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Healthcare panel · Asia-Pacific

Healthcare professionals, caregivers & patients of Singapore, profiled by Frequent Research.

Know them as healthcare professionals.

  • CapitalSingapore (city-state)
  • CurrencySingapore dollar (SGD)
  • LanguagesEnglish, Malay, Mandarin, Tamil
Explore the panel Get the panel book 26,098healthcare members3healthcare panelsS$Singapore dollar
  • GenderFemales55.3% · 1,487
  • Age30-4958.3% · 1,568
  • Ethnicity / Population BackgroundChinese70% · 1,882
  • Region DistributionCentral Region26.9% · 723
  • Annual Personal Income (gross, SGD)Middle Income · S$70,000 – S$89,99916.1% · 433
  • Annual Household Income (gross, SGD)Upper-Middle Household Income · S$150,000 – S$199,99917.7% · 476
  • Occupation ProfileFull-Time Healthcare Professional / Employee30.6% · 823
  • Hospital / Healthcare Facility TypePublic Hospital (SingHealth / NHG / NUHS)22% · 592
  • Education / Professional QualificationNursing / Midwifery Qualification (Registered Nurse (Diploma / BSc))30.9% · 831
  • Primary Role of ExpertiseNursing & Midwifery25.2% · 678
  • Healthcare managementDepartment Manager (Radiology, Pathology, etc.)8% · 215
  • Medical doctors & physiciansFamily Physician / General Practitioner17.4% · 468
  • SurgeonsGeneral Surgeon12.7% · 342
  • Dental professionalsGeneral Dentist45.9% · 1,234
Three panels · one country

Choose a healthcare panel in Singapore

Each segment has its own profile, chapter by chapter, and its own panel book to download at the bottom of the page.

Healthcare professionalsDoctors, surgeons, nurses, pharmacists, allied, admin, health IT and AI professionals.2,689profiled professionals · 62 tablesOpen CaregiversFamily, home and professional caregivers sharing the day-to-day reality of care.9,847profiled caregivers · 37 tablesOpen PatientsPeople living with health conditions, profiled with consent.13,562profiled patients · 54 tablesOpen
  • 2,689profiled professionals
  • 62profile tables
  • 5chapters
  • 26.9%in Central Region

Panel demographics

4 tables: Gender, Age, Ethnicity / Population Background and more.

Gender

2 groups
  • 44.7%1,202 Males
  • 55.3%1,487 Females

Largest group: Females at 55.3%

Age

4 groups
16.8%45218-29 58.3%1,56830-49 21.5%57850-64 3.4%9165+

Largest group: 30-49 at 58.3%

Ethnicity / Population Background

4 groups
  • Chinese70%1,882
  • Indian12%323
  • Malay10%269
  • Others (Filipino, Eurasian, etc.)8%215

Largest group: Chinese at 70%

Region Distribution

5 groups
  • Central Region26.9%723
  • North-East Region21.9%589
  • West Region21.1%567
  • East Region16.3%438
  • North Region13.8%371

Largest group: Central Region at 26.9%

Income distribution

2 tables: Annual Personal Income (gross, SGD), Annual Household Income (gross, SGD).

Annual Personal Income (gross, SGD)

16 groups
7.4%199Very Low Income · Below S$36,000 15%403Lower Income · S$36,000 – S$54,999 13.4%360Lower-Middle Income · S$55,000 – S$69,999 16.1%433Middle Income · S$70,000 – S$89,999 11.8%317Upper-Middle Income · S$90,000 – S$109,999 12.4%333Middle Affluent Income · S$110,000 – S$139,999 11.4%307Mass Affluent Income · S$140,000 – S$189,999 5.8%156Affluent Income · S$190,000 – S$259,999 2.3%62High Affluent Income · S$260,000 – S$359,999 1.3%35Lower High-Income · S$360,000 – S$499,999 0.9%24Mid High-Income · S$500,000 – S$699,999 0.7%19Upper High-Income · S$700,000 – S$999,999 0.5%13Ultra High-Income · S$1,000,000 – S$1,399,999 0.4%11Elite / Exceptional High-Income · S$1,400,000 – S$1,999,999 0.3%8Exceptional Upper-Tail Income · S$2,000,000 – S$2,699,999 0.3%8Top Income Tier · S$2,700,000 and above

Largest group: Middle Income · S$70,000 – S$89,999 at 16.1%

Annual Household Income (gross, SGD)

