Strengthening public health surveillance through blockchain technology

Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review

Introduction

Breast cancer is one of the most common cancer among Indian women, with an incidence of 25.8 per 100,000 women according to the Ministry of Health and Family Welfare. Late detection is responsible for poor quality of life (QOL), and it is the leading cause of death. In metropolitan regions, one in every 22 women will have breast cancer over their lifetime; but in rural areas, one in every 60 women will develop breast cancer as per estimates.

Aim and objective

This paper aims to describe the various AI based breast screening technologies which are used in breast cancer screening in India.

Methodology

The literature search was done using "Pub Med," "Google scholar," and "Scopus" databases for the key terms "technology," "cancer research," "artificial intelligence," "mammography", "breast cancer," "cancer," and/or "neoplasia in breast." All the relevant articles were included to support this mini review.

Results

We found that emerging artificial intelligent technologies namely "Niramai", "iBreastExam," "MammoAssist" are emerging as an hope for early detection by screening in resource poor settings, in turn, which can improve the QOL among breast cancer patients.

Blockchain and population health

BACKGROUND

Blockchain technology has made great strides in many industries but has yet to impact the world of public health. Population health issues such as outbreak surveillance and controlled substance tracking during emergencies all require a secure, easily accessible database. While the healthcare industry is typically slow to adapt to change, blockchain technology lends itself well to many healthcare issues.

METHODS

We utilized a 3D framework using difficulty, novelty and necessity to examine the adoption of blockchain technology in population health, based on the 2D framework of difficulty and novelty as driving factors for the development of foundational technologies in the world of business by Iansiti and Lakhani in The Harvard Business Review.

RESULTS

We find that by implementing the third dimension of necessity into an evaluation framework, we can better predict the adoption of technology. We found how different areas of population health fit into the evaluation framework and how necessity can eliminate barriers from implementing novel technologies.

CONCLUSION

The byproduct of this paper will be the extension of the Iansiti and Lakhani framework. We will show that blockchain, in all of these domains, shows promise to improve population health as we move past COVID-19 and into the future of healthcare.

HerBChain, a blockchain-based informative platform for quality assurance and quality control of herbal products

The use of medicinal plants is popular worldwide. Correct herbal authentication is of paramount importance to the safety and best interest of consumers. On the market, there is no comprehensive blockchain-based system to track the processes from plantation to manufacturing and to the sale. With the advancement of information technology, an open and transparent blockchain-based platform, HerBChain, was created to enhance the quality control of herbal products. The implementation of blockchain technology is to minimize the manipulation of recorded information. HerBChain is an information platform for recording the six important processes of herbal product manufacturing and marketing, which include plantation base, TCM processing factory, TCM manufacturer, testing laboratory, distributor and retailer. By duly recording the parameters and data essential for product quality in manufacturing and supply chain, the traceability and reliability of the products can be ensured.

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A blockchain-based informative platform, HerBChain, was established for the herbal industry.

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Plantation base, processing factory, manufacturer, testing laboratory, distributor and retailer are recorded.

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The traceability and reliability of herbal products can be ensured.

Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review

BACKGROUND

In the era of big data, artificial intelligence (AI), and the Internet of Things (IoT), digital data have become essential for our everyday functioning and in health care services. The sensitive nature of health care data presents several crucial issues such as privacy, security, interoperability, and reliability that must be addressed in any health care data management system. However, most of the current health care systems are still facing major obstacles and are lacking in some of these areas. This is where decentralized, secure, and scalable databases, most notably blockchains, play critical roles in addressing these requirements without compromising security, thereby attracting considerable interest within the health care community. A blockchain can be maintained and widely distributed using a large network of nodes, mostly computers, each of which stores a full replica of the data. A blockchain protocol is a set of predefined rules or procedures that govern how the nodes interact with the network, view, verify, and add data to the ledger.

OBJECTIVE

In this article, we aim to explore blockchain technology, its framework, current applications, and integration with other innovations, as well as opportunities in diverse areas of health care and clinical research, in addition to clarifying its future impact on the health care ecosystem. We also elucidate 2 case studies to instantiate the potential role of blockchains in health care.

METHODS

To identify related existing work, terms based on Medical Subject Headings were used. We included studies focusing mainly on health care and clinical research and developed a functional framework for implementation and testing with data. The literature sources for this systematic review were PubMed, Medline, and the Cochrane library, in addition to a preliminary search of IEEE Xplore.

RESULTS

The included studies demonstrated multiple framework designs and various implementations in health care including chronic disease diagnosis, management, monitoring, and evaluation. We found that blockchains exhibit many promising applications in clinical trial management such as smart-contract application, participant-controlled data access, trustless protocols, and data validity. Electronic health records (EHRs), patient-centered interoperability, remote patient monitoring, and clinical trial data management were found to be major areas for blockchain usage, which can become a key catalyst for health care innovations.

