This document discusses a project to build capacity for healthcare workers in Nairobi, Kenya through e-learning and sharing HIV/AIDS information. The project aims to provide virtual training to 30 health workers, create an online knowledge hub for information exchange, and use telemedicine like video conferencing for consultations. An initial survey found gaps in computer literacy and available information. The project led to increased training, consultations and patient monitoring. It helped reduce costs and files loss while improving access to healthcare information.

1. Capacity Building by Harnessing
E-learning and Aggregation of
HIV/AIDS Information
Presented by:
Allan Tollo
Head of I.C.T.
Gertrude’s Children’s Hospital

2. Problem
 Nairobi has 4.5 million with 2.2 million
living in slums
 Githogoro slum population of 17,000
(10,000 children) and Nanyuki District
Hospital (200 Kms away)
 Distance and time constraints
 Capacity building for 30 health workers
 Information Exchange

3. Objectives
 Build Capacity through
virtual training
 Knowledge hub to
share information
 Real time Patient
information for
evaluation and
monitoring
 Implicit knowledge
dissemination

4. How?
 Knowledge Management System
 Real time availability
 Decision support system
 Recommendation
 E-Learning Module
 Real time training
 Peer to peer consultation
 Reduced expense

5. How?
 Website
 Exchange of information
 Share success stories , experiences
 Forums/blogs – educate
 Video Conference
 Live interactions
 Consultations

6. Project Sustainability
 Replication to other facilities
 Use technologies
 Champions
 New requirements
 Training/re-training

7. Baseline Survey
 Level of computer literacy
 Infrastructure
 Availability of information
 Peer to peer consultation
 Mentoring and coaching
 Patient Care

8. Impact
 Detection of
missed
appointments
patients up by
200%
 CMEs increase
from once in two
months to every
week
 Consultations
every fortnight
 Mentoring and
coaching two

9. Impact
 Completeness of information
 Files misplacement or loss 80 per
month
 Automated tools – BMI
 Reduced financial costs

10. Conclusion
 Technology helps in time and cost
reduction
 Simple training methods – big impact
 Increase in training numbers
 Positive tool in providing care

11. Asante Sana
Thank You