How are consumers accepting artificial intelligence (AI) that is rapidly being introduced into various industries? A recent SAS survey of 500 Americans found that consumers felt more comfortable with AI technology in the healthcare industry than in finance or retail.In particular, 47% of the respondents said they would be willing to receive help from artificial intelligence technology even during surgery. In addition, six in 10 (60%) felt comfortable with doctors using data from wearable devices such as Apple Watch and Fitbit to evaluate and advise on their lifestyle. In fact, artificial intelligence is rapidly entering the healthcare sector, providing new solutions to complex and expensive medical problems. At this time, in order to successfully utilize artificial intelligence, an analytical thinking analysis organization must be established, and an analysis platform must be built as part of the effort. Artificial intelligence makes machines learn by themselves from experience, adapt to new inputs, and perform tasks like humans. Most of the AI cases we hear, from chess game computers to self-driving cars, rely heavily on deep learning and natural language processing (NLP). With these technologies, computers are trained to perform specific tasks by processing vast amounts of data and recognizing patterns.In the medical field, artificial intelligence uses algorithms and software to analyze complex medical data similar to human cognition.
The key objective is to analyze the relationship between prevention or treatment techniques and patient outcomes from them. Why do we need an analysis platform?Much investment is being made in both the existing and innovative AI environments, but most AI projects remain in the prototype stage, except for the high-tech industry. So it’s rare to provide the level of business value we expect. The key challenge is to create AI applications that can be run and include them in enterprise business processes.This requires an analysis platform. The analytics platform is a software-based platform designed to gain insights from data in any computing environment. The platform is based on a strategy that drives business activity from analytics insights to support the full analytics lifecycle, ranging from data to discovery to deployment.Build on analytics platforms to develop scalable, integrated security models, i.e. managed and controlled AI applications. This application can also evolve to support the end-to-end analysis lifecycleHow can we use AI to improve the healthcare sector? Applying artificial intelligence to advanced analytical prediction models based on new and historical behavioral data allows healthcare professionals to identify patterns from both statistics and real-time data and make diagnoses using them.Many companies are investing a lot of resources to develop artificial intelligence algorithms. Successful introduction of algorithms into production environments can realize the true value of artificial intelligence. In other words, it can be applied to actual hospitals to produce results. Many healthcare companies are struggling because there is no right analytics platform for this very process.When a healthcare company begins its journey for analysis, visualizing a data set that tells it where it starts is critical. Companies can add algorithms for more predictive results when they know what to focus on.Improve diagnostic speed and quality: Patients expect to be diagnosed quickly and treated accurately. But not all hospitals meet this. The key is to improve its foundation to increase the speed and quality of disease diagnosis. This allows both hospitals and patients to benefit.
Infomining is a company that actually utilizes, applies, and develops these.”When a patient is wearing a MediWatch (real-time bio-signal collection equipment), biological information is delivered to medical staff in real time. Nurses don’t have to go around and check the patient’s condition. If a patient is undergoing outpatient treatment after discharge wearing a watch, it is easy for a guardian to understand the patient’s condition. If an abnormal signal occurs, you can call 119.”Infomining operates ‘Connectac’, a test system that can monitor patients in real time. It is characterized by real-time measurement of blood pressure, oxygen saturation, body temperature, and pulse, allowing doctors and guardians to check at any time. In the event of an emergency, a separate cause of death is marked to manage emergency patients. It also provides a preliminary questionnaire solution using artificial intelligence (AI). When a patient enters basic information and symptoms through chatbot AI before visiting a hospital, all information of the patient needed for treatment is provided at a glance. Medical staff can focus on patient care, and patients can receive better medical services.Infomining is generating revenue by receiving fees from companies that use the solution. ConnectDac has been operating for one year at one large hospital, and the pre-visit system provides services by signing a contract with T, a non-face-to-face treatment company in the U.S. In the future, if it is recognized as a medical device at home and abroad, the number of customers is expected to increase. It has already developed a responsive chatbot for Teledoc Healthcare, the No. 1 in the U.S., and is receiving licensing costs, and is also being verified in Japan (Fujisoft, Omron, and Toyota). Several global pharmaceutical companies have already been invited and are being approached for clinical-related and various uses. Currently, the Korean Ministry of Food and Drug Safety has almost completed verification to obtain software medical certification and permission.”It is not easy to measure bio-signals in real time. Anyone who has been to the hospital knows well. Now, if a doctor wants to know a patient’s bio-signal, he or she contacts a nurse to measure blood pressure or pulse. Measuring bio-signals is so frequent that it accounts for a third of the nurse’s workload. Measuring this in real time can greatly reduce the number of medical staff.There is no similar type of service so far.
Medical institutions are more conservative than expected, so they do not try to introduce new technologies well in the field of medical treatment and examination. For this reason, new services do not appear often. Medical staff and investors also seem to appreciate that.How about the pre-examination service?”It has the effect of shortening medical hours. When artificial intelligence organizes and delivers information related to a patient’s condition, the doctor asks a few more questions and makes a prescription. In the non-face-to-face medical industry, the use of preliminary questionnaires is useful because it can reduce traffic (data transmission).”In the early days of the COVID-19 outbreak, we created a inspection and quarantine system that manages domestic and foreigners who entered Korea. Infomining has developed an overall system that transmits information on immigrants at the stage from entry to facility isolation and stay in accommodation. The inspection and quarantine solution was recognized by the Ministry of Health and Welfare and jointly applied for a patent, and was also awarded a commendation for national merit.”We want to upgrade the introduction of Connectdoc services into the field of drug prescription. For example, if you use the connectac service when prescribing blood pressure drugs, you can properly determine the time of administration. Usually, blood pressure drugs are prescribed based on the patient’s blood pressure on the day. However, some patients have problems only in certain situations, such as blood pressure rising when they are nervous. It is not desirable to prescribe blood pressure drugs for these people. If you check the patient’s blood pressure in real time, it will help you prescribe medicine.”
▲ INFOMINING CO., LTD.
▲ CEO : Jae-yong Lee
▲ http://infomining.co.kr
▲ worldconsult@infomining.co.kr
▲ +82-70-4914-2970
EJ SONG
US ASIA JOURNAL
