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2024-09-11 at 3:10 pm #45454Siriluk DungdawaduengParticipant
An example of an existing Health IT project is COVID-19 Contact Tracing Apps.
COVID Alert (Canada): An app developed to notify users if they have been in close contact with someone who has tested positive for COVID-19. (Reference: COVID Alert: Canada’s exposure notification app – Canada.ca)
Problems or Limitations of the Project:
1) Privacy Concerns: Many users hesitate to use contact tracing apps due to concerns about data collection, usage, and sharing. There are fears about surveillance and misuse of personal information.
2) Data Integration: Integrating data from various sources, such as public health records and test results, can be challenging. This may result in gaps in data and inefficiencies in tracing and notification processes.
3) User Adoption and Engagement: The effectiveness of these apps relies heavily on high user adoption rates. Low download or inconsistent use can diminish the app’s effectiveness in contact tracing.
4) Technical Limitations: Issues such as false positives or negatives and inaccuracies in Bluetooth-based proximity measurements can affect the app’s ability to detect potential exposures accurately.Health Informatics Knowledge and Skills to Improve the Project:
1) Data Privacy and Security: Expertise in health informatics can enhance the design and implementation of robust privacy safeguards and encryption methods to protect user data. This includes developing clear privacy policies and ensuring transparency about data usage.
2) Data Integration and Interoperability: Knowledge of health information systems and standards (e.g., HL7, FHIR) can improve the integration of data from various sources, allowing the app to effectively combine information from different health records and testing sites.
3) User Engagement Strategies: Skills in health communication and behavioral science can help design user-friendly interfaces and engagement strategies that promote higher adoption and consistent use of the app. This includes understanding barriers to adoption and addressing them through targeted communication and incentives.
4) Evaluation and Optimization: Applying skills in data analysis and epidemiology can aid in evaluating the app’s effectiveness and identifying areas for improvement. This involves analyzing data to understand patterns and effectiveness and optimizing algorithms for more accurate contact tracing.
5) Public Health Expertise: Incorporating knowledge of public health principles and outbreak management can enhance the app’s functionalities to better support public health responses. This includes understanding the epidemiological aspects of contact tracing and integrating the app’s data with broader public health strategies. -
2024-09-11 at 12:07 pm #45452Siriluk DungdawaduengParticipant
Based on my background as a data manager (DM) and Clinical Research Associate (CRA) in the clinical research field, I would need to gain the following knowledge and skills to further improve my profession in public health or health informatics:
1) Health Data Standards and Interoperability:
Knowledge: Learn about health data standards which are essential for sharing and integrating health data across systems.
Skills: Gain the ability to ensure data integrity, quality, and seamless interoperability between various health informatics systems.
2) Epidemiology and Biostatistics:
Knowledge: Understanding core public health concepts such as epidemiological research methods, biostatistics, and health outcomes assessment will enhance my ability to design, analyze, and interpret health data.
Skills: Develop expertise in performing statistical analyses using tools like SAS, STATA, or R to assess population health trends and the impact of interventions.
3) Data Analytics and Machine Learning:
Knowledge: Learn advanced data analytics methods, including machine learning, artificial intelligence, and big data analytics, which are increasingly used in public health for predictive modeling and decision-making.
Skills: Familiarize myself with tools like Python or R for implementing machine learning models and applying them to clinical research and public health data.
4) Data Privacy and Ethics:
Legal Frameworks: Strengthening knowledge of data privacy regulations and ethical principles in health data management to ensure compliance and protect patient confidentiality.
5) Data Visualization and Communication:
Knowledge: Enhance my skills in translating complex data into actionable insights for stakeholders.
Skills: Master tools such as Looker Studio, Tableau, or Power BI to create intuitive visualizations and reports for clinical, public health, and policy decision-making.
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2024-07-04 at 10:52 pm #44677Siriluk DungdawaduengParticipant
Hi, everyone.
Your dashboard looks great! Thank you for sharing 😊Here is the link to my dashboard for the final project assignment: https://lookerstudio.google.com/s/ryRhrqBRS9E
This COVID-19 surveillance dashboard offers detailed insights into the state of the pandemic during 2020-2022. I’ll examine key metrics such as confirmed, recovered, and death cases. The data can be sorted by continent, country, or specific periods using the dropdown buttons. Furthermore, you can get the report by selecting the ‘Download Report’ button.
