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Disease Registry/Cohort Builder

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by

Josh Kurien

on 4 June 2016

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Transcript of Disease Registry/Cohort Builder

Example of Cohort
Big-picture of project
Problem Statement
What is cohort ?
Under the guidance of Prof. Sunil Dhore
sponsored by Persistent Systems Ltd.
Disease Registry/Cohort Builder
What is Disease Registry ?
Generational cohort (demographics), an aggregation of individuals who experience the same event within the same time interval.
Cohort (statistics), a group of subjects with a common defining characteristic—typically age group.
To create a Cohort Builder based on certain conditions, and creating an application for the same using MEAN stack.

Typically, the complex questions of the clinician experts must be transmitted to technical team members, who then conduct the queries and produce a custom-built report one that will likely require several iterative reviews before it meets the needs of the clinicians. This process of iteratively defining patient cohorts can be time-consuming and it delays progress on meaningful clinical improvement and research.
Project by:
Shubham Pendharkar B120224254
Premdeep Saini B120224241
Abhitesh Debnath B120224202
Nitish Mowall B120224236
A disease registry is a special database that contains information about people diagnosed with a specific type of disease. Most disease registries are either hospital based or population based.
A hospital-based registry contains data on all the patients with a specific type of disease diagnosed and treated at that hospital.
A population-based registry contains records for people diagnosed with a specific type of disease who reside within a defined geographic region

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Related Work
HEALTH CATALYST :
The Health Catalyst consists of a set of platform, application, and service offerings that have been developed to meet a wide range of healthcare needs.
Related Work(contd.)
Two sets of Analytic Applications

Foundational Applications encourage broad use of the data warehouse by presenting dashboards, reports, and basic registries across clinical and departmental areas.
Discovery Applications allow users to discover patterns and trends within the data that inform prioritization, inspire new hypotheses, and define populations for management.
Related Work(contd.)
Our Solution
Class Diagram
Framework and languages used:
MEAN stack
Ionic
Cordova
HTML 5
CSS
MEAN Stack
M-MongoDb
E -Express (framework for node)
A -Angular ( framework for dynamic web apps)
N -Nodejs
Applications
Employee health management.
Japan nuclear radiation exposure.
Research purposes.
Future aspect
The system is presently reactive, but there is a future scope of for making cohort explorer which will use proactive approach that will make the system identify the trend.
Example: The system will automatically suggest to make different medical programs on the basis of histograms, pie-charts, or bar graph.
References
https://www.healthcatalyst.com
Wikipedia :https://www.wikipedia.org
Patient’s record’s standard:
http:// hl7.org/implement/standards/fhir/2015Jan/patient.html
Condition’s record’s standard
http://hl7.org/implement/standards/fhir/2015Jan/condition.html
http://cohortanalysis.com
Thank you
Full transcript