by Kiko Ramos | Feb 25, 2025 | News
The European Society for Medical Oncology (ESMO) is an international organization that multidisciplinary professional organization which promotes research, education, and international collaboration in the cancer treatment in Europe and worldwide. Founded in 1975, it brings together physicians, researchers and health professionals who are responsible for implementing innovative strategies and developing medical advances in the area of oncology.
What are the latest advances that have been made in oncology in the last year? In the following article, we analyze the importance of ESMO in medicine and the most outstanding research in cancer treatment.
ESMO's role in medicine
ESMO plays a key role in cancer research worldwide. Among its main functions, it supports research into new therapies, the development of personalized medicine and the use of artificial intelligence in the detection of cancer and in the area of diagnostic imaging. It is responsible for the creation of various clinical guidelines to promote the medical education and research into innovative cancer treatments.
To this end, it organizes congresses, courses and scientific publications to update professionals and specialists on the latest trends in oncological treatments. At the same time, it also elaborates international guidelines and protocols for cancer diagnosis and treatmentThe company's work in this field has led to many advances: the following are some of the most important advances in the field In particular, its work in this field has led to many advances:
- Create and implement safer and more effective treatments.
- Promoting prevention by means of a early diagnosis of cancer.
- Promote a equitable access to cancer care.
- Improving quality of life of millions of patients.
4 new advances in oncology presented by ESMO
On an annual basis, ESMO organizes one of the most important oncology congresses in the world: the Congress of the European Society for Medical Oncology ESMO. It brings together researchers, professionals and world leaders in the field of oncology to present the latest discoveries in oncology therapies, prevention strategies and technological innovations in medicine.
The last event took place in Barcelona, Spain, from September 13 to 17, 2024, where it was possible to analyze the latest advances in cancer treatment. The following is a summary of what was new:
New studies in immunotherapy
As recently as 15 years ago, the prognosis for a patient with metastatic melanoma was very limited. There was no way to slow the progression of the skin cancer and their life expectancy was less than six months. However, at the beginning of the last decade, great advances were achieved with the development of immunotherapy.
What does immunotherapy consist of? It is a technique based on the stimulation of the body's own defenses to eliminate the malignant cells present in the body. Today, immunotherapy studies have achieved a survival rate of 10 years for a person with the same disease. Its favorable results have allowed it to be expanded to other tumors and, at present, it is also being used to treat other tumors. is used in some types of lung, bladder and breast cancer.
A decade later, it has become a fundamental therapeutic approach that is still under continuous development and research.. During the ESMO congress, a study was presented showing the long-term impact of immunotherapy. The publication showed that half of the patients with metastatic melanoma who had been treated with immunotherapy survived cancer-free for up to 10 years.
Another research presented at the congress was that this type of drugs raises the survival of the most aggressive breast cancer: triple negative.
2. Intelligent precision chemotherapy
One of the major innovations addressed at the ESMO 2024 congress is the ADC drug developmentwhich combine a monoclonal antibody with cytotoxic agents. These drugs allow targeting chemotherapy directly to tumor cellsThis increases efficacy and reduces side effects.
Currently, the intelligent chemotherapy, with greater precisionis one of the most outstanding advances in oncology treatment and cancer cure. The use of ADC drugs represents one of the most promising solutions for the treatment of cancer. to treat different types of tumors, applying lower doses of chemotherapy and with lower toxicity.
3. Artificial Intelligence applied to Oncology
Artificial intelligence (AI) is revolutionizing oncologyThe results of this research range from predicting responses to treatments to detecting genetic alterations that are invisible to the human eye. The AI in medicine facilitates the realization of faster and more accurate medical testsThe company's products and services are designed to improve the personalization of therapies and optimize clinical results.
4. Shorter and more effective radiotherapy in breast cancer treatment.
According to a study presented at the ESMO annual congress, a shorter radiotherapy protocol proves effective for women with breast cancer. During the clinical investigation, 1,265 patients were evaluated and the effects of a standard five-week radiation therapy were compared with a new scheme, referred to as "hyperfractionated".. This protocol consisted of reducing the treatment to three weeks and increasing the irradiation dose progressively at each session.
