Vital Signs

A personal health record (PHR) is an electronic record of health information that the individual, rather than a provider, owns, manages, and controls. This post explains how PHRs differ from EHRs and patient portals, tethered versus standalone PHRs, who protects PHR data, how APIs reshaped the market, and how nurses help patients use them.

Natural language processing (NLP) is the branch of artificial intelligence that helps computers understand and work with human language. This post explains how NLP extracts meaning from clinical notes, where it is used in healthcare, how large language models and ambient documentation are changing the field, and why accuracy, bias, and human review still matter.

HL7 Version 2 (HL7 V2) is the widely implemented healthcare messaging standard that carries admissions, orders, results, and other events between clinical systems. This post explains how V2 messages, segments, and trigger events work, why the standard remains so common, its weaknesses, and how it compares with FHIR.

De-identified health information is health data from which identifiers have been removed so that it cannot reasonably be linked to an individual, and under HIPAA it is no longer protected health information. This post explains HIPAA’s Safe Harbor and Expert Determination methods, how de-identified data differs from a limited data set, and why re-identification risk still matters.

Under the HIPAA Privacy Rule, consent is an optional permission a patient may give for a provider to use and disclose health information for treatment, payment, and health care operations. This post explains how HIPAA consent differs from consent for treatment and from authorization, where 42 CFR Part 2 and state laws add requirements, and how EHRs track patient choices.

Authentication is the process of proving that a user, device, or message is genuine before access is granted. This post explains authentication factors, multifactor authentication, NIST assurance levels, HIPAA’s person or entity authentication standard, the difference between authentication and authorization, and how hospitals balance security with speed for nurses.

A workstation on wheels (WOW) is a mobile computer cart that clinicians move between patient rooms so they can document and scan at the point of care. This post explains why WOWs matter for safety and accurate documentation, the practical issues of batteries, cleaning, ergonomics, and security, and what nurses need from them during Go-Live and every shift.

Structured data is information recorded in defined fields using standard codes so that computers can store, exchange, and act on it. This post explains how structured data differs from free text, why it powers decision support, quality measures, and interoperability, the tension with narrative documentation, and how nurses can capture it without adding burden.

Project management is the set of principles, methods, and tools used to plan, schedule, and control work so that a project delivers its goals on time, within budget, and at the expected quality. This post explains the project life cycle, the triple constraint, common tools, why health IT projects fail, and how nurses contribute.

A medical device is any instrument, machine, implant, reagent, software, or similar product intended to diagnose, prevent, monitor, or treat disease or injury without acting mainly through chemical or metabolic means. This post explains what qualifies, how FDA classifies devices and software, how devices connect to the EHR, and why nurses’ reporting matters.

In health IT, implementation is the process of installing a new system and making sure it works correctly in the real environment where people use it. This post walks through the phases of an implementation, explains why they fail, describes what research says about unintended consequences, and shows how nurses make Go-Live safer.

A data warehouse is a central store that pulls data from transactional systems such as the EHR, combines it, and organizes it for reporting and analysis across the organization. This post explains how warehouses work, how they differ from data marts and data lakes, how common data models support research, and why nurses should care about the definitions behind the reports they see.

Cybersecurity is the practice of protecting computers, networks, and electronic information by preventing, detecting, and responding to attacks and unauthorized access. This post explains the core concepts, the NIST and HHS frameworks healthcare uses, why cyberattacks are patient safety events, and the everyday practices that make nurses part of the defense.

Analytics is the use of mathematics, statistics, predictive modeling, and machine learning to find meaningful patterns in recorded data. This post explains the four types of analytics, how healthcare organizations use them, what can go wrong when models are poorly validated or built on biased proxies, and why nursing documentation is the raw material for so much of it.

A unique device identifier (UDI) is a code on a medical device’s label that identifies the specific device model and, when applicable, its lot, serial number, and dates. This post explains how FDA’s UDI system works, what the device and production identifiers contain, how UDIs flow into the EHR and national databases, and why perioperative nurses scan them.

The systems development life cycle (SDLC) is the structured sequence of phases an information system moves through, from planning and requirements to design, build, testing, implementation, maintenance, and eventual retirement. This post explains each phase, compares waterfall and agile approaches, shows how the SDLC maps to EHR implementations, and explains where nurses contribute.

A prescription drug monitoring program (PDMP) is a state-run electronic database of controlled substance prescriptions that prescribers and pharmacists can check before prescribing or dispensing. This post explains how PDMPs work, what federal and state requirements apply, why EHR integration matters, and how nurses and advanced practice nurses use PDMP information.

A master patient index (MPI) is the system that identifies each patient and links their records within an organization, while an enterprise MPI does the same across many facilities. This post explains how MPIs and matching algorithms work, why duplicates and overlays are patient safety risks, what research shows about mismatched data, and how nurses help protect patient identity.

Health literacy is the ability of people to find, understand, and use health information to make decisions, and the responsibility of organizations to make that possible. This post explains personal and organizational health literacy, what research shows about outcomes, and how teach-back, plain language, and thoughtful health IT design help patients understand their care.

The electronic medication administration record (eMAR) is the part of the EHR where nurses see which medications are due and document each dose given, held, or refused. This post explains how the eMAR connects to CPOE, pharmacy verification, and barcode scanning, what research shows about its safety benefits, and what nurses need from it during every medication pass.