Artificial intelligence (AI), entering one of the most essential sectors – medicine and healthcare institutions – is significantly transforming today’s possibilities and changing doctors’ workflows. This is not only beneficial and convenient for the staff working in such institutions, but also highly meaningful for patients, who experience a greatly improved service.

Patient Discharge Procedures Face Challenges

Discharging a patient from a hospital is not always a simple and smooth process. Depending on the complaints, diseases, or injuries, each case is different. There may be a significant amount of paperwork to complete, instructions for follow-up treatment, information about required visits, prescribed medications, and detailed usage guidelines. This process can create confusion and chaos – something AI is well-equipped to resolve.

On the other hand, from the doctor’s perspective, the discharge process is complex and highly responsible, as they must make the final decision. This decision must be well-founded and should not increase the risk of readmission.

The process is further complicated by the fact that today’s healthcare systems and institutions are often overcrowded, with medical staff facing heavy workloads, and coordination of work becoming difficult – which sometimes results in patients not receiving complete or clear information.

AI is Changing the Way Healthcare Institutions Operate

AI gives doctors the ability to access patient information in real-time, allowing them to prepare high-quality discharge plans. Moreover, it enables a more personalized approach to this process.

Additionally, AI opens possibilities for post-discharge patient support. AI assistants can help patients throughout their recovery journey by answering common questions – whether related to treatment procedures or medication usage.

Another important area where AI supports healthcare experts is in risk assessment. AI tools help identify which patients are in higher-risk groups and may require more intensive monitoring due to potential complications.

AI gains this advantage by analysing vast amounts of data – such as patient medical histories, lab results, treatment plans, and more – and summarizing insights for doctors, including alerts about patients who need closer observation. It is estimated that such tools can identify high-risk patients with up to 90% accuracy.

The Benefits AI Brings to the Healthcare System

AI-driven solutions improve the performance of these institutions by enabling:

• Better decision-making. Real-time data allows for the personalization of discharge planning.
• Work automation. AI assistants perform additional tasks for healthcare professionals, helping patients during their treatment by not only providing instructions or answering questions, but also sending text reminders about medication times.
• System integration. AI-based platforms can automatically update treatment plans, log discharge times, and ensure consistent information is available to all doctors.

As we can see, AI is bringing promising changes to the market. However, unresolved issues remain – such as access to complete medical histories, and ethical concerns regarding sensitive data usage.

Final thoughts

AI is paving the way for innovative solutions in healthcare, allowing providers to offer the highest possible service quality. In the future, we can expect more this type institutions to adopt these solutions, and we will likely see AI breakthroughs in other areas of the sector as well.

If you are interested in this topic, we suggest you check our articles:

• AI in Healthcare: 8 Use Cases Making a Positive Impact
• Next-Gen AI Doctors: Movano’s Smart Ring Lets You Talk to AI Chatbot EvieAI
• Microsoft Dragon Copilot: A Step Towards a Modern Healthcare System
• The Role of AI in Maternal Healthcare

Sources: Forbes, TechTarget