Currently, it had been studied that the effectiveness of a shorter radiotherapy was the same in the case of a localized tumor, but it had not yet been analyzed in women with lymph node breast cancerwhich represents the 30% of breast cancers. As session doses increased, there were fears of increased side effects, but the results of the fractionated therapy study indicate increased overall survival rates without relapse and metastasis.
Thus, the future application of shorter radiotherapies in cases of nodal breast cancer will help to reduce the treatment load and increase its efficiency.
In conclusion
These advances and challenges presented at the ESMO 2024 congress reflect the dynamism and advances in the area of oncology and cancer treatment. To this end, they have a great importance of research and adaptation of clinical practices to improve patient outcomes and prognoses.
Kiko Ramos
CEO of 4D Médica. Expert in marketing and distribution of medical equipment.
by Kiko Ramos | Feb 19, 2025 | Curiosities
The discovery of X-rays was one of the most important scientific breakthroughs in history. The author of this discovery was the physicist Wilhem Conrad Röntgen, who accidentally discovered this technique in his laboratory in 1895. Over the years, it became a fundamental tool in the fields of medicine, industry and security. The old X-ray machines revolution in the health care sector, particularly in the area of diagnostic imaging. But what is the origin of this medical technique and how did the first X-ray machines come about?
Discovery of X-rays
X-rays were discovered the November 8, 1895 by physicist Wilhelm Conrad Röntgenin Hamburg, Germany. After his studies in medical engineering, he entered the world of physics and obtained his first findings while studying the penetrating power of cathode rays.
Throughout his research, he identified that a nearby fluorescent screen emitted a glow, even though there were solid objects between the radiation source and the screen. This phenomenon indicated that a new form of radiation, invisible to the human eyewas able to pass through opaque objects and project their image on a surface. Röntgen called it "X-rays", using the letter "X" to indicate that it was an unknown phenomenon.
How was the first X-ray created?
Röntgen, with the assistance of his wife, Anna Bertha Ludwigdiscovered that by holding a lead hoop he could see the bones of his wife's hand. along with her wedding ring. The physical decided to print the image and, to do so, he asked his wife to place her left hand on a metal plate so that he could photograph her, giving rise to the first X-ray.
Findings and initiation of radiological practice
At January 1896, Röntgen published his discovery in the article "On a new kind of rays". A few weeks later, the news spread rapidly around the world and, that same year, the first medical applications began to be developed.
This discovery revolutionized medicine and awarded Röntgen the first Nobel Prize in Physics in 1901.He was the first recipient in the history of these awards. Throughout history, several physicians applied X-ray radiation to treat dermatological conditions and some types of cancer, such as basal cell, uterine cancer and leukemia.
However, the first medical radiologist who did research on its application and the development of radiological practice was Albers-Schönberg. The author produced the first publication on radiology worldwide, entitled "Progress on X-ray areas". Subsequently, the first publications in the field of X-rays began to be developed. X-ray machines.
Antique X-ray machines: Origin, components and characteristics
Currently, X-rays represent one of the most widely used diagnostic imaging technologies. The electromagnetic radiations generated by X-rays have the ability to pass through organic matter and imprint it on a plate with photographic material. Subsequently, they generate medical images in shades of black, gray and white of the internal structures of the human body, giving rise to what is known as the radiography.
The use of this technology allows the diagnosis of multiple diseases and injuriesand, therefore is used in different medical techniques and equipmentBoth in its entirety and in combination with nuclear techniques. From conventional radiography, the computed tomography or CAT scanthe mammographyfluoroscopy and angiography to bone densimetry.
The first antique X-ray machines were based on the Crookes tube, a vacuum glass device that generated electrons from an electric current. These electrons struck a metallic material, producing X-rays, which could pass through soft tissues and project an image of bones onto a photographic plate.
Components of old X-ray machines
Early X-ray machines were made up of a series of essential components that allowed the generation and capture of images. Unlike modern equipment, the first devices were rudimentary and lacked safety measures, which implied certain risks for both operators and patients.
