This essay focuses on Health Information Systems. Each student will research three HIS software products. Summarize the capabilities of the software, the hardware requirements, the cost of the software, which organizations are using the product and any other relevant information about each system.
HIS Software Products
Health Information Systems
Firstly, Each student will research three HIS software products.
Secondly, Summarize the capabilities of the software, the hardware requirements,
Thirdly, the cost of the software, which organizations are using the product
In addition, and any other relevant information about each system.
Finally, Include the references used to write the paper.
A health information system (HIS) refers to a system design to manage healthcare data.
This includes systems that collect, store, manage and transmit a patient’s electronic medical record (EMR),
a hospital’s operational management or a system supporting healthcare policy decisions.
Health information systems also include those systems that handle data
relate to the activities of providers and health organizations.
As an integrate effort, these may be leverage to improve patient outcomes, inform research, and influence policy-making and decision-making.
Because health information systems commonly access, process, or maintain large volumes of sensitive data, security is a primary concern.
In 2012, I-TECH design and develop an electronic medical records (EMR) system, KenyaEMR, to support the care and treatment of HIV/AIDS.
KenyaEMR is built on the OpenMRS platform.
I-TECH support the implementation of KenyaEMR in over 300 health facilities throughout Kenya—one of the largest open source EMR rollouts in Africa.
I-TECH supports the use of the system through extensive capacity building of the health managers and through on-site training on system use,
for mentors who then train other staff at the facility.
The system provides a platform to conduct case-base surveillance of HIV/AIDS
and other infectious diseases as efforts are gear toward data quality and data use.