HealthScore, a fully customizable software for long-term care, addressed the challenges a neurological care facility faced in managing EMR and hospital information systems.
By providing a comprehensive software solution, we enabled seamless management of clinical patient records, streamlined assessments, and automated reporting. This case study highlights the client’s original problem, our solution, and the resulting success in efficiency and improved patient care.

CHALLENGE

Our client, a medical facility specializing in treating patients with dementia, Alzheimer’s disease, and other neurological disorders, faced several challenges in managing patient data and conducting assessments efficiently. The client’s practice spanned multiple hospitals in Bangalore, so a system was needed that could centralize patient information independent of each healthcare facility. The existing approach relied on separate word documents stored locally or on Google Drive, resulting in scattered data and potential information gaps.
The client relied on a team of three interns for data entry, which was a time-consuming and error-prone process. The interns manually entered patient data from paperbased questionnaires and assessments, which created a high risk of error and affected the overall efficiency of the practice. The assessment process included calculating percentile ranges based on assessment results to accurately categorize patients. In addition, patient report generation was a manual process that required significant time and effort.
The client recognized the need for a software solution that could address these challenges by providing a centralized platform for maintaining clinical patient data, automating assessment calculations, and streamlining report generation. They were looking for a comprehensive system that would eliminate manual data entry, reduce the potential for errors, and improve the overall efficiency of patient care.

OUR SOLUTION

With these specific issues in mind, HealthScore offered a software solution to meet the client’s needs and overcome the limitations of the existing workflow.

The following features of HealthScore help meet the client’s requirements.

Automated assessment score calculation: By leveraging the power of HealthScore, we were able to automate the calculation of raw scores and percentiles. This eliminated manual errors and reduced the time spent on manual calculations.

Summary report creation: using HealthScore Insights, we developed a feature to create summary reports for each patient. These reports present key information and assessment results in a concise and standardized format, facilitating analysis and decision-making.

Centralized patient record management: We developed a software solution that allowed the client to manage clinical patient records in a centralized system that could be accessed from any location. This eliminated the need for individual Word documents and provided a secure and organized platform for record management.

Configured assessments within HealthScore: We integrated assessment tools into our HealthScore software that were specifically tailored to the client’s needs. These assessments digitized the patient questionnaire and streamlined the data collection process.

Impact and Client Success: The implementation of our solution had a significant impact on the client’s operations and overall success:

1. Easy maintenance of clinical patient data: with a centralized system, the client could effortlessly maintain patient records by eliminating the need for multiple Word documents. This simplified record keeping and improved data accessibility and security.

2. Drastically reduced manual effort: automating the calculation of assessment results eliminated the need for manual calculations, saving valuable time for both the neuropsychologist and interns. This reduced the chance of errors and increased overall efficiency.

3. Streamlined report generation: automated summary report generation in HealthScore provided the client with standardized reports for each patient. This facilitated faster analysis and enabled more informed decision-making, resulting in improved patient care.

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