Smarter care starts here

— We developed a smart application suite designed to enhance patient care, quality, and safety in healthcare facilities.
EHACare is a comprehensive and workflow-driven Electronic Medical Records (EMR) application that aims to transform healthcare practices and supports clinical decisions.

EHACare's major goal is to to optimize the entire care process by lowering administrative work, minimizing mistakes, and increasing patient care results.

The Digital Transformation Journey

Our Mission

We wanted to be able to use low-code tools to quickly build workflows that would take considerably less time.

A robust data layer was also important. We wanted to be able to use standardised datasets for persisting our data, in this way, it becomes easier to exchange data with other platforms.

The flexibility to tailor workflows to our needs was huge as well. And finally, it was critical that we build using a secure platform to protect our patients' data from breach.

Our Approach

We had looked at many “out-of-the-box” solutions from various vendors and realized the time it would require to customize to our requirements, the poor UI/UX and the cost would not meet our needs.  

With OpenEHR and Better, we realized that we could:

  • Be on an interoperable platform but customize it to our workflow requirements.  
  • Use standardized datasets and clinical guidelines.
  • Apply those to various clinical settings from acute outpatient, in-patient, home care, community health outreach, and digital health platforms.

Building EHACare

We had looked at many “out-of-the-box” solutions from various vendors and realized the time it would require to customize to our requirements, the poor UI/UX and the cost would not meet our needs.  

With OpenEHR and Better, we realized that we could:

  • Be on an interoperable platform but customize it to our workflow requirements.
  • Use standardized datasets and clinical guidelines and;
  • Apply those to various clinical settings from acute outpatient, in-patient, home care, community health outreach, and digital health platforms.

A small, dedicated team of eight that built over 80 clinical use cases in just 12 months using the Better Platform and openEHR standards. By leveraging 159 archetypes from the global Clinical Knowledge Manager (CKM), 90 percent reused and 10 percent newly created, we ensured our solutions align with global standards and are fully interoperable.We had looked at many “out-of-the-box” solutions from various vendors and realized the time it would require to customize to our requirements, the poor UI/UX and the cost would not meet our needs.  

Architecture
Using Archetypes

Working with our clinicians, we:
- Implemented new processes and forms on the system.
- Created our own archetypes when we could not utilize existing archetypes.

Example of new archetypes:Fall Risk Screening (Nursing Assessment)GAD-2 Score (Mental Health Assessment)Intra - Oral Examination (Dental Assessment)Morse fall risk assessment (Nursing Assessment)Teeth Chart (Dental Assessment)Teeth Count (Dental Assessment)Two-Item Conjoint Screen (TICS) for Alcohol and Other Drug Problems (Mental Health Assessment)Vision Spring Eye Exam (Optical Assessment)

Incorporating LEAN Methodology

We focus on reducing waste by eliminating non-value activities such as redundant documentation and streamlining workflows. By standardizing processes through uniform EMR input methods, we ensure efficient and consistent patient documentation.

Our approach enhances workflow design by aligning EMR use with clinical tasks, resulting in faster and more accurate processes.Continuous improvement is driven by Kaizen feedback, allowing the system to adapt to evolving needs and address inefficiencies. Additionally, streamlined EMR processes help reduce wait times by minimizing bottlenecks, ultimately improving patient flow and overall service delivery.

Impact on Quality

We have significantly improved record accuracy by reducing documentation errors by 80% and cutting incidents of incomplete records by 50%. Medication errors have dropped to less than 2%, and adverse incidents caused by inconsistencies have been reduced by 45%.

In addition, we've streamlined operations by reducing chart audit time for the Quality Assurance team by 50%. Our development process is also more efficient, with rapid application development allowing us to spend 70% less time building new features.