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0:08 Brail TV. 0:16 Bismillahirrahmanirrahim. Peace be upon 0:19 you, brothers and sisters, may Allah 0:22 have mercy on us all. We are back in 0:25 your space with HR Talk, which 0:28 hopefully will persuade us all, 0:31 especially with today's discussion. And 0:35 unfortunately, Mr. Krishna couldn't 0:37 attend because he had something to do. 0:40 But okay, this time the Hijrah Talk 0:43 theme is building a health ecosystem 0:47 for the people in the digital era. 0:50 Synergy, technology, values, and our 0:54 concern for sustainable health. We have 0:59 two speakers. The first is Mr. 1:02 Wiviksana Suhendro. He is the director 1:06 of PT Smartp Technologies. And the 1:10 other one, as usual, is Mr. M. Alhusin, 1:14 BNSP, Master Trainer from Warton 1:18 Business Analy. Let's greet them both 1:21 who are ready for us. Peace be upon you 1:29 . 1:29 May you all be healthy. Okay, speaking 1:34 of which, amidst this incredibly rapid 1:38 technological development, how is the 1:43 health ecosystem of Muslims in 1:46 Indonesia viewed and assessed? Has our 1:51 society truly felt the benefits of 1:54 digital transformation in the health 1:58 sector? Or is it, on the contrary, 2:01 facing many gaps in access and 2:04 registration? Go ahead. 2:11 Bismillahirrahmanirrahim. Peace be upon 2:12 you, peace be upon you, and peace be 2:14 upon you, and 2:14 peace be upon you, who are blessed by 2:17 Allah and all our listeners. Amen. May 2:21 you be in good health and may all your 2:23 affairs be blessed. Amen. Amen. 2:28 We are raising a rather unique theme, 2:32 and it is based on my own experience. 2:36 Hehe. 2:38 Building a health ecosystem for the 2:39 Muslim community in the digital era, 2:41 huh? Hey, friends of Radio Silaturahim, 2:44 blessed by Allah subhanahu wa ta'ala. 2:46 Today I will begin with an experience I 2:51 had. Some time ago, I went to the 2:54 hospital for treatment. Maybe because I 2:58 was using PPJS (Social Security 3:00 Provider) and had prepared myself in my 3:02 kite, maybe the queue was long, maybe 3:04 the service took a long time, maybe the 3:07 administration was complicated because 3:09 of such standards. But it turned out 3:12 that what I experienced was the 3:14 opposite. I was really disappointed. 3:15 The service was fast, the flow was 3:17 clear, the tasks were like that, the 3:19 doctors were also fast, the atmosphere 3:21 was orderly. It was more like a premium 3:24 service, huh? Why did I take the 3:26 hospital as the case? This is a lesson 3:31 for us, huh. Is this really a BPJ 3:35 hospital like that? 3:36 Because my experience, huh, this is 3:39 more like a premium hospital, huh, what 3:43 I found in a premium hospital. Then 3:47 this question arose, why is it like 3:49 this? What is the secret of this 3:51 hospital being like this? Is the 3:53 building better? Are there more doctors 3:55 ? Is this hospital richer, or what is 3:59 it like? I started to find out. 4:01 I asked several people. I wanted to 4:05 know what really goes on behind the 4:07 scenes in this hospital service that 4:11 makes it so good. And it turns out I 4:14 discovered something very interesting, 4:16 huh, that behind the fast, comfortable 4:19 service, making patients feel 4:21 appreciated, there is a way of thinking 4:24 , a system, a philosophy that these 4:27 people have diligently built for months 4:29 , huh. Well, the figure who plays this 4:33 role, huh, I invite Mr. Wivik there 4:35 today. Mr. Wifik, I don't want to 4:39 invite these listeners to discuss 4:42 software or complicated technology. 4:45 Hehe. 4:47 What I'm going to reveal today is why 4:50 some hospitals or businesses are able 4:53 to make their customers feel 4:55 comfortable. Doctors are focused, 4:58 management is able to make decisions 5:00 easily, and organizations grow 5:02 healthier. So, this technology is a way 5:06 to provide better service. Can this 5:10 artificial intelligence, which we, 5:13 perhaps some of you listeners, have 5:15 used, replace doctors or humans or 5:18 replace our employees? Can this system 5:23 save people? Yeah. That's more 5:26 interesting. Well, the case study is a 5:29 hospital, and after I investigated, 5:32 there was someone who was instrumental 5:35 in it. Later, we'll reveal how he 5:38 transformed a system that was quite 5:41 profitable, quite challenging, into one 5:44 that became premium. Something that was 5:48 previously complicated, the service was 5:51 quite challenging, there were queues, 5:55 and maybe even lives were lost because 5:58 the service was slow and so on, has 6:02 become a premium service, a good one, 6:05 and I even heard that profits have 6:08 increased up to fivefold. So, what 6:14 principles can we take from this 6:17 hospital case? Well, maybe in our 6:19 business, in schools, in Islamic 6:21 boarding schools, in other places, even 6:24 in our daily lives. So, for the next 6:27 hour or so, we will not only discuss 6:29 technology, but we will discuss how to 6:32 think, how to build systems, how to 6:35 solve problems, and how to create 6:37 solutions that are more productive, 6:40 happier, and easier. Like that. Ah, I 6:43 see. So, let 6:47 me discuss a little bit about what 6:49 actually happens behind the scenes. Why 6:52 does one business feel different in 6:54 service? What does the customer feel? 6:57 Why, for example, in a hospital, BPJS 7:00 services feel like premium services, no 7:02 need to queue, the system is already in 7:05 place, and so on. What is the service 7:09 philosophy, what is the organizational 7:11 culture like? What is the working 7:13 system and role of AI? How does this 7:17 artificial intelligence change almost 7:19 all sectors of our lives, simplifying 7:22 effectiveness. I work, which should 7:25 take 1 hour, but one duen can produce 7 7:28 to 10 documents with the help of AI. 7:32 Hehe. 7:33 So, how can this technology humanize 7:38 humans? If the Javanese say wongke uong 7:42 ya ee manuning, I may not be Javanese, 7:45 but that's the 7:46 term, ee wong e wongke wong ya manuning 7:50 . 