A novel report generation approach for medical applications: The SISDS methodology and its applications

Background Despite exciting innovation in information system technologies, the medical reporting has remained static for a long time. Structured reporting was established to address the deficiencies in report content but has largely failed in its adoption due to concerns over workflow and productivity. The methods used in medical reporting are insufficient in providing with information for statistical processing and medical decision making as well as high quality healthcare. Objective The aim of this study is to introduce a novel method that enables professionals to efficiently produce medical reports that are less error-prone and can be used in decision support systems without extensive post-processing. Methodology We first present the formal definition of the proposed method, called SISDS, that provides a clear separation between the data, logic and presentation layers. It allows free-text like structured data entry in a structured form, and reduces the cognitive effort by inline editing and dynamically controlling the information flow based on the entered data. Then, we validate the usability and reliability of the method on a real-world testbed in the field of radiology. For this purpose, a sample esophagus report was constructed by a focus group of radiologists and real patient data have been collected using a web-based prototype; these data are then used to build a decision support system with off-the-shelf tools. The usability of the method is assessed by evaluating its acceptability by the users and the accuracy of the resulting decision support system. For reliability, we conducted a controlled experiment comparing the performance of the method to that of transcriptionist-oriented systems in terms of the rate of successful diagnosis and the total time required to enter the data. Result The most noticeable observation in the evaluation is that the rate of successful diagnosis improves significantly with the proposed method; in our case study, a success rate of 81.25% has been achieved by using the SISDS method compared to 43.75% for the transcriptionist-oriented system. In addition, the average time required to obtain the final approved reports decreased from 29 min to 14 min. Based on questionnaire responses, the acceptance rate of the SISDS methodology by users is also found to outperform the rates of the current methods. Conclusion The empirical results show that the method can effectively help to reduce medical errors, increase data quality, and lead to more accurate decision support. In addition, the dynamic hierarchical data entry model proves to provide a good balance between cognitive load and structured data collection

Lower extremity venous pathology mimicking deep vein thrombosis: 2 case reports

We report two cases of lower extremity venous pathology mimicking deep vein thrombosis (DVT). The first case was a 20-year-old male with swelling in the left leg. Colour Doppler ultrasound (CDUS) demonstrated a continuous flow pattern, and computed tomography (CT) revealed compression of the dilated left common iliac vein by the right common iliac artery (May-Thurner syndrome). This dilatation of the vein was caused by overload due to the drainage of the gluteal arteriovenous malformations into this vein. The second case was a 55-year-old female with swelling and pain of the left leg persisting for a year following an operation of a herniated lumbar disk. She was diagnosed as DVT and treated accordingly. Control CDUS performed in our department demonstrated a left iliac arteriovenous fistula and a pulsatile flow pattern in the left femoral vein. CT also confirmed this arteriovenous fistula. We suggest that if not all criteria for the diagnosis of DVT are fullfilled by CDUS, another imaging modality such as multidetector CT should be used