- Crookes tubeThey worked by means of a vacuum tube with electrodes that generated X-rays upon impact against a metallic material. To do this, they used electrical discharges in low pressure gases.
- High voltage sourceThis element was necessary to accelerate the electrons in the vacuum tube.
- Fluorescent screen or photographic plateIt was in charge of capturing the image projected by the X-rays.
- Manual exposure systemThere was no automatic control of exposure time, which generated a series of risks.
Characteristics of old X-ray machines
In addition to their components, early X-ray machines had several features that set them apart from today's equipment:
- Bulky and fragile structureThey were large and heavy equipment, with glass components that could break easily.
- Prolonged exposure to radiationTo obtain a clear image, patients had to remain still for up to 30 minutes, which increased their exposure to radiation.
- Absence of security measuresLead barriers and protection for operators or patients were not used, since the harmful effects of radiation were not known at that time.
- Low quality imagesThe first radiographs were blurred and with low contrast, which made medical interpretation difficult.
Evolution of X-ray machines
As the risks of radiation were understood, improvements in X-ray technology were introduced:
- 1913 - Coolidge TubeA new, safer and more efficient X-ray tube was developed, allowing better images with less exposure.
- 1920-1930 - Lead protectionLead aprons and protective barriers were implemented to reduce radiation exposure.
- 1970 - Digital radiographyIt allowed obtaining higher quality images with reduced exposure times.
- News - Advanced technologyToday, there are systems such as computed tomography (CT), fluoroscopy and digital mammography, which offer high-precision images with minimal radiation doses.
Risks and limitations of early X-ray machines
Although X-ray machines represented a major breakthrough, they also brought together a set of limitations and dangers:
- High radiation levelsIn the absence of dose control, operators suffered burns and other harmful effects after repeated exposures.
- Burns and diseasesProlonged exposure could cause skin lesions, hair loss and even serious diseases.
- Lack of precisionThe images were of low resolution, which hindered accurate diagnoses.
- Unregulated useIn the early years, there were no regulations on the use of X-rays, which led to accidents and health problems.
Early X-ray machines were a milestone in medical historyHowever, their unregulated use and high level of radiation posed significant risks. Today, X-rays continue to be a major risk. essential tool for medical diagnosis. However, its multiple advances and the use of technology has made it possible to create modern, safe and much more efficient medical equipment for the detection of diseases and other conditions.
Kiko Ramos
CEO of 4D Médica. Expert in marketing and distribution of medical equipment.
by Kiko Ramos | Feb 10, 2025 | News
Millions of cases of cancer are diagnosed every yearbeing the second leading cause of death in the world. The term cancer encompasses numerous diseases characterized by the development of abnormal cells in the body that divide, grow and spread uncontrollably throughout the body. It encompasses more than 200 types of cancerThe main ones are breast, lung, colon and rectal (colorectal), prostate, skin, liver, pancreatic, cervical, stomach and blood (leukemia) cancers.
The World Cancer Day is celebrated on February 4.where prevention and early detection is a key aspect in the fight against the disease. Early diagnosis can save many lives and, in this area, the area of diagnostic imaging plays an essential role.
Through the use of advanced technologiesIn addition, it is possible to identify abnormalities before symptoms or signs appear by means of computerized tomography (CT), magnetic resonance imaging (MRI), mammography and other support techniques. In addition to this, it is possible to medical innovation and use of artificial intelligencewhich allows for a much more accurate, personalized and efficient diagnosis. This not only improves success and survival rates, but also facilitates less aggressive and more effective treatments.
Importance of early cancer diagnosis
The early diagnosis of cancer is an essential tool for detecting the disease in its early stages. Many cancers are asymptomatic or have mild symptoms that may go unnoticed. However, when detected early, cancer treatments tend to be more effective and less aggressive, so that survival rates increase significantly.
For example, in the case of breast cancer, the five-year survival rate is higher than 90% when detected at an early stage, while in advanced stages the chances of success are drastically reduced. The same is true for colon, prostate, lung and cervical cancer, among others.
What are the main advantages of early diagnosis?
- Increased treatment effectivenessTreatments are more effective at earlier stages, reducing the need for invasive procedures such as aggressive surgery or intensive chemotherapy.
- Reduced impact on quality of lifeDetecting cancer early may allow for less aggressive treatments with fewer side effects.
- Increased survival rateIn many cases, patients who receive an early diagnosis have a much longer life expectancy.
- Reduction of healthcare costsCancer treatment in advanced stages is more costly and complex. In contrast, early detection allows for simpler and more economical interventions.
Diagnostic Imaging: Benefits in Cancer Screening
The diagnostic imaging area allows non-invasive observation of the inside of the body through the use of different technologies, tools and specialized medical equipment. This is crucial in the detection of cancer, since facilitates the identification of organ and tissue abnormalities. The main benefits of diagnostic imaging in the early detection of cancer include:
Early detection of tumors before they become clinically apparent
One of the greatest benefits of diagnostic imaging is its ability to detect tumors in early stages, when there are no symptoms or signs yet. that evidence the presence of tumors or irregularities. Thus, by starting treatment early, your success rates are increased.
Accurate assessment and reduction of invasive procedures
Medical imaging provides a more accurate detailed visualization of body organs and tissuesThis helps specialists to differentiate between benign and malignant masses. With this, it is possible to to accurately assess the size, location and characteristics of the tumor. In turn, the need for invasive procedures is reducedas in the case of biopsies.
Monitoring of disease progression and response to treatment.
Diagnostic imaging is not only used to detect cancer, but also to make a monitoring of patients' response to treatment. For this purpose, magnetic resonance imaging or positron emission tomography (PET) tests make it possible to assess whether a tumor is responding correctly to chemotherapy, radiotherapy or immunotherapy treatments. In this way, it is possible to adjust the treatment according to the patient's needs.
Improvement of the patient's quality of life
Imaging studies, being non-invasive techniques, allow for the following detecting cancer without painful procedures or long recovery periods. This improves the patient experience and avoids unnecessary interventions in many cases, improving their quality of life.
Main imaging techniques for cancer detection
There are different medical techniques in the area of diagnostic imaging that play a key role in the detection of different types of cancer:
Mammography
Mammography is the main technique used in the diagnosis and treatment of early detection of breast cancer. By means of a mammography equipment or mammographer, tumors, microcalcifications and suspicious nodules can be identified before they are palpable. We can differentiate two types of tests:
- Screening mammogramsMammography: This is a screening used in women who have no signs or symptoms of breast cancer. Therefore, it is recommended that women over the age of 40 have this type of mammogram as a form of prevention.
- Diagnostic mammogramsBreast cancer screening: It is used when a woman has symptoms such as lumps, pain, discharge or changes in the skin of the breast, or when an abnormality is detected on a screening mammogram or screening mammogram.
Computed Tomography (CT)
Computed tomography, also known as computed tomography, also known as TACis a medical procedure that uses x-rays and digital processing to obtain detailed images of internal organs. It is essential in the screening for lung, liver, pancreatic and colon cancer.
Magnetic Resonance Imaging
In this technique, a magnetic field is used to generate radio waves that allow to create detailed medical imaging of soft tissues. The magnetic resonance imaging is especially useful in the brain, prostate and breast cancer screeningThe results of the tumor assessment are more accurate.
Ultrasound
The ultrasound is a medical procedure that uses ultrasound waves to examine internal organs and structures. This is a key tool in the thyroid, ovarian and prostate cancer screeningIt allows the visualization of abnormal masses without radiation.
Positron Emission Tomography (PET)
The Positron Emission Tomography or PET scanning is a technique that uses a radioactive tracer to identify active cancer cells. It is used in the detection of metastases and in the evaluation of the response to treatment of oncology patients.
Colonoscopy with digital imaging
Allows you to detecting polyps in the colon and rectum that may progress to cancer. The use of colonoscopy in screening programs has significantly reduced colorectal cancer mortality.
The role of technology and Artificial Intelligence in early diagnosis
The advances in technology and the use of the artificial intelligence in medical image analysis are revolutionizing cancer detection. AI-based technologies can analyze mammograms, MRIs and CT scans with high accuracy, making it possible to identify patterns and abnormalities before symptoms become apparent.