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2024-06-27 at 12:24 am #44434Siriluk DungdawaduengParticipant
Hi everyone, this is my screenshot of the report from Looker Studio for this week’s project.
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2024-06-15 at 1:38 am #44314Siriluk DungdawaduengParticipant
Thank you for sharing the data visualization dashboard for COVID-19 disease. I would like to share my selected COVID-19 dashboard from the Ministry of Health Malaysia COVID-19 · https://data.moh.gov.my/dashboard/covid-19/jhr. (The last update data as of 01 Jun 2024, 23:59). I would like to describe what I like and dislike about this dashboard.
What I like:
• The dashboard layout is clean.
• Design the dashboard with the end user in mind, Make it easy for users to navigate and interact with the dashboard by providing intuitive controls and clear instructions.
• Maintain consistency in visual elements such as colors, fonts, and iconography throughout the dashboard to create a cohesive. Consistency helps users quickly understand the dashboard’s structure and meaning.
• Interactive Features: Incorporate interactive elements such as filters, dropdown menus, and drill-down capabilities to enable users to explore the data and customize their views. Interactivity enhances user engagement and empowers users to derive deeper insights from the data
• Appropriate chart types, labeling axes clearlyWhat I dislike
• To focus on presenting the most important information prominently and avoid unnecessary visual elements that may distract from the key insights.
• The dashboard is not responsive and adaptable to different screen sizes and devices (i.e. tablets and smartphones) -
2024-05-13 at 12:21 pm #44098Siriluk DungdawaduengParticipant
Hello, Teerawat. I appreciate that I have been assigned to review your CRF. Your CRF appears to be very impressive. 😊 Please find my following comments:
– I would suggest relocating the ‘Informed consent process’ to the first section of the CRF, preceding the ‘Demographics’ section. This is because the ICF process should be carried out as the initial step in every procedure.
– Regarding the eligibility criteria section on Page 3, I recommend either removing the “N/A” (Not applicable) option for Inclusion criteria No. 1-3, or replacing it with “Not done.” The “N/A” option should only be kept for Inclusion No. 4, in the case of male participants. To implement exclusion no. 2, kindly include a ‘N/A’ option for male participants.
– In the Laboratory Test (Female Only) section, I suggested replacing the ‘Serum pregnancy test’ with the ‘urine pregnancy test’ based on the study synopsis.
– The CRF page for ‘subject disposition visit’ is not available. If the subject is not eligible for the study, I would suggest including a specific box for the reason for ineligibility can be entered, such as full enrollment or meeting exclusion criteria.
– In regards to the Informed Consent Process (Page 4): Kindly include a box in which the time of the Informed Consent Form (ICF) is provided.
– Vital signs section (Page 5): The study description does not include precise information about the route of temperature measurement for the ‘Temperature’ variable. I recommend changing ‘Oral Temperature’ to ‘Body temperature’ and including the subsection ‘Route of temperature measurement’ below ‘Body temperature’. The options for selecting should be ‘Oral’, ‘Forehead’, ‘Axillary’, or ‘Other’ with the box to specify. Next, the ‘Not done’ checkbox should be added for each Vital Sign.
– PE (Page 6): I recommend including the ‘Time of assessment for PE’. The Vital signs and Physical Examination (PE) are recorded on a separate Case Report Form (CRF) page. Therefore, it may be ensured that the physical education (PE) time is conducted after the ICF is signed. I would like to include an additional category called ‘Other categories’ below the ‘Metabolic/Endocrine’ row to record additional PE systems.
– I would suggest modifying the section titled ‘Eligibility check’ to ‘Subject history’ or ‘Medical history’ instead.
– Subject Check (Page 7): As per the sentence ‘If this is answered NO, please clarify’ in this section, I suggest adding a specific box for the reason for ineligibility that can be entered.
– Laboratory Test (Page 8): The study synopsis states ‘Immunogenicity will be evaluated using the hemagglutination inhibition (HAI) assay to measure influenza antibody level (reported as HAI titer)’. I would suggest removing the part on ‘Safety Labs – Blood Sample Collection’ from this page.
