Rapid delirium screening form (4AT) for acute care, enabling structured, reusable cognitive assessment data capture.

Designed to capture key information about an individual’s needs and preferences to support personalised care.

A comprehensive framework for healthcare professionals to assess, document, and monitor the patient’s alcohol consumption patterns

A 10-item screening tool designed to identify individuals with harmful patterns of alcohol consumption.

A simple example template to document a patient's known allergies and adverse reactions, including substance, reaction type, and severity.

The Alvarado score estimates the likelihood of acute appendicitis using symptoms, signs, and laboratory findings to support clinical decision-making.

The AIR score evaluates the probability of acute appendicitis by combining symptoms, clinical findings, and inflammatory markers to support diagnosis and triage.

Estimates major bleeding risk in atrial fibrillation patients receiving anticoagulation.

Assesses stroke risk in atrial fibrillation.

Calculates total body bicarbonate deficit in metabolic acidosis using weight and serum bicarbonate.

Sparkline graph with colour-coded interpretation of high and low values, including coverage for extreme deviations outside the sparkline area. Colour-coded stratification chart showing historical data of the last five values and the current value. Customizable reference range for parameter interpretation. Trend arrow to compare current and previous value. Handling of negative data value scenarios, such as not entered data, invalid, and expired data. Support for double parameters, specifically blood pressure Horizontal or vertical layout.

Example of a basic BMI assessment form.

Estimates Body Surface Area (BSA) using Mosteller formula.

A clinical assessment tool used to determine a patient's risk of developing pressure ulcers.

An openEHR-based form for documenting a structured respiratory assessment in Better Studio, capturing breathing characteristics, observation context, and respiratory distress indicators.

A 4-item screening tool designed to identify potential alcohol use disorder.

Estimates low-density lipoprotein cholesterol (LDL-C) using total cholesterol, HDL-C, and triglyceride values.

Cardiology risk & assessment bundle

Helps to determine the need for anticoagulation therapy in patients with atrial fibrillation.

Evaluates pneumonia severity using simple clinical criteria to support triage, site-of-care decisions, and referral.

A structured openEHR template for CRB-65 severity scoring in patients with suspected pneumonia.

Estimates creatinine clearance from age, body weight, sex, and serum creatinine to assess renal function and guide medication dosing.

Stratifies bleeding risk in patients with NSTEMI.

Evaluates the severity of community-acquired pneumonia using five clinical and laboratory criteria to support triage and treatment decisions.

Structured referral form for submitting complete clinical information to diabetic specialist nurses for timely, coordinated care.

Structured openEHR referral template for diabetes specialist nurse.

Supports a diabetic specialist nurse referral management service

An openEHR-based prefilled form designed for use during the Better Buildalong episode 2 to demonstrate worklist creation.

Returns key fields from completed DSN referral forms, including diabetes type, referral reason and priority, and patient identifiers — to support referral worklist population and triage.

A column-based worklist that displays diabetic patient referral information.

Calculation of the estimated average glucose (eAG) from a patient’s HbA1c value.

Assesses how well a patient with serious illness can tolerate treatment, especially chemotherapy.

Assesses symptoms of patients receiving palliative care.

Tools for triage and acute decision-making in emergency care

Clinical tools for endocrine and metabolic care

ESAS-r form with interactive slider inputs.

A screening form to estimate an individual's 10-year risk of developing type 2 diabetes without laboratory testing.

A customisable gauge chart widget designed to visually represent numeric health indicators, such as Body Mass Index (BMI), using coloured segments to indicate value ranges. Ideal for dashboards and patient summaries requiring at-a-glance interpretation of key metrics.

For assessment of the severity of generalised anxiety disorder (GAD).

Coma severity based on Eye (4), Verbal (5), and Motor (6) criteria

GRACE score (admission)

openEHR template for the GRACE discharge score. Estimates post-ACS mortality risk using clinical and lab variables.

For assessment of the risk of major bleeding in patients with atrial fibrillation who are undergoing anticoagulation therapy

Chest pain risk stratification tool

Calculates both ideal body weight (IBW) and adjusted body weight (AdjBW) using the Devine formula

An openEHR-based form for capturing the Karnofsky performance status (KPS) scale in Better Studio, supporting structured documentation of patient functional status in oncology, palliative care, and related settings.

Returns the most recent body mass index (BMI) and body weight recorded for a patient, as captured in the patient summary, identified by their EHR ID (electronic health record identifier). BMI is a derived measure calculated from height and weight and is commonly used to assess nutritional status and body composition in clinical practice, while body weight represents the patient's measured mass at the time of assessment.

The most recent National Early Warning Score 2 (NEWS2) recorded for the patient, identified by their EHR ID (electronic health record identifier). NEWS2 is an aggregate early warning score used in hospital settings to identify patients at risk of clinical deterioration. It is calculated from routinely measured vital signs, including respiratory rate, oxygen saturation, blood pressure, pulse, level of consciousness, and body temperature.

