Abstract:
Variations and gaps in healthcare result into increase cost in terms of long treatment cycle,
readmission and care quality considerations. However health practices can be improved. This
can be done by synthesis of evolving clinical insight into current practices. Visual analytics
on healthcare data can reveal such insight into opportunities, impacts and comparisons among
peer groups. These techniques can figure out opportunities and gaps in data, healthcare and
measurement methods. Unfortunately, healthcare in Pakistan is facing serious issues due to
lack of public and administrative data reporting infrastructure. Integrated healthcare analytics
would be extremely hard and tedious process without existence of a Government agency to
support healthcare data collection.
In this project we have attempted to create a process and model for public healthcare data
collection. We have developed an integrated data warehouse, feature of bulk data load by
hospitals, and a support system for medical doctors to add their patient information. The web
application follows Model-View-Controller architecture. As an outcome of this project, huge
piles of structured public healthcare data would be collected and can be used in statistical
data mining and decision support to improve situation of healthcare in Pakistan.
In the developed system following benefits are observed
Infrastructure for collection and management of healthcare data is developed
Public data warehouse is built
We will have anonymous data of patients discharge summaries for analysis which will
be helpful in decision making
As we have followed HL7 model for collection of data so we will have HL7
standardized data
ICD-9 codes are used for entering information about patient’s diagnosis and
procedures so this is another standardization of data
Completely implemented data warehouse management operation and easy to use so
cost of management is reduced
