�ݺ�ߣshows by User: imeasangansi

�ݺ�ߣshows by User: imeasangansi / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: imeasangansi / Tue, 22 Oct 2013 17:43:51 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: imeasangansi Improving the Routine HMIS in Nigeria through Mobile Technology for Community Data Collection /imeasangansi/100-3631pb-27468049 100-363-1-pb-131022174351-phpapp02
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]]> Tue, 22 Oct 2013 17:43:51 GMT /imeasangansi/100-3631pb-27468049 imeasangansi@slideshare.net(imeasangansi) Improving the Routine HMIS in Nigeria through Mobile Technology for Community Data Collection imeasangansi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/100-363-1-pb-131022174351-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Improving the Routine HMIS in Nigeria through Mobile Technology for Community Data Collection from Ime Asangansi, MD, PhD

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0 Understanding hmis implementation in a developing country ministry of health context an institutional logics perspective /imeasangansi/understanding-hmis-implementation-in-a-developing-country-ministry-of-health-context-an-institutional-logics-perspective understandinghmisimplementationinadevelopingcountryministryofhealthcontext-aninstitutionallogicsperspective-130109172856-phpapp01
Abstract Globally, health management information systems (HMIS) have been hailed as important tools for health reform (1). However, their implementation has become a major challenge for researchers and practitioners because of the significant proportion of failure of implementation efforts (2; 3). Researchers have attributed this significant failure of HMIS implementation, in part, to the complexity of meeting with and satisfying multiple (poorly understood) logics in the implementation process. This paper focuses on exploring the multiple logics, including how they may conflict and affect the HMIS implementation process. Particularly, I draw on an institutional logics perspective to analyze empirical findings from an action research project, which involved HMIS implementation in a state government Ministry of Health in (Northern) Nigeria. The analysis highlights the important HMIS institutional logics, where they conflict and how they are resolved. I argue for an expanded understanding of HMIS implementation that recognizes various institutional logics that participants bring to the implementation process, and how these are inscribed in the decision making process in ways that may be conflicting, and increasing the risk of failure. Furthermore, I propose that the resolution of conflicting logics can be conceptualized as involving deinstitutionalization, changeover resolution or dialectical resolution mechanisms. I conclude by suggesting that HMIS implementation can be improved by implementation strategies that are made based on an understanding of these conflicting logics.]]>
Abstract Globally, health management information systems (HMIS) have been hailed as important tools for health reform (1). However, their implementation has become a major challenge for researchers and practitioners because of the significant proportion of failure of implementation efforts (2; 3). Researchers have attributed this significant failure of HMIS implementation, in part, to the complexity of meeting with and satisfying multiple (poorly understood) logics in the implementation process. This paper focuses on exploring the multiple logics, including how they may conflict and affect the HMIS implementation process. Particularly, I draw on an institutional logics perspective to analyze empirical findings from an action research project, which involved HMIS implementation in a state government Ministry of Health in (Northern) Nigeria. The analysis highlights the important HMIS institutional logics, where they conflict and how they are resolved. I argue for an expanded understanding of HMIS implementation that recognizes various institutional logics that participants bring to the implementation process, and how these are inscribed in the decision making process in ways that may be conflicting, and increasing the risk of failure. Furthermore, I propose that the resolution of conflicting logics can be conceptualized as involving deinstitutionalization, changeover resolution or dialectical resolution mechanisms. I conclude by suggesting that HMIS implementation can be improved by implementation strategies that are made based on an understanding of these conflicting logics.]]> Wed, 09 Jan 2013 17:28:56 GMT /imeasangansi/understanding-hmis-implementation-in-a-developing-country-ministry-of-health-context-an-institutional-logics-perspective imeasangansi@slideshare.net(imeasangansi) Understanding hmis implementation in a developing country ministry of health context an institutional logics perspective imeasangansi Abstract Globally, health management information systems (HMIS) have been hailed as important tools for health reform (1). However, their implementation has become a major challenge for researchers and practitioners because of the significant proportion of failure of implementation efforts (2; 3). Researchers have attributed this significant failure of HMIS implementation, in part, to the complexity of meeting with and satisfying multiple (poorly understood) logics in the implementation process. This paper focuses on exploring the multiple logics, including how they may conflict and affect the HMIS implementation process. Particularly, I draw on an institutional logics perspective to analyze empirical findings from an action research project, which involved HMIS implementation in a state government Ministry of Health in (Northern) Nigeria. The analysis highlights the important HMIS institutional logics, where they conflict and how they are resolved. I argue for an expanded understanding of HMIS implementation that recognizes various institutional logics that participants bring to the implementation process, and how these are inscribed in the decision making process in ways that may be conflicting, and increasing the risk of failure. Furthermore, I propose that the resolution of conflicting logics can be conceptualized as involving deinstitutionalization, changeover resolution or dialectical resolution mechanisms. I conclude by suggesting that HMIS implementation can be improved by implementation strategies that are made based on an understanding of these conflicting logics. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/understandinghmisimplementationinadevelopingcountryministryofhealthcontext-aninstitutionallogicsperspective-130109172856-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Abstract Globally, health management information systems (HMIS) have been hailed as important tools for health reform (1). However, their implementation has become a major challenge for researchers and practitioners because of the significant proportion of failure of implementation efforts (2; 3). Researchers have attributed this significant failure of HMIS implementation, in part, to the complexity of meeting with and satisfying multiple (poorly understood) logics in the implementation process. This paper focuses on exploring the multiple logics, including how they may conflict and affect the HMIS implementation process. Particularly, I draw on an institutional logics perspective to analyze empirical findings from an action research project, which involved HMIS implementation in a state government Ministry of Health in (Northern) Nigeria. The analysis highlights the important HMIS institutional logics, where they conflict and how they are resolved. I argue for an expanded understanding of HMIS implementation that recognizes various institutional logics that participants bring to the implementation process, and how these are inscribed in the decision making process in ways that may be conflicting, and increasing the risk of failure. Furthermore, I propose that the resolution of conflicting logics can be conceptualized as involving deinstitutionalization, changeover resolution or dialectical resolution mechanisms. I conclude by suggesting that HMIS implementation can be improved by implementation strategies that are made based on an understanding of these conflicting logics.

