The use of artificial intelligence in hospitals is now a reality. In Spain, 11% of healthcare professionals already use it, and another 42% plan to do so soon. Those who choose hospital communication systems agree that missing this opportunity is not an option.
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What is artificial intelligence in hospitals?
AI is a computational field that develops systems capable of performing tasks that require human intelligence (such as learning and recognition). Its use in hospitals helps improve both medical care and hospital management.
In recent years, we have seen how artificial intelligence is being incorporated into all areas of our lives. This new technology has found one of its most prolific application fields in the healthcare sector. In fact, its compound annual growth rate for the period 2023–2031 is projected to reach 53.4%, according to Insight Partners.
What are the benefits of implementing AI in hospitals
Positive impact of AI on disease diagnosis and treatment
According to Frost & Sullivan, using artificial intelligence in hospitals can improve healthcare delivery by 30–40%. Its implementation increases the efficiency of healthcare professionals while enhancing patient satisfaction and safety.
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Facilitates early disease diagnosis.
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Enables more accurate medical diagnoses.
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Optimizes image-based diagnostics.
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Helps personalize treatment.
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Supports constant patient monitoring.
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Enables telemedicine.
Reduces patient care costs
We’ve already seen that AI can optimize healthcare delivery. Best of all, besides improving quality, it also helps reduce costs. In particular, a Frost & Sullivan report estimates that it can cut expenses by up to 50%.
Artificial intelligence improves hospital management
One of the main effects of implementing AI in hospitals is that it significantly simplifies and streamlines administrative management thanks to process automation.
The use of AI in hospital settings also optimizes resource management (beds, operating rooms, staff, etc.). Management systems based on this technology enable more efficient resource allocation, saving both time and money.
AI reduces waiting times in emergency departments
One of the most pressing challenges in healthcare is speeding up waiting lists in emergency services. In this regard, AI proves to be an effective solution by optimizing care flow and hospital efficiency.
This acceleration of services is achieved through several key angles:
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Prioritization of the most severe cases.
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Automation of triage.
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Reading and classification of diagnostic tests.
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Reduction of bureaucracy.
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Automation of telemedicine.
Can AI help address the shortage of medical staff?
One of the most interesting applications of artificial intelligence in hospitals is its ability to mitigate the shortage of medical personnel. Indeed, this technology offers many ways to support professionals working in healthcare facilities:
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Automation of repetitive administrative tasks (e.g., appointment management) reduces the workload of healthcare staff.
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By streamlining triage, healthcare professionals can make faster and more accurate decisions, especially when overwhelmed by high workloads.
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Through patient monitoring and telemedicine, AI greatly improves remote care, reducing the need for hospital visits.
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AI provides strong support for diagnostics, as it can analyze large volumes of clinical data—helping medical professionals do more in less time.
Artificial intelligence in hospitals: success stories around the world
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Hospital Clínic de Barcelona (Spain): used AI to analyze data from COVID-19 patients to develop personalized therapies. It also managed to reduce waiting times by 25% thanks to chatbots.
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Hospital Italiano de Buenos Aires (Argentina): combined AI with AWS services to improve diagnostic accuracy, reducing project development times by 70%.
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Philips Healthcare (USA): uses AI in diagnostic imaging analysis to optimize early disease detection. It has reduced severe case rates by 35% and cardiac arrest rates by 18%.
Challenges of implementing artificial intelligence in hospitals
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Addressing financial investment: ensuring adequate investment in technological infrastructure and staff training.
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Complying with data protection regulations: since patient data is used to train AI algorithms, complementing this with blockchain implementation in healthcare helps reinforce medical record security.
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Ensuring cybersecurity: AI increases exposure to cyberattacks that could compromise sensitive medical data.
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Achieving interoperability: integrating AI with pre-existing systems can raise compatibility issues.
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Building patient trust: AI use may generate uncertainty or skepticism, so it’s crucial to demonstrate how AI-based decisions are validated and adopted safely.
Artificial intelligence technologies that are revolutionizing hospitals
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Image-based diagnosis: AI can analyze X-rays, MRIs, and CT scans to improve diagnostic accuracy and reduce patient examination time.
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Body movement detection: combined with nano-motion sensors, AI monitors patients in real time, allowing detection of events such as falls.
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Smart rooms: a key component of Hospital 4.0. One of the main AI applications in these rooms is the use of radars to analyze vital signs and patient movements without physical contact.
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Virtual assistants: AI-based chatbots can help with tasks such as chronic patient monitoring, telemedicine, and alerting staff about anomalies in vital signs. Their implementation reduces hospitalizations by up to 25%.
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Prediction and data analysis: AI algorithms can predict relapses in diseases such as cancer and estimate a patient’s survival rate after undergoing a transplant.
The use of artificial intelligence in hospitals offers clear advantages—provided it is implemented correctly. At Advantecnia, we stand out for our optimal use of this technology, as demonstrated by our advanced real-time patient monitoring system. Contact us to learn more.