7:50 Yes, humanizing people will be 7:51 corrected later. Well, humanizing 7:54 people. This AI or artificial 7:57 intelligence does not replace doctors, 8:01 does not replace employees, but EAI 8:04 helps reduce administrative work. This 8:08 data helps us make decisions, reduces 8:11 complexity. What can we learn as 8:15 entrepreneurs, as what are they called? 8:18 For example, some business units are 8:19 schools, some business units are 8:21 Islamic boarding schools. What can 8:24 MSMEs learn, how AI can help 8:27 organizations grow, and this is a 8:30 real-life 8:32 case 8:33 of a hospital organization that 8:35 increased profits fivefold with the 8:38 help of AI. Well, he is the architect 8:42 behind that success. We'll discuss that 8:45 later. Then we also want to discuss the 8:48 wisdom of his life, the teachings 8:51 taught in service by the Prophet 8:53 Muhammad (peace and blessings be upon 8:56 him). For example, trustworthiness 8:58 is a professional icon, serving is an 9:01 act of worship. How a good system is 9:04 actually our jariah (inheritance). For 9:07 example, we create a system that helps 9:10 people work faster. Well, the reward 9:12 flows as long as the system is used. 9:14 How do we build something that 9:16 continuously produces goodness for us? 9:20 Jariah is not just money, just goods, 9:23 but a system. But a method, a way, 9:28 anything that can make goodness flow 9:33 continuously within us. And EAI is one 9:36 of the easiest and fastest ways for us 9:39 to create that method. Like that. So ee 9:42 maybe later ee after this we will 9:45 discuss in more detail how the best 9:48 service 9:49 doesn't have to cost a lot of money. 9:52 What's important is that we have good 9:54 intentions, the right system, and the 9:56 people who work properly. So ee let's 9:58 continue ee this is Mr. Wivik Sana 10:02 Suhendra, Director of ee Smarth Hub 10:05 Teknologi. 10:06 Please, Mr. Wivik ee with your story, 10:11 yes, how is this helped by a genie, 10:15 maybe changing an organization that 10:20 already has ee many challenges so that 10:23 it becomes professional like that. Well 10:25 , this is interesting in my opinion. 10:27 just yes. We learned a lot. Please, Mr. 10:31 Wifik. 10:33 Okay. Assalamualaikum warahmatullahi 10:35 taala wabarakatuh. 10:36 Waalaikumsalam warahmatullahi wabah. 10:38 Mr. Nuning, Mas Habib, and all Rasil 10:41 radio listeners throughout Indonesia. 10:45 Nice to meet you, I'm Wifik. I work in 10:48 the IT field. Our company does focus on 10:53 the world of health, yes. Earlier, Mas 10:57 Habib's story was quite good, it seemed 10:59 as if we were really great when in fact 11:01 we were just ordinary. So, I'm talking 11:06 about my experience and supporting my 11:09 friends at the hospital, hopefully, we 11:13 will receive blessings and rewards from 11:16 Allah Subhanahu wa ta'ala. Because our 11:19 foundation is the saying of the Prophet 11:22 Muhammad (peace and blessings be upon 11:24 him), "Whoever relieves a believer of 11:27 one hardship in this world, Allah will 11:29 relieve one of his hardships on the Day 11:32 of Resurrection." If we know, that 11:36 person has 1,000 problems, Mas Habib 11:39 Manuning. But those 1,000 problems 11:41 disappear when he suddenly gets sick. 11:44 If he's sick, his problem becomes one. 11:47 How can he be healthy, nothing else? 11:50 Well, that means if we come to the 11:52 hospital, it's bound to be full of 11:54 people with problems, right? Well, as 11:57 IT people, let's try to build and help 12:01 them because it turns out that 80%of 12:05 the hospital, according to the data we 12:08 have, are BPJS patients. So, 80%are 12:13 BPJS patients and more than 50%of the 12:16 patients who come are repeat patients. 12:18 So if there are few new patients, 12:20 that's actually the data. Well, 12:23 regarding our experience in Cilengsi, 12:27 when we came there, thank God, we were 12:31 accepted and selected in 2019, right 12:35 before COVID. Heh, 12:37 before COVID, and we saw the people who 12:40 wanted treatment, just imagine, they 12:43 came at 00:00 in the morning, Mas Habib 12:46 Bandung, at 00:00 in the morning, at 12:49 00:00. They were just served. But they 12:51 were queuing with that. They were 12:54 queuing with bottles, sandals, 12:57 and jackets. At that time, they were 13:01 wearing jackets, and finally, someone 13:03 asked security to do it, all sorts of 13:05 things. And those who came, imagine, 13:08 our brothers and sisters who were far 13:11 away, or villages, right? And they 13:13 hoped to be healthy, but before they 13:16 could get health care, they had to wait 13:18 in such long queues, right? Well, that 13:21 was incredibly dramatic, right? In the 13:25 21st century, it turns out that's still 13:29 the case in Indonesia. Well, at that 13:32 time, we slowly came, we started to 13:34 improve the infrastructure. We're using 13:37 a bit of technical language, but the 13:39 infrastructure is quite global. 13:40 Okay. 13:41 There's a network, there's a server, 13:43 there's a vision. Well, when we arrived 13:46 , the conditions were quite challenging 13:49 because there wasn't a very interesting 13:52 infrastructure architecture at that 13:54 time. So, gradually, Mas Habib, I 13:58 slowly built the fiber optic because, 14:01 inevitably, the data was growing, 14:03 because the hospital was horizontal, so 14:06 it wasn't a building that went up, but 14:08 it was indeed spacious. So we built 12 14:12 fiber optic segments, then slowly we 14:14 built a good server, we built a good 14:17 network, we built good monitoring so 14:20 that if there was a problem, like the 14:23 PC going down, the server going down, 14:26 or something, we could see it remotely. 