Publications by authors named "Jinah Sim"

This paper elucidates and rationalizes the ethical governance system for healthcare AI research, as outlined in the 'Research Ethics Guidelines for AI Researchers in Healthcare' published by the South Korean government in August 2023. In developing the guidelines, a four-phase clinical trial process was expanded to six stages for healthcare AI research: preliminary ethics review (stage 1); creating datasets (stage 2); model development (stage 3); training, validation, and evaluation (stage 4); application (stage 5); and post-deployment monitoring (stage 6). Researchers identified similarities between clinical trials and healthcare AI research, particularly in research subjects, management and regulations, and application of research results.

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  • The study examines the impact of social determinants on patient-reported outcomes (PROs) for childhood cancer survivors under 18 years old.
  • The research included 293 young survivors and their caregivers from St. Jude Children's Research Hospital, focusing on family dynamics and socioeconomic factors.
  • Findings indicate that caregiver anxiety, family conflicts, and living in socioeconomically deprived areas negatively affect survivors' mental health, sleep quality, and overall well-being, highlighting potential areas for intervention.
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Introduction: Patient-reported outcomes (PROs; symptoms, functional status, quality-of-life) expressed in the 'free-text' or 'unstructured' format within clinical notes from electronic health records (EHRs) offer valuable insights beyond biological and clinical data for medical decision-making. However, a comprehensive assessment of utilizing natural language processing (NLP) coupled with machine learning (ML) methods to analyze unstructured PROs and their clinical implementation for individuals affected by cancer remains lacking.

Areas Covered: This study aimed to systematically review published studies that used NLP techniques to extract and analyze PROs in clinical narratives from EHRs for cancer populations.

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Purpose: Since identified in December 2019, the novel coronavirus disease 2019 (COVID-19) has had a global impact on medical resource use and costs for patients with cancer in South Korea. This study aimed to identify the medical use and costs among patients with cancer during the COVID-19 pandemic, to predict these patterns in South Korea in the future.

Methods: We conducted a secondary claims data analysis using the National Health Insurance Service database for the calendar period of 2019-2020.

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  • - The systematic review focuses on how natural language processing (NLP) and machine learning (ML) are utilized to analyze unstructured patient-reported outcome (PRO) data in electronic health records (EHRs), highlighting existing literature as well as future possibilities in clinical care.
  • - A total of 79 studies were reviewed, revealing that most employed NLP/ML to extract and categorize PROs, with applications in predicting disease progression and creating NLP/ML analysis pipelines.
  • - Findings indicate a variety of linguistic features were used to process PROs, and while traditional rule-based methods are common, there is a call for the adoption of advanced neural ML techniques for better analysis outcomes.
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Purpose: Social distancing and strict visitor restrictions at hospitals have been national policies since the onset of the coronavirus disease 2019 (COVID-19) pandemic. This has challenged the concept of a good death in comfort with the opportunity to say goodbye. Little is known about how these measures have influenced end-of-life (EOL) care among cancer patients who die in acute care hospitals.

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Background: Treatment-related late effects can worsen over time among cancer survivors. Such worsening health states may trigger changes in internal standards, values, or conceptualization of quality-of-life (QOL). This "response-shift" phenomenon can jeopardize the validity of QOL assessment, and misrepresent QOL comparisons over time.

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Patient-reported outcome measures (PROMs) are subjective assessments of health status or health-related quality of life. In childhood cancer survivors, PROMs can be used to evaluate the adverse effects of cancer treatment and guide cancer survivorship care. However, there are barriers to integrating PROMs into clinical practice, such as constraints in clinical validity, meaningful interpretation, and technology-enabled administration of the measures.

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Patient-reported outcomes (PROs) are used in clinical work and research to capture the subjective experiences of childhood cancer patients and survivors. PROs encompass content domains relevant and important to this population, including health-related quality-of-life (HRQOL), symptoms, and functional status. To inform future efforts in the application of PRO measures, this review describes the existing generic and cancer-specific PRO measures for pediatric cancer populations and summarizes their characteristics, available language translations, content coverage, and measurement properties into tables for clinicians and researchers to reference before choosing a PRO measure that suits their purpose.

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Objective: The COVID-19 pandemic has changed peoples' routine of daily living and posed major risks to global health and economy. Few studies have examined differential impacts of economic factors on health during pandemic compared to pre-pandemic. We aimed to compare the strength of associations between perceived health and socioeconomic position (household income, educational attainment, and employment) estimated before and during the pandemic.

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Background: Hypernatremia is a common electrolyte disorder in children and elderly people and has high short-term mortality. However, no high-quality studies have examined the correction rate of hypernatremia and the amount of fluid required for correction. Therefore, in this study, we will compare the efficacy and safety of rapid intermittent bolus (RIB) and slow continuous infusion (SCI) of electrolyte-free solution in hypernatremia treatment.

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Objectives: We investigated the impact of the COVID-19 pandemic on cancer care in a tertiary hospital in Korea without specific lockdown measures.

Methods: A retrospective cohort of cancer patients from one of the largest tertiary hospitals in Korea was used to compare healthcare utilization in different settings (outpatient cancer clinic, the emergency department [ED], and admissions to the hematology/oncology ward) between January 1 and December 31, 2020 and the same time period in 2019. The percent changes in healthcare utilization between the 2 periods were calculated.

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Social epigenomics is an emerging field in which social scientist collaborate with computational biologists, especially epigeneticists, to address the underlying pathway for biological embedding of life experiences. This social epigenomics study included long-term childhood cancer survivors enrolled in the St. Jude Lifetime Cohort.

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Background: People face many obstacles to overcoming crisis in life and proactively manage life crises. This study aimed to evaluate the association of self-management strategy with subjective health and well-being for the general South Korean population.

Methods: We recruited 1,200 respondents using an equal-probability sampling method from March to May 2018.

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  • This study investigates how effective natural language processing (NLP) and machine learning (ML) are in identifying pain and fatigue symptoms reported by child and adolescent cancer survivors, comparing these methods to expert evaluations.
  • Conducted with a group of 8 to 17-year-olds and their caregivers, researchers analyzed interview data from St. Jude Children's Research Hospital, extracting 391 units related to pain and 423 related to fatigue.
  • Results indicate that the BERT NLP model outperformed other ML methods in accurately classifying symptom attributes, achieving high accuracy rates for cognitive and social aspects of pain and fatigue.
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Online inquiry platforms, which is where a person can anonymously ask questions, have become an important information source for those who are concerned about social stigma and discrimination that follow mental disorders. Therefore, examining what people inquire about regarding mental disorders would be useful when designing educational programs for communities. The present study aimed to examine the contents of the queries regarding mental disorders that were posted on online inquiry platforms.

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  • The Health-Friendly Activity Index (HFAI) was developed to measure the health-friendly practices of companies and assess their impact on consumer health outcomes.
  • The questionnaire went through a three-phase development process and included 105 items across six domains, validated through field testing with 302 participants from various Korean companies.
  • The HFAI showed strong reliability and positive correlations with health outcomes, suggesting it is a useful tool for corporate managers to evaluate and improve their health-related activities.
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Purpose: To evaluate the impact of co-morbidities on financial hardship in adult cancer survivors and the role of health insurance and a usual source of care (i.e., a particular doctor's office/health center/other place that the person usually goes if he/she is sick or needs advice) in relieving this impact.

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Background: It is well-established that cancer treatment substantially increases the risk of long-term adverse health outcomes among childhood cancer survivors. However, there is limited research on the underlying mechanisms. To elucidate the pathophysiology and a possible causal pathway from treatment exposures to cardiometabolic conditions, we conducted epigenome-wide association studies (EWAS) to identify the DNA methylation (DNAm) sites associated with cancer treatment exposures and examined whether treatment-associated DNAm sites mediate associations between specific treatments and cardiometabolic conditions.

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The primary goal of this study was to evaluate the major roles of health-related quality of life (HRQOL) in a 5-year lung cancer survival prediction model using machine learning techniques (MLTs). The predictive performances of the models were compared with data from 809 survivors who underwent lung cancer surgery. Each of the modeling technique was applied to two feature sets: feature set 1 included clinical and sociodemographic variables, and feature set 2 added HRQOL factors to the variables from feature set 1.

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Objectives: Content elucidation for patient-reported outcomes (PROs) in paediatric cancer survivorship is understudied. We aimed to compare differences in the contents of five PRO domains that are important to paediatric cancer survivorship through semistructured interviews with paediatric cancer survivors and caregivers, and identified new concepts that were not covered in the item banks of the Patient-Reported Outcomes Measurement Information System (PROMIS).

Design: Semistructured interviews to collect qualitative PRO data from survivors and caregivers.

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  • A study assessed the effectiveness of a 3-month electronic health management program, Smart Healthing, for patients with cardiovascular risk factors like hypertension, diabetes, or high cholesterol.
  • In a randomized controlled trial with 106 participants, those using the app showed significantly better outcomes in achieving key health goals compared to a control group receiving basic information.
  • Results indicated substantial improvements, particularly in blood pressure and diabetes management, suggesting that digital self-management tools can effectively enhance health outcomes in at-risk patients.
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Purpose: This study compared the measurement properties for multiple modes of survey administration, including postal mail, telephone interview, and Web-based completion of patient-reported outcomes (PROs) among survivors of childhood cancer.

Methods: The population included 6,974 adult survivors of childhood cancer in the Childhood Cancer Survivor Study who completed the Brief Symptom Inventory-18 (BSI-18), which measured anxiety, depression, and somatization symptoms. Scale reliability, construct validity, and known-groups validity related to health status were tested for each mode of completion.

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