Data cleaning diminishes capacity for generating valuable insights
As patient information is extracted from various health information systems, it is common for data to be full of gaps, incomplete, and inconsistent. This can lead to staff spending excessive time cleaning and organizing information – slowing down decision-making and hampering efforts to monitor, track, and respond to incidences of specific diseases and conditions.