The artificial intelligence systems in medicine use advanced algorithms and machine-learning models to analyzing medical images, medical records, genetic data and other sources of information of patients. The use of the AI in medicine improves diagnostic accuracy and efficiency in medical and health care, as large volumes of data can be analyzed quickly and accurately. As a result, it has become a key tool for early disease detection.
Main advantages of AI in cancer diagnosis
- Streamlines the performance of diagnostic imaging studies and interpretation of medical images.
- Offers more detailed and customized analysis for each patient.
- Helps reduce errors.
- Optimizes treatments to suit the needs of each patient.
- Improved health and hospital care.
In the fight against cancer, every small step counts. Prevention, early detection and the use of technology and medical innovation are the most important elements in advancing research into the disease and improving patients' quality of life.
Kiko Ramos
CEO of 4D Médica. Expert in marketing and distribution of medical equipment.
by Kiko Ramos | Feb 5, 2025 | News
The latest innovations in the veterinary sector have led to improved accuracy and efficiency in the processing of clinical X-ray images in animals. Vieworksa company specializing in medical and industrial imaging solutions, has signed an agreement with the collaboration with SK Telecom Company to accelerate the expansion of integrated veterinary diagnostic solutions.
Through this synergy, Vieworks will be able to integrate its "VXvue" image processing software with the "X Caliber" AI diagnostic assistance service for pets, developed by SK Telecom. The collaboration was signed during the Veterinary Meeting & Expo held in Orlando, USA, on January 15. It involves a expansion of the development of diagnostic assistants based on artificial intelligence (AI)This is a key driver of innovation in pet health care.
What are the uses and functions of the VXvue and X Caliber tools? Below, we analyze each of the tools and the advantages of their integration in the area of veterinary diagnostic imaging.
Vieworks VXvue Software: Advanced Medical Image Processing
The "VXvue" software, developed by Vieworks, is a advanced image processing platform designed to improve the quality and accuracy of medical images obtained from medical imaging detectors. X-rays. Its use is widespread both in human medicine and in the veterinary field, providing optimized tools for analysis and diagnosis.
Key features of VXvue
- High-precision image processingImproves the clarity and detail of clinical images using advanced algorithms.
- Intuitive and easy-to-use interfaceEnables medical and veterinary professionals to analyze images quickly and efficiently.
- Compatibility with different X-ray detectorsOffers flexible integration with digital imaging equipment.
- Customized functions for different types of diagnosticsIt is adapted to the area of human and veterinary radiology, both in the area of small animals and equines.
VXvue applications in veterinary medicine
- Diagnostic imaging in petsProvides detection of musculoskeletal and thoracic diseases in dogs and cats.
- Equine radiologyHigh resolution imaging for bone and soft tissue evaluation in horses.
- Real-time analysisMedical imaging: Provides a detailed study of medical images generated on computers and mobile devices.
X Caliber from SK Telecom: AI-assisted veterinary diagnostics
In 2022, SK Telecom launched "X Caliber", an advanced computer-assisted diagnostic imaging system, with the aim of providing artificial intelligence (AI). It is a tool that allows X-ray images of dogs and cats to be analyzed in about 15 seconds. To do this, it uses cloud technology to store and record data, eliminating the need to install a separate server. Its main objective is to provide veterinarians with a quick and accurate tool for the early detection of diseasesThe quality of diagnosis is improved and veterinary care is optimized.
Features of X Caliber
- Rapid disease detectionIdentifies musculoskeletal, thoracic and abdominal abnormalities in dogs and cats in a matter of seconds.
- AI-based analysis: Uses advanced algorithms trained on large volumes of veterinary data.
- Cloud operationIt is easy and fast to implement, as it works in the cloud. Therefore, it does not require additional infrastructure in healthcare centers and clinics.
- Intuitive and accessible interface: It is compatible with a variety of devices and thus allows for a quick diagnostic review.
- Constant updates and improvementsAnother key aspect is that the use of AI facilitates the expansion of the range of diseases detected.
How does X Caliber work?
