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Smart Medical

Clinical and health records processing platform to enable faster decision making

  • Development time

    9 Months

  • Resources involved

    6 Professionals

Overview

One of the giant healthcare organizations wanted to access to deep content embedded in medical texts. The primary purpose of the project is to analyze and get maximum insight from information contained in the text of electronic health records that, if processed, can be used for a range of medical purposes including, but not limited to: clinical decision support, institutional auditing and billing, clinical quality improvement and research.

Business Goal

Collecting the information from various departments and devices.

Transforming the information into a unified format for learning.

Indexing the transformed information so that it can be useful to various departments/organizations.

Apply NLP and get the best insight from the data.

Challenges

There are numerous challenges in implementation of this type of systems, few challenges are,

Collecting and aggregating data from different systems from various departments.

Transforming the data into unified and meaningful information.

Indexing massive amounts of healthcare data and refining the data periodically.

Enhancing the learning so that it becomes more useful for research and betterment of people’s health.

Solution

System architecture

  • We provided end to end solution to our client for data collection, aggregation, transformation, refinement etc. We also developed various utility applications which were customized as per different devices & their logging mechanism.
  • We delivered fully automated, semi automated and many times manual approaches for effective data collection, aggregation and refinement of the data as it impacts people’s health.
  • We also performed stress testing, automated correctness testing and many times manual testing for the system.
  • We provided training to various users from different departments for effective use of the system and better management.

Technologies

Implementation

We implemented the system in various phases, as there are various medical devices in the system which we need to understand.

The implementation also included the domain knowledge transfer from different departments to our developers for delivering a reliable system.

Our development team started from the simplest devices and gradually we managed to learn the complex devices and their terminologies.

Road map

Requirement Analysis
  • Brainstorm
  • Innovation
  • Research
  • Resource planning
Architecture Planning
  • Architecture Design
  • System Prototyping
  • Documentation
Development
  • Back end development - Utilities for Aggregation, Transformation, Data cleansing, etc.
  • Front end development.
Quality Testing
  • Quality Assurance
  • User Acceptance Testing
Deployment
  • Production
  • Evaluation

Business Benefits

The system delivered various benefits to different domains like medical people were able to deliver better services through historical analysis of the data, researchers were able to get the more trustworthy data at one place, Accurate learning of the diseases & symptoms was possible.

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