Some people may say that the medical equipment in Singapore is better (than in Indonesia), but I don’t believe it. We got the technology at the same time as Singapore and Malaysia; therefore, we cannot say that Indonesia’s medical equipment is obsolete
Depok, West Java (ANTARA) – Indonesian hospitals are equipped with the same state-of-the-art medical equipment used in overseas hospitals, according to the dean of the faculty of medicine at the University of Indonesia (UI), the Professor Ari Fahrial Syam.
The sophisticated medical equipment available to Indonesian hospitals would put Indonesian medical technology on a par with neighboring countries, such as Malaysia and Singapore, he said.
“Some people may say that the medical equipment in Singapore is better (than in Indonesia), but I don’t believe that. We got the technology at the same time as Singapore and Malaysia; therefore, we cannot say that Indonesia’s medical equipment is obsolete,” Syam pointed out during a press conference at the University Hospital of Indonesia (RSUI) here on Friday.
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He said three aspects should be considered when procuring new medical equipment and technology for Indonesian hospitals.
“When it comes to new medical technologies, the first aspect we have to consider is its safety, the second aspect is its simple application and the third aspect is our involvement in (technological) research,” he added.
According to Syam, several medical experts from Indonesia have been involved in medical technology research.
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Indonesia University Hospital has already received an FDR nanomachine, a new mobile digital X-ray machine equipped with artificial intelligence (AI) technology that has been developed through medical technology research, did he declare.
The use of artificial intelligence in medical equipment can improve the diagnosis of health conditions that can be substantiated by patient medical records, he added.
“The AI technology will improve doctors’ effort to determine the diagnosis. When the patient is scanned with the machine, it can quickly filter the existing data to determine the possible diagnosis. As an endoscopist, I often need to review medical books to back up my diagnosis, and this technology made it easier,” Syam explained.
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