15 groups
9.1%245Very Low Household Income · Below S$65,000 12%323Lower Household Income · S$65,000 – S$89,999 16.1%433Lower-Middle Household Income · S$90,000 – S$119,999 14.9%401Middle Household Income · S$120,000 – S$149,999 17.7%476Upper-Middle Household Income · S$150,000 – S$199,999 10.7%288Middle Affluent Household Income · S$200,000 – S$249,999 9.5%255Mass Affluent Household Income · S$250,000 – S$339,999 4.1%110Affluent Household Income · S$340,000 – S$479,999 2%54High Affluent Household Income · S$480,000 – S$649,999 1.4%38Lower High-Income Household · S$650,000 – S$949,999 0.8%22Mid High-Income Household · S$950,000 – S$1,299,999 0.6%16Upper High-Income Household · S$1,300,000 – S$1,899,999 0.4%11Ultra High-Income Household · S$1,900,000 – S$2,699,999 0.4%11Very High-Income Household · S$2,700,000 – S$4,199,999 0.3%8Elite Household Income · S$4,200,000 and above

Largest group: Upper-Middle Household Income · S$150,000 – S$199,999 at 17.7%

Professional profile

4 tables: Occupation Profile, Hospital / Healthcare Facility Type, Education / Professional Qualification and more.

Occupation Profile

11 groups
  • Full-Time Healthcare Professional / Employee30.6%823
  • Government / Public-Sector Healthcare Professional23.2%624
  • Private Practice / Self-Employed Healthcare Professional11.2%301
  • Healthcare Professional in Pharma / MedTech / HealthTech7.9%212
  • Healthcare Administrator / Management Professional5.4%145
  • Healthcare Professional in Training / Residency / Internship5.1%137
  • Healthcare Academic / Teaching Professional4.2%113
  • Contract / Temporary Healthcare Professional (incl. Locum / Agency)4.1%110
Show all 11

Largest group: Full-Time Healthcare Professional / Employee at 30.6%

Hospital / Healthcare Facility Type

10 groups
  • Public Hospital (SingHealth / NHG / NUHS)22%592
  • General / Multispecialty Hospital17.6%473
  • Private Clinic / Physician Practice10.8%290
  • Teaching / Academic / University Hospital9.8%264
  • Community / District / Regional Hospital8.6%231
  • Polyclinic / GP Clinic8.2%220
  • Private / Corporate Hospital6.8%183
  • Specialty Hospital5.6%151
Show all 10

Largest group: Public Hospital (SingHealth / NHG / NUHS) at 22%

Education / Professional Qualification

10 groups
  • Medical Degree — General Medicine (MBBS)12.2%328
  • Medical Postgraduate / Specialist Qualification (Specialist Accreditation (SAB) / MMed)15.3%411
  • Nursing / Midwifery Qualification (Registered Nurse (Diploma / BSc))30.9%831
  • Pharmacy Qualification (BSc Pharmacy)6.1%164
  • Dental Qualification (BDS)4.3%116
  • Allied Health / Healthcare Sciences (physiotherapy, radiography, biomedical laboratory science, OT, etc.)14.3%385
  • Traditional / Complementary / Alternative Medicine (where recognised)2.6%70
  • Public Health / Healthcare Management / Health Sciences (MPH, MHA, MSc)6.9%186
  • Veterinary Medicine (DVM or equivalent)0.9%24
  • Other Recognised Healthcare Qualification (midwifery, paramedic, care assistance, etc.)6.5%175

Largest group: Nursing / Midwifery Qualification (Registered Nurse (Diploma / BSc)) at 30.9%

Primary Role of Expertise

11 groups
  • Nursing & Midwifery25.2%678
  • Medical Doctors & Physicians15.4%414
  • Allied Health Professionals13.3%358
  • Health IT7.4%199
  • Laboratory & Diagnostic Professionals7.1%191
  • Surgeons6.3%169
  • Healthcare Management5.9%159
  • Admin Professionals5.9%159
Show all 11

Largest group: Nursing & Midwifery at 25.2%

Role-wise job title / specialisation distribution

11 tables: Healthcare management, Medical doctors & physicians, Surgeons and more.

Healthcare management

  • Department Manager (Radiology, Pathology, etc.)8%215
  • Director of Clinical Operations6%161
  • Director of Hospital Administration5.5%148
  • Chief Medical Officer (CMO) / Medical Director5%134
All 31 titles

Medical doctors & physicians

  • Family Physician / General Practitioner17.4%468
  • Anaesthesiologist6.6%177
  • Radiologist6.1%164
  • Psychiatrist / Psychology & Mental Health Specialist5.6%151
All 29 titles

Surgeons

  • General Surgeon12.7%342
  • Orthopaedic & Trauma Surgeon8.6%231
  • Surgical Resident / Trainee6.9%186
  • Urologic Surgeon5.7%153
All 33 titles

Dental professionals

  • General Dentist45.9%1,234
  • Orthodontist9.5%255
  • Implantologist6.1%164
  • Endodontist5.7%153
All 12 titles

Nursing & midwifery

  • Geriatric / Elderly Care Nurse6.6%177
  • Primary Care / Family & Community Nurse6.5%175
  • Mental Health / Psychiatric Nurse6.5%175
  • Emergency / Critical Care Nurse6.5%175
All 36 titles

