Original Article: The impacts of DRG payment system on financial balance of multiple trauma: Experiences of three trauma centers in Taiwan.

INTRODUCTION: There are concerns regarding the adequacy of applying the diagnosis-related groups (DRG) payment system for multiple traumas (i.e., major diagnostic category 24, MDC-24) patients in Taiwan. Therefore, this study used a multi-center dataset to assess the influence of the DRG payment system on the cost and outcome of multiple trauma care. MATERIALS AND METHODS: We collected data of all multiple trauma patients from the Trauma Registry of three hospitals from 2014 - 2017. Next, we selected patients who met the criteria of MDC-24 and calculated the corresponding DRG payment. Subsequently, we combined the clinical care information with health insurance information to analyze the problems of applying the DRG payment system to multiple trauma care. RESULTS: Overall, of 465 cases, 367 met the criteria of MDC-24, and the mean injury severity score (ISS) was high (average 20.1). The total deficit of the polytrauma DRG cases amounted to 131,445 USD, and the average deficit in each case was 397 USD. In the multivariable analysis, higher revised trauma score and specific lower abbreviated Injury Scale (AIS) scores in certain body regions resulted in profits, while increased length of stay in intensive care units, longer operative time, and higher AIS score in the thorax were significantly correlated with deficits in medical costs. CONCLUSION: Our study revealed that the current DRG payment system results in financial losses for hospitals. Further, the payment grouping of MDC-24 should consider adding more disease severity factors to reduce the financial constraints faced by trauma centers.

Prediction of ROSC After Cardiac Arrest Using Machine Learning.

Out-of-hospital cardiac arrest (OHCA) is an important public health problem, with very low survival rate. In treating OHCA patients, the return of spontaneous circulation (ROSC) represents the success of early resuscitation efforts. In this study, we developed a machine learning model to predict ROSC and compared it with the ROSC after cardiac arrest (RACA) score. Results demonstrated the usefulness of machine learning in deriving predictive models.

Application of tele-ultrasound in emergency medical services.

In emergency medical services, portable ultrasound scanners have the potential to become new-age stethoscopes for emergency physicians. For trauma cases in particular, portable ultrasound scanners can scan the chest and abdomen of emergency patients both rapidly and conveniently. This study describes the development of tele-ultrasound for pre-diagnosis in a medical emergency setting as a part of the updated Mobile Hospital Emergency Medical System (MHEMS). An emergency medical technician can provide an emergency physician with a patient's ultrasound images and medical information during the patient's pre-hospitalization and transportation period using a combination of the MHEMS, the portable ultrasound scanner, and the onboard 3G communication capabilities. The MHEMS includes a Dispatch and Mission Control Center that facilitates the communication between the Emergency Department of a specified hospital, the systems aboard the ambulance. Early receipt of information relevant to the patient will enhance pre-diagnosis options for on-duty emergency physicians and allow for a hospital's emergency department to promptly prepare necessary surgical instruments or beds. Furthermore, emergency medical technicians can also obtain instructions from on-duty physicians to enhance damage and disaster control ability in critical moments.

Ultrasonographic screening of clinically-suspected necrotizing fasciitis.

OBJECTIVE: To determine the accuracy of ultrasonography for the diagnosis of necrotizing fasciitis. METHODS: This study was a prospective observational review of patients with clinically-suspected necrotizing fasciitis presenting to the emergency department of an urban (Taipei) medical center between October 1996 and May 1998. All patients underwent ultrasonographic examination, with the ultrasonographic diagnosis of necrotizing fasciitis based on the criterion of a diffuse thickening of the subcutaneous tissue accompanied by a layer of fluid accumulation more than 4 millimeters in depth along the deep fascial layer, when compared with the contralateral position on the corresponding normal limb. The final diagnosis of necrotizing fasciitis was determined by pathological findings for patients who underwent fasciotomy or biopsy results for patients managed nonoperatively. RESULTS: Data were collected for 62 patients, of whom 17 (27.4%) were considered to suffer from necrotizing fasciitis. Ultrasonography revealed a sensitivity of 88.2%, a specificity of 93.3%, a positive predictive value of 83.3%, a negative predictive value of 95.4%, and an accuracy of 91.9% as regards the diagnosis of necrotizing fasciitis. CONCLUSIONS: Ultrasonography can provide accurate information for emergency physicians for the diagnosis of necrotizing fasciitis.