scholarly journals CAF and CAMM analyses on the first 10 years of national Kanta services in Finland

2020 ◽  
Vol 12 (4) ◽  
Author(s):  
Vesa Jormanainen ◽  
Jarmo Reponen

We report the large-scale deployment, implementation and adoption of the nationwide centralized integrated and shared Kanta health information services by using the Clinical Adoption Framework (CAF). The meso and macro level dimensions of the CAF were incorporated early into our e-health evaluation framework to assess Health Information System (HIS) implementation at the national level. We found strong support for the CAF macro level model concepts in Finland. Typically, development programs were followed by government policy commitments, appropriate legislation and state budget funding before the CAF meso level implementation activities. Our quantitative data point to the fact that implementing large-scale health information technology (HIT) systems in practice is a rather long process. For HIT systems success in particular citizens’ and professionals’ acceptance are essential. When implementation of the national health information systems was evaluated against Clinical Adoption Meta-Model (CAMM), the results show that Finland has already passed many milestones in CAMM archetypes. According to our study results, Finland seems to be a good laboratory entity to study practical execution of HIT systems, CAF and CAMM theoretical constructs can be used for national level HIS implementation evaluation.

2014 ◽  
Vol 23 (01) ◽  
pp. 67-81 ◽  
Author(s):  
J. Kaipio ◽  
M. Nieminen ◽  
H. Hyppönen ◽  
T. Lääveri ◽  
C. Nohr ◽  
...  

Summary Objectives: The objective of this paper is to explore approaches to understanding the usability of health information systems at regional and national levels. Methods: Several different methods are discussed in case studies from Denmark, Finland and Canada. They range from small scale qualitative studies involving usability testing of systems to larger scale national level questionnaire studies aimed at assessing the use and usability of health information systems by entire groups of health professionals. Results: It was found that regional and national usability studies can complement smaller scale usability studies, and that they are needed in order to understand larger trends regarding system usability. Despite adoption of EHRs, many health professionals rate the usability of the systems as low. A range of usability issues have been noted when data is collected on a large scale through use of widely distributed questionnaires and websites designed to monitor user perceptions of usability. Conclusion: As health information systems are deployed on a widespread basis, studies that examine systems used regionally or nationally are required. In addition, collection of large scale data on the usability of specific IT products is needed in order to complement smaller scale studies of specific systems.


Author(s):  
Saptarshi Purkayastha

In the context of developing countries, there is a mounting interest in the field of mHealth. This surge in interest can be traced to the evolution of several interrelated trends (VW Consulting, 2009). However, with numerous attempts to create mobile-based technology for health, too many experiments and projects have not been able to scale or sustain. How is it possible to design and implement scalable and sustainable mHealth applications in low resource settings and emerging markets?. This chapter provides lessons from case studies of two successful and large scale implementations of mHealth solutions and the choices that were made in the design and implementation of those solutions. The chapter uses Information Infrastructure Theory as a theoretical lens to discuss reasons why these projects have been able to successfully scale.


2012 ◽  
pp. 689-713
Author(s):  
Saptarshi Purkayastha

In the context of developing countries, there is a mounting interest in the field of mHealth. This surge in interest can be traced to the evolution of several interrelated trends (VW Consulting, 2009). However, with numerous attempts to create mobile-based technology for health, too many experiments and projects have not been able to scale or sustain. How is it possible to design and implement scalable and sustainable mHealth applications in low resource settings and emerging markets?. This chapter provides lessons from case studies of two successful and large scale implementations of mHealth solutions and the choices that were made in the design and implementation of those solutions. The chapter uses Information Infrastructure Theory as a theoretical lens to discuss reasons why these projects have been able to successfully scale.


2018 ◽  
Vol 5 (1) ◽  
pp. 23-52
Author(s):  
Melina S. De Lima ◽  
Eduardo B. De Amôres ◽  
José Vicente C. Santos ◽  
Vera A. F. Martin

Various studies have noted current shortcomings in the teaching and learning of science in schools, and the results of large-scale tests show that despite heavy investment in education, Brazilians' understanding of science test scores typically fall short of what could be if students had a consistent, high-quality basic education. This article summarizes the teaching plan and systematic study results for an activity titled "What’s That Object?" implemented in the city of Salvador, Bahia state, Brazil, in 2015. Astronomical concepts were taught, and the Aladin software was used in the lessons, which included two computerized memory games produced for this activity.We believe that the results lend strong support to the notion that astronomy education can be improved and motivates educators to teach astronomical concepts at the elementary school level.


