Strengthening Country Routine Health Information Systems (RHIS): Strategic ap...MEASURE Evaluation
The document discusses strengthening routine health information systems (RHIS) through strategic approaches by the MEASURE Evaluation Project. It highlights the importance of RHIS in health system strengthening and integration. MEASURE Evaluation aims to improve RHIS performance by addressing technical, organizational, and behavioral factors using the PRISM framework. Key strategies include coordinating multi-stakeholder initiatives, strengthening governance and planning, regionalizing capacity building, and establishing advocacy and knowledge networks. The document proposes creating an RHIS subgroup under the Asia eHealth Information Network to further support RHIS strengthening efforts in Asia.
BME 307 - HMIS - Data Management Systems 24112021 Final.pdfedwardlowassa1
This document outlines a course on health management information systems (HMIS). The course aims to equip students with knowledge and skills of information technology and its applications in health management. It will cover topics like electronic health records, integrated practice management systems, and health information technology interoperability. Teaching methods will include lectures, tutorials, group works, site visits and assignments. Students will be assessed through tests, assignments and an examination. The course references textbooks on biomedical informatics, health informatics, and information systems. It also provides context on HMIS in Tanzania and discusses frameworks for understanding well-functioning HMIS like PRISM and the 12 components framework.
Strengthening Routine Facility-based Health Information Systems in Developing...MEASURE Evaluation
The document summarizes a presentation about strengthening routine health information systems (RHIS) in low and middle-income countries (LMICs). RHIS are important for measuring and planning health services but often provide inadequate data. The PRISM framework evaluates technical, organizational, and behavioral determinants of RHIS performance. PRISM tools assess data quality, use, and system factors. Interventions like training, advocacy, and feedback aim to improve RHIS and ultimately health outcomes. Assessment results from Cote d'Ivoire show progress in data quality and use after integrating indicators and training on problem solving and information use.
Introduction to Routine Health Information System SlidesSaide OER Africa
Introduction to Routine Health Information System was created for undergraduate and postgraduate health science students to introduce them to the concepts and methods of routine health information systems.
The learning objectives are to help users explain the roles of routine health information systems (RHIS) in health service management; examine strategies used to improve routine health information systems; acquaint with skills to carry out the process of improving RHIS performance; discuss three categories of determinants that influence RHIS.
This document provides an outline and overview of content presented on Management Information Systems. The presentation discusses what MIS is, how it has evolved, why it is important, how to organize an MIS, current trends, advantages and limitations. It defines key terms like management, information, data and systems. It also describes the scope of management in healthcare and the management cycle. Additionally, it outlines the components, objectives and evolution of the Health Management Information System in India.
4. HIS - Introductionforjuniorshealthinformatics.pptAronMozart1
This document provides an overview of health information systems (HIS). It defines HIS as a set of components and procedures organized to generate information to support health care management decisions at all levels. Effective HIS should produce relevant information for different users, including patients, providers, and policymakers. However, many current systems have design flaws, such as collecting too much irrelevant data, which burdens health workers and reduces data quality and use. The document also describes Ethiopia's move from an old fragmented HMIS to a new integrated system, with the goals of standardizing indicators, simplifying data collection, and promoting information use.
4EXAM. HIS - Introducodajbcvsovbation (3).pptAronMozart1
This document provides an overview of health information systems (HIS). It defines HIS as a set of components and procedures that generate information to support health care management decisions at all levels. Effective HIS is important for evidence-based decision making. However, current systems often have imbalances between data supply and demand. The document outlines various users and types of health information needed, and components of effective HIS like disease surveillance and vital records. It also discusses challenges faced by old HIS in Ethiopia and improvements in the new design, like standardization, integration, and simplification to reduce data burden.
The document discusses Health Management Information Systems (HMIS), including:
- The objectives and benefits of HMIS in health services management.
- The key components and purpose of HMIS including data collection, storage, analysis and use for management decisions.
- Examples of indicators and data sources used in HMIS.
- The six steps involved in restructuring health MIS, such as identifying information needs and developing data collection instruments.
- Ways to enhance the use of information in decision-making, including improving data quality and communication between data collectors and managers.
