Hospital-level evaluation of the effect of a national quality improvement programme: time-series analysis of registry

Timothy J Stephens1, Carol J Peden2, Ryan Haines3

  • 1William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK t.t.stephens@qmul.ac.uk.

BMJ Quality & Safety
|September 14, 2019
PubMed
Abstract

Related Concept Videos

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

The ValsalvaAnalyzer software includes functions to analyze continuous beat-to-beat electrocardiogram and blood pressure (BP) measurements recorded during the Valsalva maneuver (VM). The computed clinical biomarkers and estimated model outputs provide insight into sympathetic and parasympathetic regulation of heart rate and BP during the...
978
Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

One challenge of analyzing synchronized time-series experiments is that the experiments often differ in the length of recovery from synchrony and the cell-cycle period. Thus, the measurements from different experiments cannot be analyzed in aggregate or readily compared. Here, we describe a method for aligning experiments to allow for phase-specific...
1.9K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Presented here is a protocol for collecting and processing underwater photogrammetry data, including a significantly simplified and fully automated image processing pipeline resulting in georeferenced and time-series aligned outputs ready for ecological data extraction, analysis, and application.
1.3K
Hospitals-II00:59

Hospitals-II

Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
1.1K
Time-Series Graph00:54

Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.0K
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
663