Visualizing Hospital Management Data in R Shiny-A Case Study.

ABSTRACT:

Objective

There is a demand to make hospital management information beyond basic key performance indicators (KPIs) accessible for clinicians.

Methods

We developed an interactive application (IAPP) in R Shiny to visualize such information. We provided the IAPP source code online. As a use case, we recorded basic KPIs (numbers of patients (NPs), reimbursed valuation ratios (RVRs), mean length of stay (LOS)), main diagnoses (MDGNs), main procedures (MPRCs), and catchment area (CA) by district from April 2022 to March 2024 at the index department in central Germany, where a neurotrauma and spinal surgery service was resumed on 1 April 2022. Case mix indexes (CMIs) were calculated. We retrieved information about online-reported patient satisfaction (ORPS) from an online physician

SUBMITTER: Voellger B 

PROVIDER: S-EPMC11432085 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature