Electronic health records have become a pivotal technology for healthcare institutions. Organizations are using it to capture a wide variety of patient and clinical data in the effort of delivering high-quality care across the board. However, while EHR does an amazing job collecting data, it often fails at delivering working insights. With heightened federal and industry attention on utilizing EHR, healthcare administrators must ensure that they are extracting all the value they can from their system.
Challenges of EHR
EHR data warehouses allow organizations to derive health statistics and research care trends. However, limitations of the technology can make these efforts more difficult to achieve. A report by the Centers for Disease Control and Prevention noted that some EHR content might not be accessible for analysis. In addition, the accuracy and completeness of entered data can be called into question based on human errors and level of coding training. Data elements must be interoperable to get the full picture from EHR, but a lack of standard coding can throw off reporting capabilities.
While EHR does have its challenges, it’s beneficial when used appropriately. FierceHealthcare noted that EHR allows patients to remember the next steps in their care, ensures doctors can share information with care partners and provides quicker access to records and results. EHR provides a unique opportunity to correct mistakes and improve patient engagement. It’s time healthcare operators start capitalizing on the capabilities of EHR.
AI Boosting EHR Value
As EHRs become more complex with increasingly larger datasets, healthcare administrators need a tool that will help them use this information to their advantage. AI for hospital operations can assist in delivering actionable insights and identifying critical trends. This type of information can be used to improve health outcomes, provide optimal treatment and direct the appropriate resources to the correct place at the right time. AI will help extract value from EHRs, take care to the next level and ultimately boost the organization’s bottom line.
Prediction traits are an essential part of AI’s potential to enhance EHR. In fact, a study found that AI operating alongside EHRs can assist in suicide prevention. Researchers used AI to assess patient medical history to determine which combination of risk factors most accurately predicted future suicide attempts, Becker’s Hospital Review reported. By using AI in conjunction with patient EHRs, doctors could predict suicide attempts with 80 to 90 percent accuracy as far as two years into the future.
Healthcare operators often use EHRs to alert clinicians when entered information meets certain conditions, guiding them to further examinations and treatments. However, analyzing information and building in these protocols by hand can take upwards of a year to achieve. Using AI to do the same work enables teams to develop protocols within just 10 days, according to Modern Medicine. This is a critical benefit to operational capabilities and will help deliver quality care. To find out more about how to extract value from EHR using AI, contact Qventus today.