Become an expert in Clinical Risk Assessment in only 6 months and with total freedom of schedules"

Risk assessment is essential to safe and effective clinical practice. By identifying and addressing associated risks, healthcare professionals can improve the quality of care they provide. In addition, these techniques also help ensure that patients receive the care they need to maintain and enhance their health.

For this reason, TECH has designed a Postgraduate diploma in Clinical Risk Assessment in Healthcare for Nursing, which aims to provide students with the necessary skills to be able to perform their work with the highest possible efficiency and quality. Therefore, throughout this program, aspects such as Safety in Pathological Anatomy, AI for Patient Safety, Communication among professionals, Critical Risk Point Analysis or Environmental Biosafety in Health Care Centers will be addressed.

All this, thanks to a convenient 100% online modality that allows students to organize their schedules and studies, being able to combine them with their other obligations. In addition, the syllabus has the most dynamic and complete didactic materials and practical activities available on the market.

Update your knowledge on Clinical Risk Management and Patient Safety, in a 100% online modality and in the comfort of your home or work office"

This Postgraduate diploma in Clinical Risk Assessment in Healthcare for Nursing contains the most complete and up-to-date educational program on the market. Its most notable features are:

• The development of case studies presented by healthcare experts in Clinical Risk Assessment in Healthcare
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used 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

This program will enhance your competencies in the area of Clinical Safety in Mental Health and Types of Health Costs"

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 academic year This will be done with the help of an innovative system of interactive videos made by renowned experts.

Maximize your knowledge on Diagnostic Test Evaluation and Proactive Risk Management, thanks to TECH Global University"

Learn more about aspects such as the IRAS Classification or AI for Patient Safety"

This program has been designed by a large and outstanding team of professionals in the nursing field, with extensive experience in the sector. In this way, students will have at their disposal a complete syllabus that includes the most current and dynamic information in the market. All this, with the most innovative and practical didactic materials, to which the student will be able to access comfortably, whenever and however they wishes.

Thanks to this program, you will be able to keep up to date on the latest advances in Error Detection with New Technologies and Security Culture"

Module 1. Clinical Risk Management

1.1. Incident Reporting Systems

1.1.1. Patient Safety. Security Culture
1.1.2. Incident Reporting Systems

1.1.2.1. Adverse Event. Sentinel Event

1.1.3. Safe Clinical Practices in the Hospitalized Patient

1.1.3.1. Correct Identification of the Patient

1.2. Infection Control. Healthcare-associated infections (HCAI as an adverse event).

1.2.1. Epidemiological Situation of HCAI
1.2.2. IRAS Classification
1.2.3. Multidrug-resistant Microorganisms and their Relationship with HCAIs

1.3. Safety Planning for the Critically Ill Patient

1.3.1. Risk Factors for Adverse Events in the ICU
1.3.2. Action in Adverse Events in Critically Ill Patients
1.3.3. Corrective Measures. Security Culture

1.4. Patient Safety in Health Care Centers

1.4.1. Patient Safety Problems in Social and Health Care Centers.
1.4.2. Environmental Biosafety in Socio-Health Care Centers
1.4.3. Improving Patient Safety in Social and Health Care Centers

1.5. Patient Safety in Primary Care

1.5.1. Adverse Effects on Patient Discharge
1.5.2. Medication Reconciliation at Discharge
1.5.3. Check-list in minor ambulatory surgery

1.6. Clinical Safety in Mental Health

1.6.1. Safety Incidents in Mental Health
1.6.2. Safe  Clinical Practice

1.6.2.1. Pharmaceuticals, Outpatient and Inpatient Care

1.6.3. User Participation in Patient Safety

1.7. Health Care-associated Infections. Universal Measures in the Prevention of Infection

1.7.1. Standard Precautions
1.7.2. Specific Precautions  Based on Transmission
1.7.3. Significance of Hand Hygiene in the Hospital Environment.

1.8. Primary Prevention of Infections. Vaccines and Prophylaxis

1.8.1. Vaccination of Healthy Adults
1.8.2. Vaccination of Risk Groups
1.8.3. Vaccination and Post-exposure Prophylaxis in Health Care Personnel

1.9. Clinical Risk Management during the COVID Pandemic

1.9.1. Legal Framework for Pandemic International Approach

1.9.1.1. The International Health Regulations Emergency Committee (IHR 2005). 1.9.1.2. Public Emergency of International Importance (PHEII).

1.9.2. Training and Information for Patients and Professionals
1.9.3. Circuits and Personal Protective Equipment

1.10. Evaluation of Health Satisfaction: A Challenge to Quality

1.10.1. The Patient Experience
1.10.2. Measuring the Experience
1.10.3. Implementation and Benefits

Module 2. Health Technology Assessment.

