Towards an Electronic Health Record System in Vietnam: A Core Readiness Assessment

• URL: http://arxiv.org/abs/2005.14248v1
• Date: Thu, 28 May 2020 19:11:51 GMT
• Title: Towards an Electronic Health Record System in Vietnam: A Core Readiness Assessment
• Authors: Stefan Hochwarter, Do Duy Cuong, Nguyen Thi Kim Chuc, Mattias Larsson
• Abstract summary: The aim of this study is to initiate a carefully planned nationwide EHR system in Vietnam by assessing the core readiness. To collect data, participant observation, document analysis and an in-depth interview were used. The Ministry of Health is currently working on improving the conditions for future implementation of a Vietnamese EHR system.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Previous studies have shown that health information technologies have a positive impact on health systems. Electronic health record (EHR) systems are one of the most promising applications, demonstrating a positive effect in high income countries. On the other hand, robust evidence for low and middle income countries is still spare. The aim of this study is to initiate a carefully planned nationwide EHR system in Vietnam by assessing the core readiness. The assessment structure is mainly based on previous research, which recommends a readiness assessment prior to to an EHR system implementation. To collect data, participant observation, document analysis and an in-depth interview were used. This study has revealed new insights into the current situation on EHR in Vietnam. The Ministry of Health is currently working on improving the conditions for future implementation of a Vietnamese EHR system. There are issues with the current way of handling health records. These issues are encouraging the Ministry of Health to work on identifying the next steps for an EHR system implementation. The integration of an EHR system with current systems seems to be challenging as most systems are commercial, closed source and very likely have no standardised interface. In conclusion, this study identifies points which need to be further investigated prior to an implementation. Generally, health care workers show good awareness of new technologies. As the Vietnam's health care system is centrally organised, there is the possibility for a nation-wide implementation. This could have a positive impact on the health care system, however, besides rigours planning also standards need to be followed and common interfaces implemented. Finally, this assessment has focused on only one level of readiness assessment. Further research is needed to complete the assessment.

Related papers

• Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia [1.9058065795191268]
  South Asian countries are working to improve their primary healthcare system. Data-driven surveillance approaches are required. We propose to harness current breakthroughs in Earth-observation technology.
  arXiv  Detail & Related papers  (2024-09-21T16:50:16Z)
• Recent Advances in Predictive Modeling with Electronic Health Records [71.19967863320647]
  utilizing EHR data for predictive modeling presents several challenges due to its unique characteristics. Deep learning has demonstrated its superiority in various applications, including healthcare.
  arXiv  Detail & Related papers  (2024-02-02T00:31:01Z)
• A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises [52.31710895034573]
  This work provides the first comprehensive review of healthcare knowledge graphs (HKGs) It summarizes the pipeline and key techniques for HKG construction, as well as the common utilization approaches. At the application level, we delve into the successful integration of HKGs across various health domains.
  arXiv  Detail & Related papers  (2023-06-07T21:51:56Z)
• Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit [10.764842579064636]
  Social determinants of health (SDOH) play a crucial role in a person's health and well-being. Most risk prediction models based on electronic health records do not incorporate a comprehensive set of SDOH features. Our work links a publicly available EHR database, MIMIC-IV, to well-documented SDOH features.
  arXiv  Detail & Related papers  (2023-05-22T01:27:51Z)
• The Design and Implementation of a National AI Platform for Public Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
  The Italian National Health Service is adopting Artificial Intelligence through its technical agencies. Such a vast programme requires special care in formalising the knowledge domain. Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
  arXiv  Detail & Related papers  (2023-04-24T08:00:02Z)
• Privacy-preserving machine learning for healthcare: open challenges and future perspectives [72.43506759789861]
  We conduct a review of recent literature concerning Privacy-Preserving Machine Learning (PPML) for healthcare. We primarily focus on privacy-preserving training and inference-as-a-service. The aim of this review is to guide the development of private and efficient ML models in healthcare.
  arXiv  Detail & Related papers  (2023-03-27T19:20:51Z)
• Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO) [19.90090257979115]
  Social determinants of health (SDoH) have a significant impact on health outcomes and well-being. We propose an SDoH ontology (SDoHO) which represents fundamental SDoH factors and their relationships in a standardized and measurable way.
  arXiv  Detail & Related papers  (2022-12-04T22:23:30Z)
• Fairness in Recommender Systems: Research Landscape and Future Directions [119.67643184567623]
  We review the concepts and notions of fairness that were put forward in the area in the recent past. We present an overview of how research in this field is currently operationalized. Overall, our analysis of recent works points to certain research gaps.
  arXiv  Detail & Related papers  (2022-05-23T08:34:25Z)
• EHealth Technologies Integration with Healthcare Work Activities in Public Hospitals: A Critical Realist Perspective [0.0]
  Integration of eHealth technologies with healthcare work activities has seen great advancement in many healthcare systems in developing countries. These efforts have been tainted by several challenges such as fragmentation, lack of standardization and co-ordination. The aim of this paper is to explain why the current integration efforts do not adequately facilitate healthcare work activities in public hospitals in under-served contexts of South Africa.
  arXiv  Detail & Related papers  (2021-08-22T14:28:37Z)
• Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis [0.2936007114555107]
  We aim to set out a minimally viable framework for evaluating the safety, acceptability and efficacy of AI systems for healthcare. We do this by conducting a systematic search across Scopus, PubMed and Google Scholar. The result is a framework to guide AI system developers, policymakers, and regulators through a sufficient evaluation of an AI system designed for use in healthcare.
  arXiv  Detail & Related papers  (2021-04-14T15:00:39Z)
• CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 [111.69190108272133]
  The coronavirus disease 2019 poses the threat of overwhelming healthcare systems with unprecedented demands for intensive care resources. We developed the COVID-19 Capacity Planning and Analysis System (CPAS) - a machine learning-based system for hospital resource planning. CPAS is one of the first machine learning-based systems to be deployed in hospitals on a national scale to address the COVID-19 pandemic.
  arXiv  Detail & Related papers  (2020-07-27T19:39:13Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.