Identifying cancer patients who received palliative care using the SPICT-LIS in medical records: a rule-based algorithm and text-mining technique.

Background: Due to limited numbers of palliative care specialists and/or resources, accessing palliative care remains limited in many low and middle-income countries. Data science methods, such as rule-based algorithms and text mining, have potential to improve palliative care by facilitating analysis of electronic healthcare records. This study aimed to develop and evaluate a rule-based algorithm for identifying cancer patients who may benefit from palliative care based on the Thai version of the Supportive and Palliative Care Indicators for a Low-Income Setting (SPICT-LIS) criteria.

The trend of opioid prescriptions among cancer patients in a tertiary hospital: A multimethod quantitative study.

Introduction: Pain is a major symptom in cancer patients. World Health Organization recommends opioids as the main analgesic agent. Few studies have examined the amount of opioid uses in cancer patients in Southeast Asia, however, none of them have examined the factors associated with the amount of opioid uses which were lower than required.

Diabetes Mellitus as Cancer Risk: A 14-year, Cross-Sectional Analysis.

Diabetes mellitus is widely thought to be a risk factors of cancers, but evidence of the association remains inconclusive, especially in Asian countries where few relevant studies have been conducted. Our study aimed to estimate overall and specific types of cancer risks among diabetes patients in Southern Thailand. Patients diagnosed with diabetes who visited the outpatient clinic of Songklanagarind Hospital during 2004 to 2018 were included.

Drug Recommendation from Diagnosis Codes: Classification vs. Collaborative Filtering Approaches.

Over time, large amounts of clinical data have accumulated in electronic health records (EHRs), making it difficult for healthcare professionals to navigate and make patient-centered decisions. This underscores the need for healthcare recommendation systems that help medical professionals make faster and more accurate decisions. This study addresses drug recommendation systems that generate an appropriate list of drugs that match patients' diagnoses.

Systematic adaptation of the Thai version of the supportive and palliative care indicators tool for low-income setting (SPICT-LIS).

Background: Identification of patients who might benefit from palliative care among countries with different socioeconomic and medical contexts is challenging. The Supportive and Palliative Care Indicators Tool for a Low-income Setting (SPICT-LIS) was designed to help physicians identify patients in low-income setting who might benefit from palliative care. We aimed to systematically adapt and refine the SPICT-LIS for Thai general palliative care providers.