piClinic: Automation for Limited-Resource Healthcare Clinics
|Contact Robert Watson to apply or for more information,
or fill out the Mercer on Mission Student Application
|LOCATION||Limited resource health clinics in and around Tegucigalpa, Honduras.|
|FACULTY||• Robert Watson, Ph.D. TCO
• Donald Ekong, Ph.D. ECE
• Jose Pino, Ph.D. CLA
|COURSES||• CSL 210 International Service Learning: Honduras
and one of:
• EGR 291 Special Topics: Raspberry Pi Programming with Scratch
• EGR 491 Special Topics: Raspberry Pi and Linux Programming
• TCO 491 Special Topics in international qualitative user research
• SPN 385.3- Medical Spanish Interpretation
- Technical communications students
- Computer engineering and information-system students
- Public health, nursing, and health information system students
- Spanish and Medical Spanish students
- In collaboration with the Universidad Nacional Autónoma de Honduras, the teams on this mission will test and evaluate an experimental clinical-data system in several selected limited-resource healthcare clinics in Honduras.
- 1st session of summer semester, 2018 (final dates pending)
- The piClinic will be field tested in small clinics around Tegucigalpa, the national capital of Honduras in Central America. The piClinic system, however, is being designed for an international deployment.
- Five teams of 3-4 students each will work in a clinic to observe their processes, install the piClinc systems, train the clinic staff, and conduct observations and interviews about how the clinic’s experience. At least one member on each team must be proficient in Spanish.
- Around the world, healthcare clinics with limited resources, often in remote locations, can have thousands of patients in their care. The economic and geographic limitations under which these clinics operate leave many of them keeping patient records on paper, storing them in folders on shelves, and manually tabulating patient and clinic data.
- While paper records are functional, they can suffer from such problems as duplicate and lost records, difficulty in identifying larger patterns in healthcare, and other inefficiencies that can reduce the quality of patient care. The CTS being tested during this mission will help these clinics start automating their records to improve the patient care they can deliver and prepare them for more advanced systems in the future.