MODULE 3 · LESSON 3.1
Understanding Digital Health Information Systems
Estimated time: 20 minutes
ON THE BOARD · Module 3 summary
A mobile form and a routine reporting system do different jobs.
- 1. A mobile form and a routine reporting system do different jobs.
- 2. A good form refuses an answer that is impossible.
- 3. A facility tally counts contacts. A survey may count people.
- 4. Do not add those units together, and do not enter a real patient's name.
MODULE SUMMARY
Module 3 summary
A mobile form and a routine reporting system do different jobs.
A good form refuses an answer that is impossible.
A facility tally counts contacts. A survey may count people.
Do not add those units together, and do not enter a real patient's name.
The board writes the point she is saying. It changes as the lesson moves on. Keep the sound on.
READ COMPLETE NOTES
3.1.1 What is a digital health information system?
A digital health information system uses digital technologies to collect, manage, process, store or communicate information related to health.
Think about a hospital that previously recorded patient visits in paper registers. Every month, a staff member might count the entries manually and prepare a report. Now imagine the facility uses a computerised system to record visits and generate summaries. The process can become more efficient, depending on the system's design, data quality and implementation.
However, simply using a computer does not guarantee that the information is accurate. People still need to enter the right information, follow appropriate procedures and check the results.
3.1.2 Paper-based versus digital data collection
Situation A, paper-based collection: a community health worker visits 30 households and records information on paper forms. At the end of the day, someone enters the responses into a spreadsheet.
Situation B, digital collection: the health worker uses a digital form on a mobile device to record the responses directly. The submitted data can then be exported or reviewed in a compatible system.
| Feature | Paper-based collection | Digital collection |
|---|---|---|
| Recording | Written on paper | Entered electronically |
| Transfer | May require later transcription | May be submitted electronically |
| Validation | Often depends on manual checks | Can use configured validation rules |
| Reporting | May require manual calculations | May support automated summaries |
| Internet requirement | Not required for paper recording | Depends on the tool and workflow |
| Error risk | Errors can occur during writing and transcription | Errors can occur during entry, design and processing |
| Security | Physical access and storage controls are important | Digital access controls and secure storage are important |
Digital collection can reduce some errors and delays, but poorly designed digital forms can still produce poor-quality data.
3.1.3 Understanding the health data workflow
An NGO wants to understand how many eligible pregnant women received a specified service during a reporting period.
- Stage 1, data collection: a health worker records information about the services provided.
- Stage 2, data submission: the information is sent to the appropriate reporting system.
- Stage 3, data quality checks: the team checks for missing information, inconsistent entries and possible duplication.
- Stage 4, data analysis: the team calculates indicators and examines patterns.
- Stage 5, reporting: the findings are presented in a report or dashboard.
- Stage 6, decision-making: programme managers use the findings, alongside other relevant evidence, to decide what needs further investigation or improvement.
- 1. Collect
- 2. Submit
- 3. Check
- 4. Analyse
- 5. Report
- 6. Act
- 7. Review
The process is not always perfectly linear. An analyst may discover an error during analysis and need to return to the source data for clarification.
3.1.4 Different tools perform different jobs
| Tool or system | Main role |
|---|---|
| KoboToolbox | Collecting data using digital forms and surveys |
| Excel | Organising and analysing spreadsheet data |
| DHIS2 | Managing and analysing health information within configured health information system implementations |
| Power BI | Creating interactive dashboards and visual reports |
| Electronic health record system | Managing individual patient health records and related clinical information, depending on the system |
These tools may work together, but they are not interchangeable. An NGO might collect survey responses using KoboToolbox, export the data for cleaning in Excel, and then create a dashboard using Power BI. A national or subnational health information system may use DHIS2 for routine reporting and analysis. The actual workflow depends on the organisation, system configuration, data access and technical arrangements.
3.1.5 Why data protection matters
- Who is authorised to access the information?
- Is identifiable information actually needed?
- How will the information be stored?
- How will it be transferred securely?
- How long should it be retained?
- Is consent or another lawful basis required?
- Are applicable data protection requirements being followed?
Lesson 3.1 knowledge check
Choose an answer for each question, then check. The suggested answers stay hidden until you do.
1. What is one potential advantage of digital data collection?
2. Which tool is primarily designed for digital form-based data collection?
3. Does digital data collection eliminate all errors?
Lesson summary
Digital health information systems support the collection, management, analysis and communication of health information. Different tools serve different purposes, and good data quality still requires appropriate procedures, validation and human review.