One of the benefits of AI in healthcare is relieving paperwork. Did you know that, according to the Medscape Physician Compensation 2023 report, doctors spend an average of 15.5 hours per week on administrative tasks? Most doctors contend that paperwork hinders their medical services and fails to ensure a streamlined workflow.

Imagine booking an appointment with your physician, but when you visit him, you find him busy with administrative work. Thus, the paperwork becomes the biggest hurdle in your check-up, compromising your healthcare.

In such circumstances, AI healthcare applications have the potential to bridge the gaps and revolutionize the global healthcare system. Here, we explore the increasing role of AI in healthcare!

KEY TAKEAWAYS 

• Increasing dependence on technology provides a huge impetus to shift to Artificial Intelligence healthcare systems. 

• Benefits of AI in healthcare go beyond patient care, by relieving physicians’ administrative workload and reducing post-treatment expenditures. 

• AI scanning, scribing, and claim editing are some of the best AI healthcare applications that can change the way workflows are managed by practices. 

Benefits of AI in Healthcare

AI healthcare applications can give you several medical, administrative, economic, and social benefits. Let's discuss some of the key benefits of AI in healthcare!

1. Relieving Administrative workload

A recent report by the World Health Organization suggests that the global healthcare system is expected to reach a shortage of 11 million healthcare workers by 2030. This implies that few physicians will be available in your hospitals who will not only provide patient care but also manage the administrative workload.

This problem provides considerable impetus for AI healthcare applications. The AI-supported documentation tools can now create a summary of the patient-provider conversation, which is then saved in the patient's health records for the future.

AI healthcare applications can also alleviate physicians' administrative burdens by assisting them with data analysis, image interpretation, and other paperwork. By using these tools, AI helps save time and manual labor for physicians, ultimately improving patient care.

2. Prediction of Risks and Diseases

The benefits of AI in healthcare have proven significant in various ways. For instance, in cardiology, AI techniques are widely used to detect the early stage of congestive heart failure and improve patient risk assessment of arterial diseases.

AI healthcare applications also include leveraging big data for an early risk assessment to predict diseases. For instance, Google collaborates with health delivery networks to develop prediction models that alert clinicians to high-risk illnesses like sepsis and heart failure.

Machine learning models built on AI technologies can also predict the populations at risk of particular accidents or diseases. Moreover, AI algorithms such as deep learning assist in disease classification and enable more patient-centered healthcare.

3. Reduces Posttreatment Expenditures

AI-powered systems can also benefit you economically by analyzing post-treatment result patterns and identifying effective remedies based on a patient's medical records. Such a personalized approach can significantly reduce the cost associated with posttreatment procedures.

AI-powered systems can also develop personalized treatment plans by analyzing genetic makeup, medical history, and lifestyle. This is one of the AI healthcare applications that increases the effectiveness of the treatment, reducing unnecessary hospital stays and ultimately cutting down expenditures.

The benefits of AI in healthcare are not limited to patients or physicians; they also optimize hospital and laboratory management systems. AI-powered predictive analytics can forecast patient flow, helping hospitals allocate staff and resources more effectively, reducing waste, and improving care delivery.

A Glance at AI Use Cases in Healthcare! 

AI is revolutionizing healthcare systems by personalizing treatment plans, improving clinical decision support systems, and providing telehealth platforms. Such AI use cases in healthcare have given a new dimension to the healthcare system.

1. Personalized Treatment Plans

Personalized treatment plans are designed using strategies that focus on an individual rather than a one-size-fits-all approach. This feature is AI-driven and creates customized plans that consider genetic makeup and lifestyle factors.

In such treatment plans, personalized medicines play a pivotal role in utilizing data from various sources, such as previous medical records, imaging results, and genetic information.

The application of personalized medicine is likely to improve patient care and lower expenditures as well. Thus, the process turns out to be one of the best healthcare AI use cases.

2. AI in Robotic Surgeries 

In the era of AI, the advent of Automated Performance Metrics (APM) has revolutionized surgical healthcare. APMs rely on kinematic and video evaluation and serve as objective, actionable, and real-time assessment tools. Combining APM with ML can produce objective assessment metrics of surgeon performance. Such healthcare AI use cases are developing robust healthcare technology.

While integrating AI into robotic surgeries, ethical considerations must be preserved. Developing ML models for robotic surgery requires large-scale data sharing across multiple institutions. Using a standardized method to anonymize data from data collection to data usage is critical for privacy protection.

3. AI in EHR

Benefits of AI in healthcare go beyond hospitals and laboratories. Electronic Health Record  (EHR) systems can process massive amounts of patient data by leveraging AI tools, leading to effective healthcare management. AI-EHR is one of the best examples of healthcare AI use cases.

AI EHRs can streamline workflow, provide treatment recommendations, and enhance physician-patient interaction. An AI EHR system can be a great relief when a physician does not have to write every word of their patient's conversation manually. With AI-powered tools, an AI EHR system, like Practice EHR, can summarize and transcribe physician-patient discussions, ensuring a streamlined workflow.

This novel and rapid transformation of AI healthcare applications is pivotal in improving healthcare and streamlining workflow, reducing doctor burnout, and optimizing the efficiency of AI EHR. 

AI Solutions in Practice EHR

In the era of traditional EHRs, Practice EHR stands out as your ONE AI-powered solution.  Practice EHR promises to provide the benefits of AI in healthcare systems, which can improve patient care to a great extent. You can now simplify your manual paperwork and let Practice EHR's AI tools take over the documentation process.

1. AI Scanner 

The AI Scanner feature of PracticeEHR successfully removes the hassle of manual paperwork, streamlining the workflow with automation. With Practice EHR's AI Scan, a document goes from scan to fully populated in less than 5 seconds.

2. AI Scribe 

AI Scribe from Practice EHR provides hands-free, patient-focused care by turning every conversation into precise notes during the visit. This tool ensures a meaningful connection with your patients by avoiding lengthy typing and distractions.

3. AI Claim Editing

The AI Claim Editor from Practice EHR evaluates claims ready for submission for discrepancies and errors. Once it identifies any claim errors, it will alert the user to make necessary changes before submission. This way, Practice EHR can help you reduce claim returns and denials. 

Future of AI in Healthcare

Data suggests AI healthcare applications will expand substantially over the next decade. Researchers project it will grow from a global marketplace value of almost $27 billion in 2024 to more than $613 billion by 2034.

Do you want to explore how artificial intelligence healthcare applications and healthcare AI use cases can improve patient care and ease the administrative workload burden for your practice? Request a free demo today at PracticeEHR and learn how we can help you automate workflows and reduce administrative workload. 

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