– Specialty Labs – Blood Sample Collection (Page 7): Please add a text box for entering the ‘HAI titer’ for each category of HAI.
– Randomization Process (Page 9): I greatly appreciate this topic you have created since it is an excellent tool for generating numbers related to the subject. Just to update the “Serum pregnancy test” to the “Urine pregnancy test” following the study synopsis.
That’s great!
Siriluk -
2024-05-09 at 10:34 am #44058Siriluk DungdawaduengParticipant
I would like to improve the ‘Physical examination’ section in the following:
Specify the unit ‘kg’ for weight, ‘cm’ for height, as well as the unit ‘mmHg’ for blood pressure, with separate values for ‘Systolic’ and ‘Diastolic’. In addition, provides a ‘Body system’ such as HEENT, Cardiovascular, Chest, Abdomen, Musculoskeletal, and Neurological. Furthermore, it would be advantageous to add the box to select an ‘Other system’ if required. The Physical Examination (PE) part can design the template as a table with checkboxes for each PE system, indicating as normal, abnormal, or not done.
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2024-05-09 at 10:03 am #44057Siriluk DungdawaduengParticipant
Data standards for clinical research have several advantages, such as making it easier to combine data from various, disparate sources for analyses to plan new studies and improve medical and scientific insights and knowledge, which improves disease management.
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2024-05-09 at 9:26 am #44056Siriluk DungdawaduengParticipant
Yes, I have experience managing data in a software program called DFexplore. The data will be stored and managed in the clinical data management system. DFexplore is a standalone application. It does not need to run on any specific web browser. Since my company provides data management services, we must complete all these steps before providing it to our clients. So, we implemented several data management processes within DFexplore to ensure data quality and integrity:
Audit trail/Time stamp: All collected data and actions (data entry, modification, and deletion) in the system can be tracked using an audit trail that includes date, time, and username will be shown in the audit trail report.
User authentication and access control level: Access is only granted to qualified personnel as requested by the sponsor and/or investigator of the study. The user will have access to only study and application features that the study administrators have granted permission to use. The level of access control will be defined per each user’s roles and responsibilities (e.g., data entry, study coordinator, principal investigator, or monitor). Each person responsible for entering or reviewing the study data in the eCRF will receive a unique username and a temporary password from study administrators (DM team).
Edit check and logical check: The DM team will implement the edit check (EC) program into the study database to check missing data/consistency of the database during/after data entry based on “Edit Check Specifications (ECS)”, while the user is entering the study data into the eCRF on the server, the edit check program will make certain checks and may flag that the data needs to be reviewed, confirmed, or revised. This process of automated edit checks will be implemented to reduce errors in the data entry process.
Data backup and recovery plan: We will maintain the database by allocating sufficient system storage for the study database and upgrading database software and associated applications, if necessary. Providing routine backup of the database storage and performing routine virus checks on incoming and outgoing data. The backups will be performed on a daily basis for their ability to adequately restore the backed-up data on the backup server.
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2024-05-02 at 9:10 pm #44012Siriluk DungdawaduengParticipant
Based on my experiences, I have worked as a Clinical Research Associate (CRA) in the clinical vaccine trial field for a pharmaceutical company. I have participated in steps of the workflow in Protocol Discussion and Data Design (Variables and Data Work Flow). The pharmaceutical company I work for serves as the “sponsor” for the research. So, I assisted the clinical team in all activities related to clinical trial preparation, including protocol discussion and implementation.
After that, I joined the Data Management Service company, and I work as a Data Manager (DM). The Data Management Service is responsible for all steps in the data management process workflow. In my role, I participated in project initiation and during study conduct as follows:
– Data Collection/Case Report Form (CRF) Development: I created and maintained the Case Report Form (CRF).
– Development of a Data Management Plan (DMP): My task involved providing input and reviewing the data management plan.
– Database Access Control: I am responsible for managing the database’s access control.
– Database Setup and Edit Checks Programming/Data Entry Screen Test: My task involved setting up the database and conducting programming and data entry screen tests. The process also includes performing database testing, specifically data entry screen tests, and preparing an edit check specification for the programmer team to test before the database launches.