14:31 Well, after that, we installed it. So, 14:34 we are indeed a SIM RS vendor, called 14:37 Smart RS. Because our company is called 14:41 Smart Hub, so we have a Smart product, 14:43 you know. This means we want it to work 14:45 smart, Mas Abi. What I mean is, how can 14:48 we make EE work, both for the community 14:51 as patients and doctors as health care 14:54 providers. Then there are also the 14:58 nurses, not to mention our friends at 15:01 other hospitals who support them. 15:04 Because the basic idea is that whoever 15:06 helps a brother or sister in this world 15:08 , Allah will help them in the afterlife 15:10 . So, we try to help, we work 15:13 wholeheartedly. Finally, after we 15:17 installed the application, we trained 15:20 all the friends at the hospital. We 15:23 trained them on how to use the system 15:25 from the moment the patient arrives, 15:27 then the patient is finally admitted, 15:30 and checked whether their BPJS 15:32 eligibility is checked. After that, the 15:34 patient is served. After the patient is 15:37 served, we will give them medication. 15:38 If they need to go to the lab or 15:41 radiology, that's fine. If not, they go 15:43 straight to the cashier and then it's 15:45 free because they use BPJS. They go 15:47 home with their health information, 15:50 they go home with peace of mind. Well, 15:53 the first thing we tidied up at that 15:55 time was registration. So when patients 15:58 arrived, they no longer had to queue 16:01 with jackets, queue with bottles, queue 16:04 with sandals. So they just came in 16:07 wearing them because back then, before 16:10 MJKn, we already had online 16:13 registration. So at that time, people 16:16 came after registering at home at the 16:20 hospital, just showed the QR code on 16:23 their cellphone, then they were allowed 16:27 in. The question is, what if our 16:29 elderly parents don't have cellphones 16:33 and all that, usually 16:35 we also brief them in front, there's 16:37 security who also helps, something like 16:40 that, Mas Habib. So that's the 16:42 beginning of the story that we built, 16:44 but of course behind that, there are 16:47 many exciting stories, meaning the 16:49 initial implementation wasn't easy 16:52 either. Then making or customizing the 16:56 application wasn't easy either. Then 17:00 connecting to BPJS wasn't easy either. 17:02 But the most important thing now is 17:06 technology, we talked about 17:09 digitalization. Can the digital 17:13 ecosystem improve public health? Can it 17:18 make healthcare more enjoyable? He. 17:21 Can it improve people's quality of life 17:25 with a digital ecosystem? I think so, 17:29 because the government has also done 17:32 many things, including the current 17:35 government with BPJS. So with BPJS, all 17:38 Indonesians finally have the same 17:40 opportunity for medical treatment, 17:43 right? Then the government also wants 17:46 that when Mr. Habib, for example, Ms. 17:48 Nuning, comes to hospital A 17:51 for radiology and then suddenly has to 17:54 move to hospital B, they don't have to 17:56 do the same radiology. That's why they 17:58 use a cloud called Satu Sehat. Well, 18:01 Satu Sehat collects data from hospital 18:03 A and can be retrieved from hospital B. 18:05 Well, that's the government's 18:06 responsibility too. Well, all of that 18:08 is impossible without technology 18:10 because it definitely requires an 18:12 internet connection. A stable internet 18:14 connection, right? A fast enough 18:16 internet connection. Well, behind all 18:20 of that, we think there's a backbone, a 18:24 good enough skeleton, namely the system 18:27 . So, that's why in this case, as an ee 18:30 company that supports health in the 18:33 healthcare world, we no longer sell the 18:36 Mas Habib application. We sell the 18:38 health ecosystem by smartub. So we sell 18:43 a kind of full ee system, starting from 18:45 the infrastructure, the steering of the 18:48 infrastructure, there's the application 18:50 , then the application has people who 18:52 carry out the process to accompany 18:54 friends in the hospital. Then there's 18:57 also an internet network and 18:59 connections to the government, both to 19:01 BPJS and Satu Sehat. Well, it's quite 19:05 easy to describe in words, but it's 19:08 difficult to implement. But for us, the 19:12 most enjoyable thing is when we see 19:17 people flocking to the hospital for 19:21 treatment happily, easily. They 19:25 register easily, they are served easily 19:28 , and then they go home healthy. That's 19:30 the most important thing. Sometimes, 19:32 when people go to the hospital, they 19:34 don't want to queue. 19:36 Then, when they're finished, the queue 19:37 for medication takes a long time. So, 19:39 when they get sicker, they're already 19:41 sick before they come, and then they go 19:44 home even sicker. Well, that's what 19:47 happens sometimes, uh, that's the 19:50 picture in Indonesia, mostly. Well, 19:53 that's what's a bit difficult. That's 19:55 why 19:56 I often discuss with several directors 19:59 at the hospital, uh, there was one last 20:01 director who I think was extraordinary. 20:04 He said that, uh, this hospital is a 20:08 government hospital, 80%of which is 20:11 BPJS. So, we consider BPJS patients as 20:15 VVP patients. Wow. So, 20:18 there's no longer that distortion that 20:21 BPJS patients are middle-class or 20:24 lower-class, the lower classes, which 20:27 ultimately might lead to some places 20:30 that aren't as good. BPJS patients are 20:34 ranked third or fourth. Well, that's 20:36 not the case. BPJS patients are VIP 20:39 patients, because they are the ones who 20:40 are truly prepared. Regional General 20:44 Hospitals are prepared to serve the 20:47 public. The rich can go to larger 20:49 hospitals. But if they are, but they 20:53 are served comfortably and treated like 20:56 VIPs with a heart, with a smile, then 21:00 word of mouth eventually makes the 21:03 hospital quiet. When we arrived, the 21:07 income was around Rp billion per month, 21:09 which was small. After five years there 21:12 , the income increased to Rp 16 to Rp 21:14 18 billion per month. This means that 21:16 the number of outpatients and 21:18 inpatients increased exponentially. It 21:22 must be because people experienced 21:24 real-life experiences. Real-life 21:26 experiences come, then they register, 21:29 then they meet a doctor, and they are 21:32 served like that. It's a simple cycle. 