Noi Yar

Whether or not to give the data out depends on the following factors:

* Ethical review committee approval: The research team must have approval from an ethical review committee to conduct the study.
* Data sharing agreement: There must be a data sharing agreement between the research group and your organization. This agreement should outline the…[Read more]

As a public health information professional, I definitely can’t disclose my friend’s husband HIV status to my friend without his consent. The husband has the right to maintain confidentiality of his health status. On my friend side, whether she should know her husband HIV status depends on moral and legal obligations. As her husband legal sexual…[Read more]

Based on ADKAR model, I honestly think my previously organization did well in all the aspects particularly in the knowledge, ability and reinforcement aspects.
Awareness: The organization created awareness of the need for the app by conducting meetings with volunteers and health centers to explain the benefits of the app.
Desire: The organization…[Read more]

My previous example of mobile app for MDR-TB contact screening and tracking is a good example of a successful system. The app has the potential to significantly improve MDR-TB contact screening and tracking in resource-limited settings. The program found significant improvement in contact trancing activity completion rates and referral rates, and…[Read more]

I don’t have a chance of experiencing anyDecision support systems DSS in my previous works. So, I would like to share about a DSS using at one of the medical centers in Taiwan when I was on hospital tour as industrial experience during my graduate study. DSS was used in the hospital to implement clinical pathways for specific diseases, such as…[Read more]

I believe using ICD-10 is for standardization, having a common language/classification system to communicate between different healhcare organizations. It could be ICD-10 or other standard medical classification system. By not using ICD-10 by all hospitals in a country, there will be difficulties in communicating and sharing data among them since…[Read more]

I agree with the finding that EMRs are one of the top leading causes of physician burnout. I have heard many complaints from health officers about using EMRs, including:

EMRs are time-consuming and cumbersome. Physicians often have to spend hours each day documenting patient information and completing administrative tasks in the EMR, which takes…[Read more]

Thank you for sharing! I am very impressed with the various custom data visualization reports generated by the HIS system and how the hospital is making use of data to respond timely for disease outbreak.

Thanks for sharing! I have been using Google fit for a while now. I found it much easier to track my lifestyle habits. With the combination of smart watch, it’s very helpful to also monitor activities and some vital signs (heart rate, rhythm, etc.), and sending reminders when there is abnormal findings (although not very accurate). I believe with…[Read more]

Thanks Panyada!

Thank you very much ajarn!

The INGO I previously worked for developed a mobile app for multi-drug resistant tuberculosis (MDR-TB) contact screening and tracking to accelerate referral and project reporting for an MDR-TB patient care program. This MDRTB care program trains volunteers to provide DOT to new MDR-TB patients and other activities such as contact tracing,…[Read more]

Genomic data from scientific experiments by pharmaceutical companies is a type of Big Data that fits into the 7Vs of Big Data characteristics in the following ways:

Volume: Pharmaceutical companies generate a massive amount of genomic data from their scientific experiments. This is because they need to sequence the DNA of millions of patients and…[Read more]

According to Shaw T, et al., eHealth encompass three main domains: 1) health in hand; referring to being able to access to health information as and when needed, 2) interacting for health; providing multiple ways of communication among providers and consumers, and 3) data enabling health; which covers design and implementation of technologies and…[Read more]

I have learnt a lot from the video and also from you all. As non-IT person, I have only experienced phishing attacks in the form of emails. But in the past 1 or 2 years in Myanmar, I have found a lot of victims of phishing attack with elements of social engineering and potentially mobile malware. The attackers used deception to trick users into…[Read more]

In this case scenario, choosing a cloud server for the patient appointment application is a cost-effective and scalable solution adding minimal workload to IT officer. Cloud servers are typically more cost-effective than purchasing and maintaining physical hardware. As hospital application grows and more patients start using it, cloud server can…[Read more]

Thank you for sharing. These are some additional preventive measures I think that can be considered to address the challenges of using AI chatbots.

> We can make sure that third-party vendors, including chatbot providers like OpenAI, sign business associate agreements (BAAs) that clearly state their responsibilities for safeguarding patient data…[Read more]

Thank you for sharing the case study. In addition to what you’ve discussed, I’d like to provide some additional measures for prevention:

> Incident Response Plan: Develop and regularly update an incident response plan that outlines the steps to be taken in case of a data breach. Ensure that the plan includes clear communication strategies,…[Read more]

The preventive measures discussed in response to the data breach at Yakima Valley Memorial Hospital are comprehensive and aligned with best practices in healthcare data security. However, I’d like to provide some additional insights and suggestions:

> Real-Time Monitoring and Alerts: Consider implementing real-time monitoring solutions that not…[Read more]