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Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

The dataset used in this study encompasses admissions from all 43 public hospitals of the Hospital Authority (HA), which manage approximately 80% of hospital admissions in Hong Kong and account for nearly 90% of total bed-days [19]. The data were extracted from the Hospital Authority Data Collaboration Lab (HADCL), and the details were described elsewhere [20]. The clinical records were written in English.

Xing Xing Qian, Pui Hing Chau, Daniel Y T Fong, Mandy Ho, Jean Woo

JMIR Aging 2025;8:e65195

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

The 2023 Policy Address of the Hong Kong Special Administrative Region (HKSAR) Chief Executive marked the first use of “xingfu” as the headline, and introduced initiatives to promote the residents’ xingfu [11]. This shows that the HKSAR Government has started to prioritize promoting xingfu, which was rarely mentioned in Hong Kong under the British rule before 1997. Hong Kong is one of the most westernized cities in China, with 91.6% of the population being ethnic Chinese [12].

Katherine Y P Sze, Sai Yin Ho, Agnes Yuen Kwan Lai, Jing Jia, Heng Xu, Shirley Man Man Sit, Tai Hing Lam, Man Ping Wang

JMIR Form Res 2025;9:e73350

Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

For example, a case study by Kong et al [20] highlighted the successful application of the DWCS technology in the management of a male patient with type 1 diabetes and multiple comorbidities, including chronic kidney disease and a previous toe amputation. Initially managed for osteomyelitis of a chronic foot ulcer via text and email, the patient transitioned to using the DWCS Patient Connect app for monitoring and management between June 2020 and January 2021.

Rose Raizman, José Luis Ramírez-GarciaLuna, Tanmoy Newaz, Sheila C Wang, Gregory K Berry, Ling Yuan Kong, Heba Tallah Mohammed, Robert D J Fraser

J Particip Med 2025;17:e69470