21:35 There's nothing difficult. Well, in the 21:38 past, for example, with the problem of 21:40 rooms, sometimes inpatient rooms, there 21:41 would be a game of quotation marks, 21:43 right? 21:44 Oh, 21:44 there's a room like that? Oh, there 21:46 isn't. You know, if there's someone 21:47 inside, there's that, right? 21:49 Well, that happens often. Well, now 21:52 we've prepared a dashboard there. We 21:55 can see, for example, there are 10 ward 21:59 names, and there's a volume. For 22:02 example, it actually has a capacity of 22:05 20 wards per room. We tell them that 22:08 there are five empty rooms, or room X 22:12 has 10 empty. So, the public can also 22:15 see it transparently. So, oh okay, 22:17 that's what they say. This hospital is 22:19 really good, transparent, and doesn't 22:23 discriminate between others. But all of 22:26 that can be done with a supporting 22:29 system. That's why I call this Smarth 22:32 Hub ecosystem, God willing, we're 22:34 trying to help our friends in hospitals 22:37 who have management, who really need 22:40 partners. So we don't feel that we're 22:42 the best, we are partners. Let's build 22:45 the regional general hospital that 22:47 you're currently managing, which has 22:49 been entrusted to you. We can also do 22:52 the same later. You're first gear, 22:54 we're first gear, you're fifth gear, 22:55 we're fifth gear, like that. So, but 22:57 the end result is to make the community 23:00 , especially Muslims, have a guaranteed 23:04 quality of life, easy health services, 23:07 not complicated, fair, and served as 23:10 well as possible, Mr. Habib. Maybe 23:13 that's all from me for now. Later, 23:18 please go to Oh, 23:18 okay, a little bit, before I get to 23:21 Mbuning, I'll say a little bit, this is 23:23 actually interesting. Coincidentally, 23:25 my wife is also in the health sector, a 23:28 doctor. I said to my wife, "Don't pray 23:31 that, O Allah, increase my sustenance 23:34 from work." You know, when sustenance 23:36 is abundant, what does being a doctor 23:37 mean? There are more and more sick 23:39 people, right, Sir? 23:42 So, this is actually a joke, a joke, 23:45 but it's a phenomenon in our country. 23:49 How sick people are truly helpless. 23:54 Especially for the lower middle class, 23:56 if they say there are no rooms, what 23:58 are we supposed to say there are no 24:00 rooms? Well, we don't know how to check 24:02 whether the room is available or not, 24:04 and so on. And actually, we're pushing 24:08 for premium treatment for BPJS patients 24:12 because we pay taxes. It's not that we 24:16 don't pay, it's not free, but we pay 24:18 through all our taxes. So, I think we 24:21 should replicate this treatment in 24:24 other places, and I see that it's 24:26 starting to happen a lot. Well, I'm 24:29 actually interested in this, Mr. Wifik, 24:32 how do we create a service that's 24:34 different from others. There are 24:37 probably a lot of similar vendors, Mr. 24:41 Wik. How do we get our products chosen? 24:43 What do you think, uh, what's the name? 24:47 What's the key? For example, there are 24:49 listeners who have product A, product B 24:51 , and the easiest example is this. Do 24:54 you know Condet? Do you know Condet, 24:56 sir? 24:56 You know. 24:57 Well, all the perfumes along the street 25:02 are all Middle Eastern products. How 25:06 can customers choose them when they're 25:09 all exactly the same? Well, this is 25:12 what I'm asking you, how can you be 25:15 chosen when there are so many similar 25:18 products? Well, that's it. Well, this 25:21 is also a lesson for us, whether it's 25:24 sincerity, honesty, or whatever that we 25:28 can apply to our business, to our 25:32 efforts. Maybe you can share a little, 25:34 Mr. Wifik. 25:35 Okay. Okay, Mr. Habib. If this is 25:38 specifically an experience from when we 25:40 were in Chilisi. At that time, we were 25:43 in a competition. The competition means 25:46 we presented, then finally they chose, 25:49 and as far as I know, we were the fifth 25:51 participant. The fifth participant, 25:55 where we only got 1 hour to present. 25:57 But God knows, after finishing the 26:00 presentation, people liked us. I don't 26:03 know why, but maybe, I mean, because in 26:05 the world of marketing, there's 26:06 something called personal branding, Mr. 26:08 Habib. So we said that we have good 26:12 intentions, we're not just purely for 26:17 business. We've helped our friends here 26:21 , whatever they want. I mean, I always 26:24 say in my presentation that I'm my team 26:27 , our team, uh, will work together with 26:30 your team there, right? For example, 26:34 one hospital team that I once had was 26:36 in the PCT, and I also had an IT team. 26:39 So, I told them that our team blends 26:42 with theirs. So, we won't differentiate 26:44 between their team and ours because we 26:47 want to work together to build this 26:48 hospital. Right? We grow together, we 26:52 work together, I don't lock anything, I 26:54 don't lock the database, I don't lock 26:57 the password, whatever knowledge we 26:59 have we share with our friends there, 27:01 our hope is that when our contract ends 27:04 , they will want to come back, eh, they 27:07 can or can continue what's there, right 27:09 ? Then at that time, eh, Dr. Wiwi, if 27:12 I'm not mistaken, was the director, she 27:15 said, "Mr. Wifik, I chose you because 27:17 we want to work together." Yes, she 27:19 said that. You help us. Okay. Okay, Doc 27:22 . I said that, right. So, eh, I 27:24 prioritize goodwill, you know. Good 27:28 intentions and eh, openness, right? We 27:32 have nothing to hide. Then, we really 27:35 try, my teammates try to give their 27:39 best. For example, in a hospital, there 27:41 are definitely improvements and 27:43 customizations. Some vendors have 27:45 limited customizations, some major, 27:49 some minor. Since we've been working 27:51 together for five years, I said I don't 27:53 limit anything. What do you want to add 27:57 for patient comfort? What features do 28:00 you want to add for the doctors ' 28:02 comfort? What features do you want to 28:03 add for the comfort of other colleagues 28:05 ? Let me be open, Habib. There's 28:09 nothing I'm telling you. So throughout 28:11 our collaboration, we've made hundreds 28:14 of improvements, adaptations to the 28:17 system. So, uh, maybe the basic 28:21 intention was good; we really wanted to 28:24 help, and when we helped, we showed 28:27 sincerity. No, no, no, it's not fake. I 28:33 really taught my team to serve with 28:36 heart. Whatever they ask, we give it. 28:40 Even if a conflict arises, we resolve 28:44 it immediately. But what's clear is 28:48 that the main goal is, uh, how are the 28:50 patients, the doctors, the healthcare 28:53 workers happy with our system, and that 28:55 patients come with a smile, or less 28:58 with a smile, something like that. But 29:00 it's not making things difficult, Mr. 29:03 Habib. 