CCI key terms

The interdisciplinary field that applies health information technology and data science to support clinical care, decision-making, and the delivery of safe, effective, patient-centered healthcare across settings.

The combined set of hardware, software, networks, interfaces, and governance structures within a healthcare organization that together support clinical, administrative, and financial operations and information exchange.

A longitudinal, digital record of a patient's health information shared across care settings and clinicians, designed to support coordinated, continuous care rather than a single encounter.

A digital record maintained by a single organization or practice documenting care delivered within that setting, typically narrower in scope than an EHR and not designed for cross-organizational sharing.

The sequence of tasks, decisions, roles, and handoffs involved in delivering a clinical service, including the timing, information needs, and constraints that shape how work actually gets done.

A structured method of observing and mapping how clinical work is performed, identifying steps, actors, information flows, and bottlenecks to inform system design and process improvement.

A visual technique that diagrams each step of a process, showing decision points, inputs, outputs, and responsible roles so teams can identify waste, redundancy, and improvement opportunities.

The extent to which a system can be used by specified users to achieve goals effectively, efficiently, and with satisfaction in a specified context of use, including safety-related use errors.

The study of how people interact with systems, tools, and environments, applying knowledge of cognition, ergonomics, and behavior to design technology and processes that reduce error and support performance.

A system that allows clinicians to enter orders for medications, laboratory tests, imaging, and other services electronically, replacing handwritten orders and enabling structured, checkable order data.

An integrated process in which prescribing, dispensing, administration, and monitoring are electronically linked and verified, so each step is documented and reconciled against the prior step for safety.

A point-of-care safety technology in which clinicians scan a patient's identification band and the medication barcode to verify the right patient, drug, dose, route, and time before administration.

A set of tools and knowledge resources, such as alerts, order sets, reference information, and calculators, that give clinicians and patients person-specific information to enhance health and care decisions.

The desensitization that occurs when clinicians receive excessive or low-value warnings, leading them to override or ignore alerts and thereby reducing the effectiveness of safety-critical decision support.

The systematic process of capturing, validating, maintaining, and distributing clinical knowledge so that decision support content and organizational guidance remain current, evidence-based, and accessible.

A systematically developed statement that synthesizes evidence to assist clinicians and patients in making decisions about appropriate care for specific clinical circumstances, often translated into order sets or rules.

A standardized, preconfigured group of orders and related decision support for a common clinical scenario, designed to reduce variation, prompt evidence-based actions, and streamline ordering.

The ability of different information systems, devices, and applications to access, exchange, integrate, and cooperatively use data in a coordinated manner within and across organizations.

The electronic movement of health-related information among organizations according to nationally recognized standards, as well as the organizations and networks that enable that exchange.

A standard framework for exchanging healthcare information electronically, using modular resources and modern web technologies such as RESTful interfaces to enable flexible, developer-friendly interoperability.

A controlled vocabulary or code system, such as SNOMED CT or LOINC, that provides consistent, unambiguous representation of clinical concepts so data can be shared, aggregated, and interpreted reliably.

The organizational framework of roles, policies, standards, and decision rights that ensures health data is accurate, secure, available, and used appropriately across the enterprise.

The degree to which health data is complete, accurate, timely, consistent, and fit for its intended use, affecting clinical decisions, reporting, and analytics reliability.

U.S. federal law establishing national standards for protecting individually identifiable health information and for the privacy and security of electronic health data held by covered entities and business associates.

Individually identifiable health information held or transmitted by a covered entity or business associate in any form, including demographic data that could reasonably identify an individual.

A HIPAA principle requiring covered entities to limit the use, disclosure, and request of protected health information to the least amount reasonably needed to accomplish the intended purpose.

A security model that grants system permissions according to a user's job function or role rather than to individuals, simplifying administration and supporting least-privilege access to health information.

A chronological, tamper-resistant record of system activity that captures who accessed or modified what data and when, supporting security monitoring, forensic investigation, and regulatory compliance.

A systematic, data-driven approach to continuously improving healthcare processes and outcomes, often using frameworks such as PDSA cycles, to reduce variation and close performance gaps.

The discipline of preventing, reducing, and mitigating harm to patients during healthcare delivery, encompassing system design, error reporting, and a culture of safety and learning.

A structured retrospective method for investigating adverse events by tracing contributing factors and system failures, aiming to identify underlying causes and prevent recurrence rather than assign blame.

An iterative quality improvement method in which a change is planned, tested on a small scale, studied for its effects, and then acted upon through adoption, adaptation, or abandonment.

The structured approach to guiding individuals and organizations through transitions to new systems or processes, addressing communication, training, resistance, and adoption to sustain successful implementation.

The deliberate process of identifying and involving individuals and groups affected by a change, gathering their input and building ownership to support acceptance and successful adoption.

The study of methods and strategies that promote the systematic uptake of evidence-based practices and technologies into routine care, examining context, barriers, and facilitators to adoption.

The application of data aggregation and analysis to groups of patients to identify risk, stratify care, track outcomes, and target interventions that improve health across a defined population.

The practice of guiding informatics strategy, governance, teams, and resources to align health IT investments with clinical priorities, safety, and organizational goals while managing competing demands.