The X Caliber tool provides a quick diagnosis in a few simple steps:
- Image captureDigital X-ray detector: A digital X-ray detector is used to capture the medical image of dogs and expenses.
- Analysis with AI in the cloudThe image is sent to the X Caliber platform, where it is processed by artificial intelligence algorithms.
- Anomaly detection in 15 secondsThe system analyzes the image and provides quick results with indications of possible pathologies.
- Viewing on any deviceVeterinarians can review results on computers, tablets or smartphones without the need for additional servers.
Veterinary applications of X Caliber
- Musculoskeletal diseases in dogsDetects bone and joint problems.
- Thoracic pathologies in catsIdentifies pulmonary and cardiac diseases.
- Measurement of heart size (VHS)Allows an accurate analysis of cardiac diseases.
- Detection of abdominal injuriesEvaluates internal organs to identify possible anomalies.
Advantages of VXvue and X Caliber integration
Viewoks' agreement with SK Telecom is aimed at launching a new integrated medical imaging solution that includes X-ray detector, image acquisition software and AI diagnostic support service.. By linking both tools in a single device, it will be possible to analyze clinical X-ray images of dogs and cats, providing abnormal findings for musculoskeletal and thoracic diseases in as little as 15 seconds.
The image post-processingThe use of the information, along with information such as disease location and likelihood of injury, will drastically improve veterinary care. Currently, the diagnostic range of X-Caliber IA is rapidly expanding to include 34 canine and 13 feline pathologies.
Diagnosis of pathologies in dogs and cats
| Species |
Type of Pathology |
Diseases |
| Dogs |
Musculoskeletal diseases (7) |
- Medial patellar dislocation
- Subluxation
- Loss of infra patellar fat pad
- Osteophyte and enthesophyte
- Deviation of the fascial plane
- Fractures
- Enlarged popliteal lymph nodes
|
| Thoracic diseases (10) |
- Generalized cardiomegaly
- Left atrial enlargement
- Diffuse parenchymatous pattern
- Bronchial pattern
- Cranioventral parenchymal pattern
- Caudodorsal parenchymal pattern
- Thoracic mass
- Mediastinal shift
- Tracheal collapse
- Pleural effusion
|
| Abdominal diseases (16) |
- Gastric dilatation
- Gastric Foreign Body
- Dilatation of the small intestine
- Colelites/Hepatolites
- Hepatomegaly
- Microhepatitis
- Splenomegaly
- Kidney stones
- Urinary bladder stones
- Urethral calculi
- Prostatomegaly
- Uterine distension
- Decreased serous detail
- Abdominal mass
- Abdominal wall mass
|
| Measurement of heart size (VHS) |
Yes |
| Cats |
Thoracic diseases (5) |
- Left atrial enlargement
- Parenchymal pattern
- Bronchial pattern
- Cranial mediastinal mass
- Pleural effusion
|
| Abdominal diseases (7) |
- Gastric Foreign Body
- Dilatation of the small intestine
- Hepatomegaly
- Kidney stones
- Urinary bladder stones
- Decreased serous detail
- Peritoneal effusion
|
| Measurement of heart size (VHS) |
Yes |
Through this collaboration, both companies will create synergies and expand sales in the fast-growing global pet healthcare market.
At 4D Médica, we implemented X Caliber AI in the veterinary area.
From 4D MedicalIn the field of veterinary medicine, we are committed to medical innovation, artificial intelligence and technological advances in the field of human and veterinary medicine. In the area of veterinary medicine, one of our latest advances is the extension of the capture panel software for our veterinary direct capture X-ray detectorswhere we will include the X Caliber AI.
This is an AI-enabled extension that includes dynamic updates that can be accessed through membership. In this way, through the use of artificial intelligence, it will be possible to obtain a accurate diagnosis in as little as 15 minutes of a total of 34 pathologies in dogs and 13 pathologies in cats.
In addition to rapid and effective diagnostics, the AI software also will offer personalized recommendations to implement the best treatment depending on the pathology and the diagnosis obtained. This will save both time and resources, optimizing veterinary care to the maximum and improving the quality of life of many pets.