Strengthening Country Routine Health Information Systems (RHIS): Strategic ap...MEASURE Evaluation
The document discusses strengthening routine health information systems (RHIS) through strategic approaches by the MEASURE Evaluation Project. It highlights the importance of RHIS in health system strengthening and integration. MEASURE Evaluation aims to improve RHIS performance by addressing technical, organizational, and behavioral factors using the PRISM framework. Key strategies include coordinating multi-stakeholder initiatives, strengthening governance and planning, regionalizing capacity building, and establishing advocacy and knowledge networks. The document proposes creating an RHIS subgroup under the Asia eHealth Information Network to further support RHIS strengthening efforts in Asia.
BME 307 - HMIS - Data Management Systems 24112021 Final.pdfedwardlowassa1
This document outlines a course on health management information systems (HMIS). The course aims to equip students with knowledge and skills of information technology and its applications in health management. It will cover topics like electronic health records, integrated practice management systems, and health information technology interoperability. Teaching methods will include lectures, tutorials, group works, site visits and assignments. Students will be assessed through tests, assignments and an examination. The course references textbooks on biomedical informatics, health informatics, and information systems. It also provides context on HMIS in Tanzania and discusses frameworks for understanding well-functioning HMIS like PRISM and the 12 components framework.
Strengthening Routine Facility-based Health Information Systems in Developing...MEASURE Evaluation
The document summarizes a presentation about strengthening routine health information systems (RHIS) in low and middle-income countries (LMICs). RHIS are important for measuring and planning health services but often provide inadequate data. The PRISM framework evaluates technical, organizational, and behavioral determinants of RHIS performance. PRISM tools assess data quality, use, and system factors. Interventions like training, advocacy, and feedback aim to improve RHIS and ultimately health outcomes. Assessment results from Cote d'Ivoire show progress in data quality and use after integrating indicators and training on problem solving and information use.
Introduction to Routine Health Information System SlidesSaide OER Africa
Introduction to Routine Health Information System was created for undergraduate and postgraduate health science students to introduce them to the concepts and methods of routine health information systems.
The learning objectives are to help users explain the roles of routine health information systems (RHIS) in health service management; examine strategies used to improve routine health information systems; acquaint with skills to carry out the process of improving RHIS performance; discuss three categories of determinants that influence RHIS.
This document provides an outline and overview of content presented on Management Information Systems. The presentation discusses what MIS is, how it has evolved, why it is important, how to organize an MIS, current trends, advantages and limitations. It defines key terms like management, information, data and systems. It also describes the scope of management in healthcare and the management cycle. Additionally, it outlines the components, objectives and evolution of the Health Management Information System in India.
4. HIS - Introductionforjuniorshealthinformatics.pptAronMozart1
This document provides an overview of health information systems (HIS). It defines HIS as a set of components and procedures organized to generate information to support health care management decisions at all levels. Effective HIS should produce relevant information for different users, including patients, providers, and policymakers. However, many current systems have design flaws, such as collecting too much irrelevant data, which burdens health workers and reduces data quality and use. The document also describes Ethiopia's move from an old fragmented HMIS to a new integrated system, with the goals of standardizing indicators, simplifying data collection, and promoting information use.
4EXAM. HIS - Introducodajbcvsovbation (3).pptAronMozart1
This document provides an overview of health information systems (HIS). It defines HIS as a set of components and procedures that generate information to support health care management decisions at all levels. Effective HIS is important for evidence-based decision making. However, current systems often have imbalances between data supply and demand. The document outlines various users and types of health information needed, and components of effective HIS like disease surveillance and vital records. It also discusses challenges faced by old HIS in Ethiopia and improvements in the new design, like standardization, integration, and simplification to reduce data burden.
The document discusses Health Management Information Systems (HMIS), including:
- The objectives and benefits of HMIS in health services management.
- The key components and purpose of HMIS including data collection, storage, analysis and use for management decisions.
- Examples of indicators and data sources used in HMIS.
- The six steps involved in restructuring health MIS, such as identifying information needs and developing data collection instruments.
- Ways to enhance the use of information in decision-making, including improving data quality and communication between data collectors and managers.
LESSON 8 Health statistics and data management.ppttheojamesp30
This document defines key health statistics and data management terms and discusses methods for collecting, interpreting, and storing data. It outlines four main methods for data collection: interviews, participant observation, secondary analysis of existing data, and surveys. It also briefly discusses the Health Management Information System (HMIS) in Zambia, which takes a decentralized approach to collecting, analyzing, and using health data to inform decision-making at all levels of the health system. HMIS tools include various registers and analytic tools used to track health indicators and assess performance on a monthly, quarterly, and biannual basis.
