Based on viewing and reading the articles that the instructors mentioned. I have found that Dr. Piya discusses and focuses on benefits of big health data and three key challenging areas that related to Health Informatics. First, the increasing volume of health data create both a burden and an opportunity for health systems. Second, there is a challenge in using information to create value for health services. Third, Dr. Piya addresses how data and information can be utilized to enhance overall health system performance. Additionally, there are challenges associated with big health data according to the paper by Silverio et al, including missing data, selection bias, data analysis and training, interpretation and translational applicability of results, and privacy and ethical concerns.
My own suggestions on coping with these challenges are the following:
– Data quality implementation, this could create data validation procedures and conduct regular audits to ensure the standardization of the collected information. This can help to measure and raise the issues such as missing data and inaccuracies. For example, to ensure high-quality data within an EHR system to support clinical decision-making and research, to implement this is to develop standardized protocols for data entry with clear guidelines for healthcare professionals on how to accurately record patient information + to integrate with CDSS systems that utilize on high-quality data to provide evidence-based recommendations + to implement real-time data validation checks and regular audits of data entry + to implement interoperability standards between different healthcare systems + to build patient engagement by allowing individuals to review and update their own health information and educate them on the importance of accurate record-keeping.
– Ethical data use, privacy and security, this could develop clear consent processes by allowing patients to opt-in or opt-out based on their preferences and availability, leading patient and public trust and complying with regulatory requirements + to implement data governance policies that restrict data sharing to ensuring that only necessary data is exchanged + to implement cybersecurity measurement, encryption protocols and security audits.
– Training and collaboration, this could develop strategies for breaking down silos such as introducing joint training sessions, workshops and virtual training that encourage open communication and diverse trainings scheduled among healthcare professionals to ensure can effectively use the available tools and follow the procedures as per protocol + to develop clear evaluation criteria, including patient outcome measures, team performance assessments and staff satisfaction surveys + to support for leadership commitment to interprofessional education and highlight the benefits to patient outcomes and overall healthcare quality
The above presented suggestions highlighted data quality, ethical use, and training, the strategies aim to enhance the management and utilization of health big data. These measures collectively strive for accurate, secure, and responsible handling of health information, promoting better patient outcomes and overall healthcare quality.