Kiko Ramos
CEO of 4D Médica. Expert in marketing and distribution of medical equipment.
by Kiko Ramos | Jan 24, 2025 | AI in medicine
The use of Artificial Intelligence (IA) is transforming medical care in laboratories, clinics and hospitals. Through the use of technology, patient care can be improved, laboratory analysis processes can be optimized and diagnostic imagingas well as offering more efficient hospital management.
Artificial intelligence uses various algorithms that enable highly complex reasoning processes to be carried out, automating many tasks and functions. The use of AI in medicine provides multiple benefits and has a key role to play in the implementation of disease prevention and diagnosis, search for novel treatments and improvements in patient prognosis.
In the following article, we explain the process for implementing Artificial Intelligence solutions in laboratories, clinics and hospitals and the different applications that currently exist.
How to implement AI in laboratory and hospital analysis
Before starting to use artificial intelligence in the clinical setting, it is important to have an well-defined and structured strategy that integrates the technology along with the correct development of the process. These are the main steps to implement AI effectively:
1. Define the main objectives
The first step is to establish the objectives to be achieved with the integration of AI in the healthcare center. Among them, we can highlight:
- Reduction of diagnostic times.
- Customize treatments.
- Optimize resource management.
- Improve patient experience and care.
By setting clear goals, specific solutions can be provided using artificial intelligence, which will enable optimize healthcare management and save time and resources.
2. Analyze weaknesses and needs
Once the main objectives have been set, it is essential to carry out a complete diagnosis of the laboratory, clinic or hospital to analyze its weaknesses. This analysis should include the review of workflows the identification of the most important main problems and the areas that have a greater administrative or technical burden.
On the other hand, it is also important to involve medical, administrative and technical personnel in this process, as their day-to-day experiences provide a more accurate picture of real needs. Through a collaborative approach, AI solutions will be aligned with the specific challenges faced by the organization.
Select the right AI tools and solutions.
Subsequently, you must selecting the artificial intelligence technologies best suited to the hospital area. AI tools are revolutionizing the healthcare sector, especially in hospitals and laboratories, by improving diagnostic accuracy, increasing operational efficiency and delivering better healthcare. In this process, it is important to research the options available in the market and work with specialized healthcare technology providers.
Ensure proper integration into the healthcare ecosystem.
For the successful implementation of AI, it is crucial that new technologies are integrated with the systems that were already in use previously. Some of the tools we can highlight are hospital management software and its linkage with medical equipment, as well as the RIS system and the PACS system.
One of the essential aspects to achieve a correct integration is the interoperability concept. It refers to the importance of systems being compatible and capable of sharing information so that they can work in a coordinated and joint way in the different processes. For this reason, before applying the use of artificial intelligence, it is necessary to check that the systems to be used are compatible with each other.
5. Staff training
Another element to be taken into account is to provide a adequate staff training who will work with these technologies. This includes both medical and administrative staff, as they will be in charge of managing the tools, interpreting the data provided by AI and making the most of them in their day-to-day work.
In addition, it should fostering a culture of trust in technologyHe stressed that AI will not replace professionals, but is a tool that complements and improves their work. With this, it will be possible to ensure a correct transition to the application of new processes and innovations.
6. Ensuring data security and privacy
The management of medical data involves a great responsibility in terms of security and privacy. The implementation of AI must comply with local and international regulations, such as the General Data Protection Regulation (GDPR) in Europe. In this way, it will be possible to ensure that patient information is protected at all times.
The main measures include the correct data encryption, a user authentication and the anonymization of information whenever possible. In addition, it is crucial to conduct regular audits to identify and correct possible vulnerabilities in the systems.
7. Implement in a staggered manner
Introducing AI gradually is a fundamental strategy for minimize disruptions to day-to-day operations and facilitate staff adaptation. You can start with a pilot project in a specific unit, such as radiology, and evaluate its impact before extending the implementation to other areas.
During this phase, it is important to collect feedback from staff and adjust the tools according to their needs and suggestions. Through this step-by-step approach, improvements can be made progressively and achieve a adequate adoption of new artificial intelligence tools.
