Health Informatics & Digital Health · Physical, Online
Health Information Systems (HIS) Data Management & Reporting Training Workshop
10 Days7 sessions available Certificate on completion
The Health Information Systems (HIS) Data Management & Reporting Training Workshop is a practical professional training programme designed to equip participants with the skills required to collect, manage, validate, analyse and report health information for effective healthcare delivery, public health surveillance and evidence-based decision-making.
The workshop covers the complete health information management cycle, from data collection at health facilities and community programmes to data aggregation, quality assurance, indicator calculation, statistical analysis, dashboard development and routine reporting. Participants learn how to improve data completeness, accuracy, consistency, timeliness and reliability while strengthening the use of health information for planning, resource allocation, performance monitoring and service delivery improvement.
The Health Information Systems (HIS) Data Management & Reporting Training Workshop equips health information officers, public health professionals, health facility managers and programme personnel with practical skills in health data collection, data management, quality assurance, indicator calculation, routine reporting and data analysis. Participants learn to improve health information accuracy, use digital reporting systems such as DHIS2, analyse health service performance, develop dashboards and generate reliable reports for evidence-based planning and healthcare delivery improvement in Kenya and across Africa.
Learn health information systems data management, DHIS2 reporting, health data quality assessment, indicator analysis, dashboards and routine health reporting.
Course objectives
Manage health information systems data using appropriate data collection, entry, coding, storage, aggregation and documentation procedures.
Apply health information governance and data-use practices to protect confidentiality, strengthen accountability and support evidence-based planning and decision-making.
Develop effective health data visualisations and dashboards using appropriate reporting software and information system outputs.
Analyse and interpret health service data to identify trends, performance gaps, disease patterns and opportunities for improving healthcare delivery.
Generate accurate health indicators and routine reports using standard reporting definitions, facility records, programme data and population health statistics.
Assess and improve health data quality by applying validation rules, completeness checks, consistency assessments, verification procedures and data quality improvement methods.
Who should attend
Health records and information officers, health information management professionals, health facility administrators, medical records officers, public health officers, monitoring and evaluation officers, data managers, disease surveillance officers, health programme coordinators, hospital quality improvement teams, Ministry of Health personnel, county health officials, NGO and donor-funded health programme staff, healthcare researchers and digital health practitioners.
Course content
Module 1: Foundations of Health Information Systems Definition and purpose of health information systems, components of national and subnational health information systems, routine health information systems and population-based information systems, relat
Module 2: Health Data Sources, Collection Methods and Information Requirements Health facility registers and patient records, outpatient and inpatient service data, maternal and child health records, immunisation and reproductive health data, laboratory a
Module 3: Health Data Management, Coding and Database Organisation Principles of health data management, data entry procedures and validation, standardised health data coding, patient and facility identifiers, data dictionaries and metadata, database tabl
Module 4: Health Data Quality Assurance and Validation Dimensions of health data quality including completeness, accuracy, consistency, timeliness, validity and uniqueness, data quality assurance frameworks, register-to-report verification, source documen
Module 5: Health Indicators, Definitions and Reporting Standards Health indicator concepts and classifications, input process output and outcome indicators, service coverage indicators, utilisation indicators, quality-of-care indicators, disease surveilla
Module 6: Routine Health Information Systems Reporting and Data Submission Monthly and quarterly health reporting cycles, facility-level data compilation, departmental reporting workflows, preparation of summary reports, aggregation of service statistics,
Module 7: DHIS2 and Digital Health Information Management Introduction to DHIS2 and its role in routine health information management, organisation units and health facility hierarchies, data elements and indicator definitions, datasets and reporting peri
Module 8: Electronic Medical Records and Interoperability of Health Information Systems Principles of electronic medical records, electronic health records and health facility information systems, patient registration and identification, clinical encounte
Module 9: Health Data Analysis Using Excel and Statistical Software Importing health datasets, organising data for analysis, cleaning and transforming variables, frequency distributions and summary statistics, calculation of percentages and rates, analysi
Module 10: Health Data Visualisation, Dashboards and Performance Monitoring Principles of effective health data visualisation, selection of appropriate charts for health indicators, bar charts and trend graphs, facility performance comparison charts, dise
Module 11: Data Reconciliation, Reporting Errors and Corrective Action Identification of discrepancies between registers and summary reports, reconciliation of monthly and quarterly submissions, detection of inconsistent totals and indicator values, inves
Module 12: Health Information Governance, Confidentiality and Security Principles of responsible health data governance, confidentiality of patient information, access control and user permissions, collection and use of identifiable health information, de
Module 13: Health Information Reporting for Programme Monitoring and Evaluation Health programme indicator frameworks, alignment of routine health indicators with programme objectives, monitoring of service delivery outputs and outcomes, reporting for don
Module 14: Data Use, Evidence-Based Decision-Making and Health System Performance Improvement Transforming routine health data into actionable information, interpretation of health facility and programme performance, identification of service delivery bot
Module 15: Integrated Health Information Systems Data Management and Reporting Project Selection of a health information management problem, identification of relevant data sources and reporting requirements, preparation of a health data dictionary, extra
General notes
. Practical Exercises and Expected Outputs Health data dictionary development — standardised data dictionary and indicator definitions, data quality assessment — data quality assessment report and improvement plan, health indicator calculation — validated indicator calculation sheet, routine reporting exercise — completed monthly or quarterly health report, DHIS2 practical — sample dataset entry and validation report, data reconciliation — discrepancy log and corrective action register, health data analysis — summary tables and trend analysis, dashboard development — health facility or programme performance dashboard, confidentiality assessment — health data access and security checklist, programme monitoring — indicator tracking matrix, final project — integrated health information management report with data quality findings and recommendations.
Recommended Software and Tools : DHIS2, Microsoft Excel, Power BI, SQL, KoboToolbox, REDCap, electronic medical record systems, electronic health record systems, SPSS, Stata, R, Python, QGIS. Software selection can be adapted to the systems used by the participating health facilities, county health departments, ministries of health and programme implementing organisations.
Training Methodology: The workshop combines instructor-led presentations, software demonstrations, guided computer-based exercises, health facility reporting scenarios, data quality assessment exercises, group assignments and an integrated practical project. Participants work with sample health facility datasets and routine reporting scenarios to practise validating records, calculating indicators, analysing trends and developing reports. Emphasis is placed on practical application, standardised procedures, responsible data management and the translation of health information into decisions that improve service delivery.
Expected Learning Outcomes : Upon successful completion, participants should be able to manage health information workflows, maintain accurate and reliable datasets, assess and improve data quality, calculate and interpret health indicators, compile routine reports, use digital health information systems, analyse health service trends, develop dashboards, protect confidential health information and support evidence-based planning and performance improvement.
Frequently asked questions
The workshop is intended for health records officers, health information management professionals, health facility managers, data managers, monitoring and evaluation officers, public health practitioners and health programme personnel.
Yes. The programme includes DHIS2 concepts, routine data entry, validation rules, reporting completeness, indicator interpretation, data export and dashboard use. Practical depth depends on the system access and training environment available.
Yes. Participants learn to assess completeness, accuracy, consistency, timeliness and validity, investigate discrepancies and develop corrective action plans.
Yes. The workshop covers descriptive analysis, indicator calculation, trend analysis, comparisons across facilities and the development of analytical summaries and dashboards.
Depending on institutional requirements, practical sessions can use DHIS2, Excel, Power BI, SQL, electronic medical record systems and statistical software.
Participants can produce a data dictionary, data quality assessment report, validated health indicators, routine reporting templates, analytical tables, dashboards and an integrated health information management report.