The search for a more humanized, agile, and efficient hospital care made the increase in the demand for customized software widely noticed in the health sector. The pandemic only accelerated the process as it tested the ability of hospitals to meet an unexpected direction. And artificial intelligence is in the industry’s crosshairs.
So how can AI be used to improve hospital care? This is what we will see in this article, which will address:
- applications of artificial intelligence in-hospital care;
- what benefits to expect from the use of AI in the hospital environment; and
- What is the ethical impact of the use of data for health?
Table of Contents
Applications Of Artificial Intelligence In-Hospital Care
AI in hospital care aims to significantly improve on several fronts, from the health supply chain to treatment. The idea is for technology to be a strategic key that supports decision-making and brings meaningful answers from the data generated.
As a result, applying technology can improve the patient care experience and drive operational efficiency. The following are some use cases.
Accurate And Rapid Identification Of Pathologies
The traditional model of pathological identification involves several mechanical tasks. To find cancer cells, for example, the professional must remove the tissue, manually place it on a slide and analyze the images promoted by the microscope.
This process is subject to human error since many analyzes are performed. This is where computer vision helps the doctor. Unlike man, technology does not fatigue, being able to perform infinite observations from a tumor image bank, facilitating human work and allowing a faster treatment to be proposed. The exact mechanism can diagnose Covid-19 cases and speed up the virus identification process.
One of the most common ways to use AI in healthcare is to identify patterns in radiological images and verify the presence of cancer cells. It is also possible to use this technique to find recurrent events in a particular region and age group, allowing research to be carried out to promote disease prevention.
In this way, AI promises to ease the burden of repetitive tasks and free clinicians to think about more effective and targeted treatments.
More Efficient Healthcare Supply Chain
AI is transforming supply chain management in healthcare. This is because technology allows deliberations to be based on data. More than data, in the integration of internal and external information. In practice, this means being able to control stocks in real-time, avoiding the lack of supplies, which directly impairs patient care.
In addition, the relationship with suppliers is also optimized. Through machine learning, it is possible to monitor supplier prices, set up alerts for stock replenishment, and even give advance notice of the following payment date. Applying this tool strengthens ties with suppliers, as it ensures more transparency and predictability for purchasing processes.
All this contributes to a more active and preventive supply chain management, avoiding waste and losses. Most importantly, it promotes speed and quality care for patients, who will be positively impacted by the agility provided.
The speed with which AI can process the chemistry of various drugs, and relate it to known elements, allows the search for new solutions infinitely faster.
For AI to help professionals find promising formulas and combinations, a complete digital database must be put together. However, such information is still found in unstructured sources, such as journals, scientific articles, and physical reports.
The solution is to initiate models that insert end-to-end digitization processes to create a reliable foundation to reach the level of maturity required by the technology.
Benefits: What To Expect From The Use Of Artificial Intelligence In The Hospital Environment
The benefits brought by AI and its ramifications are extensive. Technology promises to be an ally for human beings to offer treatments, care, and quick responses to patients, moving increasingly towards preventive medicine.
With this, AI makes medicine much closer, as the aim is not to replace the analytical capacity of medical teams but to use technology as a support to provide quality care to people.
Combining the ability to process immense amounts of machine data with creative human expertise will be fundamental for medicine to find cures, more promising treatments, and preventive diagnosis for society.
The future promises many success stories in health with the use of technology, which is moving towards a model of preventive care, fast and focused on people’s well-being. More than ever, the individual is at the heart of digital transformation, and this is particularly true when it comes to the healthcare industry. Thus, it is clear that the global society is focusing on solutions to improve people’s quality of life, and technology enters as a powerful ally in this search.