In a recent meeting organized by MCPRO with the sponsorship of Lenovo, experts from different sectors discussed the impact of workstations as certified equipment and prepared for demanding business applications in resources, especially those related to artificial intelligence. In this round table, the presence of representatives of companies related to the health sector must be indicated. Moderated by Gustavo de Porcellinis, director of McPro, the event was attended by ANtonio Urda Martínez-Aedo (Savana), Pablo González (Ribera Salud), Xavier García (Better Care), Matías Tedesco and Sonia Santos (Cemro Clinic), and José Manuel Muñoz (Lenovo). The conversation revolved around issues such as artificial intelligence (AI), Workstations, cybersecurity and the ethical and technological challenges facing modern health.
The transforming role of the workstations
One of the most prominent themes was the role of the workstations in the medical field and artificial intelligence applications and data treatment. José Manuel Muñoz, head of Lenovo for Iberia in the Workstations area, explained how these machines They are essential to handle large volumes of clinical dataradiological images and predictive models. According to Muñoz, «The workstations are ‘Formula 1 of the PCs’; They are designed to work in extreme environments such as ambulances or medicalized helicopters. »these stations not only offer power and reliability, but are also approved to meet the strict requirements of the health sector.
Muñoz stressed that workstations allow critical tasks such as genomic sequencing or radiological analysis without interruptions. Thanks to characteristics such as double power supply and redundant systems, they guarantee that the data is not corrupted or lost during prolonged processes. In addition, he stressed how these machines are prepared to integrate emerging technologies such as augmented reality and high definition 3D models. On the other hand, it was discussed how workstations are key to ensuring that predictive models based on AI can be executed locally without relying exclusively on the cloud. This is crucial in hospital environments where reliability and security are essential.
Impact en diagnosis and investigation
The combined use of AI and Workstations is transforming medical diagnosis and data analysis. Antonio Urda pointed out «Savana uses natural language processing to structure unstructured clinical data; This allows you to take advantage of all the potential of the medical data. “ This allows hospitals to get the most out and analyze all hospital processes to improve treatments and research. For its part, Xavier García He mentioned that «Interoperability is key; We need transverse platforms that ensure the quality of the data even in critical environments such as UCIS. » underlining the importance of data transfer between platforms to be able to take advantage of the data.
In the debate table it was also commented that both in the radiological field and in other departments in which the amount of data handled are enormous and on the other hand of the utmost importance, Workstations are facilitating more precise diagnoses Thanks to their ability to process images with increasing resolutions and to apply tools, such as artificial intelligence, which allow specialists to look at details that would otherwise be impossible. In particular Muñoz pointed out that «Lenovo’s workstations support different software tools that are fundamental to detect subtle changes in injuries or tumors that could go unnoticed for the human eye. ”
On the other hand, artificial intelligence is revolutionizing medical diagnosis in areas such as radiology and electrocardiography. According to Xavier García: “In medical image, algorithms are able to detect imperceptible subtleties for the human eye, such as the minimum growth of injuries or structural changes in diseases such as multiple sclerosis. This can completely change patient treatment”. In addition, he mentioned a project in Valencia that centralizes all electrocardiograms in a unique repository to facilitate their analysis with the consequences for improving patient treatment.
Telemedicine also had its space in the debate. Pablo González He highlighted how Ribera Salud uses AI and other technologies to extend the scope of hospitals: «Telemedicine allows to manage liquid hospitals; We move medical services to the patient’s domicile optimizing hospital resources. »Telemedicine allows liquid hospitals to be managed; We move medical services to the patient’s home optimizing hospital resources. “ This requires robust devices such as workstations to guarantee a continuous flow of data between patients and hospitals. Matías Tedesco He added that Cemro Clinic «we are implementing digital solutions that connect doctors with patients from their homes; This improves accessibility but requires logistics reorganization. “
Sonia Santos He mentioned how Cemro Clinic is using surgical robots together with artificial intelligence to improve operational results in patient treatments: “In complex injuries such as knee, surgical robots allow millimeter accuracy while AI helps to the previous diagnosis and postoperative follow -up. This accelerates times and significantly improves the recovery of the patient.” They are advances that are gradually arriving at other disciplines and medical specialties.
The data: a key element
Antonio Urda He pointed out that medical data is a treasure for pharmacists and research centers that can advance even more if information from centers in different places is consolidated: “Spain is one of the countries that participates in more international studies thanks to its ability to generate quality clinical data. However, there is still much to advance in terms of common repositories and multicentric processes”. He also mentioned that the new European regulations on health data spaces promises to speed up these processesallowing to share information between hospitals throughout Europe and enhancing collaborative research
Computer security was another key issue addressed by Muñoz. In a sector as sensitive as the health, where Medical data has a high economic and strategic valueLenovo works to ensure that its devices meet the highest cybersecurity standards. From directed attacks to Phishing aimed at medical professionals, hospitals face increasingly sophisticated threats. Muñoz explained that Lenovo has implemented “Hotswap” front disco technology in its workstations to move large volumes of data physically and thus avoid saturations in hospital networks and protect sensitive data.
APPLIED TO PERSONALIZED PREVENTION
Antonio Urda He raised how artificial intelligence can revolutionize medical prevention: “Today we give general recommendations to all patients; but thanks to predictive models we can customize these recommendations according to age, occupation or even environmental factors”. This level of customization could transform areas such as endocrinology or geriatrics through decisions based on multiple layers of integrated data.
For its part Pablo González He addressed how AI can optimize the management of hospital resources, putting as an example the Criticat project in Catalonia. This system seeks to centralize all the UCI information of the Autonomous Community to provide future needs: “With predictive models we can anticipate occupation peaks and redistribute resources in real time, allowing more efficient management and avoids unnecessary saturations”. This approach could also be applied to other areas such as births or urgencies, improving hospital planning.
Ethics and IA: A necessary debate
The use of the significant ethical dilemmas. Antonio Urda He mentioned how technologies such as automatic defibrillator They already make critical decisions based on simple algorithms. However, when it comes to more complex predictive models, it is essential to establish clear regulatory frameworks to guarantee its validity and minimize biases. In addition, it was discussed how to validate these models within the hospital context. Xavier García He pointed out that «The biases derived from algorithmic training can limit their applicability; It is crucial to develop the specific AI according to each case. “
The round table made it clear that technology It has a transforming role in modern health. From improving diagnoses to optimizing hospital resources or customizing treatments, the possibilities are immense. Workstations emerge as key tools to ensure reliability and power in these critical processes.
