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What is Health Informatics?

By George Mason University College of Public Health · more summaries from this channel

2 min video·en··42714 views

Summary

Health informatics integrates health data with technology to improve patient outcomes through a cycle of data creation, storage, analysis, and application.

Key Points

  • Health informatics serves as the interface between health and technology, using patient data to enhance healthcare outcomes. 
  • The data lifecycle consists of four steps: creation, storage in EHRs, analysis, and dissemination of results to providers. 
  • Patient information—including symptoms, diagnoses, treatments, and personal details—is recorded by professionals or smart sensors and stored in Electronic Health Record (EHR) systems. 
  • Advanced analytics, machine learning, and artificial intelligence are applied to EHR data to uncover patterns and make predictive assessments. 
  • Informatics can assess and predict risks for diseases such as anemia and diabetes, and can detect previously undiagnosed substance use. 
  • Predictive models can estimate a patient’s likelihood of readmission within 30 days and forecast reactions to specific medications. 
  • Health informatics extends beyond hospitals to administrative settings and personal health apps, exemplified by the concept of "prescribing an app." 
  • Mobile and fitness apps enable individuals to track health metrics, providing valuable data for both patients and clinicians. 
  • George Mason University offers health informatics programs that combine theoretical learning with hands‑on experience in clinics and research. 
  • Graduates from these programs are prepared to drive innovation and shape the future of the healthcare industry. 
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What is Health Informatics?

What is Health Informatics?

Health informatics integrates health data with technology to improve patient outcomes through a cycle of data creation, storage, analysis, and application.

Key Points

Health informatics serves as the interface between health and technology, using patient data to enhance healthcare outcomes.
The data lifecycle consists of four steps: creation, storage in EHRs, analysis, and dissemination of results to providers.
Patient information—including symptoms, diagnoses, treatments, and personal details—is recorded by professionals or smart sensors and stored in Electronic Health Record (EHR) systems.
Advanced analytics, machine learning, and artificial intelligence are applied to EHR data to uncover patterns and make predictive assessments.
Informatics can assess and predict risks for diseases such as anemia and diabetes, and can detect previously undiagnosed substance use.
Predictive models can estimate a patient’s likelihood of readmission within 30 days and forecast reactions to specific medications.
Health informatics extends beyond hospitals to administrative settings and personal health apps, exemplified by the concept of "prescribing an app."
Mobile and fitness apps enable individuals to track health metrics, providing valuable data for both patients and clinicians.
George Mason University offers health informatics programs that combine theoretical learning with hands‑on experience in clinics and research.
Graduates from these programs are prepared to drive innovation and shape the future of the healthcare industry.
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