Taipei Medical University

Carlos Lam's Lab

Carlos Shu Kei Lam (Shu-Kee Lin)

Research Field



Dr. Carlos Shu Kei Lam (Shu-Kee Lin) holds the position of Professor at the School of Medicine, College of Medicine, Taipei Medical University, Taiwan. He earned his PhD in Public Health in 2020, a Master's Degree in Medical Science in 2002, and a Bachelor of Medicine in 1985. In 2006, he was granted a clinical fellowship at the emergency department of Sir Mortimer B. Davis - Jewish General Hospital, McGill University, Canada.

Dr. Lam attained his specialization in surgery in 1990, followed by specialization in emergency medicine and critical medicine in 1999 and 2010, respectively. Serving as an attending physician at the emergency department of Wan Fang Hospital, Taipei Medical University, since 1998, he assumed the role of director of the department from 2008 to 2014. At present, he is the director for the Resident Training Program.

Dr. Lam's laboratory has recently undertaken significant research initiatives, focusing on:

1. Establishment of Predictive Models for Prognosis among Pneumonia Patients

Addressing a crucial aspect of personalized precision medicine, we predict clinical deterioration post-hospital or emergency department discharge. Amidst post-COVID-19 challenges, ED overcrowding is a concern. Thus, our research involves establishing predictive models for adverse outcomes in patients with lower respiratory tract infections, employing machine learning to forecast 30-day readmission.

2. The Post Traumatic Recovery Cohort-Taiwan (PTRC-Taiwan)

With Taiwan embracing an aging society, we explore the impact of pre-existing conditions on functional outcomes in elderly trauma patients. By conducting a prospective cohort study, we aim to understand the connection between pre-injury health conditions, such as pre-existing diseases and frailty, and subsequent functional decline.

3. GIS Analysis of Environmental Risk Factors on Road Traffic Injuries

Unraveling the complexities of road traffic accidents, we delve into the influence of environmental factors. Beyond road-related aspects, we investigate the interplay of air quality, weather conditions, and injury severity in road traffic injuries (RTIs). Using Geographical Information System (GIS), our research seeks to establish associations between environmental factors and injury outcomes.

Under Dr. Lam's guidance, our mentored medical students have achieved remarkable accomplishments. One student secured a research grant from the National Science and Technology Council and received an honorable mention at the Taipei Medical University Teachers and Students Joint Academic Research Symposium. Collaborating with Dr. Lam, the student co-authored two SCI papers. Moreover, another medical student is exploring the risk of subsequent traumatic intracranial hemorrhage post-new stroke. This research has been accepted for oral presentation at the 18th World Congress of Neurosurgery Symposium and will be submitted for publication soon.

Currently, four medical students are actively engaged in research within Dr. Lam's lab. Among them, three are examining the connections between air pollution and RTIs, while one is investigating the risk factors contributing to functional decline among trauma patients.

Research Topics

My research pursuits encompass a diverse spectrum of critical healthcare domains, including:

  1. Predicting Clinical Deterioration Post-Hospital/ED Discharge in Pneumonia Patients
  2. Unveiling Functional Trajectory Post-Hospitalization for Trauma Patients
  3. Examining the Impact of Air Pollution on Trauma Cases
  4. Spinal Cord Injury Epidemiology
  5. Road Traffic Injury Epidemiology
  6. Motorcycle Injury Epidemiology
  7. Emergency Medicine
  8. Injury Prevention

Through my research, I aim to push the boundaries of medical knowledge, enhance patient care, and contribute to the broader landscape of healthcare improvement.

