burnout. Additionally, compliance hurdles when sharing records digitally limit your software choices. Fortunately, recent developments in AI in electronic health records make it possible to overcome these challenges.

For successful implementation, it's essential to choose a partner with sufficient industry experience in both AI and EHRs. As a trusted leader in healthcare IT, PrognoCIS can help you update your practice management strategy by bringing AI-optimized EHRs directly to you.

What Is the State of EHRs Today?

An outdated EHR system can be more trouble than it’s worth, especially when it gets in the way of workflow efficiency. Not only does it increase the likelihood of documentation errors, but it also reduces patient satisfaction. Furthermore, you may see an uptick in workplace fatigue as your staff juggles patient care and charting tasks. Combined, these issues will negatively impact your bottom line.

Physicians, the backbone of any medical practice, are hindered by outdated EHR systems. With 77% of physicians reporting EHR-related burnout, the limitations of traditional EHRs can become a significant source of stress for both clinicians and administrators. These are the most common problems that lead to burnout.

Usability

Many EHRs are outfitted with overly complex user interfaces, which can disrupt workflows and contribute to input errors. An ideal EHR should feature an intuitive, easy-to-navigate dashboard that’s designed for quick data retrieval.

Data Silos

An EHR lacking interoperability often results in data silos, making it difficult to share information between different providers, departments, or locations. This can impact everything from e-prescriptions and routine labs to insurance claims and reimbursements.

Compliance

Due to the sensitive nature of patient data, EHRs must be HIPAA-compliant. Some organizations may not be able to move on from outdated systems if the available upgrades lack sufficient privacy controls.

Complexity

EHRs have many advanced features that are useful in the healthcare space but mastering them requires specialized training in addition to their other duties. Unfortunately, adopting an EHR with too many unnecessary features may result in staff resistance or the need for additional resources.

How Is AI Transforming EHRs?

PwC reports that AI's addressable market share in healthcare will more than double from 15% to over 30% by 2030 — and the market is projected to reach $868B. AI in electronic health records is becoming an important factor in running a profitable healthcare business.

Core AI EHR capabilities include:

Natural language processing in EHR for faster charting

Predictive analytics for proactive care

Automated workflows for admin efficiency

Intelligent clinical decision support (AI-driven alerts & recommendations)