29:06 Ready. Go ahead, Ms. Nuning. 29:09 Yes. So, serving with heart is really 29:12 cool, isn't it? Hey, Mr. Wifik, for 29:16 example, in the digital era like today, 29:21 how about our health data? We feel safe 29:25 so much that we also trust using this 29:30 digital service. 29:34 How can we be sure? Okay, Ms. Nunding, 29:38 because it is regulated by law. And 29:41 when we are a hospital ee vendor, we 29:46 also have a kind of NBA for hospitals. 29:50 We will not reveal patient ee secrets 29:53 to anyone. Second, for security, we 29:57 have a medical report registration, yes 30:00 , electronic medical reports we call 30:03 IMR, according to ee there is a 30:06 ministerial decree. Well, our 30:11 application is also registered with the 30:12 Ministry of Communication and 30:13 Information. Formerly Kominfo, now 30:15 Komigi, Kominfo. 30:17 We have TDPSE, the electronic system 30:20 organizer. So, we are also what, we are 30:24 registered or tested to see how good 30:28 the security system is. After that, we 30:32 are also tested again by the Ministry 30:36 of Health. After that, we were also 30:38 tested by BPJS (Social Security Agency) 30:40 , called UIT. So, we underwent multiple 30:43 layers of tests to be able to serve the 30:48 health of the Indonesian people. 30:51 Therefore, God willing, the data is 30:57 safe, and BPJS also 31:00 carries out all the screening when 31:05 paying claims for existing claims from 31:10 hospitals. So, all the SOPs that are 31:14 carried out, then all the patient data 31:17 is checked by BPJS, only then can BPJS 31:20 pay properly, and so on, Ms. Nuning. So 31:23 , God willing, 31:25 our data, although in the IT world, 31:27 there is no absolute security. eh Mas 31:30 Habib knows better because he is a 31:32 master there. But at least all efforts 31:35 and every effort have been made from 31:38 each of these, whether from our vendors 31:41 , we do ee what locks or create a 31:43 security system that is strong enough 31:46 in applications and databases. Then 31:49 there are also firewalls and friends in 31:50 the network. Well, on the government 31:52 side, we also implement regulations, 31:54 whether it's in the Ministry of 31:55 Communication and Information, DPJS, 31:57 SAT Sehat, right? Everyone does that, 31:59 so it's more or less layered, Ms. 32:02 Nuning. 32:03 Yes. For example, we get a lot of 32:07 information from social media, so to be 32:11 able to compare or distinguish whether 32:14 this is true or not, is there a certain 32:18 benchmark that we need to hold tightly. 32:23 Uh, may I repeat, it's a bit unclear. 32:26 So from social media, we easily get 32:30 information about this and that related 32:36 to health. How do we ensure that the 32:41 information we get is true or not? Are 32:46 there 32:47 certain tricks to make 32:49 us sure that oh, this is true? Yes. Uh, 32:55 later Mas Hi will also help with the 32:57 answer, it's quite interesting because 32:59 if for example, the question is like we 33:02 see now, what we most often do is 33:03 scrolling through TikTok, right? 33:05 Scrolling through TikTok, 33:08 information flows so fast, right? 33:11 Everything is sometimes fake, there are 33:14 uh, or AI-generated videos, right? uh, 33:18 especially about uh, health information 33:22 . For example, this medicine is better 33:24 than this medicine or the health 33:26 process here is much better, right? 33:29 That's how to see what's true or false. 33:34 It's a bit exciting, isn't it, Mas 33:37 Habib? Because usually, personally, I 33:41 don't really believe news that goes 33:45 viral too quickly. Because usually, 33:48 that's because my friends who are 33:50 playing content usually really like 33:53 making something viral so that the 33:55 content goes viral and FP is everywhere 33:57 , right? He. 33:59 Ee but if we really want to find out, 34:02 maybe now, because eh, it's the era of 34:05 AI, right? 34:06 We can check with AI. For example, we 34:09 find out, oh, this is the problem A B C 34:11 D, we check with AI, we say this, try 34:14 to find out the truth, is this a hoax 34:16 or not, right? Well, at least AI will 34:19 give suggestions, right? It will give 34:23 some views that this data doesn't exist 34:25 , this data doesn't exist, or in this 34:27 data doesn't exist, Mbak Nuni. If I 34:29 cross-check 34:30 again, it goes to AI. 34:33 Okay. 34:33 Okay, what about Mr. Habib? 34:36 Okay, let me add a little. Ee, Uning 34:39 probably often gets health information 34:42 like this. Drink three gingers and two 34:47 oranges, you'll 34:51 stay young for 100 years, for example. 34:53 Or, the source is Prof. 34:57 Dr. Wivikana Suhendra, for example. 35:01 Well, there's a lot of news being 35:05 spread. Not just in the health sector, 35:08 but there are so many other fields like 35:11 that. It looks herbal, it looks like 35:14 what's it called? Valid, right? Share 35:17 it as much as possible. Well, there's a 35:21 lot of news that can even be dangerous, 35:25 right? So, sharing, uh, caring, filter 35:30 before sharing, okay? The point is, the 35:33 more extraordinary the news, the more 35:36 we check first who the source is. Is 35:39 the source just from WhatsApp, is it 35:41 from an official institution, does it 35:43 have a good reputation? Second, is 35:45 there evidence? Is there data or not, 35:48 what are the statistics, what are the 35:51 documents like? Is the statement 35:53 consistent? Well, third, for example, 35:55 there's the media's right to speak, is 35:58 this called a narrative war? If, for 36:01 example, we relate it to other fields, 36:04 for example, the war, the war between 36:06 Iran and America, this is a narrative 36:08 war. So, we have to see, for example, 36:11 which side the media is in favor of. 36:14 There are also credible media, and 36:16 there are also fake media. The fake 36:19 media, how do they take sides just to 36:21 make money? So, does that make sense or 36:25 not? For example, if you invest IDR 1 36:29 million for 10 days, it will become IDR 36:33 10 million. That doesn't make sense. So 36:36 , does 36:37 this make sense or not? 36:39 So, then we have to see what the motive 36:41 is? This is something that is often 36:42 forgotten. Who benefits from this news? 36:46 Is this news badmouthing medical 36:50 experts to promote unverified medicines 36:54 ? Well, there are two types of herbal 36:56 medicines. Some have been verified, and 36:59 some have not been tested. So, if I 37:02 share, there is a framework, stop, stop 37:07 . What is the content? The S is the 37:10 source, who is the source? The T is the 37:13 TH. The Third is, eh, what is the 37:16 evidence? The E is the third? Then the 37:19 O is the other source or another source 37:22 . Did other sources talk about the 37:24 purpose of the P? What is the purpose 37:26 of the news being made? Usually, there 37:28 are characteristics of hoax news, 37:30 namely provocative titles like that and 37:32 emotional ones. Then ee there is a 37:35 writing that immediately disseminates 37:36 it. Well, there are many hoaxes like 37:39 that. Then there are no references, 37:41 spectacular like that, Ms. Nuning. So, 37:44 the news is like that. Well, actually 37:47 I'm interested in how we fix an 37:51 organization that is already damaged, 37:54 it really seems like this organization 37:58 is about to die. So, what is the role 38:01 of AI? Is AI replacing humans? Because 38:04 many companies are being replaced by AI 38:07 . And there is also an interesting 38:09 phenomenon, ee ee Ms. Nuning. So, there 38:13 is one company outside, Samsung, if I'm 38:18 not mistaken, they said, "I regret 38:22 using AI," right? And they started 38:25 recruiting human workers again, right? 38:28 Hehe. So, ee, what is the role of AI, 38:33 what is human acuity like? There are 38:38 things that cannot be replaced, called 38:40 II, right? Well, this is very 38:43 interesting, Mr. Wifik. So there was 38:47 one case, yes, my relative was sick. 38:50 Well, on one occasion, I didn't have 38:55 time to go to the doctor, so I ended up 38:57 using AI to ask for medicine. This is 38:59 quite risky, don't imitate it. But with 39:02 what you call it, God's help, I don't 39:06 actually know. I tried using A, which 39:08 uses medicine. I tried buying this 39:11 medicine, putting it in, trying it 39:13 again until, uh, it turns out my 39:16 relative had been to the doctor, but 39:18 there was no recovery. Well, I used AI 39:22 several times with what I call comments 39:25 that were quite advanced, quite 39:28 complicated. Finally, by God's 39:31 permission, this person recovered, Mr. 39:33 Wivik. So, how does this AI threaten 39:36 the healthcare industry in the future? 39:39 Well, what Mr. Wivik did was actually 39:42 AI is integrated with the system, with 39:45 his big data. How does this EA help the 39:48 system so that it can more easily 39:51 understand the large amount of patient 39:54 data that can be used for future 39:57 predictions. Oh, there are a lot of 39:59 sick patients in the Cibubur area. For 40:01 example, the flu. Oh, maybe because 40:03 it's cold or something. Well, the data 40:06 can be read. But, eh, according to Mr. 40:08 Wifik, what will the future of this 40:11 healthcare world be like with EA? Will 40:14 this EAI replace doctors in the future? 40:17 E, like what Elon Mas said, like the 40:22 experts. They've predicted this. But 40:26 we're also afraid that, for example, if 40:28 we seek treatment, it's treated by a 40:30 robot and then it's wrong. Then who 40:32 will hold us responsible? Surely not 40:34 with a robot, 40:36 sir. So, what do you think, sir, what 40:40 are the future trends in the healthcare 40:42 industry? Okay. 40:44 Yes. Uh, from our experience, our 40:47 experience supporting friends in 40:50 healthcare at the Regional General 40:52 Hospital, the first time before AI 40:54 boomed, we used big data, Mas Habib. 40:57 Big data means we create data, eh, we 41:00 create a dashboard with a large 41:02 database. For example, imagine that for 41:04 5 years, or 10 years, the hospital will 41:07 definitely have patient data. Data on 41:10 patients with disease A, let's say, 41:12 what is their ICD number. Let's say, 41:14 for example, dengue fever. Dengue fever 41:17 , it turns out, always occurs during 41:20 the transitional months, for example. 41:23 Then, the demographics, for example, 41:27 the number of children under 12, or the 41:31 elderly, over 60, for example. Well, 41:35 there's actually a trend; there's data 41:37 scattered throughout the database. 41:39 That's what we didn't dig into. So at 41:41 that time, we tried to dig into what 41:43 drugs were most commonly used, what 41:46 diseases were most common in a 41:48 particular month, and what age groups 41:51 and all of that, the trends were clear. 41:53 So from there, we could make 41:55 predictions, like, oh, the hospital 41:58 should stock up on this drug this month 42:00 because the same thing happened last 42:03 year. Something like that, right? Well, 42:05 now there's AI. Well, AI is basically 42:09 artificial intelligence, and it does 42:13 carry out that predictive process 42:17 automatically. That's why AI can 42:20 determine, oh, next month, we should 42:24 buy this drug so that this disease is 42:28 covered. Well, but AI does have a lot 42:31 of delusions. 42:33 Hm. Huh, 42:33 right? If we talk about AI, it's 42:35 hallucinations. Well, the 42:36 hallucinations that occur in AI are 42:38 because AI is also learning. AI learns. 