CONCLUSIONS

The potential benefits of blockchains are limitless; however, concrete data on long-term clinical outcomes based on blockchains powered and supplemented by AI and IoT are yet to be obtained. Nonetheless, implementing blockchains as a novel way to integrate EHRs nationwide and manage common clinical problems in an algorithmic fashion has the potential for improving patient outcomes, health care experiences, as well as the overall health and well-being of individuals.

Could Blockchain Help With COVID-19 Crisis?

The novel coronavirus that causes the Coronavirus Disease 2019 (COVID-19) has spread all over the world at an unprecedented rate. With growing recognition of the distributed nature of health services, the technology of blockchain has recently reached the impetus of the healthcare domain. This article provides: 1) a panoramic overview of existing solutions and scenarios incorporating blockchain to combat COVID-19 in the healthcare domain along with their benefits and challenges; as well as 2) a framework that will facilitate new research activities on this subject.

Harnessing the potential of the primary healthcare facilities in India to respond COVID-19 pandemic: A scoping evidence-based research synthesis

COVID-19 has resulted in an unprecedented loss of human lives and sufferings across the world. It has resulted in the collapse of public health systems and economy across the globe. As most of the national health systems lack organized surveillance infrastructure, resources, and expertise to respond to a pandemic, most of the countries failed to mount an effective response to contain the spread of this virus initially. As primary healthcare (PHC) has better access to the community, the settings where PHC services are inadequate or weak, hospitals are overwhelmed with patients, thus overburdening, and wasting meager specialist resources. PHC interventions can manage mild to moderate cases (>80% of total cases) and their contacts, along with addressing the needs of general population while only severe cases may require specialized hospital care. As PHC interventions have huge potential to tackle this pandemic, strengthening and inclusion of PHC in pandemic response could play a significant role in relieving the workload on secondary and tertiary healthcare facilities and minimizing loss of lives and its short and long term socioeconomic consequences. This article explores the scope and importance of strengthening PHC in breaking the chain of the transmission of this infectious disease, building an adequate response to minimize its disastrous consequences and prevent future emerging and reemerging disease outbreaks, if any.

Why the tremendous potential of uploading health educational material on medical institutions' website remains grossly underutilized in the era of the Fourth Industrial Revolution?

Due to the short span available for consultation with clinicians, patients try to become well versed with their clinical conditions before the medical consultation. They search Google for their medical information; here comes the problem of authenticity of the sources. It is very difficult to obtain authentic medical information for the patients from the Internet. As a result, sometimes, patients ask questions to the overburdened doctors and irritate them. To solve this problem and wider dissemination of authentic medical knowledge, the existing website of Post Graduate Institute of Medical Education and Research (PGIMER) has been utilized. In PGIMER, Chandigarh, health education materials in text and video formats have been uploaded on the PGIMER website for empowering patients. All these have been successfully tested in the outpatient departments of PGIMER, Chandigarh. To our knowledge, this unique approach is the first of its kind in India. We hope this approach of sharing medical information through the PGIMER website may help patient empowerment to a large extent. Later, this concept can be replicated in all medical colleges in India.

Digital microbiology

BACKGROUND

Digitalization and artificial intelligence have an important impact on the way microbiology laboratories will work in the near future. Opportunities and challenges lie ahead to digitalize the microbiological workflows. Making efficient use of big data, machine learning, and artificial intelligence in clinical microbiology requires a profound understanding of data handling aspects.

OBJECTIVE

This review article summarizes the most important concepts of digital microbiology. The article gives microbiologists, clinicians and data scientists a viewpoint and practical examples along the diagnostic process.

SOURCES

We used peer-reviewed literature identified by a PubMed search for digitalization, machine learning, artificial intelligence and microbiology.

CONTENT

We describe the opportunities and challenges of digitalization in microbiological diagnostic processes with various examples. We also provide in this context key aspects of data structure and interoperability, as well as legal aspects. Finally, we outline the way for applications in a modern microbiology laboratory.

IMPLICATIONS

We predict that digitalization and the usage of machine learning will have a profound impact on the daily routine of laboratory staff. Along the analytical process, the most important steps should be identified, where digital technologies can be applied and provide a benefit. The education of all staff involved should be adapted to prepare for the advances in digital microbiology.

How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic

SARS-CoV2 is a novel coronavirus, responsible for the COVID-19 pandemic declared by the World Health Organization. Thanks to the latest advancements in the field of molecular and computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help in handling the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health facility utilization information. The present review is aimed at overviewing the potential applications of AI and Big Data in the global effort to manage the pandemic.