Projects

The national survey of non-communicable disease risk factors is conducted every 4 to 5 years in Iran by order of the World Health Organization. In this national study, sample data of about 30,000 people are collected from all over the rural and urban areas of the country. This information includes demographic information, tonometry, blood pressure, medical history, lifestyle and laboratory results. The Vista team is proud to be conducting this survey electronically for the first time in the country in 2015 with the cooperation of the Non-Communicable Diseases Research Center, and has praised the United Nations for the Islamic Republic of Iran in conducting this survey.

An integrated information system for various user groups and processes was implemented in the form of mobile software and web-based monitoring and management systems. Given the successful experience of implementing this project in 2015, the Vista team in 2020 also designed the software systems of this project, which added several new features to the software systems.

Cancer is a leading cause of death globally and its treatment has one of the highest financial burdens on health systems. Establishment of effective information systems on individuals with cancer plays a critical role in its surveillance and evaluation of prevention and control interventions. We are working with the deputy of health at MoHME to overhaul its national cancer registry system. This platform aims to improve patient data quality, seamlessly draw data from other national health databases such as SIB and SEPAS, provide descriptive and analytical dashboards for continuous surveillance and evidence-based policymaking, implement guidelines and chemotherapy protocols, and provide tools for patient services.

Due to the growing volume, diversity and speed of hospital data produced, in different HIS systems of the country, the need for a solution for optimal management of this data, decentralized and with high performance and access. Due to the different data structures, in different software across the country, the need for infrastructure to aggregate this data should be considered. At the lowest possible cost, store, update, and retrieve information outside of the HIS space. This integration of information will streamline the system, at the level of reporting and identifying unconventional patterns, at the national level, and creating up-to-date information sources for evidence-based policy-making.

In this national plan, the quality of services provided for 7 diseases, including Diabetes, heart attack, stroke, depression, heart failure, kidney failure, chronic lung disease is measured in the country. For each disease, an Android application is designed, as well as a web-based system for managing patients, users, system processes, and reporting.

Since the beginning of the COVID-19 outbreak in Iran, we partnered with MoHME deputies of research and health, Central Bank of Iran, and other public and private entities to create an information portal for the COVID-19 outbreak within a week of the first reported case in Iran (available at corona.research.ac.ir). The portal caters to both the general public, businesses, and health authorities at UMSs as well as MoHME. We teamed up with around 40 medical students to translate scientific research and guidelines on COVID-19 into easily accessible articles for both the general public and health professionals. To reduce the rate of unnecessary visits to care facilities, we devised a simple self-screening questionnaire to advise on course of action based on symptoms. In addition, we used COVID-19 patients transactions data to trace their movements prior to onset of symptoms and informed the public on high-risk areas based on this data. We provided detailed information on high-risk places of business and super-spreaders using network analysis to UMSs and health networks as an additional point of information for prioritizing their disinfection and testing activities. A detailed registry system was finally designed for UMSs to enter clinical and sociodemographic data of COVID-19 patients to aid current and future research into the subject.

Due to the growing trend of using information technology tools in the health system, the volume of information produced is growing significantly, especially since scientific medical studies are currently producing a significant amount of information in the form of cloud data. This information, after appropriate processing, is presented in the form of reports to senior managers in the direction of decision-making based on evidence. Obviously, the publication of these reports requires several thousand pages of books, which due to the static nature of the type of display in the book, many features such as comparison, preparation of a special report, application of new filters and 3 will be taken away from the beneficiaries of these reports. The impossibility of answering the questions in the policy body, at the required time, always creates a gap between this group and the researchers in the relevant fields.

Sepid cloud-based electronic health record system. It leverages cloud data storage, management, analytics to empower patients and enhance their care experience. The platform creates a unified patient profile by integrating health and clinical data from partner providers such as physician practices, clinics, laboratories, and national health databases, as well as patient self-reports. Our health analytics APIs utilize this data to predict the risk of non-communicable diseases, track laboratory results, and analyse lifestyle and metabolic risk factors to provide personalized recommendations to clients. The platform utilizes behavioural science and gamification concepts to encourage healthy behaviour in clients.

RABIT, which stands for “Research and Business Integrated Tools”, is a chain tool for government, businesses, universities, research centers, and researchers to gather data in various scientific forms, analyze through spectacular data pipeline and finally visualize the results. In RABIT you can design multiple research structures such as clinical trials, disease registries, cohort,s and surveys.