Digital transformation… also in the healthcare sector

Transformación digital del sector salud

 

Digital transformation is a recurring topic today, where all sectors and social areas are impacted to a greater or lesser extent by this transformative wave, even without the actors themselves being aware of the depth of the changes it generates. In this sense, it is important to understand the real dimension of the concept of digital transformation, which implies a continuous and complex process affecting the very essence of what we are and what we do.  

The healthcare sector is also experiencing this digitalization phenomenon with changes that aim to improve the quality and efficiency of medical care by obtaining information and its appropriate use in order to optimize decision-making at all levels of the healthcare system. A clear example is the digital acceleration that the healthcare field has experienced due to the coronavirus pandemic. Thus, digitalization in the healthcare sector is not only about helping patients with their illnesses or doctors with their tasks, but also about speeding up workflows, providing more security for medical staff and hospitals, and offering more transparency to patients. Thus, creating a connected healthcare ecosystem, where interactions are smarter, faster and more accurate between people, devices, data, analytics and applications that are transforming the way healthcare is delivered.

What are the main advantages of digital transformation in the healthcare sector?

  • It optimizes the work of medical professionals by offering more accurate results and diagnoses that contribute to providing more appropriate comprehensive treatments.
  • It speeds up times by reducing the number of medical appointments, allowing check-ups and consultations to be made from home.
  • Enables the creation of a unified medical record that is continuously updated across devices 
  • Performs remote patient monitoring and virtual training to reduce costs and complications of chronic illnesses 
  • Allows the exchange of information in real time between doctor-patient, making a continuous follow-up from prevention to diagnosis and treatment, significantly reducing medical errors. 

What tools and technologies are needed?

The digital transformation in the healthcare sector is being driven mainly by the Internet of Things (IoT), which makes it possible to connect sensors, devices, software and intelligent networks via the Internet. In this sense, wearable clinical devices have become a trend in the sector in recent years and are being used especially to observe high-risk patients.

Macrotest’s mission is to contribute to the healthcare sector by providing products and solutions that allow us to continue improving patient care and the quality of medical services. In this sense, we have developed Rehabictus, a support platform that makes it easier for stroke patients to carry out their rehabilitation from home. Rehabictus is a technological development composed of an APP, a web platform and electronic devices based on artificial intelligence that monitor the movement of patients. The mobile application receives data from the device, which has functionalities such as exercises with personalized levels and visualization of achievements, and from the web platform, the medical professional can access the patient’s data, establish the frequency of exercise, note observations, verify the graphs of their evolution taking into account different parameters, details of exercises and achievements. 

In this way, with this development, Macrotest seeks to provide an accurate follow-up of patients’ rehabilitation and ensure greater success in their recovery. Contact us for more information on how to digitize your healthcare organization.

Artificial intelligence… is in our daily lives?

artificial-intelligence

 

Artificial intelligence… is in our daily lives?

The reality indicates that, almost unnoticed, artificial intelligence has gone from being in movies and scientific breakthroughs to being present in our daily lives. But first let’s define the term. According to Andreas Kaplan and Michael Haenlein, artificial intelligence is “the ability of a system to correctly interpret external data, to learn from that data and to use that knowledge to achieve specific tasks and goals through flexible adaptation”. In simple terms, we can say that when a machine mimics human functions and behavior, such as learning, perception, problem solving and reasoning, we are talking about artificial intelligence.

Since its appearance in 1956, artificial intelligence has become very popular, mainly as a consequence of the increase in the amount of data and advanced algorithms used today. Without going any further, Internet shopping and the advertising we see when browsing, the searches we perform on the web, the translations that are generated automatically and the virtual assistants on our cell phones are some concrete examples of the presence of artificial intelligence in our daily lives.

What are the most common applications of this technology in different sectors of the economy?

Among the most common applications in the business world, the following stand out. In the health sector, it is used, for example, to survey the symptoms presented by patients and thus contribute to clinical diagnosis and identify genetic factors that could in the future lead to the development of certain diseases. In the transportation sector, the first driverless cars could be used to improve traffic flow, optimize traffic flow and avoid possible collisions. Autonomous driving can also be applied to other types of transport, such as rail transport, bringing significant improvements in speed without neglecting safety issues. In the manufacturing sector, artificial intelligence can be reflected in robotized processes and predictive maintenance of machinery. In the financial sector, artificial intelligence finds its main applications in security and also in financial market predictions. In the agricultural sector, predictive analytics are also widely used to improve productivity and reduce environmental impacts, for example by minimizing the use of fertilizers and pesticides, and even of such a precious resource as water. Finally, in the commercial sector, artificial intelligence makes it possible to predict sales, as well as to guide customers in choosing the most appropriate products or services according to their specific characteristics and needs.

As you can see with these simple examples, the applications of artificial intelligence in each of the sectors are diverse and are expected to multiply in the coming years. At Macrotest we are here to advise you on the implementation of artificial intelligence in your company. We have a team of highly trained professionals who will help you find the best solution for your business. Contact us!