Calculates maintenance intravenous fluid requirements based on patient weight using standard formulas.

A quick and validated screening tool designed to identify adults who are at risk of malnutrition.

openEHR template for recording Mayo Score components in ulcerative colitis. Supports disease activity assessment and IBD monitoring.

openEHR template for recording the MSKCC/Motzer risk score in metastatic renal cell carcinoma — supports prognostic assessment and oncology documentation.

This form is an example mental health assessment template designed to capture structured clinical data.

openEHR template for structured mental health assessments. Covers history, mental state, capacity, risk, and PHQ-9 screening across clinical settings.

Identifies patients at risk for pressure ulcers.

An openEHR-based form for capturing the Murray score in Better Studio, supporting structured documentation of acute lung injury severity in mechanically ventilated patients in intensive care.

Assesses acute illness severity using vital signs to identify patient deterioration and support escalation of care.

Basic tools for kidney assessment, urinalysis, fluid management, and dialysis documentation.

openEHR template for structured NIHSS stroke severity assessment.

Used to identify patients who are malnourished or at risk of malnutrition.

Classify heart failure symptom severity

Selected assessment and calculation tools for oncology care.

openEHR template for structured oral cavity examination findings

Calculates cumulative tobacco exposure in pack years from a patient's smoking history.

This widget provides a compact, clinically focused visualisation of longitudinal parameter data. It combines a sparkline trend graph with colour-coded interpretation to highlight high and low values, including extreme deviations outside the visible sparkline range. A stratification chart displays the last five historical values alongside the current result, enabling quick pattern recognition. The widget supports a configurable reference range to align interpretation with local clinical standards. A directional trend arrow indicates whether the current value has increased, decreased, or remained stable compared with the previous measurement. The widget also manages negative data scenarios, including not entered, invalid, or expired values, ensuring clear and safe display behaviour. It supports double parameters, such as systolic and diastolic blood pressure, and can be configured in either horizontal or vertical layout to suit different user interface designs.

Show key patient identifiers in a clear and consistent way throughout the application. Customize the order of identifiers, use the color-coded gender symbol, set the date format and start building patient banners. Available in three sizes.

An openEHR-based form for capturing PHQ-9 responses and assessing depressive symptom severity

The Prescription History List widget provides a clear, scrollable overview of a patient’s current and past prescribed medications in one consolidated view. It supports structured display of key prescribing information, including medication name, daily or non-daily dosing, quantity, unit, repetition interval, descriptive instructions, and treatment period (start and end dates in ISO format). The widget can be configured to match different interface needs, with options for clickability, language (ISO 639-1 code), adjustable height and width, background styling, and custom messaging when no data is available. A shared data source (such as an API call) can be defined, ensuring consistent data retrieval across all listed medications. Presets allow rapid setup and demonstrate example configurations that can be adapted to specific workflows.

25+ clinically validated primary care tools across 6 segments: vital signs, metabolic risk, cardiovascular, diabetes, mental health, and lifestyle.

Screens for sepsis risk using simple bedside criteria to identify patients at higher risk of poor outcomes.

RASS form for assessing level of sedation and agitation in critically ill patients.

Form for structured capture of remote patient monitoring data on basic vital signs and current patient conditions while at home.

openEHR template for structured remote patient monitoring

This AQL view retrieves vital sign data recorded for a specified patient, identified by their EHR ID, within compositions named 'Remote monitoring'. It returns temperature, body weight, height/length, body mass index (BMI), and systolic and diastolic blood pressure values, together with the composition timestamp and EHR identifier. Results are ordered in reverse chronological order so that the most recent observations appear first. This view was created as part of the Better Studio building hour webinar on Hive and is included in the Remote patient monitoring bundle, where it supports the display of patient monitoring data within configured widgets.

The Remote patient monitoring bundle brings together the resources that were built and demonstrated during episode 4 of the Better Studio building hour on Hive (https://hive.better.care/course/clinical-widget-configuration-and-use). It groups an openEHR template, a patient data entry form, and a set of AQL views that together illustrate how a structured remote monitoring workflow can be implemented in Better Studio. The bundle aims to support both learning and practical adoption by providing a working, end-to-end example of how templates, forms, and widgets interact within a monitoring use case.

A collection of respiratory assessment forms, scoring tools, spirometry records, and supporting calculators for structured pulmonary care.

Estimates perioperative cardiac risk.

The Score and Scale Value widget presents individual results from structured assessments, clinical scores, or rating scales in a concise and visually stratified format. It highlights a single value and associates it with a predefined risk category, using colour coding to support rapid interpretation. The widget can display numeric or text-based results and optionally includes contextual elements such as trend direction, risk label text, assessment date, and completion status. The appearance and behaviour are fully configurable. Users can define the language (ISO 639-1), widget size (small to extra-large), vertical layout for narrow columns, and loading state. Risk levels (low, low_medium, medium, high) are visually distinguished, and optional trend arrows indicate change over time. Tooltips can be enabled with a required title and optional description, and additional configuration allows control over date formatting, time-since display, click events, horizontal alignment, and data sourcing.