42:41 The learning process also takes a long 42:43 time and requires a lot of resources. 42:45 At times like we see, for example, 42:47 there are deeps, there is Chat GPT, 42:50 there is Gemini, right? Well, they are 42:53 simple, let's try CGPT, for example, uh 42:56 CGBT, my head is dizzy and then a 42:59 little feverish, right? Then why does 43:01 my throat hurt? What do I think is 43:03 wrong? Please establish a diagnosis for 43:05 me. He'll come out with that sret, 43:07 right? Later he'll say, "I'm not a 43:09 doctor, okay?" He'll definitely say 43:10 something like, "I'm not a doctor, okay 43:11 . You still have to go to the doctor if 43:15 , uh, if you feel A B C D E F." So, Ei 43:18 was also given a kind of uh ethics that 43:22 they are not allowed to establish a 43:25 diagnosis and state that the disease is 43:28 true, right? But he said, "I'm not a 43:30 doctor. Please go to the doctor." But 43:32 if the question is reversed, can they 43:35 replace the doctor tomorrow? In my 43:38 opinion, it's possible because medical 43:41 science is a standard science that 43:43 exists in the world, and it's available 43:45 on the internet. But in my opinion, 43:48 that's a disclaimer. Well, what we're 43:50 currently utilizing is actually more 43:53 like what Habib mentioned earlier, and 43:55 if something goes wrong, who's 43:57 responsible? There has to be a human 43:59 being, right? In Islam, there has to be 44:01 a wakalah (representative). There has 44:03 to be someone who is truly responsible, 44:05 who receives that mandate. So, the most 44:08 important thing about the system we 44:11 have is how we build a system with AI, 44:14 with predictive diagnostics that help 44:17 doctors. For example, if there's a new 44:19 disease, doctors have to consult books, 44:21 for example, because they might forget 44:23 most of the diseases. Now, because AI 44:25 can read all the resources in the world 44:27 , it can see, and then the doctor can 44:30 see, oh yeah. Well, the doctor, but the 44:32 doctor still makes decisions based on 44:34 real observations in the field, based 44:36 on real diagnoses in the field, and 44:38 also based on suggestions from AI. So, 44:40 the best AI function for diagnostics 44:44 now is a hybrid function. So, the AI 44:47 only provides suggestions, and then the 44:49 doctor makes the decision. So, 44:51 accountability in the hospital is still 44:53 possible. Except for, for example, 44:56 predictive medicine, pharmaceuticals, 44:59 drug purchases, or disease predictions 45:01 that will occur in the coming years. 45:04 Well, that can use AI. At the very 45:06 least, it's for preventive and 45:07 projective measures. It's just a 45:09 projection, Mas Habibi. In my opinion, 45:12 yes. 45:14 By the way, if we're talking about the 45:18 next 5 years, for example, or the next 45:22 10 years, what is the ideal picture of 45:25 the health ecosystem that has been 45:29 realized? What concrete steps do we 45:34 need to take from now on? Whether it's 45:39 in the business world, in Islamic 45:42 institutions, in society, or even the 45:44 government. What's the picture? 45:49 Go ahead, Mas Tabib. 45:54 Ah, sorry, my voice sounds a bit 45:59 faint, but I get what Mbak Nuning means 46:01 . 46:01 Okay. Okay. 46:03 What will the health ecosystem look 46:04 like in the future? 46:06 Yes. Well, okay. The 46:09 next 10 years or 5 years. Okay. So, 46:14 this EA will help almost all sectors of 46:20 human life, including important, urgent 46:26 fields. But this AI will have ethics, 46:32 emotions, and factors that will take a 46:37 long time to learn. Although AI has 46:41 also been implanted with emotions. 46:43 Right now, humanoid robots in China are 46:47 five years ahead of us. Five to ten 46:49 years ahead of us. If we want to see 46:52 Indonesia five or ten years ago, just 46:54 look at China now. There, robots are 46:58 already helping humans with their work. 47:02 For example, restaurants without 47:03 employees are commonplace. Cars with 47:07 drivers, not drivers, or autonomous 47:10 cars are commonplace. This also applies 47:14 to hospital services. So, how do we 47:18 combine China's unique methods, its 47:21 traditional ones, which have been 47:24 around for over 5,000 years? 47:26 Hehe. 47:27 That's why Islam also learns from China 47:29 , and there's a saying like that. So, 47:32 for example, a sick person, Ms. Nuni. 47:35 When she's sick, she's asked, "What 47:37 kind of treatment do you want? 47:39 Traditional or, what? Modern? 47:43 Traditional Chinese medicine or modern? 47:45 " Okay, I want modern medicine. For 47:48 example, modern medicine, modern 47:51 diagnosis, uh, so you want modern 47:54 medicine or Chinese medicine. Okay, I 47:57 want Chinese. That can be an 47:59 alternative to taking traditional 48:02 treatments. Well, AI is actually 48:06 m-leverage or increasing capabilities 48:10 10 times or more, more than 10 times, 48:14 yes, for thinking capacity, analytical 48:18 capacity, capacity in establishing 48:21 diagnoses and predictive history. So 48:25 what predictive? To determine the 48:28 decisions we are given, will be given 48:30 based on existing data. That is very 48:33 helpful for humans, what to establish, 48:36 yes, patients and so on. But 48:39 AI is indeed very helpful in this case. 48:42 Well, in the case of Ms. Nuning's 48:44 health, here's an example. For example, 48:47 Ms. Nuning has two doctors. One doctor 48:50 comes in every 5 minutes. Okay. Uh, as 48:52 soon as Manuning comes in, as soon as 48:54 she sees this, for example. I'm not 48:55 saying what her name is, uh, but for 48:58 example, Manuning comes in every 5 49:00 minutes, okay, this medicine, it's okay 49:02 if you don't touch it. There's another 49:05 doctor who, as soon as Ms. Nuning comes 49:07 in, will be asked, what's wrong with 49:08 Ms. Nuning? Is it sick? Oh yeah, Miss 49:10 Nuning, let me tell you a little story. 