A Section 8 Company Promoted by SHRM BIO TECHNOLOGIES Pvt Ltd
CCAIM - For Critical Care Professionals
Batch 2 Coming Soon Connect For Admission
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Thorough understanding of Potential for AI innovations in the healthcare
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Use of AI in clinical medicine, patient monitoring, clinical queries, precision diagnosis (like Pathology, Radiology, Genomics etc) and care,
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Use of some basic AI tools like LLM, NLP, Generative AI etc. in healthcare service quality improvement
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Use of AI in regular practice by medical professionals
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How medical research, report writing, peer review can be enhanced using AI tools
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Use of AI in legacy applications, social media contents for efficient output
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Exploring how it can be applied to enhance healthcare data management for enhanced diagnosis and patient monitoring,
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Understand and evaluations of various AI applications
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Practical adoption and Deployment challenges
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Practical demonstration with capstone for leading digital transformation
Program Anatomy
Total Duration : 42 Hours (4 Hrs per week) / Two & half Months
Model of Delivery : Online
Eligibility : Physicians, Clinicians, Medical Students , (Postgraduate), Graduate Nurse for those connected to ICU, Emergency and other critical care ,
Certification : Dual Certification -
1. Healthcare Sector Skill Council, (HSSC) MSDE, GOI.
2. Universal AI University
Lesson Structure
43 hours | 15 Modules | 3 Section Assessment | 1 Research Project | 1 Capstone Project
CCAIM - For Laboratory Medicine Professionals
Program Anatomy
Total Duration : 42 Hours (4 Hrs per week) / Two & half Months
Model of Delivery : Online
Eligibility : Physicians, Clinicians, Medical Students , (Postgraduate), Graduate Nurse for those connected to Pathology and laboratory Medicine ,
Certification : Dual Certification -
1. Healthcare Sector Skill Council, (HSSC) MSDE, GOI.
2. Universal AI University
Lesson Structure
43 hours | 15 Modules | 3 Section Assessment | 1 Research Project | 1 Capstone Project
-
Thorough understanding of Potential for AI innovations in the healthcare
-
Use of AI in clinical medicine, patient monitoring, clinical queries, precision diagnosis (like Pathology, Radiology, Genomics etc) and care,
-
Use of some basic AI tools like LLM, NLP, Generative AI etc. in healthcare service quality improvement
-
Use of AI in regular practice by medical professionals
-
How medical research, report writing, peer review can be enhanced using AI tools
-
Use of AI in legacy applications, social media contents for efficient output
-
Exploring how it can be applied to enhance healthcare data management for enhanced diagnosis and patient monitoring,
-
Understand and evaluations of various AI applications
-
Practical adoption and Deployment challenges
-
Practical demonstration with capstone for leading digital transformation