Understanding hmis implementation in a developing country ministry of health context an institutional logics perspective from Ime Asangansi, MD, PhD

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0 Linking clinical workforce skill mix planning to health and health care dynamics /slideshow/linking-clinical-workforce-skill-mix-planning-to-health-and-health-care-dynamics/15201465 mcdonnell2008linkingclinicalworkforceskillmixplanningtohealthandhealthcaredynamics-121115210807-phpapp01
Current health workforce planning methods are inadequate for the complexity of the task. Most approaches treat the workforce supply of individual health professions in isolation and avoid quantifying the impact of changes in skills mix, either planned or unplanned. The causes and consequences of task delegation and task substitution between or within health professions is particularly important in handling workforce shortages in developing countries and understanding and planning possible responses to both rapid catastrophic health demands and slower background trends in their social and political environment. As well as the contextual environment, interactions and delays in supplying and balancing health resources and configuring clinical services are required to address the geographic, profession-specific and quality imbalances. These supply side resources include knowledge and research, skills and attitudes of clinicians, buildings and equipment, medications and medical technologies, information and communications technologies and any other methods and models to improve the provision of clinical services. The interaction between demand and supply could adjust for feedbacks of health services outcomes, policies and governance on population expectations, funding, political and social supports and explicitly link these to clinical workforce supply in a useful, rigorous and relevant tool. The challenge is capture the relevant essence of the dynamic complexity of health and healthcare for this purpose. ]]>
Current health workforce planning methods are inadequate for the complexity of the task. Most approaches treat the workforce supply of individual health professions in isolation and avoid quantifying the impact of changes in skills mix, either planned or unplanned. The causes and consequences of task delegation and task substitution between or within health professions is particularly important in handling workforce shortages in developing countries and understanding and planning possible responses to both rapid catastrophic health demands and slower background trends in their social and political environment. As well as the contextual environment, interactions and delays in supplying and balancing health resources and configuring clinical services are required to address the geographic, profession-specific and quality imbalances. These supply side resources include knowledge and research, skills and attitudes of clinicians, buildings and equipment, medications and medical technologies, information and communications technologies and any other methods and models to improve the provision of clinical services. The interaction between demand and supply could adjust for feedbacks of health services outcomes, policies and governance on population expectations, funding, political and social supports and explicitly link these to clinical workforce supply in a useful, rigorous and relevant tool. The challenge is capture the relevant essence of the dynamic complexity of health and healthcare for this purpose. ]]> Thu, 15 Nov 2012 21:08:05 GMT /slideshow/linking-clinical-workforce-skill-mix-planning-to-health-and-health-care-dynamics/15201465 imeasangansi@slideshare.net(imeasangansi) Linking clinical workforce skill mix planning to health and health care dynamics imeasangansi Current health workforce planning methods are inadequate for the complexity of the task. Most approaches treat the workforce supply of individual health professions in isolation and avoid quantifying the impact of changes in skills mix, either planned or unplanned. The causes and consequences of task delegation and task substitution between or within health professions is particularly important in handling workforce shortages in developing countries and understanding and planning possible responses to both rapid catastrophic health demands and slower background trends in their social and political environment. As well as the contextual environment, interactions and delays in supplying and balancing health resources and configuring clinical services are required to address the geographic, profession-specific and quality imbalances. These supply side resources include knowledge and research, skills and attitudes of clinicians, buildings and equipment, medications and medical technologies, information and communications technologies and any other methods and models to improve the provision of clinical services. The interaction between demand and supply could adjust for feedbacks of health services outcomes, policies and governance on population expectations, funding, political and social supports and explicitly link these to clinical workforce supply in a useful, rigorous and relevant tool. The challenge is capture the relevant essence of the dynamic complexity of health and healthcare for this purpose. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mcdonnell2008linkingclinicalworkforceskillmixplanningtohealthandhealthcaredynamics-121115210807-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Current health workforce planning methods are inadequate for the complexity of the task. Most approaches treat the workforce supply of individual health professions in isolation and avoid quantifying the impact of changes in skills mix, either planned or unplanned. The causes and consequences of task delegation and task substitution between or within health professions is particularly important in handling workforce shortages in developing countries and understanding and planning possible responses to both rapid catastrophic health demands and slower background trends in their social and political environment. As well as the contextual environment, interactions and delays in supplying and balancing health resources and configuring clinical services are required to address the geographic, profession-specific and quality imbalances. These supply side resources include knowledge and research, skills and attitudes of clinicians, buildings and equipment, medications and medical technologies, information and communications technologies and any other methods and models to improve the provision of clinical services. The interaction between demand and supply could adjust for feedbacks of health services outcomes, policies and governance on population expectations, funding, political and social supports and explicitly link these to clinical workforce supply in a useful, rigorous and relevant tool. The challenge is capture the relevant essence of the dynamic complexity of health and healthcare for this purpose.