49:12 Yes, I was sick because I was 49:13 accompanying my child yesterday. The 49:14 doctor listened for a while. Oh, yeah. 49:17 Then he touched her stomach, for 49:18 example, what do you call it? His hand. 49:21 Oh, he touched her neck. Oh, it's a bit 49:23 hot. Which one do you think Miss Nuning 49:25 prefers? 49:27 The one who cares more, not just giving 49:29 medicine. So, there's a thing called 49:33 professionalism and personal experience 49:36 . I think personal experience can never 49:40 be replaced by AI. Why is it that 49:43 overseas, there are so many people who, 49:47 because they don't have a partner, 49:51 choose their partner, AI, as if the AI 49:55 is their partner. But in reality, they 50:00 still don't love the robot or the AI. 50:03 Why? Because there's no physicality. So 50:07 , God created the human person with 50:09 emotions that far exceed any 50:12 intelligence, you know. And what about 50:15 humans, touching, what's it called, 50:18 giving direct attention and so on can 50:21 be more healing, yes, it can be more 50:24 effective in healing than just being 50:27 sick, taking this medicine, this 50:29 medicine, no. 50:30 Sometimes, yes, I tell this story, 50:34 ee, maybe my wife, yes, there are one 50:36 or two patients, ee, a few, there are 50:39 only patients who, when they see, ee, 50:42 my wife just looks at me. Oh yeah, I'm 50:44 getting better. Even given medicine, 50:47 there are medicines that have no 50:50 function, there are medicines that have 50:53 no function. And actually, taking 50:55 medicine is the same as not taking 50:56 medicine. 50:56 Yes. Yes. 50:58 The medicine only convinces the patient 51:01 that he is better, he is better. 51:03 Meeting 51:05 the doctor. 51:06 That is actually more complex than 51:10 technology. 51:11 Yes. And unfortunately, we are at the 51:14 end. So, for Mr. Wivik, how about a 51:18 closing idea related to building our 51:21 health ecosystem this time? Go ahead. 51:24 Okay, so I'll close my statement. 51:26 Yes. 51:27 How many minutes was that? I wanted to 51:28 discuss a little bit earlier. What will 51:29 it be like in the next 5 years? At 51:31 least a little bit. In the next 5 or 10 51:34 years, maybe 51:36 hospitals will be more automated. Then 51:39 AI will also predict. So, in the future 51:42 , hospitals won't be 51:44 hospitals, but more like healthy home 51:47 ecosystems. Because AI will be able to 51:50 predict disease risks before they 51:51 appear. Monitoring can be done 51:54 digitally. We already use digital 51:55 clocks now, right? 51:57 So hospitals can monitor people online 52:00 near the wire, then have them examined 52:03 at the hospital. So, the consultation 52:05 will be virtual. There's also the 52:08 possibility of twin patients. So, 52:11 there's a patient with a virtual 52:13 patient, whose health records will be 52:15 recorded virtually. So, the medical 52:18 record will be a live record, not a 52:21 virtual one like current data. So, in 52:24 the next five or ten years, AI will be 52:26 highly integrated into all fields. As 52:29 Habib said, perhaps the closing 52:33 statement is, yes, as humans, as 52:36 servants of God, we should be grateful 52:41 to be at the end of the world, the end 52:46 of time. Where everything is now very 52:50 digital, and AI has also been born. 52:54 Even predicting that they were actually 52:56 born before us. And uh, we all hope 53:00 that whatever AI is, whatever digital 53:03 ecosystem exists, it will continue to 53:07 simplify and improve the quality of 53:10 human life, right, Ms. Nuning? Hehe. 53:13 Because if we look at the scary side, 53:15 look at A, it's scary. But we can't 53:18 help but hope and pray to Allah that 53:21 with AI, our lives will become easier, 53:23 our worship will become easier, and we 53:26 can live happily in this world and in 53:28 the hereafter. 53:29 Amen. 53:30 So that's me. 53:31 Um, Bang Habib, is there anything you 53:33 want to add? 53:34 Okay. So, uh, listeners who are blessed 53:38 by Allah, today we are learning about 53:40 the legacy of service. uh, that big 53:45 changes often don't start with the most 53:48 advanced technology, right? They start 53:51 with a simple question, how can I make 53:54 other people's lives easier? Yes. Well, 53:57 if we make that question a culture, 53:59 solving problems, then innovation is 54:01 born, right? It can become a great 54:04 organization, right. Well, when we ask 54:07 questions, yes, we intend everything to 54:10 be worship. Later, a civilization will 54:13 be born, even success. Okay, let's hear 54:16 from Mr. Wifik that a hospital isn't 54:19 measured by its luxurious building or 54:21 its modern technology, but what's most 54:24 memorable is how well it's served and 54:26 treated like a human being. I feel like 54:29 he appreciates it. Ultimately, humans 54:31 never forget how they're treated by 54:34 others. This technology has no heart. 54:37 This AI has no empathy. The system has 54:41 no compassion. But when everything is 54:44 in the hands of sincere people, people 54:47 who want to give the best for other 54:50 people, who want to make their value 54:53 worship, technology changes for good. 54:56 It changes decisions that even save 54:58 other people's lives. When Allah asks 55:01 us later, "What have you done for 55:03 others with your knowledge, with your 55:06 position? What will our answer be? Are 55:08 we just building a business, collecting 55:11 money that we will leave behind, 55:13 that our children will fight over?" 55:16 Hehe. 55:17 Well, starting from now on, let's build 55:19 our jariah (inheritance). God willing, 55:21 how will the lives of others be better 55:23 than 55:25 before with our presence? 55:28 Yes. 55:28 We intend everything with worship, not 55:31 just efficiency, but to be trustworthy. 55:34 We are not competing to be the most 55:37 sophisticated, but to make other 55:39 people's lives easier. 55:41 Thank you very much, Bung Habib, and 55:43 thank you, Sir. Peace be upon you, 55:49 brothers and sisters. May this event 55:52 inspire and enlighten us all regarding 55:56 AI. Thank you again. May Allah grant us 56:01 guidance and guidance. Peace be upon 56:04 you, brothers and sisters. 