2006 ◽  
Vol 55 (Supplement 1) ◽  
pp. S37-S42 ◽  
Author(s):  
David Kaufman ◽  
Wm. Dan Roberts ◽  
Jacqueline Merrill ◽  
Tsai-Ya Lai ◽  
Suzanne Bakken

Author(s):  
Vicky Liu ◽  
William Caelli ◽  
Yu-Nien Maggie Chen

An increasing number of countries are faced with an aging population increasingly needing healthcare services. For any e-health information system, the need for increased trust by such clients with potentially little knowledge of any security scheme involved is paramount. In addition notable scalability of any system has become a critical aspect of system design, development and ongoing management. Meanwhile cryptographic systems provide the security provisions needed for confidentiality, authentication, integrity and non-repudiation. Cryptographic key management, however, must be secure, yet efficient and effective in developing an attitude of trust in system users. Digital certificate-based Public Key Infrastructure has long been the technology of choice or availability for information security/assurance; however, there appears to be a notable lack of successful implementations and deployments globally. Moreover, recent issues with associated Certificate Authority security have damaged trust in these schemes. This paper proposes the adoption of a centralised public key registry structure, a non-certificate based scheme, for large scale e-health information systems. The proposed structure removes complex certificate management, revocation and a complex certificate validation structure while maintaining overall system security. Moreover, the registry concept may be easier for both healthcare professionals and patients to understand and trust.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Pierre Muhoza ◽  
Roger Tine ◽  
Adama Faye ◽  
Ibrahima Gaye ◽  
Scott L. Zeger ◽  
...  

Abstract Background As the global burden of malaria decreases, routine health information systems (RHIS) have become invaluable for monitoring progress towards elimination. The District Health Information System, version 2 (DHIS2) has been widely adopted across countries and is expected to increase the quality of reporting of RHIS. In this study, we evaluated the quality of reporting of key indicators of childhood malaria from January 2014 through December 2017, the first 4 years of DHIS2 implementation in Senegal. Methods Monthly data on the number of confirmed and suspected malaria cases as well as tests done were extracted from the Senegal DHIS2. Reporting completeness was measured as the number of monthly reports received divided by the expected number of reports in a given year. Completeness of indicator data was measured as the percentage of non-missing indicator values. We used a quasi-Poisson model with natural cubic spline terms of month of reporting to impute values missing at the facility level. We used the imputed values to take into account the percentage of malaria cases that were missed due to lack of reporting. Consistency was measured as the absence of moderate and extreme outliers, internal consistency between related indicators, and consistency of indicators over time. Results In contrast to public facilities of which 92.7% reported data in the DHIS2 system during the study period, only 15.3% of the private facilities used the reporting system. At the national level, completeness of facility reporting increased from 84.5% in 2014 to 97.5% in 2017. The percentage of expected malaria cases reported increased from 76.5% in 2014 to 94.7% in 2017. Over the study period, the percentage of malaria cases reported across all districts was on average 7.5% higher (P < 0.01) during the rainy season relative to the dry season. Reporting completeness rates were lower among hospitals compared to health centers and health posts. The incidence of moderate and extreme outlier values was 5.2 and 2.3%, respectively. The number of confirmed malaria cases increased by 15% whereas the numbers of suspected cases and tests conducted more than doubled from 2014 to 2017 likely due to a policy shift towards universal testing of pediatric febrile cases. Conclusions The quality of reporting for malaria indicators in the Senegal DHIS2 has improved over time and the data are suitable for use to monitor progress in malaria programs, with an understanding of their limitations. Senegalese health authorities should maintain the focus on broader adoption of DHIS2 reporting by private facilities, the sustainability of district-level data quality reviews, facility-level supervision and feedback mechanisms at all levels of the health system.


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