http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Mohamed Bennani Othmani (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Real-Time Monitoring System to Manage Mental Healthcare Emergency Unit
Samy Housbane,Adil Khoubila,Khaoula Ajbal,Mohamed Agoub,Omar Battas,Mohamed Bennani Othmani 대한의료정보학회 2020 Healthcare Informatics Research Vol.26 No.4
Objectives: Real-time relevant information helps guide the healthcare decision-making process in daily clinical practice aswell as the management and optimization of healthcare processes. However, proprietary business intelligence suite solutionssupporting the production of decision-making information requires investment that is out of reach of small and mediumsizedhealthcare facilities or those with limited resources, particularly in developing countries. This paper describes our experiencein designing and implementing a real-time healthcare monitoring system solution to manage healthcare emergencyunits. Methods: Through the use of free Business Intelligence tools and Python data science language we designed a realtimemonitoring system, which was implemented to explore the Electronic Medical Records system of a university mentalhealth emergency unit and render an electronic dashboard to support health professional daily practice. Results: Three maindashboards were created to monitor patient waiting time, to access the clinical notes summary for the next waiting patient,and to obtain insights into activity during the last 24 hours. Conclusions: The designed system could serve as a monitoringsupport model using free and user-friendly data science tools, which are good alternatives to proprietary business intelligencesolutions and drastically reduce cost. Still, the key to success in decision-making systems is based on investment in humanresources, business intelligence skills training, the organizational aspect of the decision-making process, and data productionquality insurance.
-
Soukaina Zouine,Farida Marnissi,Nada Otmani,Mohamed Bennani Othmani,Nabil Zaid,Kevin Kojok,Younes Zaid,Nadia Tahiri Jouti,Norddine Habti 한국유방암학회 2020 Journal of breast cancer Vol.23 No.1
Purpose: Aberrant glycosylation of the histo-blood group antigens (including the angina bullosa haemorrhagica [ABH]) is often observed during malignant transformation in most types of carcinomas. Data concerning their ethnic distributions are diverse which explains why their biological characteristics have to be studied in different populations. Our aim was to analyze the expression of the histo-blood group (specifically the ABH) antigens in breast carcinoma. Methods: The expression of the histo-blood group (specifically the ABH) antigens was studied in 109 patients with breast carcinoma using immunohistochemistry. Statistical analysis was performed using χ2 and Fisher analyses. Results: The loss of expression of histo-blood group (ABH) antigens in breast carcinoma was observed in 81.13% of patients with blood group O, 37.93% with blood group A, and 96.30% with blood group B. One key finding of this study was that the loss of expression of the ABH antigen was also observed in normal tissues adjacent to the tumor. The loss of expression was associated with higher tumor grade (p < 0.05). Expression of H antigen was observed in 50% of cases with loss of expression of B antigen and was associated with human epidermal growth factor receptor 2 (HER2) overexpression (p < 0.05). The loss of H antigen in patients with blood group O was associated with estrogen receptor expression (p < 0.001). Incompatible A antigen in tumor was expressed in 20.75% of patients with blood group O. Conclusion: Loss of the ABH antigens correlated with the Scarff-Bloom-Richardson histologic grading. H antigen was associated with HER2 overexpression in breast cancer. However, further studies are needed to determine the role of incompatible A antigen in mammary carcinogenesis.
-
Monitoring Mental Healthcare Services Using Business Analytics
Samy Housbane,Adil Khoubila,Khaoula Ajbal,Zineb Serhier,Mohamed Agoub,Omar Battas,Mohamed Bennani Othmani 대한의료정보학회 2020 Healthcare Informatics Research Vol.26 No.2
Objectives: Monitoring healthcare activities is the first step for health stakeholders and health professionals to improve the quality and performance of healthcare services. However, monitoring remains a challenge for healthcare facilities, especially in developing countries. Fortunately, advances in business analytics address this need. This paper aims to describe the experience of a lowincome healthcare facility in a developing country in using business analytics descriptive techniques and to discuss business analytics implementation challenges and opportunities in such an environment. Methods: Business analytics descriptive techniques were applied on 3 years’ electronic medical records of outpatient consultation of the University Psychiatric Centre (CPU) of Casablanca. Statistical analysis was conducted to compare results over years. Results: Over the 3 monitored years, the monthly number of computerized physician order entries increased significantly (p < 0.001). Physicians improved their personal recording over years. Schizophrenia as well as depressive and bipolar disorders were noted at the top of outpatient mental disorders. Antipsychotics are the most prescribed drugs, and a significant annual decrease in outpatient care wait time was noted (p < 0.001). Conclusions: Business analytics allowed CPU to monitor mental healthcare outpatient activity and to adopt its business processes according to outcomes. However, challenges mainly in the organizational dimension of the decision-making process and the definition of strategic key metrics, data structuration, and the quality of data entry had to be considered for the optimal use of business analytics.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
