Objective To explore the whole constructive conception and organization structure strategy of multi-disciplinary team (MDT) for colorectal cancer (CRC). Methods Combined the characteristics of large public hospital, with recognized treatment pathway in MDT for CRC and the way of medical project construction, MDT for CRC project team summarized a system of MDT for CRC of West China Hospital (MDT-CRC-WCH) by own characteristics and subject feature. Results MDT for CRC summarized the 5 basic characteristics about profession, classification, interaction, optimization and fast. The project has the core competencies: system new operation types for colorectal cancer and volunteer culture. By the matrix organization structure, MDT set the main departments: database team, follow-up team, nursing team and public team. Conclusion With effective MDT whole construction and suitable organization structure, MDT will develop in long time.
Objective To explore the personnel framework strategy of multi-disciplinary treatment (MDT) for colorectal cancer. Methods Combined the characteristics of large public hospital, with recognized treatment pathway in international MDT for colorectal cancer and management of medical human resource, colorectal cancer MDT project team summarized a system of multi-disciplinary treatment-working for colorectal cancer of West China Hospital (MDT-CRC-WCH) by own management mechanism and subject feature. Results Based on the main four principles——whole, match, voluntary and interactive, MDT-CRC-WCH constructed reciprocation “concentric circle” with the team of directors, coordinators, colorectal surgeons, related professors, nursing and other assistants.Conclusion With construction of multi-layers, MDT for colorectal cancer is completing MDT personnel framework and suitable layers relation. And how to construct prolong active and innovative system of MDT human resource management needed more research.
Objective The article explained how to build the data system and its running strategy in the mode of multi-disciplinary team （MDT） for colorectal carcinoma. Methods It illuminated the cause of the data system building, also described the essential composition of the data system and how to support the running of the data system, and it discussed the value feedback of the data system, lastly the author proposed the prospect of the data system building. Results The data system could work normally through consultation of doctors, follow-up, clinical support and appropriate implement of construction of information flow-sheet in colorectal carcinoma MDT mode. Conclusion As the foundation of colorectal carcinoma MDT, data system could show both medical and social value through change of medical mode.
ObjectiveTo explain the latest concepts of colorectal surgery, and predict the future direction of it. MethodsA review and summary based on the clinical experience of our hospitals and theses over the past years and new advances on the researches in home and abroad were performed. ResultsDoctors should attach more importance to anal preserving operation; and there should be more usage of fast track in colorectal surgery. Besides, predicting low risk of postoperative complications and digitizing colorectal surgery also needed more attention. ConclusionThose aspects of colorectal surgery in the result need further development.
ObjectiveTo unscramble personal data and its tags and structures of Database from Colorectal Cancer (DACCA) in West China Hospital.MethodThe way of words for description was used.ResultsThe definition and setting of 23 items with 18 categories for the personal data from DACCA in West China Hospital was performed. The relevant data label of each item and the structured way needed at the big data application stage were elaborated and the corrective precautions of classification items were described. The three classification items involved privacy attention were described in detailed.ConclusionsBased on description about personal data from DACCA in West China Hospital, it is provided a clinical standard and guide for analyzing of DACCA in future. It also could provide enough experience for construction of colorectal cancer database by staff from same occupation.
ObjectiveTo analyze the follow-up data of colorectal cancer in the Database from Colorectal Cancer (DACCA).MethodsThe information in the Dacca database was screened, and the one whose operative date and follow-up date were not blank in the total data was selected. The follow-up data were analyzed, including length of follow-up, survival outcomes, coping styles (doctors’ attitude and reaction for follow-up), follow-up path (whether to choose out-patient, Wechat, QQ tools, phone call, text message, mobile application, face-to-face), the number of follow-up (the number of out-patient follow-up, the number of telephone follow-up, and the number of follow-up within 5 years).ResultsA total of 6 437 data items were analyzed for colorectal cancer adjuvant follow-up. ① The follow-up period of five years (2004–2015) was 56.6% (3 642/6 437), and the follow-up time was 0–201, 67 (26, 97) months. ② The highest data composition ratio of survival outcomes was “Survival” (79.7%, 4 611/5 787), and in the data with five-year follow-up period (2004–2015), the highest data composition ratio of survival outcomes was “Survival” (75.0%, 2 550/3 401), and the survival rate of the five-year follow-up period in 2008 was the highest (91.4%, 235/257). ③ The highest data composition ratio of the coping styles was the doctors’ active follow-up (76.8%, 2 121/2 762). ④ The highest data composition ratio of the follow-up path was out-patient service (90.6%, 4 236/4 676). ⑤ The highest data composition ratio of the number of out-patient follow-up was conducted by the original surgical team (100%, 4 380/4 380), the specific number was 0–130、5 (2, 10) times. The data composition ratio of telephone follow-up was 86.9% (3 808/4 380) and the specific number was 0–68、0 (0, 1) times. The highest frequency of follow-up was in the first year (89.9%, 3 044/3 386) and the specific number was 0–73、5 (3, 9) times.ConclusionBy expounding the characteristics of the colorectal cancer follow-up from colorectal cancer in DACCA, it provides some references for using big data to determine prognosis.