8. Monitor and measure results
The implementation of AI must be accompanied by an continuous monitoring to ensure that the solutions are meeting the established objectives. This involves define key performance indicators (KPIs)The results of this study have been significant, such as a reduction in diagnostic time, an increase in operational efficiency and an improvement in patient satisfaction. Regularly evaluate these results will identify areas for improvement and adjust strategies as needed, taking full advantage of the benefits of artificial intelligence in healthcare.
9. Promote continuous innovation
The implementation of AI is not an isolated action, but rather a continuous process. Technology is a sector that is constantly evolving. Therefore, it is important to be aware of new tools and methods in the healthcare area in order to be able to implement future improvements. To ensure that a medical institution is committed to innovation and is competitive in its sector, the following can be done to promote various actions. Among them, we can highlight:
- Foster a culture of innovation among the personnel.
- Participate in research programs.
- Collaborate with universities or technology companies.
- Implement new tools and methods.
Artificial intelligence solutions for laboratory analysis, clinics and hospitals
Source || Freepik
What kind of solutions can be implemented to optimize clinical and hospital management?
Software with artificial intelligence
Through the use of a AI softwareon the same platform, you can storing medical images generated in diagnostic imaging studies, manage patient data in real time, generate automated reports and make comparisons of current studies with previous medical imaging.
AI-assisted diagnostic imaging
The current medical equipment can integrate diagnostic imaging software with AI. These systems employ advanced algorithms to identify anomalies and diseases early, improve diagnostic accuracy and reduce analysis time. They can be used for different types of equipment, ranging from X-raysCT scans, CT scans or TAC, ultrasounds y mammograms to magnetic resonances.
Virtual agents for laboratory analysis and hospital centers
A virtual agent provides automation of different tasksIt can therefore be implemented in the healthcare sector to optimize the management of medical centers, clinics and laboratories. Through an artificial intelligence platform such as Serenity Star AIcan be implemented chatbots and virtual assistants that offer 24-hour patient support, improving customer service. Among its advantages, it stands out for providing instant information on hospital services, resolving patient queries, guiding patients in their search for specialists, and managing appointments and other administrative procedures.
The use of virtual agents also offers other functions very useful in research and hospital management. They allow the analysis of complex medical data with high accuracywhich allows accelerate the performance of medical studies and develop improvements and innovations in areas such as research and laboratory analysis.
Laboratory process automation
There are AI systems that allow automate many functions in laboratory analysis processes. From the performance and analysis of clinical tests to inventory management and the implementation of quality control improvements. Its use helps reduce human error, increase operational efficiency and reduce study processing time.
AI-assisted surgical robots
In the field of surgery, AI and robotic systems are making a difference. The use of AI-assisted surgical robotsas Da Vinci, help to realize more precise and less invasive procedures, decrease surgical risk and reduce recovery times of patients.
Another of the most noteworthy advances in this area is the creation of surgical simulation models to plan, practice and refine procedures before performing them in clinical practice.
Advances in telemedicine: Use of portable and AI-integrated medical equipment
Among the latest innovations, we can highlight the development of portable and AI-integrated medical devices. Its use offers continuous monitoring of patients outside the hospital environment, achieving great advances in telemedicine.
The telemedicine is one of the most outstanding areas of medical innovation, as it allows for assisting people with chronic diseases remotely and reach regions where medical services are not fully available. In this way, regardless of the specialist's location, fast and accurate diagnoses can be made.
Implementing artificial intelligence in laboratories, clinics and hospitals is a process that requires planning, collaboration and a strategic vision. From identifying needs to monitoring results, each step is crucial for ensure that AI is integrated effectively and generates tangible benefits. With proper execution, AI can transform healthcare, improving service quality, optimizing resources and ushering in a new era in healthcare management.
Contact with us to implement AI in the hospital environment.
Bibliography
Castro Beltrán, J., Vivas Gamboa, R. C., & Caicedo, J. (2023). Artificial intelligence in medicine: A narrative review on advances, applications and limitations.
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Kiko Ramos
CEO of 4D Médica. Expert in marketing and distribution of medical equipment.
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