stewardship is not a new concept for public policy, but has not been used to its optimum by the health policy-makers. although it is being practiced in most successful models of health system, but the onus to this function is still due till date. lately, few experts in world health organization (who) have realized its importance and have been raising the issue at different platforms to pursue t...

this survey was carried out on children less than five years of age from rural areas of three provinces in iran (west azarbaijan, bushehre, and central province), with different health care delivery systems and various types of immunization scheme, to determine the immune status of measles and the vaccine coverage. our results indicate that the rates of measles immunity and vaccine coverage for...

We outline the fundamental properties of a highly participatory rapid learning system that can be developed in part from meaningful use of electronic health records (EHRs). Future widespread adoption of EHRs will make increasing amounts of medical information available in computable form. Secured and trusted use of these data, beyond their original purpose of supporting the health care of indiv...

A learning health system (LHS) integrates research done in routine care settings, structured data capture during every encounter, and quality improvement processes to rapidly implement advances in new knowledge, all with active and meaningful patient participation. While disease-specific pediatric LHSs have shown tremendous impact on improved clinical outcomes, a national digital architecture t...

New smartphone technologies for the first time provide a platform for a new type of on-person, public health data collection and also a new type of informational public health intervention. In such interventions, it is the device via automatically collecting data relevant to the individual’s health that triggers the receipt of an informational public health intervention relevant to that individ...

This Paper presents efficient machine learning algorithms and techniques used in extracting disease and treatment related sentences from short text published in medical papers. The main objective of this work is to show what Natural Language Processing (NLP) and machine learning techniques used for representation of information and what classification algorithms are suitable for identifying & c...

nearly three decades ago, the master of public health (mph) academic degree was introduced to tehran university of medical sciences' school of public health, tehran, iran. a new program for simultaneous education of medical, pharmaceutical and dental students was initiated in 2006. talented students had the opportunity to study mph simultaneously. there were some concerns about this kind of adm...

national health information network (nhin) is a network in which all health care organizations, government agencies and other health-related organizations are connected to each other to exchange information about health. due to the necessity of a framework for nhin development, in this paper, according to the literature review, a definition for nhin framework was provided, and then the nhin rel...

background and objectives: informal payment in the health settings is a significant challenge facing the health system, with consequences such as inequity in access to healthcare services, distrust to health care system, and dissatisfied customers. detailed identification of the nature of the problem is perquisite to developing relevant overcoming strategies. given that, this study aimed at pro...