– Investigator Meeting/CRF Completion Training: My task involved providing training to the study team and coordinating with the study team or sponsor for overall project management aspects.
– Data Validation/Data Quality Control (QC): Validate study data in the clinical data management system and ensure database accuracy during the course of clinical studies as well as coordinate with the study team and sponsor to address study data-related issues.
– Data entry and processing: Prepared CRF completion guidelines and sent them to the study site.I would like to improve the edit check program so that it can be used in full function to support the process of data validation if the research uses an EDC system. Currently, edit-check programs are a feature that can help with data cleaning, data validation, and QA processes. However, it still takes DM staff a significant amount of time to complete this specific step, which ensures the data is clean and ready for analysis. Therefore, developing an edit-check program for full function or creating another tool could potentially reduce the time staff spends performing these steps, while also ensuring high-quality data for the data analysis process.
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2024-05-02 at 4:09 pm #44011Siriluk DungdawaduengParticipant
This is the summary what I’ve learned for this week.
or https://snipboard.io/n3kNcK.jpg -
2024-04-29 at 6:11 pm #43975Siriluk DungdawaduengParticipant
1. Purpose of data collection: For research, for public health surveillance, or others.
The research project I am involved in is a vaccine trial that will assess the immunogenicity and safety of the Vaccine in healthy adults.
2. Was it primary or secondary data collection?
Both types of data collection were performed.
– Hospital data collection form
– Medical records/ Medical charts
– Laboratory results
– Interviews
– oral histories
– Diary card3. Methods used for data collection
– EDC (Electronic Data Capture) system: Used to collect, store, and manage research data electronically in a secure.
– ePRO (electronic Patient-Reported Outcomes) mobile application: Used to collect patient-reported outcomes (Local and systemic reactogenicity) during the conduct of clinical trials.4. Were there any problems that occurred regarding data collection?
– Data Quality: It can come from a variety of sources, including data entry errors or datasets that may have missing, inconsistent, or invalid values that reduce reliability. This can be due to human error, technological failures, or flaws in collection methods.
– Complicated forms can lead to nonresponse or respondents filling in answers at random simply to complete the survey.
– Literacy comprehension barriers.
– Language comprehension barrier.
– Data Integration: Internal systems, third-party applications, and external data sources.
– Insufficiently trained staff.
– Lack of understanding of context.
– Data inaccuracy – Even complete datasets can contain incorrect values due to human data entry mistakes, respondent misreporting, technology errors, flaws in measurement methods, and more.
– Data collected may have compatibility issues around file formats, metadata standards, and barriers to consolidation. -
2024-04-29 at 10:53 am #43974Siriluk DungdawaduengParticipant
This is what I have learned this week. (WEEK 3: CYBER HEALTH CARE)
or https://snipboard.io/RzhD0M.jpg -
2024-04-03 at 9:06 pm #43845Siriluk DungdawaduengParticipant
Hi everyone, this is my summary infographic for week 2.
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2024-04-03 at 2:45 pm #43843Siriluk DungdawaduengParticipant
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2024-04-03 at 2:22 pm #43842Siriluk DungdawaduengParticipant
Hi everyone, my summary of what I have learned about this topic.
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2024-09-11 at 1:36 pm #45453Siriluk DungdawaduengParticipant
Hello Aung Thura Htoo, thank you for sharing your experience and outlining the areas you aim to improve.
I completely agree that focusing on information technology skills, such as data management, statistics, programming, and cloud computing, is both strategic and practical for handling complex health data effectively.
Moreover, your emphasis on developing interpersonal skills such as teamwork, project management, and effective communication demonstrates a strong commitment to collaborative work and efficient knowledge sharing. These skills are indeed crucial for success in the field of health information technology which heavily relies on interdisciplinary collaboration. 🙂
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2024-07-04 at 11:14 pm #44678Siriluk DungdawaduengParticipant
Hi Phyo, Thanks for sharing your dashboard, I just had a chance to look at your dashboard, and I have to say, I’m really impressed! The layout is clean and intuitive, making it super easy to navigate. I especially like how you’ve used picture icon coding to highlight key metrics. It adds a layer of usability that enhances the overall experience. Great job! I can see this being incredibly useful for anyone who needs to keep track of COVID-19 surveillance. Keep up the fantastic work!
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