Pharmacy professionals

  • Clinical Pharmacist15%403
  • Clinical Staff / Hospital Pharmacist11.1%298
  • Senior Clinical Pharmacist6.4%172
  • Infectious Disease / Antimicrobial Stewardship Pharmacist5.2%140
All 24 titles

Laboratory & diagnostic professionals

  • Medical / Biomedical Laboratory Scientist10.9%293
  • Laboratory Technician10.5%282
  • Medical Laboratory Technologist6.9%186
  • Phlebotomist5.1%137
All 38 titles

Allied health professionals

  • Physiotherapist / Physical Therapist11%296
  • Radiographer (Diagnostic & Therapeutic)6.2%167
  • Occupational Therapist5.3%143
  • Healthcare Assistant / Nursing Assistant4.8%129
All 46 titles

Health IT

  • Health Data Analyst8.9%239
  • IT Support Technician (Health IT)8.3%223
  • EHR / EMR Specialist / Manager7.1%191
  • Health Information Technician6.4%172
All 27 titles

Admin professionals

  • Administrative Assistant – Healthcare6.6%177
  • Hospital Administrator5%134
  • Front Office Executive – Hospital / Clinic4.8%129
  • Healthcare Operations Manager3.6%97
All 42 titles

Support staff (ancillary)

  • Receptionist – Hospital / Clinic6.4%172
  • Administrative Clerk4.2%113
  • Ambulance Driver4.2%113
  • Medical Secretary4%108
All 60 titles

AI department & job title profile

41 tables: AI Department Distribution (share of AI-engaged healthcare panel), Clinical AI, Medical Imaging AI and more.

AI Department Distribution (share of AI-engaged healthcare panel)

40 groups
  • Medical Imaging AI4.7%126
  • Healthcare Data Science4.2%113
  • Machine Learning3.9%105
  • Digital Health AI3.9%105
  • Generative AI3.7%99
  • Clinical AI3.6%97
  • Large Language Models (LLMs)3.6%97
  • Natural Language Processing (NLP)3.4%91
Show all 40

Largest group: Medical Imaging AI at 4.7%

40 detailed tables

Clinical AI

  • Clinical AI Specialist21.7%584
  • Clinical AI Engineer19.1%514
  • Healthcare AI Specialist16.5%444
  • Clinical AI Scientist13.7%368
All 7 titles

Medical Imaging AI

  • Medical Imaging AI Engineer17.7%476
  • Medical Image Processing Engineer15.5%417
  • Computer Vision Engineer14.4%387
  • Medical Imaging AI Specialist13.8%371
All 7 titles

Clinical Decision Support AI

  • Clinical AI Engineer25.8%694
  • Clinical Informatics Specialist18.8%506
  • Clinical AI Specialist16.7%449
  • Clinical Decision Support Specialist16.3%438
All 7 titles

Predictive Analytics

  • Predictive Analytics Specialist20.1%540
  • Predictive Modeling Specialist19.2%516
  • Clinical Data Scientist16.9%454
  • Healthcare Data Analyst15.4%414
All 7 titles

Machine Learning

  • AI Engineer19.2%516
  • MLOps Engineer17.7%476
  • Machine Learning Engineer16.8%452
  • Applied Machine Learning Engineer16%430
All 7 titles

Deep Learning

  • Neural Network Engineer17.3%465
  • AI Engineer17.3%465
  • Deep Learning Engineer16%430
  • Machine Learning Scientist16%430
All 7 titles

Natural Language Processing (NLP)

  • Healthcare NLP Engineer18.9%508
  • NLP Engineer18%484
  • Clinical NLP Specialist15.4%414
  • NLP Developer14.5%390
All 7 titles

Generative AI

  • Generative AI Engineer26.1%702
  • Generative AI Specialist19%511
  • Generative AI Scientist16.3%438
  • AI Researcher13%350
All 7 titles

Large Language Models (LLMs)

  • Prompt Engineer20.6%554
  • LLM Engineer18.2%489
  • Healthcare LLM Engineer17%457
  • LLM Developer16.4%441
All 7 titles

Computer Vision

  • Computer Vision Engineer18.6%500
  • Image Processing Engineer16.7%449
  • Medical Vision AI Engineer14.6%393
  • Computer Vision Developer14.2%382
All 7 titles

AI Diagnostics

  • Healthcare AI Specialist18.5%497
  • AI Diagnostics Specialist16.9%454
  • Diagnostic AI Engineer16.6%446
  • Clinical Data Scientist15.1%406
All 7 titles

AI-Assisted Surgery

  • Surgical AI Engineer16.5%444
  • Surgical Robotics Engineer16.5%444
  • Medical Robotics Engineer16.5%444
  • Digital Surgery Specialist14.8%398
All 7 titles
Show all 40 tables

Profile distributions are modelled estimates for planning and feasibility, built from public demographic and market patterns. They are not a count of individual panel members; feasibility for your exact audience is confirmed for each project.

Panel book PDF

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