Vital Signs

USHIK, the United States Health Information Knowledgebase, was a public registry from the Agency for Healthcare Research and Quality that let users find and compare the data elements in health care standards. The HIMSS Dictionary notes it is archived. This post explains what a metadata registry is, what USHIK held, why AHRQ archived it, and where the content can be found now.

An ad hoc query is a question put to a data source on demand, as opposed to a predefined, routine report. This post explains the HIMSS Dictionary definition, then reviews five studies: 609 researchers who ran 6,662 i2b2 queries, a survey of how users formulate EHR queries, a view-based design that cut storage by 59 percent, a test of cohort retrieval methods across 56 topics, and a Toronto self-service analytics rollout in which dashboard views rose from 90 to over 14,500 a month.

Biosurveillance is the ongoing work of collecting health signals, combining sources, judging what they mean, and passing findings to decision makers, across people, animals, and plants. This post explains the HIMSS Dictionary definition, then reviews five studies: natural language processing that beat ICD-10 codes at finding COVID-19 symptoms, a language-model topic tool applied to 1,841 VA notes, a survey of Korean government agencies, toxicology testing in six Minnesota emergency departments, and a Wisconsin overdose pilot.

A social network is a web of people and the connections between them, and the term also names the websites and apps where people with shared interests exchange information. This post explains the HIMSS Dictionary definition, then reviews five studies: a method paper on network analysis in nursing, a map of 136 military nurse scientists, a call for nurses as knowledge bridge builders, a survey of 164 nurses on trusted security sources, and a network analysis of cancer conversations on Twitter.

An indicator is a measurable variable that shows how closely care meets a standard or how much quality has been achieved. This post explains the HIMSS Dictionary definition, then reviews five 2026 studies: a Belgian primary care tool that translated 36 kidney disease quality indicators into 80 EMR queries and ended up with 14 on dashboards, a laboratory study of 51,072 test requests, a scoping review of how surgical volume data are collected, and two nursing Delphi studies that built indicator systems of 42 and 30 third-level indicators.

Demographic data describe the characteristics of a population, such as age, sex, race and ethnicity, and primary language. This post explains the HIMSS Dictionary definition, then reviews five studies: a pediatric emergency department study of 295 adolescent and caregiver pairs that found variable concordance between reported race and ethnicity and the EHR, an equity analytics review at a children’s hospital, a survey of 507 Maryland primary care practices, a study of sexual orientation data for transgender patients, and a risk model that improved when demographic and clinical data were added.

An electronic data capture (EDC) system is a computerized system for collecting clinical data in electronic form, used mainly in human clinical trials. This post explains the HIMSS Dictionary definition, then reviews five 2025 and 2026 studies: a multi-site assessment that found a manual transcription error rate of 8.23 percent versus none in an integrated EHR-to-EDC workflow, a site workflow study with five data managers, a cancer trial network evaluation, a FHIR-based transfer to REDCap, and a tablet-based EDC for pancreatic surgery patients.

Case mix describes the relative numbers and types of patients a healthcare organization treats, and it is used for planning, payment, and fair comparison. This post explains the HIMSS Dictionary definition, then reviews three 2026 studies: a neurotrauma documentation template that was followed by a higher case mix index and higher reimbursement per discharge, a Japanese study that built a case-mix adjustment model for patient experience scores, and a methods study of adjusting multidimensional patient-reported outcomes.

A patient registry is a database that identifies patients by condition, diagnosis, demographic characteristics, or other factors so that care can be coordinated and outcomes tracked. This post explains the HIMSS Dictionary definition, then reviews six sources: the fourth edition of the AHRQ registry user’s guide, an EHR-based oral disease registry of 229,249 patients, a Delphi consensus minimum dataset for a Long COVID registry, an on-site accuracy check of the European cystic fibrosis registry, a pipeline that links a national rare disease registry to a data warehouse, and a clinic screening registry that raised colorectal screening orders from 18.3 to 34.4 percent.

A web crawler is an internet bot that visits web pages one at a time and follows their links, usually to build an index or collect information. This post explains the HIMSS Dictionary definition and the Robots Exclusion Protocol, then reviews six sources: the IETF robots.txt standard, a crawler that gathered 12,156 regulatory alerts across 46 pages, 13,391 vaccine posts crawled in South Korea, a crawler that tracked new psychoactive substances, a crawler-based usability review of 42 fellowship websites, and a governance article on scraped clinical images.

