For female physicians, it is important to nurture an environment that enables them to take advantages of support for child rearing as well as for their return to their original jobs. It is also critical for physicians, whether female or male, to receive education to recognize the professional/occupational missions of being a physician. Once they have received environmental support and mission clarification, they will be able to realize an uninterrupted career in order to attain their social contributions.

　The Committee on Studies of Career Education for Female Physicians has set five learning objectives by examining the required abilities and capabilities of a physician.

The proposed five learning objectives are to acquire:

(1) Professional awareness of the missions of being a physician,

(2) Ability to make career plans,

(3) Flexibility to embrace diverse values of the profession,

(4) Appropriate attitudes for both those receiving and those offering the support, because it should be the responsibility of the medical community,

(5) Recognition of social gender differences and acquires the capability to deal with such differences.

All organizations related to medical education should promote these five learning objectives.

　The Committee on Studies of Career Education for Female Physicians set five learning objectives for all physicians to nurture abilities for continuous public participation by women physicians. Next, we discussed the learning objectives corresponding to the learning period and made a road map. Further more, we proposed our new target-based education program and methods for its assessment.

Backgroud
Sri Lanka is a developing and multiracial country, located in the Indian ocean near the equator, with a population of approximately 20 million. It has a parliamentary democratic system of government and over 80% of hospitals belong to government and medical services are free of charge. Literacy rate of Sri Lanka is higher than the neighbouring countries of the region, and the government's health policies, based on the promotion of Maternal & Child and Geriatric health, are on the way to success.
According to the Health Master Plan (HMP) by the Ministry of Healthcare & Nutrition (MOH&N) ,the health problems in this country are classified into three categories based on epidemiological and medical economics:
i) Continuing Problems such as dengue fever, ii) Emerging Problems such as HIV/AIDS, and iii) Evolving Problems such as lifestyle-related diseases.
It is apprehensive thatthe health conditions and economics of individual Sri Lankan and Nation's economics will be compelled to face the multiple burdens in the near future.
JICA's Technical Support (JTS)
JTS on the first prevention against non-communicable diseases (NCDs) has been already startedby JICA after receiving the request by the government of Sri Lanka in order to avoid the catastrophic situations pointed out by HMP. Futhermore, the trend analyses on the data of inpatients suffered 59 types of communicable or NCDs from 1983 to 2003 were performedto propose the tagets and contents of the new JTS. As a result, ffifteen diseases were statistically significant, and nine out of the above15 cases were NCDs.
Because lifestyle-related diseases such as ischemic heart disease, cardiovascular diseases occupy four positions out of five leading causes of death in recent past of Sir Lanka, new model system which combines the first prevention and screening of high-risk persons and early treatment system was proposed to MOH&N.
The flow of the basic model projiect, composed of two screening steps to detect thespecific persons having high-risks such as obesity, hypertension, high cholesterol, etc., is classified into three groups to receive optimum healthcare sevices at the nearby hospitals.
Fortunately, MOH&N made a request for the new JTS based on this proposal to the government of Japan. Consequently, the budget of this project proposal was approved and is now under the practical arrangements by JICA.

In 2021, the National Institute of Infectious Diseases, Japan, undertook enhanced event-based surveillance (EBS) for infectious diseases occurring overseas that have potential for importation (excluding coronavirus disease 2019 [COVID-19]) for the Tokyo 2020 Olympic and Paralympic Summer Games (the Games). The pre-existing EBS system was enhanced using the World Health Organization Epidemic Intelligence from Open Sources system and the BlueDot Epidemic Intelligence platform. The enhanced EBS before and during the Games did not detect any major public health event that would warrant action for the Games. However, information from multiple sources helped us identify events, characterize risk and improve confidence in risk assessment. The collaboration also reduced the surveillance workload of the host country, while ensuring the quality of surveillance, even during the COVID-19 pandemic.

The establishment of enhanced surveillance systems for mass gatherings to detect infectious diseases that may be imported during an event is recommended. The World Health Organization Regional Office for the Western Pacific contributed to enhanced event-based surveillance for the Tokyo 2020 Olympic and Paralympic Games (the Games) by using Epidemic Intelligence from Open Sources (EIOS) to detect potential imported diseases and report them to the National Institute of Infectious Diseases (NIID), Japan. Daily screening of media articles on global infectious diseases was conducted using EIOS, which were systematically assessed to determine the likelihood of disease importation, spread and significant impact to Japan during the Games. Over 81 days of surveillance, 103 830 articles were screened by EIOS, of which 5441 (5.2%) met the selection criteria for initial assessment, with 587 (0.6%) assessed as signals and reported to NIID. None of the signals were considered to pose a significant risk to the Games based on three risk assessment criteria. While EIOS successfully captured media articles on infectious diseases with a likelihood of importation to and spread in Japan, a significant manual effort was required to assess the articles for duplicates and against the risk assessment criteria. Continued improvement of artificial intelligence is recommended to reduce this effort.