From the paper the following challenges are identified –
1) The vast amount of data that is generated from various sources (such as electronic health records, social media, wearable devices, etc.) can be difficult to handle and analyze.
2) The quality and reliability of data may vary depending on the source
3) The data can be complex and multi-dimensional, making it difficult to extract relevant information
4) There may be a lack of standardization in the data, making it difficult to compare or combine information from different sources
5) There may be privacy and security concerns related to the collection and use of big data
6) The integration of big data into clinical care can present challenges for medical professionals in terms of data interpretation and integration into clinical decision-making
7) Limited resources and knowledge may make it difficult to fully take advantage of the potential of big data in cardiovascular research and clinical care.
Let me use Myanmar as a case to share my views on how to cope with those challenges –
a in Myanmar:
1) Data management and governance: Develop a robust data management and governance infrastructure that includes data storage, security, and privacy protocols to ensure the safe and secure handling of data. This will also help to ensure the quality and reliability of the data.
2) Data analysis and visualization: Utilize advanced data analysis and visualization tools to make sense of the vast amount of data. This can include machine learning, natural language processing, and data visualization techniques to help extract relevant information and make it more understandable for decision-makers.
3) Data standards and interoperability: Establish data standards and interoperability protocols to facilitate the sharing and integration of data from different sources. This can help to overcome the lack of standardization and make it easier to compare and combine information from different sources.
4) Training and capacity building: Invest in training and capacity building for health professionals and researchers to help them navigate the complexities of big data and use it effectively.
5) Collaboration and partnerships: Develop partnerships and collaborations with other stakeholders, such as universities, research institutes, and private companies, to share expertise and resources and help to address the challenges of big data in Myanmar.
6) Addressing Digital divide : with the internet connectivity being limited in certain area and digital literacy being low in certain group of society, it is important to address digital divide and empower those who are at disadvantage. This could include providing digital literacy training, increasing internet connectivity in under-served areas, and establishing digital health clinics.
7) To address the challenge of privacy and security concerns, one suggestion would be to implement robust security and privacy protocols to protect the data from unauthorized access or breaches. This can include measures such as data encryption, secure data storage and access controls, and regular data security audits.
8) To address the challenge of data interpretation and integration into clinical decision-making, one suggestion would be to provide training and education for medical professionals on the use of big data in clinical care, including data interpretation and integration into clinical decision-making.
9) To address the challenge of limited resources and knowledge, one suggestion would be to collaborate with other organizations and institutions, such as universities and research centers, to leverage their expertise, resources, and infrastructure. It may also be beneficial to explore external funding options and government funding opportunities to support big data research and implementation in Myanmar.