Time-Driven Activity Based Costing Analysis of Panretinal Photocoagulation.

Time-driven activity-based costing analysis of panretinal photocoagulation shows 47.8% of cases have a negative margin relative to maximum Medicare reimbursement, with large financial disincentives for bilateral cases, which may disincentivize high-value care for vulnerable patients.

Biallelic variants in CCN2 underlie an autosomal recessive kyphomelic dysplasia.

Kyphomelic dysplasia is a rare heterogenous group of skeletal dysplasia, characterized by bowing of the limbs, severely affecting femora with distinct facial features. Despite its first description nearly four decades ago, the precise molecular basis of this condition remained elusive until the recent discovery of de novo variants in the KIF5B-related kyphomelic dysplasia. We ascertained two unrelated consanguineous families with kyphomelic dysplasia.

Late diagnosis of Marfan syndrome is associated with unplanned aortic surgery and cardiovascular death.

Background: Marfan syndrome (MFS) guidelines recommend optimal pharmacologic therapy (OPT) and replacement of the ascending aorta (RAA) at 5.0 cm in diameter to prevent acute type A aortic dissection (ATAAD) and death. The effect of early MFS diagnosis and initiation of therapy on outcomes is not known.

Evaluating a Natural Language Processing-Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study.

Background: International Classification of Diseases codes are widely used to describe diagnosis information, but manual coding relies heavily on human interpretation, which can be expensive, time consuming, and prone to errors. With the transition from the International Classification of Diseases, Ninth Revision, to the International Classification of Diseases, Tenth Revision (ICD-10), the coding process has become more complex, highlighting the need for automated approaches to enhance coding efficiency and accuracy. Inaccurate coding can result in substantial financial losses for hospitals, and a precise assessment of outcomes generated by a natural language processing (NLP)-driven autocoding system thus assumes a critical role in safeguarding the accuracy of the Taiwan diagnosis related groups (Tw-DRGs).