Consider ways to improve patient care and reduce administrative burden. Was your mind boggling and you couldn't find a single solution to do both? Let us tell you that there is an exciting healthcare software that does the trick.
Electronic health records (EHRs) are digital tables containing complete patient information. These can be shared between different health care providers and health systems. This data may include contact information, allergies, family history, disease information, etc.
Your intriguing mind must have forced you to think about how this would help provide extraordinary care while reducing the burden on healthcare professionals. Wait! Let us explain so that things are clearer.
How does the EHR reduce provider burden?
EHR software systems store patient health information digitally, making it easily accessible to healthcare providers so they can make informed decisions.
These systems are a great way to improve collaboration between healthcare professionals by enabling seamless sharing of patient information between different systems. With this solution in action, healthcare providers don't waste time collecting information about the same patient over and over again.
In doing so, they significantly relieve providers’ stress and help them focus on what matters most. In addition, these solutions reduce the risk of errors. These captivating benefits have led to the widespread adoption of EHR solutions. A recent report indicates that around 86% of healthcare professionals in the European Union use EHRs.
What if we said that the functionality of custom EHR software solutions can be significantly improved with artificial intelligence? Yes, you heard right. Let’s explore the role of AI in enhancing personalized EHR functionality.
How AI Improves Personalized EHR Functionality
EHRs have played a crucial role in automating administrative tasks and providing quality care to all. However, integrating AI with EHR software solutions takes it to a whole new level. Here's how AI plays its role in improving personalized EHR functionality:
Data management
As we already mentioned, all crucial patient information is stored in EHRs. Managing and organizing this data is a major challenge in itself. However, artificial intelligence can help solve this problem.
AI manages and organizes this data efficiently. It categorizes and structures 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
Integrating AI into EHRs significantly reduces the administrative burden on nurses and doctors. Now they no longer have to spend 66% of their time on paperwork and other administrative tasks, like making appointments.
Apart from this, AI can send automated reminders to providers and patients for upcoming appointments and medications. This automation of tasks allows providers to focus on delivering efficient healthcare so that patients can receive the care they deserve.
Improved data analysis and insights
Do you know the potential of AI to analyze large amounts of data? AI can inspect comprehensive patient data, including genomic data, imaging reports, and medical records. You may be thinking about the benefits this brings to providers.
Artificial intelligence identifies any patterns and trends in a large data set that contribute to better forecasting and decision-making. A human can overlook these patterns, but it is impossible for AI to overlook or ignore such crucial patterns. This leads to more accurate diagnoses, personalized treatment plans and early detection of diseases.
Clinical decision support
AI-powered EHRs serve as intelligent assistants for healthcare professionals. They provide evidence-based recommendations and alerts to support providers. AI can suggest potential diagnoses and treatment plans by reviewing patient data as well as 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 undeniable benefits of AI-based EHR software solutions. However, this poses a whole series of challenges. These include:
1. Security Concerns
Patient data is sensitive. EHRs contain all patient information, so protecting them is crucial. Additionally, there are even more concerns surrounding the integration of AI. Organizations must ensure that EHR software is compliant with several regulatory authorities, such as HIPAA.
2. Data quality and bias
Do you know that AI solutions depend on data quality? If the data quality is not good, you cannot expect the results to be great. If the data is biased, inaccurate or incomplete, AI solutions will not be able to generate accurate results. Organizations must remove any bias or inaccuracy from data to achieve the desired results.
3. Integrating 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 goes for integrating AI into your existing EHR solution. You need the expertise of an AI development company, like Xeven Solutionsto overcome this concern and integrate AI to improve its performance.
How much does custom AI-powered EHR software cost?
If you're expecting someone to tell you the exact cost of developing AI-based EHR software, let's clarify that this is not possible. The costs of developing EHR software with AI integration depend on several crucial factors. These factors include:
- Complexity of EMR software
- AI Development Company You Choose
- Skill
- Technology stack
- Interview
- Time lapse
However, several reliable software development companies offer custom AI-powered EMR software at around $350,000 and $500,000. Figures can vary significantly from provider to provider.
Conclusion
The integration of Artificial intelligence in EHRs is revolutionizing the healthcare sector. It offers many benefits to improve patient health outcomes, including better data management and streamlined workflows. Several challenges are also presented when integrating AI into the personalized EHR to improve 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-centered healthcare.