You will acquire advanced skills in the presentation, visualization and management of Artificial Intelligence data applied to the healthcare field”

Healthcare is a highly complex field that encompasses a wide variety of disciplines, from Medicine and Nursing to Computer Science and even Engineering. However, all these branches have a common goal: to provide the highest quality healthcare to patients. In this sense, interdisciplinary collaboration is key to more effectively address the medical challenges associated with AI-assisted treatments. This will allow professionals to define the needs of individuals, knowing their real problems in order to subsequently make efficient approaches.

For this reason, TECHhas developed this Postgraduate certificate that will improve the health care of its graduates through a thorough knowledge of Intelligent Automation. Designed by a teaching staff specialized in this subject, the syllabus will offer the most contemporary equipment for health monitoring. Along the same lines, the syllabus will delve into machine learning algorithms for the execution of therapeutic treatments. At the same time, the didactic materials will promote the adaptability of experts to therapeutic protocols using AI. The specialization will also delve into its application to act in health emergencies such as epidemiological outbreaks.

On the other hand, the only thing students will need to expand their knowledge will be a device with Internet access, such as a cell phone, computer or tablet, to access the Virtual Campus. The schedules and evaluation chronograms can be individually planned by the graduates. Also, this syllabus will be distinguished by relying on the disruptive Relearning teaching system, which is based on repetition to ensure the mastery of its different aspects. At the same time, it mixes the learning process with real situations so that the knowledge is acquired in a natural and progressive way, without the extra effort that memorizing would entail.

You will plan the measures through computerized and intelligent tools after this academic itinerary of TECH, the best digital university in the world according to Forbes”

This Postgraduate certificate in Optimization of Patient Care and Treatment with Artificial Intelligence contains the most complete and updated scientific program on the market. Its most notable features are:

• The development of case studies presented by experts in Artificial Intelligence in Clinical Practice
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will handle Artificial Intelligence effectively to cope with health emergency situations thanks to the study of this intensive program”

The program’s teaching staff includes professionals from the industry who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will have access to multimedia resources, such as explanatory videos and interactive summaries, which will allow you to dynamically update your skills”

The Relearning methodology used in this university program will allow you to acquire solid healthcare knowledge in an autonomous and progressive way”   

Through this Postgraduate certificate, physicians will gain a broad understanding of the use of AI-assisted treatment systems. To this end, the university program will cover the most advanced indicators for measuring the health status of patients. In this regard, the teaching materials will offer the most advanced tools for monitoring processes. Graduates will be able to assess the response of individuals to therapies and verify whether any adjustments are required. The syllabus will delve into the keys to improving health care by designing individualized plans. In addition, it will highlight interdisciplinary collaboration to ensure the well-being of citizens.

You will acquire the necessary skills to master Artificial Intelligence assisted treatment systems after this Postgraduate certificate”

Module 1. Treatment and Management of Patients with AI

1.1. AI-Assisted Treatment Systems

1.1.1. Developing AI Systems to Assist in Therapeutic Decision Making
1.1.2. Using AI for the Personalization of Treatments Based on Individual Profiles
1.1.3. Implementing AI Tools in the Administration of Doses and Medication Schedules
1.1.4. Integrating AI in Real-Time Treatment Monitoring and Adjustment

1.2. Definition of Indicators for Monitoring Patient Health Status

1.2.1. Establishing Key Parameters Through AI for Patient Health Monitoring
1.2.2. Using AI to Identify Predictive Indicators of Health and Disease
1.2.3. Developing Early Warning Systems Based on Health Indicators
1.2.4. Implementing AI for Continuous Assessment of Patient Health Status

1.3. Tools for the Monitoring and Control of Health Indicators

1.3.1. Developing AI-Enabled Mobile and Wearable Applications for Health Monitoring
1.3.2. Implementing AI Systems for Real-Time Analysis of Health Data
1.3.3. Using AI-Based Dashboards for Visualization and Monitoring of Health Indicators
1.3.4. Integrating IoT Devices in the Continuous Monitoring of Health Indicators with AI

1.4. AI in the Planning and Execution of Medical Procedures with Intuitive Surgical's da Vinci Surgical System

1.4.1. Using AI Systems to Optimize Planning of Surgeries and Medical Procedures
1.4.2. Implementing AI in Simulation and Practice of Surgical Procedures
1.4.3. Using AI to Improve Accuracy and Efficiency in the Execution of Medical Procedures
1.4.4. Applying AI in Surgical Resource Coordination and Management

1.5. Machine Learning Algorithms for the Establishment of Therapeutic Treatments

1.5.1. Using Machine Learning to Develop Personalized Treatment Protocols
1.5.2. Implementing Predictive Algorithms for the Selection of Effective Therapies
1.5.3. Developing AI Systems for Real-Time Treatment Adaptation
1.5.4. Applying AI in the Analysis of the Effectiveness of Different Therapeutic Options

1.6. Adaptability and Continuous Updating of Therapeutic Protocols using AI with IBM Watson for Oncology

1.6.1. Implementing AI Systems for Dynamic Review and Update of Treatments
1.6.2. Using AI in Adapting Therapeutic Protocols to New Findings and Data
1.6.3. Developing AI Tools for Continuous Personalization of Treatments
1.6.4. Integrating AI in Adaptive Response to Evolving Patient Conditions

1.7. Optimization of Healthcare Services Using AI Technology with Optum

1.7.1. Using AI to Improve the Efficiency and Quality of Healthcare Services
1.7.2. Implementing AI Systems for Healthcare Resource Management
1.7.3. Developing AI Tools for the Optimization of Hospital Workflows
1.7.4. Applying AI in the Reduction of Waiting Times and Improvement of Patient Care

1.8. Applying AI in the Response to Health Emergencies

1.8.1. Implementing AI Systems for Rapid and Efficient Healthcare Crisis Management with BlueDot
1.8.2. Using AI in Optimizing Resource Allocation in Emergencies
1.8.3. Developing AI Tools for Disease Outbreak Prediction and Response
1.8.4. Integrating AI in Warning and Communication Systems during Health Emergencies

1.9. Interdisciplinary Collaboration in AI-Assisted Treatments

1.9.1. Promoting Collaboration between Different Medical Specialties using AI Systems
1.9.2. Using AI to Integrate Knowledge and Techniques from Different Disciplines in Treatment
1.9.3. Developing AI Platforms to Facilitate Interdisciplinary Communication and Coordination
1.9.4. Implementing AI in the Creation of Multidisciplinary Treatment Teams

1.10. Successful Experiences of AI in the Treatment of Diseases

1.10.1. Analysis of Successful Cases in the Use of AI for Effective Treatment of Diseases
1.10.2. Evaluation of the Impact of AI in Improving Treatment Outcomes
1.10.3. Documentation of Innovative Experiences in the Use of AI in Different Medical Areas
1.10.4. Discussion on the Advances and Challenges in the Implementing AI in Medical Treatments

The didactic material of this program will take you deeper into machine learning algorithms for the establishment of therapies in a more visual way. Take this opportunity enroll now”