2.1. Evaluation of Health Technologies based on Artificial Intelligence. Current Status and Future Perspectives

2.1.1. Evaluation of Health Algorithms using a Health Technology Assessment Methodology.
2.1.2. Democratization of Health Data for Clinical Research
2.1.3. International Comparison of the Current Status

2.2. Evaluation of Safety, Efficacy and Clinical Effectiveness GRADE Methodology

2.2.1. Posing the Clinical Question

2.2.1.1. Classification of the Events or Outcomes of Interest

2.2.2. Identification of the Available Scientific Literature and Evaluation of its Quality
2.2.3. Factors Influencing the Quality of the Evidence

2.2.3.1. Synthesis of Evaluation Results

2.2.4. Development of the Recommendation: Direction and Strength

2.2.4.1. Risk-benefit Balance, Resources-cost and Other Aspects.

2.3. Evaluation of Diagnostic Tests

2.3.1. Patients' Opinion on their Safety
2.3.2. Areas of Patient Involvement
2.3.3. Global Alliance for Patient Safety

2.3.3.1. Patient Associations in Defense of Patient Safety at International Level

2.4. Economic Assessment of Health Technologies

2.4.1. Types of Health Care Costs
2.4.2. Models in Economic Evaluation
2.4.3. Types of Studies in Economic Evaluation

2.5. Good Practices in the Clinical Laboratory

2.5.1. Safety in Microbiology and Clinical Analysis
2.5.2. Safe Use of Ionizing Radiation
2.5.3. Safety in Pathological Anatomy

2.6. Practical Experience in a Health Service

2.6.1. Global and Integrated Care of the Hospitalized Patient
2.6.2. Treatment of Medical Pathology Based on Scientific Evidence
2.6.3. Multidisciplinary Management of the Hospitalized Patient

2.7. Automation of Care Tasks. Efficiency in Routine Work

2.7.1. The Automation of Health Care Tasks
2.7.2. International panorama of organizations or entities in charge of health technology assessment.
2.7.3. Agencies for the Evaluation of Health Technologies and Services of the National Health Systems.

2.8. Impact of new technologies on Patient Safety and Quality of Care and their relationship with Health Outcomes.

2.8.1. ICTS. Risks or Benefits
2.8.2. Error Detection with New Technologies
2.8.3. Health Outcomes

2.9. The Electronic Health Record in Patient Safety and Quality of Care

2.9.1. Exploitation of the Electronic Medical Record for Patient Safety
2.9.2. Use of Machine Learning to Improve Patient Safety
2.9.3. Natural Language Processing to extract knowledge in patient safety.

2.10. Big Data in Health and Artificial Intelligence

2.10.1. Health Data Applied to Research
2.10.2. Artificial Intelligence for Patient Safety
2.10.3. Descriptive, Predictive and Prescriptive Analytics

Module 3. Errors in Health Care and Adverse Events

3.1. The Error in Health Care. Conditioning Factors

3.1.1. The Error in Health Care. Magnitudes
3.1.2. Security Culture

3.1.2.1. Understanding, Recognizing and Managing Adverse Events

3.1.3. Incident Notification and Management

3.2. Identification of Critical Points in an Organization. Health Care Processes

3.2.1. Situation analysis on the identification of Critical Risk Points.
3.2.2. Approach and Prevention Strategies
3.2.3. Critical Risk Point Communication Plan

3.3. Risk Management Incidents and Adverse Events

3.3.1. Models, Methods and Tools
3.3.2. Notification Systems. Adverse Event Registry
3.3.3. Identification of Adverse Events through the Analysis of Clinical Histories

3.3.3.1. Global Trigger Tool

3.4. Proactive Risk Management

3.4.1. Risk Prevention Proactive Management Tools
3.4.2. Failure Mode and Effects Analysis (FMEA).
3.4.3. Application of the Methodology in a Health Care Process

3.5. Sentinel Event Analysis Methodology

3.5.1. Root Cause Analysis
3.5.2. ACR Methodology on a Sentinel Event. Application
3.5.3. Attention to the 1st, 2nd and 3rd victim.

3.6. Briefing and Debriefing. The Safety Rounds

3.6.1. Briefing
3.6.2. Debriefing
3.6.3. The Safety Rounds

3.7. Unambiguous Patient Identification and Verification

3.7.1. Necessity of Unambiguous Patient Identification
3.7.2. Systems of Unambiguous Patient Identification
3.7.3. Patient Verification Systems.

3.8. Safe Transfer for the Patient

3.8.1. Communication between Professionals
3.8.2. Tools for Effective Communication
3.8.3. Errors in the Transfer between Professionals

3.9. Elaboration of a Patient Safety Program

3.9.1. Methodology for the Development of a Safety Program
3.9.2. Critical Risk Point Analysis
3.9.3. Evaluation of a Safety Program. Indicators

3.10. Implementation of a Patient Safety Program in a Clinical Unit. Monitoring and Best Practices

3.10.1. Monitoring of a Patient Safety Program.
3.10.2. Good Practices in Patient Safety
3.10.3. Evaluation and Improvement Proposals for a Patient Safety Program

The design of this program has been based on the most efficient pedagogical methodology, TECH Relearning, which facilitates a progressive and precise assimilation of the essential concepts of the syllabus"