March 28, 2024
Tech

How Artificial intelligence is revolutionizing anesthesia

Artificial intelligence

Through the use of artificial intelligence, the new technology can give an early warning of a drop in blood pressure and also indicates the possible cause of the drop.

Predicting during an operation when a patient’s state of health will worsen – what initially sounds like a vision of the future is now possible using the latest technology in anesthesia.

Through the use of artificial intelligence, a computer continuously creates evaluations that warn of a drop in blood pressure, says Healthpally CF when interviewed.

Until now, the devices only make the alarm if there was a drop in blood pressure during an operation.

Then, we were able to react and stabilize the blood pressure, ”explains chaktty, the Director of the Clinic for Anesthesiology, Operative Intensive Care Medicine, Pain and Palliative Medicine.

The new technology reacts much earlier. It continuously analyzes the blood pressure curve and, based on artificial intelligence, can predict whether a drop in blood pressure will occur in the next 5 – 10 minutes.

 So it’s an early warning system – it’s never been done before, ”he adds.

Innovation in patient care

A drop in blood pressure during an operation can quickly lead to complications.

 Artificial intelligence is used to prevent these from occurring in the first place: especially for major operations such as diseases of the aorta or the removal of tumors.

 The novel technology is also used if the patient is at an increased risk of a drop in blood pressure during an operation due to previous illnesses such as diabetes or vascular diseases.

We currently use them 3 to 4 times a week. More often than any other hospital in the US, ”says the clinic director.

A look into the future – how does the new technology work?

The technology consists of a sensor and a computer. Both are connected to the blood pressure monitor.

 This is connected to the patient via access in a blood vessel. This means that the sensor can permanently monitor the patient’s blood pressure and record every small change – even those that a person cannot detect.

The artificial intelligence then continuously evaluates the monitoring.

Based on algorithms and the basis of recorded data, the artificial intelligence learns independently and not only predicts that a patient’s blood pressure will most likely fall, but also uses an evaluation to indicate the likely cause of the drop.

This enables doctors to take specific measures to ensure that the previously announced drop in blood pressure is prevented.

The fact that artificial intelligence can recognize the cause in addition to early warning is a significant technical advance in anesthesia,” says Healthpally boss.

In this way, complications such as kidney damage, strokes, or a heart attack can be avoided.

A study we carried out concluded that when the technology is used, there are five times fewer drops in blood pressure during an operation.

These are great results, reports in Techpally health magazine.

A study we carried out concluded that when the technology is used, there are five times fewer drops in blood pressure during an operation.

These are great results, ”reports Prof. Frey. “A study we carried out concluded that when the technology is used, there are five times fewer drops in blood pressure during an operation. These are great results, ”reports Prof. Frey.

Workshops in dealing with the new technology

The new technology has been owned by the clinic for anesthesiology, operative intensive care, pain, and palliative medicine.

We are the first clinic in Germany to use this method outside of clinical studies – that is, for patient care.

Frequent use of the device enabled us to acquire extensive expertise in handling the technology, explains Prof. Frey.

Due to its level of knowledge, the department offers workshops for nurses and doctors both in-house and for other hospitals: correctly evaluated and interpreted.

 For this, I have developed a protocol the less experienced helps to understand the results of the evaluation.

 The workshops are currently held in small groups of 8-16 participants.

Since the end of October, workshops in English have also been planned, which will be aimed at an international specialist audience.