I will like to work in artificial intelligence and machine learning as it applies to health care industry. To many of us "artificial intelligence" (AI), is synonymous to robots doing our jobs, rendering people obsolete. And, since AI-driven computers are programmed to make decisions with little human intervention, some wonder if machines will soon make the difficult decisions we now entrust to our doctors. Not exactly. Rather than robotics, AI in health care mainly refers to doctors and hospitals accessing vast data sets of potentially life-saving information. This includes treatment methods and their outcomes, survival rates, and speed of care gathered across millions of patients, geographical locations, and innumerable and sometimes interconnected health conditions. New computing power can detect and analyze large and small trends from the data and even make predictions through machine learning that's designed to identify potential health outcomes. Machine learning uses statistical techniques to give computer systems the ability to "learn" with incoming data and to identify patterns and make decisions with minimal human direction. The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Armed with such targeted analytics, doctors may be better able to assess risk, make correct diagnoses, and offer patients more effective treatments. The potential for AI to improve health care is staggering.
Hilary Mason, a prominent data scientist, noted in a Harvard Business Review, that “you can’t do AI without machine learning. You also can’t do machine learning without analytics, and you can’t do analytics without data infrastructure". So it all comes back to data. The MS in Health Care Informatics program integrates health care technology, clinical analytics, leadership, and business knowledge and skills in preparing you for leadership in health care informatics in a variety of positions within health care organizations. It provided me with a knowledge set that is required for a position in database management including AI. I intend to further pursue certifications in cyber-security. I believe that the knowledge gained in this program combined with cyber-security experience is sufficient for database management for Artificial Intelligence as it applies to the healthcare industry. This combined knowledge will position me for a career in the health care industry particularly with a career in database management for the Department of Public Health (DPH), Centers for Disease Control and Prevention (CDC), or the Veterans Affairs (VA). I am equally prepared and knowledgeable to demonstrate advanced clinical expertise based on nursing and related disciplines, provide leadership in integrating research into practice, utilize research based evidence as a foundation for practice in the healthcare industry, and apply information technology to enhance nursing education, practice, and research.
Hilary Mason, a prominent data scientist, noted in a Harvard Business Review, that “you can’t do AI without machine learning. You also can’t do machine learning without analytics, and you can’t do analytics without data infrastructure". So it all comes back to data. The MS in Health Care Informatics program integrates health care technology, clinical analytics, leadership, and business knowledge and skills in preparing you for leadership in health care informatics in a variety of positions within health care organizations. It provided me with a knowledge set that is required for a position in database management including AI. I intend to further pursue certifications in cyber-security. I believe that the knowledge gained in this program combined with cyber-security experience is sufficient for database management for Artificial Intelligence as it applies to the healthcare industry. This combined knowledge will position me for a career in the health care industry particularly with a career in database management for the Department of Public Health (DPH), Centers for Disease Control and Prevention (CDC), or the Veterans Affairs (VA). I am equally prepared and knowledgeable to demonstrate advanced clinical expertise based on nursing and related disciplines, provide leadership in integrating research into practice, utilize research based evidence as a foundation for practice in the healthcare industry, and apply information technology to enhance nursing education, practice, and research.
