Knowledge management implementation and the tools utilized in healthcare for evidence-based decision making: a systematic review

Background: Healthcare is a knowledge driven process and thus knowledge management and the tools to manage knowledge in healthcare sector are gaining attention. The aim of this systematic review is to investigate knowledge management implementation and knowledge management tools used in healthcare for informed decision making.Methods: Three databases, two journals websites and Google Scholar were used as sources for the review. The key terms used to search relevant articles include: “Healthcare and Knowledge Management”; “Knowledge Management Tools in Healthcare” and “Community of Practices in healthcare”.Results: It was found that utilization of knowledge management in healthcare is encouraging. There exist numbers of opportunities for knowledge management implementation, though there are some barriers as well. Some of the opportunities that can transform healthcare are advances in health information and communication technology, clinical decision support systems, electronic health record systems, communities of practice and advanced care planning.Conclusion: Providing the right knowledge at the right time, i.e., at the point of decision making by implementing knowledge management in healthcare is paramount. To do so, it is very important to use appropriate tools for knowledge management and user-friendly system because it can significantly improve the quality and safety of care provided for patients both at hospital and home settings.Keywords: Knowledge management, tools, evidence-based medical practice, healthcare, informed decision makin

Developing a Prototype Knowledge-Based System for Diagnosis and Treatment of Diabetes Using Data Mining Techniques

BACKGROUND: Diabetes is a disease that affects the body’s ability to produce or use insulin. A total of 425 million people are suffering from diabetes in the world. Of this, more than 16 million people live in the Africa Region, which is estimated to be around 41 million by 2045. The main objective of this study was to design and develop a prototype knowledge-based system using data mining techniques for diagnosis and treatment of diabetes.METHODS: For this study, experimental research design was employed, and the researchers used domain expert knowledge as a supplement of data mining techniques whereby three classification algorithms in WEKA; namely J48, PART and JRip were used, and finally the researchers decided to use the results of J48 classification algorithm. Ultimate Visual basic studio 2013 (Vb.net) was used to store knowledge and as front side of prototype. Common lisp prolog (Clisp) was used for obtained knowledge back end coding.RESULTS: Using a decision tree algorithm; namely J48, 2512 (95.1515%) of the instances were classified correctly, and 128 (4.8485 %) were classified incorrectly. The second most performing model was generated by JRip Classier. This model scored the 94.7348% accuracy on the general data to classify the status of diabetic patient datasets. It classified the 2501 instances of the records correctly.CONCLUSION: The J48 model was the best performing model with the best accuracy of results.&nbsp

Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review

Background Electronic health record (EHR) systems are mentioned in several studies as tools for improving healthcare quality in developed and developing nations. However, there is a research gap in presenting the status of EHR adoption in low-income countries (LICs). Therefore, this study systematically reviews articles that discuss the adoption of EHR systems status, opportunities and challenges for improving healthcare quality in LICs.Methods We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses in articles selected from PubMed, Science Direct, IEEE Xplore, citations and manual searches. We focused on peer-reviewed articles published from January 2017 to 30 September 2022, and those focusing on the status, challenges or opportunities of EHR adoption in LICs. However, we excluded articles that did not consider EHR in LICs, reviews or secondary representations of existing knowledge. Joanna Briggs Institute checklists were used to appraise the articles to minimise the risk of bias.Results We identified 12 studies for the review. The finding indicated EHR systems are not well implemented and are at a pilot stage in various LICs. The barriers to EHR adoption were poor infrastructure, lack of management commitment, standards, interoperability, support, experience and poor EHR systems. However, healthcare providers’ perception, their goodwill to use EMR and the immaturity of health information exchange infrastructure are key facilitators for EHR adoption in LICs.Conclusion Most LICs are adopting EHR systems, although it is at an early stage of implementation. EHR systems adoption is facilitated or influenced by people, environment, tools, tasks and the interaction among these factors

Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges