Wannisa Wongkamchan

Yes, the COVID-19 pandemic has accelerated the adoption of machine learning in epidemic surveillance. The rapid spread of the virus and the need for real-time information highlighted the limitations of traditional surveillance methods.

Using machine learning for disease surveillance can be expensive, so it’s important to carefully consider the costs and benefits before implementing it. Regarding the acceptance of reports from online sources, health authorities need to have a process in place to evaluate the credibility of the information. This may involve verifying the source of…[Read more]

Data dashboards are a good tool for understanding the spread of COVID-19. They can help us visualize trends, identify hotspots, and track the effectiveness of different interventions. By making complex data more accessible.

Telemedicine can be helpful for managing mild COVID-19 symptoms, can help reduce the burden on healthcare systems and prevent the spread of the virus. However, telemedicine may not be suitable for all cases. Additionally, delays in medication delivery can be a challenge, especially in remote areas or during times of high demand.

The use low-power Bluetooth technology for contact tracing during the COVID-19 pandemic was a good tool. The low adoption rate of contact tracing apps is a significant challenge.

laboratory-confirmed surveillance is the gold standard for confirming monkeypox cases, but all surveillance not end up at laboratory-confirmed surveillance, especially in areas with limited laboratory resources. In some cases, clinical features and epidemiological evidence may be sufficient to suspect a case of monkeypox.

Population-based surveillance would be preferable for identifying all monkeypox cases. It covers a whole area and can show us the big picture of how the disease is spreading. However, it might be harder to do everywhere because it needs a lot of resources.

Yes, I agree that case-based surveillance is indeed effective for monkeypox, providing quick, detailed information for health officials. However, it’s best for severe or symptomatic cases and may overlook mild or atypical ones. Therefore, combining multiple surveillance methods becomes crucial when cases surge, ensuring a more comprehensive…[Read more]

Thanks for sharing these thoughts on monkeypox surveillance. I agree that a mix of active and passive methods is a good idea. Checking borders closely can catch cases fast, while reports from doctors and labs help watch the whole country.

The digital technology or tool that I like most is machine learning in digital epidemic surveillance, the examples of its use in web-based epidemic intelligence tools.

How it works: Tools like ProMED-mail, GPHIN, HealthMap, and EIOS gather and analyze data from online sources such as news websites, social media, and public reports. They use…[Read more]

1. How can surveillance help to detect and control monkeypox?
Surveillance is crucial for identifying cases of monkeypox early and controlling its spread. It helps monitor the disease by collecting data on new infections, understanding its distribution, and detecting outbreaks quickly. By tracking trends in monkeypox cases, health authorities can…[Read more]

Yes, if data is shared, it should be anonymized, with strict data-sharing agreements to prevent misuse. I believe a agreements ensure clear terms, restrictions, and data protection. While, regular monitoring and evaluation are essential to ensure ethical compliance and protect affected populations.

I agree with the stance that sharing individual-level data, especially information like geolocation and contact details, risks to patient privacy, particularly for vulnerable groups like migrant patients. While research can be valuable, protecting patient confidentiality should remain a top priority. Data sharing should only occur after removing…[Read more]

1. Should you give the data out?
No, should not give out the detailed individual-level data as requested without taking significant precautions and following proper protocols. Sharing this information without explicit consent from the individuals involved would violate ethical principles related to data privacy and security, as outlined by the…[Read more]

You bring up an important point in your discussion, it is important to respect the husband’s choice about sharing his health information. Encouraging him to talk to his wife, if he feels ready, can be helpful. This way, we are supporting both his rights and his relationship while ensuring that we do not harm anyone by sharing private details…[Read more]

I agree that disclosing sensitive health information can cause serious problems. If your friend learns about her partner’s illness from you, it could hurt their trust and damage their relationship. Plus, if others find out, it might lead to shame and stigma for both of them. It’s important to let the patient decide when and how to share this information.

This situation raises several ethical dilemmas. As a health information professional, I must according to professional codes of ethics.

1. What should you do?
As a health information professional, I should not take any action beyond my official duties. The patient’s medical information is confidential and protected. I must maintain…[Read more]

Thanks for sharing how the ADKAR model was used in implementing SAP Business One. I think the most important parts were making sure everyone knew why the change was needed and giving them good training. It’s great to see how a well-planned change can help a company improve its work.

Your organization did a great job implementing the finance application by following the ADKAR model. Clear communication, staff motivation, and hands-on training helped make the change smoother. The additional support during the process and positive recognition also encouraged the team to use the system effectively.

Based on the use of a computerized physician order entry (CPOE) system within the electronic medical record (EMR) for inpatients (IPD) from Topic Discussion 1, I think the transformation process was handled well, but there are some areas that could be improved. Here’s how the ADKAR model applies to the situation.

Awareness: For the change to be…[Read more]