interdisciplinary field that involves the study, design, development, implementation, and management of information systems and technology to solve problems and enhance decision-making across various domains

set of interconnected components that collect, process, store, and distribute information to support decision-making, coordination, control, analysis, and visualization in organizations

5 Type of Information Systems

responsible for inputting data, making decisions, and using the information provided by the system

activities and procedures that govern how information is collected, processed, stored, and disseminated within an organization

raw facts and figures that are collected and stored within the information system

processed data that has been organized, analyzed, and interpreted to provide value and support decision-making

encompasses the hardware, software, networks, and infrastructure that enable the collection, processing, storage, and distribution of information within the system

study of computation, algorithms, data structures, and the design and analysis of algorithms

sets of instructions used to solve specific problems or perform specific tasks

define how data elements are arranged, how they can be accessed and manipulated, and what operations can be performed on them

2 Types of Computer Science

6 Types of Information Systems

system that record and process transactions, such as sales, purchases, and inventory updates, in real-time to support day-to-day operations

systems that provide managers with reports and summaries of operational data to support planning, control, and decision-making at the middle management level

systems that help users analyze data, evaluate alternatives, and make informed decisions by providing interactive tools, modeling techniques, and access to internal and external information

systems that provide top-level executives with strategic information and ad-hoc analysis to support long-term planning, goal setting, and performance monitoring

systems that integrate core business processes, such as finance, human resources, supply chain management, and customer relationship management, into a unified platform to streamline operations and improve efficiency

systems that designed to facilitate the creation, organization, storage, retrieval, sharing, and utilization of knowledge and expertise within an organization

branch of medical science that focuses on the study of biological processes and their relationship to human health and disease

to understand the structure and function of the human body at the molecular, cellular, and organ levels

investigates the causes, mechanisms, and progression of diseases

contributes to the development of diagnostic tools, medical imaging, techniques, pharmaceuticals, and therapeutic interventions to prevent, diagnose, and treat various diseases

studying disease patterns, risk factors, preventive measures to improve population health and reduce burden of diseases

intersects with engineering disciplines to develop medical devices, prosthetics, diagnostic equipment, and healthcare technologies to enhance patient care and improve medical outcomes

anatomy is the study of the structure of the human body, including organs, tissues, and systems, while physiology focuses functions and processes that occur within functions and processes that occur within living organisms

explores the chemical processes and molecular mechanisms underlying biological functions, including metabolism, gene expression, and cellular signaling

study of microorganisms, including bacteria, viruses, fungi, and parasites, and their interactions with humans, environment, and other organisms

investigates the immune system's structure, function, and response to pathogens, allergens, and foreign substances, as well as its role in autoimmune diseases and cancer

examines the inheritance and variation of genes within populations, while genomics studies the structure, function, and evolution of genomes, including genes, non-coding DNA, and epigenetic modifications

investigates the effects of drugs and chemicals on biological systems, including mechanisms of action,therapeutic uses, side effects, and drug interactions

involves the study of disease processes, including their causes, mechanisms, manifestations, and effects on tissues and organs, often through the examination of tissue samples and autopsy specimens

examines the distribution, determinants, and patterns of diseases within populations, as well as the factors influencing disease occurrence and spread

integrates principles of engineering and biology to develop medical devices, prosthetics, diagnostic tools, and healthcare technologies to improve patient care and outcomes

Bioinbiapplies computational and statistical techniques to analyze biological data, including genomic sequences, protein structures, and gene expression profiles, to derive insights into biological processes and diseases

process of using digital technologies to transform traditional analog processes, systems, and services into digital formats. It involves the conversion of data, information, and workflows into digital form, enabling more efficient storage, processing, analysis, and communication

converting analog data such as text, images, audio, and video, into digital formats that can be stored, manipulated and transmitted electronically

redesigning processes, organizational structures, and service delivery models to leverage digital technologies and capabilities

using automation technologies and artificial intelligence algorithms to perform repetitive tasks, analyze data, and make decisions without human intervention. It also enables greater efficiency. scalability, and consistency in operations, while Al enhances the capabilities of digital systems through machine learning, natural language processing, and computer vision

to facilitate real-time communication, collaboration, and information sharing among individuals and organizations

Harnessing the power of big data analytics and data science techniques to extract actionable insights, patterns, and trends from large volumes of data

Connecting physical devices, sensors, and machines to the internet to collect, exchange, and analyze data in real-time

Implementing measures to protect digital assets, information systems, and user data from unauthorized access, cybertracks, and data breaches

refers to the integration of digital technologies, data-driven approaches, and computational methods into various aspects of biomedical research, healthcare delivery, and patient care. It involves leveraging digital tools and techniques to collect, analyze, interpret, and disseminate biomedical data, with the aim of improving understanding, diagnosis, treatment, and management of diseases.

to collect, store, manage, and analyze healthcare data, including electronic health records (EHRs), medical imaging, genomic data, and patient-generated data from wearable devices and mobile apps.

extract insights, identify patterns, and predict outcomes. These techniques can help researchers and healthcare providers uncover new biomarkers, discover novel drug targets, and develop personalized treatment strategies.

which use genomic, proteomic, and other molecular data to tailor medical treatments to individual patients. By analyzing large datasets of patient information, researchers can identify genetic variants, biomarkers, and therapeutic targets that inform personalized treatment decisions.

enabling the storage, sharing, and analysis of images in digital formats. This allows for more efficient image interpretation, remote consultation, and computer-aided diagnosis using Al algorithms.

enables the delivery of healthcare services remotely through telemedicine platforms, video consultations, and virtual care programs. Additionally, remote monitoring technologies, such as wearable devices and home-based sensors, allow for continuous monitoring of patients' health status and early detection of changes or deterioration.

provide healthcare providers with evidence-based guidelines, decision-making tools, and alerts to improve diagnostic accuracy, treatment selection, and patient outcomes.

providing secure platforms for data exchange, collaborative research projects, and knowledge sharing. This accelerates scientific discovery, fosters innovation, and enhances patient care.