Data aggregation is the work of gathering information, processing it, and presenting it as a summary. HIPAA also gives the term a specific meaning for business associates who combine data from more than one covered entity. This post explains both meanings, then reviews six sources: the HIPAA definition in 45 CFR 164.501, a landscape analysis of ways to collect patient data across providers and payers, a tokenization pilot linking records from two hospitals, an HIE-based COVID-19 cohort of 8,874 patients, a policy review of third-party aggregation companies, and a proposal for patient-held records as an alternative to central aggregation.

Data cleaning, also called data cleansing or data scrubbing, is the process of fixing or deleting data that are wrong, partial, badly formatted, or repeated, and of making sure the data in a storage resource are accurate. This post explains the HIMSS Dictionary definition, then reviews five sources: a study of duplicate patient records among 3,018,413 patients, a case study of merging two hospitals’ patient indexes, a pedigree deduplication method that automated 99.95 percent of processing, a correction for an inflated NHS adult population denominator, and a cleaning and imputation pipeline for postoperative ICU blood pressure data.

An Ambulatory Diagnostic Group, or ADG, is a method of categorizing outpatient episodes, and the HIMSS Dictionary points readers to the related ACG and APG systems. This post explains the HIMSS Dictionary definition, then reviews six sources: two Ontario cohort studies of ADGs predicting one-year mortality, a diabetes cohort in Zaragoza, an Italian regional cost study, a Norwegian validation of ACG risk scores, and a study of prescription fill rates added to ACG-based models.

Variance analysis is the process of computing the differences between actual and budgeted or targeted levels of performance and identifying their causes. This post explains the HIMSS Dictionary definition, then reviews five sources: a study of whether surgeons or hospitals drive cost variance in lumbar fusion, an analysis of how inflation affects Dutch hospital margins, an operational dashboard from a proton therapy center, a costing model that expresses time uncertainty as intervals, and a project-control method that predicts cost and schedule variance.

A system of record is the authoritative data source for a given data element or piece of information. This post explains the HIMSS Dictionary definition and reviews four sources: the HL7 FHIR Provenance resource, a viewpoint on where genomic findings should live in the EHR, a pipeline that handled mixed-format data for a registry study of 94 participants, and a case study of Lithuania’s centralized national digital health platform.

Metadata is structured information that describes other data to make it easier to retrieve, use, or manage. The HIMSS Dictionary names three main types: descriptive, structural, and administrative. This post explains the definition and each type, then reviews five sources: a study of standards and tools for secondary use of health data under FAIR principles, a CT series labeling system built because DICOM metadata are often incomplete, a DICOM framework that checks metadata against image content, an LLM workflow for metadata annotation, and a curation framework for brain tumor MRI data.

Social media monitoring is the use of social media channels to track, gather, and mine information about individuals or groups, usually organizations, to assess their reputation and how they are perceived online. It is also called social media listening. This post explains the HIMSS Dictionary definition, then reviews five sources: a scoping review of 60 studies on social media for drug safety, 91 South African social listening reports on COVID-19 misinformation, a study of questions about vulvar cancer, an analysis of 23,580 posts on diabetes drugs, and a scoping review of digital strategies against vaccine misinformation.

Web analytics is the process of analyzing how visitors behave on a website, usually to attract and keep more of them. This post explains the HIMSS Dictionary definition and the common metrics, then reviews five sources: a 58-month study of a scoliosis education site with more than 2.3 million users, a digital health platform evaluated with web analytics and RE-AIM, a Canadian outbreak notice study, and two studies of tracking technologies on hospital websites that raise privacy concerns.

Optical character recognition, or OCR, is technology that scans printed or written text, analyzes the image, and converts the characters into codes a computer can use. This post explains the HIMSS Dictionary definition and reviews four sources: automated processing of scanned outside medical records, an AI OCR system that drafts bone density reports, a pipeline for handwritten prescriptions, and a benchmark of visual language models on clinical trial forms.

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware, with large storage, processing power, and the ability to run many tasks at once. This post explains the HIMSS Dictionary definition and reviews five sources: a platform for patient classification built on the Hadoop ecosystem, a Hadoop and PySpark framework for genomic studies, a systematic review of big data analytics in healthcare, a test of clinical data on HDFS and HBase, and a 2026 look at the move from Hadoop to cloud and AI.