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Development of a Customizable Electronic Health Record (EHR) System for Medical Research
  1. case
  2. Development of a Customizable Electronic Health Record (EHR) System for Medical Research

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Development of a Customizable Electronic Health Record (EHR) System for Medical Research

lightpointglobal.com
Medical

Challenges in Medical Research Recordkeeping

Medical researchers face significant challenges with manual data entry, leading to errors, delays, and inefficiencies in recording and managing research data. This impacts data accuracy, patient engagement, regulatory compliance, and ultimately, the reliability and reproducibility of research findings. The current reliance on legacy systems and manual processes hinders timely analysis and decision-making, affecting patient outcomes and research progress.

About the Client

A leading national organization dedicated to advancing medical research through the development and implementation of innovative technologies and systems.

Project Goals

  • Automate the medical research recordkeeping process to reduce manual effort and improve efficiency.
  • Enhance data accuracy and minimize errors in data entry and recording.
  • Improve patient engagement and retention in research studies.
  • Ensure compliance with strict regulatory requirements for data privacy and security.
  • Provide a robust reporting and statistical toolkit for data analysis and decision-making.
  • Enable customizable system configurations to meet the specific needs of diverse research projects and institutions.

System Functionality

  • Customizable back-office management for creating structured records.
  • Data monitoring of patient visits, staff schedules, and lab results.
  • Laboratory management and task allocation/tracking.
  • Reporting and statistical toolkit for resource optimization and performance analysis.
  • Secure data storage and access control with audit trails.
  • Patient engagement tracking and management.
  • Flexible form creation with customizable fields.

Technology Stack

.NET
ASP.NET MVC
Entity Framework
LINQ
JavaScript/jQuery
Ajax
MSSQL

External System Integrations

  • Electronic Lab Information Systems (ELIS)
  • Hospital Information Systems (HIS)
  • Patient Portal Systems

Non-Functional Requirements

  • High data security and privacy compliance (HIPAA, GDPR).
  • Scalability to accommodate growing research data volumes.
  • High performance and responsiveness for data analysis.
  • Auditability of all system changes and user actions.
  • User-friendly interface for researchers and staff.

Expected Business Impact

Implementing this system will significantly reduce the time and cost associated with medical research, improve data quality and reliability, enhance patient engagement, and enable faster, data-driven decision-making. This will ultimately lead to more impactful research outcomes and improved patient care. The system will empower researchers to focus on scientific discovery rather than administrative burdens.

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