  • Lam C, Fang YT, Wu CC, Chen PL. (2023). Risk of traumatic intracranial hemorrhage among patients after a new stroke: a nationwide population-based cohort study in Taiwan. 18th WFNS World Congress of Neurosurgery meeting, Cape Town, South Africa. (Oral Presentation Award)
  • Lam C. (2023). Pediatric traffic accident injuries. 2023 Taiwan Public Health Joint Annual Conference (Taiwanese Injury Prevention & Safety Promotion Association), Kaohsiung, Taiwan. (Invited Speaker)
  • Principal Investigator (PI).  Higher Education Sprout Project by the Ministry of Education. Using the artificial intelligence algorithms with prospective sociodemographic data and clinical data to predict 30-day readmission among patients with respiratory tract infection in emergency department. 2023.
  • Principal Investigator (PI). National Taipei University of Technology and Wan Fang Hospital, Taipei Medical University Joint Research Program. Application of a Geographic Information System to explore the association between injury severity of road traffic accidents and the environmental risk actors among middle-aged and elderly patients. 2023.
  • Lam C. (2022). Effects of the COVID-19 pandemic on treatment efficiency for traumatic brain injury in the emergency department: a multicenter study in Taiwan. 2022 International Symposium on Biomedical Big Data and Precision Medicine, Taipei, Taiwan. (Invited Speaker)
  • Lam C. (2022). The risk factors of severe injury after motorcycle crashes in university neighborhoods. 42nd KSCCM Annual Congress and Asian Critical Care Conference 2022, online conference. (Oral Presentation Award)
  • Lam C, Chan TC, Liao KH, Chang WH, Hsu MH, Chiu WT. (2021). The effect of air pollution on injury severity among vulnerable road users after traffic accidents. 41st KSCCM Annual Congress and Asian Critical Care Conference 2021, online conference. (Oral Presentation Award)
  • Principal Investigator (PI). Ministry of Science and Technology. The influence of pre-existing diseases on functional ability and prognosis of the elderly trauma patients: a hospital-based cohort study. 2020.
  • Principal Investigator (PI). Establishment of traffic accident injury databank and application (2/2). 2020 Research Project with the Ministry of Transportation and Communications Institute of Transportation: Excellent
  • Lam C, Liao KS, Chiu WT, Chan TC, Hsu MH, Pai CW. (2020). The influence of environmental factors and air pollution on brain injury after road accidents. 40th KSCCM Annual Congress and Asian Critical Care Conference, Seoul, Korea. (Oral Presentation Award)
  • Lam C, Chiu WT. (2018). Improving timeliness and accuracy of data on road traffic injury severity in an emerging economy setting. 26th World ITMA Congress, Curitiba, Brazil (Oral Presentation Award)
  • Lam C, Wu CC, Chen PL. (2015). Predictive effect of injury characteristics of first fall on recurrent fall: nationwide study in Taiwan. 14th World Congress on Public Health, Kolkata, India. (Oral Presentation Award)

Educational Background
  • 2020 Doctor of Philosophy (Ph.D.) School of Public Health, College of Public Health, Taipei Medical University, Taiwan
  • 2006 Fellowship, Department of Emergency Medicine, Sir Mortimer B. Davis -Jewish General Hospital, McGill University, Canada
  • 2002 Master of Medical Science (M.M.S.)  Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taiwan
  • 1985 Bachelor of Medicine (M.B.) School of Medicine, College of Medicine, China Medical University, Taiwan

2 Vacancies

Job Description

Strong interest is required in any of the following topics

  1. Predicting Clinical Deterioration Post-Hospital/ED Discharge in Pneumonia Patients
  2. Unveiling Functional Trajectory Post-Hospitalization for Trauma Patients
  3. Examining the Impact of Air Pollution on Trauma Cases
  4. Spinal Cord Injury Epidemiology
  5. Road Traffic Injury Epidemiology
  6. Motorcycle Injury Epidemiology
  7. Emergency Medicine
  8. Injury Prevention

Preferred Intern Education Level

Students pursuing master's or Ph.D. programs in public health, clinical medicine, nursing, and life sciences.

Skill sets or Qualities

Skills in operating statistical software (e.g., SPSS, SAS, R, Python)

Experience in writing research reports

Knowledge in medicine or healthcare-related fields