Stratification chart showing the historical data of the last five values and the current value. Score display without stratification, accompanied by a sparkline. Unified colour coding system using four colours (grey, yellow, orange, and red) to indicate different levels of severity. Customizable names for each level of severity. Results can be displayed as either a numeric value or categorized into levels of severity. Option to show just the score value alone or just the name of the level of severity. Trend arrow to compare current and previous value. Handling of negative data value scenarios, such as incomplete score, invalid and expired data. Horizontal or vertical layout.

Simple selectable card list view that supports expanded view.

Scores organ dysfunction across six systems to assess severity and prognosis in critically ill patients.

Serum osmolality form to compare calculated and measured values, helping assess hydration, metabolism, and unmeasured osmoles.

The Simple Line Chart widget displays data over time using one or more clear line graphs. Each line can be configured with a name, colour, and a list of data points defined by X and Y values. It supports both line and scatter display types and allows basic control of the Y-axis range, grid lines, chart height, and language (ISO 639-1 standard). An optional toggle enables switching between linear and logarithmic scales. Presets are available to help you quickly understand and adapt the setup.

The Simple List widget is a configurable component designed to display structured data in a compact card view with the option to expand into a more detailed view. It supports flexible UI configuration, structured data rendering, notifications, search functionality, and both table and list display modes. The widget is suitable for presenting clinical documents, reports, observations, activity logs, or any structured dataset where users may first require a concise overview and then the ability to explore further detail. It consists of two primary presentation layers: Card view (compact) – provides a summary list of items. Expanded view (detailed) – displays full record details using either table or list layouts. The configuration separates UI behaviour from data structure, allowing independent control of presentation and content.

A read-only trend view displaying FEV1 and FVC % predicted values over time, for use alongside the spirometry result entry form.

Groups together the tools needed to record, store, and visualise spirometry measurements over time in patients with chronic respiratory conditions.

openEHR template for structured spirometry and peak flow result recording.

A structured form for recording spirometry results with a basic predicted value calculation to demonstrate reference value integration

A structured form for recording spirometry results without integrated GLI reference value calculations

Line chart widget derived from the simple line chart widget, preconfigured to display FEV₁ % predicted and FVC % predicted over time. Supports linear and logarithmic Y-axis scale modes and interactive zoom controls. Data is supplied dynamically via the spirometry_trend_overview data connector and a bundled preset. Configurable Y-axis range with a default minimum of 50 to suit typical adult spirometry values.

Evaluates patient substance use patterns.

The Time Series Table widget displays measurements over a defined period in a structured, scrollable table format. It allows multiple parameters to be organised by rows and dates, making it easy to compare values across time. Data can be grouped, expanded, collapsed, and styled with risk classes, reference ranges, and formatted value presentations. The widget supports dynamic data sources, configurable date ranges, zoom and collapse controls, and optional default data.

The Task Prioritisation widget helps manage and visualise task urgency based on due dates, reassessment intervals, and configurable warning thresholds. It automatically calculates task status from a reference date and defined intervals, applying colour coding to indicate urgency and improve visibility. The widget supports both full and compact display modes, optional display of the last assessment date, and configurable date formatting. It can also manage recurring tasks through reassessment intervals and “soon” warning periods. Data can be set manually or sourced dynamically.

The Run Chart widget enables visual tracking of clinical or operational data over time using interactive stacked line or scatter charts. It is designed to support trend analysis, comparison of multiple datasets, and time-based monitoring within a single visual component. Users can scroll, zoom, hover to view precise timestamps and values, and switch between linear and logarithmic scales where appropriate. The widget offers flexible visual configuration, including control over axis labels and grid lines, chart type (line or scatter), X-axis label position, language (ISO 639-1 standard), and custom text for empty datasets. Each chart can be individually configured with defined units, scale minimum and maximum values, logarithmic base, interpretation settings with reference ranges, and datapoint label visibility. Data can be dynamically sourced (e.g. via API) or manually defined, supporting multiple charts within one widget instance.

Supports assessment and monitoring of tobacco use and readiness to change.

Structured form for recording physical and chemical urinalysis findings.

Structured request form for urine testing.

A structured form for recording an individual's vaping history, substance use, and episode-level detail.

The Visual or numeric scale slider widget allows users to select and display a value within a defined range by dragging a control along a horizontal bar. The selected value updates instantly, providing immediate visual feedback. The widget can be configured with custom minimum and maximum values, step increments, optional fixed steps, and a display title. Additional settings control whether the scale and title are visible and whether the track fills up to the selected value. The slider value can be set manually or sourced dynamically.

Basic vital signs assessment form for capturing routinely measured physiological parameters in clinical practice.

openEHR template for structured vital signs documentation across a wide range of clinical settings.

Example of a form for recording waist and hip measurements and automatically calculating the waist-to-hip ratio