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  • 3/27/2024

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Transcript
00:00 We started by looking at the challenges and directions for this sector at the moment.
00:07 As you know, when we look at the challenges in the healthcare sector at the moment,
00:13 we find that there is a huge digital transformation that happened in the last few years.
00:18 Medical data is available digitally in an increased form,
00:22 but these digital data have become enormous.
00:25 When doctors and nurses have a large amount of data to process,
00:30 the pressure is on them.
00:32 Doctors feel challenged and exhausted,
00:35 especially with the lack of work in the healthcare sector due to the pandemic.
00:39 So we find ourselves in a difficult situation in the healthcare sector at the moment,
00:43 where we have more data, but we have fewer workers to process it.
00:48 We have to improve efficiency and reduce costs.
00:51 This puts the health system under enormous pressure,
00:54 and we have to remember that there is a huge lack of healthcare providers
00:59 who can provide care to people in need.
01:02 There is also an increase in the number of elderly people in need of care.
01:07 The challenges are extremely complex at the moment.
01:11 You mentioned a number of challenges,
01:17 but what about the role that technology and innovation can play,
01:21 especially in facing these challenges?
01:24 Innovation is a crucial issue,
01:29 because it helps solve problems effectively and precisely.
01:32 Innovation gives us the opportunity to turn data into knowledge,
01:35 which enables us to improve the quality of care and reduce costs.
01:39 Innovation can also help us improve access to care,
01:43 through the use of technology such as artificial intelligence
01:46 to provide care remotely and improve the effectiveness of care.
01:49 This opportunity makes it possible to provide high-quality care
01:52 in a more effective way and with less costs.
01:55 How do you think digital transformation will happen in the healthcare sector?
02:01 Victoria Azaria, as you know, we are now in a digital transformation era,
02:08 where we have a huge amount of data, but a lack of vision.
02:11 So what doctors and nurses really need is to understand the meaning
02:15 that lies behind these data.
02:17 And this is the opportunity we have today,
02:19 which is to use innovation and digital transformation,
02:22 not only to provide more data to doctors and nurses,
02:25 but also to turn these data into meaning.
02:28 Let me give you an example.
02:30 If you have a data sheet that contains hundreds of years of data on the weather in Dubai,
02:34 that doesn't mean much by itself,
02:36 just like the symbol of sunlight or the symbol of the sun,
02:39 because there is a meaning behind those data.
02:41 And this is what we need in the healthcare sector.
02:44 So we need to turn these data into a meaning that can be understood
02:48 by patients and doctors.
02:50 You may have mentioned examples of the nature of the challenges,
02:55 but we also have the use of artificial intelligence technology,
02:59 and we are still in the early stages of developing this technology.
03:02 How do you assess the situation?
03:04 The ability to turn data into vision means that you contribute to the ease of care,
03:11 by providing the right information in the right way to the doctor or nurse,
03:14 to improve the quality of care and reduce its cost.
03:17 One of the most important points here is, for example,
03:20 when you use technology like artificial intelligence to reduce the burden on doctors,
03:24 you can also improve the access to care by providing care remotely.
03:29 We have a great example with EIC,
03:31 where doctors can provide care remotely from one area to another.
03:36 So technology not only helps improve the quality of care,
03:40 but it also increases access to it.
03:42 And this is what Philips focuses on.
03:45 You may have mentioned a number of things that artificial intelligence can contribute to,
03:50 but of course, with the development of this technology,
03:53 there are a number of challenges.
03:55 What are the most prominent challenges?
03:57 You are right.
04:01 We are at the beginning of a stage where there was a buzz about artificial intelligence
04:04 over its actual value.
04:06 But now we see some of the real benefits that it can provide.
04:10 I will give you an example.
04:12 When I was practicing medicine,
04:14 I was often focusing on the screen, the keyboard and the mouse,
04:17 while I was trying to talk to the patient,
04:19 and at the same time, documenting in the medical electronic record.
04:22 Today, at Philips, when you visit a patient,
04:24 you can simply talk to him and listen to his medical electronic record.
04:28 The doctor's words are recorded as notes in the medical record,
04:31 as well as the patient's responses.
04:33 This is an example of how artificial intelligence can facilitate
04:36 communication between the doctor, the nurse and the patient,
04:39 which reduces the need to focus on the keyboard and the mouse,
04:42 and it enables you to focus on the patient instead.
04:45 We are still in the beginning of 2024.
04:50 What do you think is waiting for the health care sector,
04:53 and what is Philips doing now?
05:00 Our plan for Philips in 2024 aims to continue using technology
05:04 to improve the problems we are facing,
05:07 to save more time for doctors,
05:09 and to ensure that we provide the right health care
05:12 in a way that makes the process easier
05:14 and reduces the interruptions in the process of work,
05:17 to make things easier, so that it is possible for the providers
05:20 to provide high quality care with a lower patient experience
05:23 and a better experience for doctors, and with the lowest possible cost.
05:27 The most important thing for us is to improve access to care.
05:30 So we are focusing on how technology in 2024
05:34 can improve access to care across the world.
05:39 "Access to care across the world."

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