Health Facility Data Abstractors at

1 month ago

Nairobi, Nairobi Area, Kenya Flexi-Personnel Full time
Flexi Personnel Ltd is a HR Company that was founded in 2008.

It is currently the fastest growing HR firm in Kenya offering a wide range of services including Headhunting and Executive selection, Outsourced Labor management, HR Outsourcing, Outsourced Payroll Management, HR consultancy, Psychometric Assessments and Expatriate Services and relocation support.

What makes us a unique Recruitment and Outsourcing Agency in Kenya, and the whole of Africa, is our systematic approach and listening to our clients' recruitment and payroll needs.

We've offered and will continue offering appropriate solutions to our clients. We only forward candidates within the client's specification.

As a Recruitment firm, integrity and value are key elements of our Recruitment, Staff Outsourcing, Payroll Management, and HR Consultancy services.

We deliver to our promise to our clients within a 3-day deadline. This is enhanced by our dedicated team of recruitment, screening, and management experts.

Duties and responsibilities:
Obtain informed consent from participants visiting the health facility prior to linking patient information in the database.
Obtain and check the patient files for information required for linkage with the NUHDSS database.

Identify and link demographic characteristics of patients with the Nairobi Urban Health Demographic Surveillance System (NUHDSS) using Clinic Linkage software in the health facility.

Update missing personal information required for linkage purposes with the NUHDSS database and document this in the patient file.

Abstract and enter the patient's health data into the Clinic Link Software.
Ensure quality data is entered and participate in resolving queries as they arise.
Ensure the computer is securely stored before leaving the health centre or clinic
Perform other duties assigned/requested by the supervisor.

Minimum qualifications

Diploma or bachelor's degree in health records and information or related field.
Have proven experience in data collection using electronic data capture tools.
Fluent in English and Kiswahili (verbal and written).
Excellent communication, interpersonal and report writing skills.
Proficiency in Microsoft Office.

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