Products
At WorldDoctor our products under development include the following. We look forward to working with our partners
to refine these product solutions to meet their needs:
WorldDoctor Web: The full WorldDoctor application designed to function as a web-based intelligent
electronic outpatient medical record with an imbedded “Virtual Doctor”.
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Robust automated clinical assessments based on accepted guidelines developed for the developing world,
such as WHO guidelines.
- Patient identified records
- Stored health history
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Prior assessments
- Problem list
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Medication list
- Reminder system
- Growth chart
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Section for other documentation - lab, referral, hospitalization, etc.
- Integration of multimedia content as appropriate
- Designed with style sheets that allow for ease of translation to different languages.
- Designed to run over the web but could be run as a stand-alone desktop application if needed.
WorldDoctor Mobile: WorldDoctor application running on a handheld stand-alone application that can be
downloaded to a central database at appropriate intervals.
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Same functionality as WorldDoctor Web but limitation on multimedia and total content integration due to memory
- Software updates at the time of download
- Same robust automated clinical assessments as WorldDoctor Web
WorldDoctor Assist: Automated interactive voice triage by mobile phone, VOIP or fixed line.
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Truncated and simplified versions of the full WorldDoctor assessments to help people decide when to
access care and how to care for themselves at home.
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Questions asked and recommendations given in voice or text
- Answers using keypad
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No patient identification needed other than age, gender, and location identifier
- No stored health history or prior assessments
World Doctor Profiler: A management information system designed around a datacube for healthcare program
managers to analyse the aggregated data from the program by healthworker, region, program, disease, etc.
In World Doctor all of the questions, answers and conclusions in the interactive assessments are stored in a fully
relational SQL database. This allows for rich reporting of data for epidemiology, research, and quality improvement.