2 Health management information system2.pptxssuser504dda
The document defines and discusses health information systems and their importance. It provides definitions of key terms like health information system, management information system, and health management information system. It outlines the importance of health information systems in supporting management functions, decision making, and health system strengthening. It describes the typical components and structure of health information systems, including data collection, management, and use. It also discusses issues that can undermine current health information systems and provides steps to develop and improve such systems.
This document is the thesis submitted by Akumengwa Neba N to the Department of Public Health and Hygiene at the University of Buea in November 2014. The thesis assesses the health information system in Buea Health District. It includes background on health information systems and their components. The study aims to evaluate the adequacy of the health information system and identify priority areas for improvement. The methodology describes a cross-sectional study using interviews and assessment tools. The results found that data management was inadequate while other components were adequate or highly adequate. Key weaknesses identified were in data management, resources, and dissemination/use. Priority areas for improvement included strengthening data management, resources, vital statistics collection, and information analysis and
RHIS3rd year regular generic HI (1).pptxEyobAlemu11
This document provides information about a Routine Health Information Systems course. It includes details about the course name, code, credit hours, target students, and instructor. The course contents cover 8 chapters on topics like health indicators, data sources, disease surveillance, and the District Health Information System (DHIS-2). The document also defines key terms, outlines the components and historical development of health information systems, and discusses the health management information system in Ethiopia.
The document discusses health information systems and their role in supporting health systems. It defines key concepts like health systems, their functions and actors. It describes how health information systems can monitor and manage health system goals like coverage, quality and efficiency. It outlines the different levels of a health services system and how a Routine Health Information System can generate data to support decision making at each level, from individual patient care to national policymaking.
Jennifer Rayner - 2015 CACHC Conference Presentationcachc
This document discusses challenges with collecting and using data from community health centers (CHCs) to demonstrate their impact and value. It outlines how CHCs in Canada have worked to standardize key data elements and develop evaluation frameworks to facilitate collective reporting. While electronic medical records (EMRs) were not initially designed for team-based care, CHCs are finding ways to extract meaningful data to show outcomes. Standardized data allows for comparisons between primary care models and analysis of issues like health equity. Continued collaboration ensures CHCs can effectively measure and communicate their success in improving population health.
"Medical Doctors are Poor Managers". This presentation has tried to do brainstorming for them how to operate as better Health Managers. Leaders lead from the Front. Managers control from the Behind. A Doctor in a facility needs to play the role of both Leader as well as Manager.
This document discusses the importance of health information systems (HIS) and how to assess them. It defines HIS as information processing and storage systems that can be within a single institution or across multiple healthcare organizations. HIS are important because they produce data needed by various stakeholders to better manage health services and monitor progress towards health goals. The key components of an HIS include inputs, processes, outputs, and dissemination/use of information. Basic steps for assessing an HIS involve forming terms of reference, collecting and reviewing data, identifying indicators, designing assessment tools, analyzing results, and making recommendations. The document also provides an example assessment of Cameroon's HIS using the WHO Health Metrics Network framework.
How to Assess and Continuously Improve Maturity of Health Information Systems...MEASURE Evaluation
This document describes a new toolkit for assessing and continuously improving health information systems (HIS) to achieve better health outcomes. The toolkit includes:
1) A five-stage scale to measure the maturity of six HIS components, from emerging to optimized.
2) An assessment tool that maps the current and desired future stages to guide improvement planning. It is administered through key informant interviews and a stakeholder workshop.
3) The goal is to help countries strengthen their HIS through a collaborative, participatory process focused on setting priorities and tracking progress over time.
HPSR stands for health policy and systems research. It seeks to understand how societies organize themselves to achieve health goals and how different actors interact in the policy and implementation processes to contribute to health outcomes. It is interdisciplinary, drawing from fields like economics, sociology, and public health. HPSR is distinguished by the issues and questions considered rather than disciplinary base. It focuses on both describing health systems and evaluating them, as well as analyzing policies and the policy-making process. The research considers multiple levels from macro to micro. A range of study designs can be used depending on the question.
A health management information system (HMIS) is defined as a system for collecting, analyzing, and disseminating data regarding health programs and patient health over time. An HMIS aims to provide reliable health information to administrators and officers to inform policies and improve health management, programs, and efficiency. It does so through identifying health indicators, collecting data from various sources, processing the data, and ensuring its use for decision making.
