| Health Data Analysis | The process of examining, cleaning, transforming, and modeling health data with the aim of discovering useful information, suggesting conclusions, and supporting decision-making. |
| Predictive Healthcare Analytics | A branch of analytics that involves the use of historical data, machine learning, and algorithms to predict future outcomes within the healthcare sector. |
| Electronic Health Records (EHR) | Digital versions of patients’ paper charts. They contain patients’ medical history, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, and laboratory test results. |
| Health Information Technology (HIT) | The application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, data, and knowledge for communication and decision-making. |
| Clinical Data Analysis | The process of applying statistical and logical techniques to evaluate and improve the quality and efficiency of clinical care. |
| Healthcare Data Privacy | The practice of maintaining the confidentiality and availability of patient information. This involves handling, storing, and transmitting patient data in a manner that complies with all legal, ethical, and professional standards. |
| Big Data in Healthcare | Refers to the vast quantities of information created by the digitization of everything, that gets consolidated and analyzed by specific technologies. Applied to healthcare, it will use specific health data of a population (or of a particular individual) to potentially help prevent epidemics. |
| Medical Data Processing | Involves the handling, organizing, and analyzing of data obtained from various sources (including EHRs, medical imaging, genomic sequencing, payor records, pharmaceutical research, wearables, and medical devices). |
| Health Data Visualization | The representation of health data in a visual context, like a chart, diagram, picture, to help healthcare professionals understand complex data sets and to provide an accessible way to see and understand trends, outliers, and patterns in data. |
| Healthcare Business Intelligence | Refers to the use of data analysis tools and processes by healthcare organizations to make informed decisions that improve patient care, reduce costs, and streamline operations. |
| Health Information Systems | A comprehensive, integrated information system designed to manage the administrative, financial, and clinical aspects of a hospital or healthcare facility. |
| Personalized Healthcare Treatment | A medical model that proposes the customization of healthcare, with medical decisions, practices, or products being tailored to the individual patient. |
| Health Data Regulations (HIPAA, GDPR) | Set of regulations like HIPAA (Health Insurance Portability and Accountability Act) and GDPR (General Data Protection Regulation) that govern the use, sharing, and protection of personal health information. |
| Healthcare Machine Learning | The use of algorithms and statistical models by computers to perform tasks without using explicit instructions, relying on patterns and inference instead. It’s used in healthcare for various applications including treatment recommendation, disease identification, and personalized treatment. |
| Health Data Mining | The process of examining large databases to generate new information and predict future trends and behavior patterns, often with the aid of machine learning and other data analysis methods. |
