Module 10 Topic discussion

[Saranath]

Data such as name, date of birth, citizenID, Hospital ID, phone number are considered as identifiable data. However, sometimes even there is no identifiable data provided. With a combination of non-identifiable data such as age, sex, occupation…., people can probably identify you.
Let’s try thinking about the combination of non-identifiable data that actually makes people know that this would be you.

Example: for myself, only the combination of these information would be able to identify me.

Sex: female
Education: MD, PhD.
Occupation: Associated Professor
Workplace: Department of Tropical Hygiene, Faculty of Tropical Medicine

[Kridsada Sirichaisit]

Sex: male
Education: MD, Internal Medicine
Occupation: Deputy Director
Workplace: Bueng Kan Hospital

[Wachirawit Supasa]

Sex: Male
Education: Bachelor of Sciences in Medical Technology
Graduation year: 2019
Occupation: Medical Technician
Workplace: Siloam Community Clinic

[Naphat]

Sex: male
Place of birth: Bkk
Education: ฺB.Sc Microbiology
Occupation: Lab Tech.
Workplace: AFRIMS
Working experiences: 7 Years

[Pongsakorn Sadakorn]

Sex: Male
Education: B.s.Entomology
Workplace: Division of Vector Borne Disease

[Rapeepat Jitmal]

Sex: Male
Education: Bachelor of Sciences(Physical therapy)
Occupation: Physiotherapist
Workplace: Kanok Physio Rehab Clinic

[Karina Dian Lestari]

Combination of information that could identify me is:
Sex, age, nationality, address, workplace.

[Arwin Jerome Manalo Onda]

If my classmates are gathered in a same room, I can be identified through these non-PII:

Sex: Male
Nationality: Foreigner (not explicitly saying I’m a Filipino)
Other information:
> Wears glasses
> Black short hair

[Auswin Rojanasumapong]

Combination of information that can identify me.
Gender: Male
Workplace: Lampang hospital
Specialty: Family Medicine
Hometown: Nakhon Sawan

[Napisa Freya Sawamiphak]

Combination of information that can identify me;
Gender: Female
Workplace: Janssen, Bangkok
Job position: Medical Science Liaison – Neuroscience

(I am the only MSL in neuroscience who based in Thailand)

[Sri Budi Fajariyan]

a combination of data that can identify me: age, gender, place of work, and education

[TARO KITA]

My position title, the name of the project that I am working on and its funding source would easily identify me.

[Ashaya.i]

Combination of non-identifiable data that would be able to identify me;
Age, Sex, Workplace, and Job position

[Saravalee Suphakarn]

The combination of these information would be able to identify me.

Sex: female
Age: 27 years old
Job position: Veterinarian Practitioner
Workplace: Veterinary Research and Development Center, Eastern Region

[Navin Prasai]

The combination of non-identifiable data that makes people know are occupation, Title, Gender, workplace.

[Kaung Khant Tin]

With the combination of the following non-identifiable data, people would identify me.

Sex- Male
Age- 27
Address – Mandalay
Ph number – +959961988577
Height – 5ft 11 inches
Education – M.B.,B.S.

[Khaing Zin Zin Htwe]

Provided that these information about me were revealed, I would easily be identified:
bachelor degree graduated year, my designation and name of the organization I am working at because I’m the only one from my graduation batch who is working in the M&E department of my current organization.

[Rawinan Soma]

Sex: Male
Job title: Doctor
Status: Married
Workplace: Division of International Disease Control Port and Quarantine

There are 2 male doctors in department one is director, he is single.

[Sittidech Surasri]

For myself, only the combination of these information would be able to identify me.

Sex: Male
Job title: Laboratory Specialist
Birth place: Buriram
Education: Medical technology
Work place: FHI 360

[Navinee Kruahong]

Sex: female
Education: MSc in Global Mental Health (just one and only in my department hehe)
Occupation: Public Health Officer
Workplace: Department of Mental Health

[Tossapol Prapassaro]

All of these unidentifiable data combination would be able to identified me.
Including
Sex: Male
Age: 36
workplace: Siriraj Hospital
occupation: Doctor
Specialty: Vascular surgeon

[Penpitcha Thawong]

Sex: female
age: 29
Occupation: Medical technologist (Practitioner level)
Workplace: Genomic Medicine Centre, Division of Genome Medicine and Innovation Support Department of Medical Science, Ministry of Public Health
Education: MSc in Bioinformatics

[Author]

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