The document discusses Management Information and Evaluation Systems (MIES). It defines key terms like information, systems, information systems, management information systems, and evaluation systems. It also describes the objectives, importance, classification, advantages, and limitations of management information systems. Specific types of health information systems and nursing information systems are explained. The major kinds of evaluation systems - process, output, effects, and short-term impact evaluation - are summarized. Finally, the conclusion states that an MIES helps managers make timely decisions by collecting and using information, and that an effective MIES provides accurate, complete and timely feedback at all organizational levels.
In this full-day tutorial, you will learn basic overview of electronic medical records systems, health data management and how you can use the OpenMRS system for data and information management. We will cover basics of installation, user management, location management, patient dashboards and some interesting features that are provided by different modules. You can see how OpenMRS can be customized with different modules that are suitable for different contexts. This tutorial is helpful for new users and developers who would like to know the features of OpenMRS. Individuals who would like to evaluate and try to see if OpenMRS fits their healthcare needs will also benefit from this tutorial.
1.- MEASURE Evaluation’s HIS Learning Agend.pdfssuser1286552
This document discusses factors that influence health information system (HIS) performance and progression to a strong HIS. It addresses three questions: 1) factors associated with HIS performance progress include leadership engagement, integrated interventions, and feedback systems; 2) progression can be measured across five stages from emerging to optimized; 3) a strong HIS is well-defined, comprehensive, functional, adaptable, and resilient. The document provides information on MEASURE Evaluation's HIS Learning Agenda which seeks to build an evidence base on effective HIS investments.
1. The document discusses the scope, definition, and conceptual model of health information systems (HIS). It describes the progression and maturation of HIS from foundation to use, learning, and change.
2. HIS are used extensively in various organizational and community settings like hospitals, clinics, insurance companies, and public health organizations. They support healthcare delivery, administration, research, and policymaking.
3. The conceptual model shows HIS moving from creating data at their foundation, to using that data through informatics and analytics, leading to knowledge gain, research, and policy and public health impacts.
This document provides an overview and summary of chapters 1 and 2 from a textbook on health information systems and electronic health records. It discusses key topics from the chapters, including:
1. The scope and conceptual model of health information systems, including how systems capture data that can then be used for various purposes like clinical decision support, research, and public health.
2. How health information systems progress over time from foundational technologies to uses of data for learning, knowledge, and driving change.
3. Different uses of health information systems in organizational and community settings like hospitals, clinics, patients' homes, insurance companies, and public health organizations.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
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LESSON 8 Health statistics and data management.ppttheojamesp30
This document defines key health statistics and data management terms and discusses methods for collecting, interpreting, and storing data. It outlines four main methods for data collection: interviews, participant observation, secondary analysis of existing data, and surveys. It also briefly discusses the Health Management Information System (HMIS) in Zambia, which takes a decentralized approach to collecting, analyzing, and using health data to inform decision-making at all levels of the health system. HMIS tools include various registers and analytic tools used to track health indicators and assess performance on a monthly, quarterly, and biannual basis.
2 Health management information system2.pptxssuser504dda
The document defines and discusses health information systems and their importance. It provides definitions of key terms like health information system, management information system, and health management information system. It outlines the importance of health information systems in supporting management functions, decision making, and health system strengthening. It describes the typical components and structure of health information systems, including data collection, management, and use. It also discusses issues that can undermine current health information systems and provides steps to develop and improve such systems.
This document is the thesis submitted by Akumengwa Neba N to the Department of Public Health and Hygiene at the University of Buea in November 2014. The thesis assesses the health information system in Buea Health District. It includes background on health information systems and their components. The study aims to evaluate the adequacy of the health information system and identify priority areas for improvement. The methodology describes a cross-sectional study using interviews and assessment tools. The results found that data management was inadequate while other components were adequate or highly adequate. Key weaknesses identified were in data management, resources, and dissemination/use. Priority areas for improvement included strengthening data management, resources, vital statistics collection, and information analysis and
RHIS3rd year regular generic HI (1).pptxEyobAlemu11
This document provides information about a Routine Health Information Systems course. It includes details about the course name, code, credit hours, target students, and instructor. The course contents cover 8 chapters on topics like health indicators, data sources, disease surveillance, and the District Health Information System (DHIS-2). The document also defines key terms, outlines the components and historical development of health information systems, and discusses the health management information system in Ethiopia.
The document discusses health information systems and their role in supporting health systems. It defines key concepts like health systems, their functions and actors. It describes how health information systems can monitor and manage health system goals like coverage, quality and efficiency. It outlines the different levels of a health services system and how a Routine Health Information System can generate data to support decision making at each level, from individual patient care to national policymaking.
Jennifer Rayner - 2015 CACHC Conference Presentationcachc
This document discusses challenges with collecting and using data from community health centers (CHCs) to demonstrate their impact and value. It outlines how CHCs in Canada have worked to standardize key data elements and develop evaluation frameworks to facilitate collective reporting. While electronic medical records (EMRs) were not initially designed for team-based care, CHCs are finding ways to extract meaningful data to show outcomes. Standardized data allows for comparisons between primary care models and analysis of issues like health equity. Continued collaboration ensures CHCs can effectively measure and communicate their success in improving population health.
"Medical Doctors are Poor Managers". This presentation has tried to do brainstorming for them how to operate as better Health Managers. Leaders lead from the Front. Managers control from the Behind. A Doctor in a facility needs to play the role of both Leader as well as Manager.
This document discusses the importance of health information systems (HIS) and how to assess them. It defines HIS as information processing and storage systems that can be within a single institution or across multiple healthcare organizations. HIS are important because they produce data needed by various stakeholders to better manage health services and monitor progress towards health goals. The key components of an HIS include inputs, processes, outputs, and dissemination/use of information. Basic steps for assessing an HIS involve forming terms of reference, collecting and reviewing data, identifying indicators, designing assessment tools, analyzing results, and making recommendations. The document also provides an example assessment of Cameroon's HIS using the WHO Health Metrics Network framework.
How to Assess and Continuously Improve Maturity of Health Information Systems...MEASURE Evaluation
This document describes a new toolkit for assessing and continuously improving health information systems (HIS) to achieve better health outcomes. The toolkit includes:
1) A five-stage scale to measure the maturity of six HIS components, from emerging to optimized.
2) An assessment tool that maps the current and desired future stages to guide improvement planning. It is administered through key informant interviews and a stakeholder workshop.
3) The goal is to help countries strengthen their HIS through a collaborative, participatory process focused on setting priorities and tracking progress over time.
HPSR stands for health policy and systems research. It seeks to understand how societies organize themselves to achieve health goals and how different actors interact in the policy and implementation processes to contribute to health outcomes. It is interdisciplinary, drawing from fields like economics, sociology, and public health. HPSR is distinguished by the issues and questions considered rather than disciplinary base. It focuses on both describing health systems and evaluating them, as well as analyzing policies and the policy-making process. The research considers multiple levels from macro to micro. A range of study designs can be used depending on the question.
A health management information system (HMIS) is defined as a system for collecting, analyzing, and disseminating data regarding health programs and patient health over time. An HMIS aims to provide reliable health information to administrators and officers to inform policies and improve health management, programs, and efficiency. It does so through identifying health indicators, collecting data from various sources, processing the data, and ensuring its use for decision making.
The document discusses Management Information and Evaluation Systems (MIES). It defines key terms like information, systems, information systems, management information systems, and evaluation systems. It also describes the objectives, importance, classification, advantages, and limitations of management information systems. Specific types of health information systems and nursing information systems are explained. The major kinds of evaluation systems - process, output, effects, and short-term impact evaluation - are summarized. Finally, the conclusion states that an MIES helps managers make timely decisions by collecting and using information, and that an effective MIES provides accurate, complete and timely feedback at all organizational levels.
In this full-day tutorial, you will learn basic overview of electronic medical records systems, health data management and how you can use the OpenMRS system for data and information management. We will cover basics of installation, user management, location management, patient dashboards and some interesting features that are provided by different modules. You can see how OpenMRS can be customized with different modules that are suitable for different contexts. This tutorial is helpful for new users and developers who would like to know the features of OpenMRS. Individuals who would like to evaluate and try to see if OpenMRS fits their healthcare needs will also benefit from this tutorial.
1.- MEASURE Evaluation’s HIS Learning Agend.pdfssuser1286552
This document discusses factors that influence health information system (HIS) performance and progression to a strong HIS. It addresses three questions: 1) factors associated with HIS performance progress include leadership engagement, integrated interventions, and feedback systems; 2) progression can be measured across five stages from emerging to optimized; 3) a strong HIS is well-defined, comprehensive, functional, adaptable, and resilient. The document provides information on MEASURE Evaluation's HIS Learning Agenda which seeks to build an evidence base on effective HIS investments.
1. The document discusses the scope, definition, and conceptual model of health information systems (HIS). It describes the progression and maturation of HIS from foundation to use, learning, and change.
2. HIS are used extensively in various organizational and community settings like hospitals, clinics, insurance companies, and public health organizations. They support healthcare delivery, administration, research, and policymaking.
3. The conceptual model shows HIS moving from creating data at their foundation, to using that data through informatics and analytics, leading to knowledge gain, research, and policy and public health impacts.
This document provides an overview and summary of chapters 1 and 2 from a textbook on health information systems and electronic health records. It discusses key topics from the chapters, including:
1. The scope and conceptual model of health information systems, including how systems capture data that can then be used for various purposes like clinical decision support, research, and public health.
2. How health information systems progress over time from foundational technologies to uses of data for learning, knowledge, and driving change.
3. Different uses of health information systems in organizational and community settings like hospitals, clinics, patients' homes, insurance companies, and public health organizations.
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A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
2. The Issue is not that we need more data….
.. but better use of data
3. HMIS: Definition
A HMIS is a system of record-keeping,
reporting, processing, analysis,
interpretation, use, and feedback of
information.
4. HMIS: Functions
- Provides different levels of
beneficiaries
(clients, community, service
providers, managers, planners
and policy makers)
with timely and relevant information
- Used to formulate policy, to plan, implement,
monitor, supervise and evaluate health-related
activities
(adapted from Campbell, 1997)
5. HMIS provides information on:
–Health status
(through surveillance, surveys)
–Health-related interventions and
services (activities, progress, quality)
(through surveillance, program monitoring
and evaluation)
6. Purposes of HMIS:
Evidence-Based Decision Making
- Monitoring and evaluation of control
programs
- Plan actions, programs, and resources
- To prioritize the allocation of health
resources
- To provide the basis for epidemiological
research
- Accountability
7. Management cycle
Where are we now?
Situation Analysis
Where do we want
to go?
Objectives
Where did we
reach?
Evaluation
Which route shall
we take?
Strategy
Is everything
going according to
plan?
Monitoring
Identifying constraints
Taking action
How shall we
travel there?
Plan of Activities
HMIS
8. M&E Framework in TBCP
Context:
• Political commitment
• Access and utilisation of services
• Socioeconomic conditions
• Epidemiological context (HIV, nutrition)
Input Process Output Outcome Impact
Source: WHO: (2004); Compendium of indicators for monitoring and
evaluating national tuberculosis programs,
9. Problems in HMIS 1: Design
1. Top-down control, leaving out lower level
2. Unclear objectives and targets
3. Too much working time spent on HMIS
4. No guidelines
5. Not enough skills
6. Not enough staff
7. Fragmentation in services
10.
11. Problems in HMIS 2: Collection
Too many records
Too late
Poor quality
Poor lay-out, confusing terminology
Incomplete
Potential exclusion of private and hospitalized
patients
Inflexible data collection
Resistance to change
12. Problems in HMIS 3: (Self-) Assessment
Data not analysed to produce information, but
just forwarded upward
No indicators to assess progress
Presentation not clear, out of date
Management culture does not value information
(decision-making on intuitive or political basis
only)
Political use (coverage = 1 microscope per dist)
13. Problems in HMIS 4: Use
Inadequate training for managers
Data not available for the
right persons at the right time
No feedback to lower levels,
no pressure to use data
Data not used for supervision
Rigid criteria (success rate in the
era of HIV)
14. A good HMIS system:
Provides all information required
Is easy to implement
Requires minimal staff time
Is consistent with other management and
recording systems in place
Is useful for all stakeholders and is used
15. Group work HMIS - challenges
Question 1a: What are the main
challenges in your country regarding
design of the HMIS?
Question 1b: What solutions do you
suggest?
16. Group work HMIS - challenges
Question 2a: What are the main
challenges in your country regarding the
collection and quality of data that you
receive?
Question 2b: What solutions do you
suggest?
17. Group work HMIS - challenges
Question 3a: What are the main
challenges in your country regarding the
use of data collected on TB
management?
Question 1b: What solutions do you
suggest?
