Chapter One — 1.1 Background to the Study

Nigerian tertiary and teaching hospitals have, over the past decade, moved gradually from paper-based patient charts toward electronic medical records systems capable of storing vital signs, laboratory results, medication records and clinical notes in a searchable digital form. That shift has solved one problem — the risk of a paper chart being lost, illegible, or unavailable when needed — while leaving a related one largely unaddressed: most EMR interfaces still present this data as rows in a table or entries in a list, requiring a clinician to read through a sequence of numbers to reconstruct a trend that a chart would show at a glance.

This matters clinically as much as it matters operationally. A patient's vital signs moving gradually in a concerning direction, a laboratory value trending outside its normal range across several tests, or a medication schedule slipping behind are all patterns that are considerably easier to notice in a line chart than in a column of numbers scanned under time pressure on a busy ward. Data visualisation — rendering this same underlying data as charts, trend lines and dashboards — is a comparatively well-established response to exactly this kind of information-density problem in other data-heavy fields, but its integration into Nigerian hospital EMR systems specifically has not been systematically studied.

1.2 Statement of the Problem

Clinicians working with EMR systems that present patient data purely in tabular form must mentally reconstruct trends from raw values, a process that is slower and more error-prone than reading the same trend from a chart, particularly under the time pressure of a busy ward round. Nigerian hospitals investing in EMR adoption have limited evidence about whether adding a data visualisation layer to their existing systems would measurably improve how quickly and accurately clinicians identify significant patient trends, or whether it is a lower-priority enhancement relative to other EMR features. This project addresses that gap by designing, implementing and evaluating a data visualisation layer integrated into a hospital electronic medical records system.

1.3 Objectives of the Study

1. To examine how patient data — vital signs, laboratory results and medication records — is currently presented within typical hospital EMR interfaces.
2. To design a data visualisation layer capable of rendering vital sign trends, laboratory result histories and medication timelines from existing EMR data.
3. To implement a prototype integrating this visualisation layer with a hospital electronic medical records system.
4. To evaluate the impact of the visualisation layer on clinical users' task completion time and accuracy in identifying significant patient trends.
5. To assess clinical users' perceived cognitive load and usability when using the visualisation-enhanced interface compared with the standard tabular interface.

1.4 Research Questions

1. How is patient data currently presented within typical hospital EMR interfaces, and what limitations does that presentation create for clinicians?
2. What data visualisation components are most useful for representing vital sign, laboratory and medication trends within an EMR system?
3. What effect does integrating data visualisation have on clinical users' speed and accuracy in identifying significant patient trends?
4. How do clinical users perceive the cognitive load and usability of a visualisation-enhanced EMR interface compared with a standard tabular one?

1.5 Significance of the Study

This project is significant to Nigerian hospitals currently operating or considering electronic medical records systems, offering evidence on whether a data visualisation layer meaningfully improves clinical data review rather than simply adding visual complexity. It is equally relevant to EMR vendors and health informatics researchers, contributing a Nigerian-context evaluation to a body of literature on clinical data visualisation that has so far drawn mainly on health systems in more digitally mature settings.

1.6 Scope of the Study

The project is limited to the design, implementation and evaluation of a data visualisation layer for vital signs, laboratory results and medication records within a hospital electronic medical records system. Evaluation is conducted using a prototype system and a sample of clinical user tasks rather than a live hospital deployment, and the project does not extend to the EMR system's underlying data storage architecture, interoperability with external health information systems, or visualisation of imaging or diagnostic scan data.