Linking clinical workforce skill mix planning to health and health care dynamics from Ime Asangansi, MD, PhD

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0 Forging a (ehealth) health Information System - A Multi-Axial enterprise approach /slideshow/presentation-ime-asangansi/13169876 presentationimeasangansi-120601232459-phpapp02
Forging a (ehealth) health Information System - A Multi-Axial enterprise approach]]>
Forging a (ehealth) health Information System - A Multi-Axial enterprise approach]]> Fri, 01 Jun 2012 23:24:58 GMT /slideshow/presentation-ime-asangansi/13169876 imeasangansi@slideshare.net(imeasangansi) Forging a (ehealth) health Information System - A Multi-Axial enterprise approach imeasangansi Forging a (ehealth) health Information System - A Multi-Axial enterprise approach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationimeasangansi-120601232459-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Forging a (ehealth) health Information System - A Multi-Axial enterprise approach

Forging a (ehealth) health Information System - A Multi-Axial enterprise approach from Ime Asangansi, MD, PhD

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0 The Emergence of Mobile-Supported National Health Information Systems in Developing Countries by Ime Asangansi, Kristin Braa /slideshow/emergence-mhealth-mobile-national-health-information-systems-developing-countries-nigeria/13169858 emergencemhealthmobilenationalhealthinformationsystemsdevelopingcountriesnigeria-120601232005-phpapp02
paper on ( mobile health ) mhealth based health information systems ( ehealth ) in low and middle income ( developing ) countries http://www.ncbi.nlm.nih.gov/pubmed/20841745]]>
paper on ( mobile health ) mhealth based health information systems ( ehealth ) in low and middle income ( developing ) countries http://www.ncbi.nlm.nih.gov/pubmed/20841745]]> Fri, 01 Jun 2012 23:20:03 GMT /slideshow/emergence-mhealth-mobile-national-health-information-systems-developing-countries-nigeria/13169858 imeasangansi@slideshare.net(imeasangansi) The Emergence of Mobile-Supported National Health Information Systems in Developing Countries by Ime Asangansi, Kristin Braa imeasangansi paper on ( mobile health ) mhealth based health information systems ( ehealth ) in low and middle income ( developing ) countries http://www.ncbi.nlm.nih.gov/pubmed/20841745 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/emergencemhealthmobilenationalhealthinformationsystemsdevelopingcountriesnigeria-120601232005-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> paper on ( mobile health ) mhealth based health information systems ( ehealth ) in low and middle income ( developing ) countries http://www.ncbi.nlm.nih.gov/pubmed/20841745

The Emergence of Mobile-Supported National Health Information Systems in Developing Countries by Ime Asangansi, Kristin Braa from Ime Asangansi, MD, PhD

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0 https://cdn.slidesharecdn.com/profile-photo-imeasangansi-48x48.jpg?cb=1528221224 eHealth/mHealth executive and entrepreneur with a multidisciplinary background spanning different areas: - Health Informatics consulting (over 10 years of experience) - Medicine & Surgery (MD, with practical experience in Nigeria); - Information Systems Research (completed 5-year PhD in Informatics at the University of Oslo, Norway - thesis involved Public Health, Information Technology & Sociopolitical Theory) - Software Engineering - Web, Mobile, Java – Sun/Oracle-certified programmer (since 2006) with experience from multiple projects). Committed to a vision of improving healthcare in challenging settings through invention and innovation in the design, development, implementation an... http://asangansi.wordpress.com https://cdn.slidesharecdn.com/ss_thumbnails/100-363-1-pb-131022174351-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds imeasangansi/100-3631pb-27468049 Improving the Routine ... https://cdn.slidesharecdn.com/ss_thumbnails/understandinghmisimplementationinadevelopingcountryministryofhealthcontext-aninstitutionallogicsperspective-130109172856-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds imeasangansi/understanding-hmis-implementation-in-a-developing-country-ministry-of-health-context-an-institutional-logics-perspective Understanding hmis imp... https://cdn.slidesharecdn.com/ss_thumbnails/mcdonnell2008linkingclinicalworkforceskillmixplanningtohealthandhealthcaredynamics-121115210807-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/linking-clinical-workforce-skill-mix-planning-to-health-and-health-care-dynamics/15201465 Linking clinical workf...