Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia
- URL: http://arxiv.org/abs/2409.14194v1
- Date: Sat, 21 Sep 2024 16:50:16 GMT
- Title: Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia
- Authors: Rusham Elahi, Zia Tahseen, Tehreem Fatima, Syed Wafa Zahra, Hafiz Muhammad Abubakar, Tehreem Zafar, Aqs Younas, Muhammad Talha Quddoos, Usman Nazir,
- Abstract summary: South Asian countries are working to improve their primary healthcare system.
Data-driven surveillance approaches are required.
We propose to harness current breakthroughs in Earth-observation technology.
- Score: 1.9058065795191268
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Primary healthcare is a crucial strategy for achieving universal health coverage. South Asian countries are working to improve their primary healthcare system through their country specific policies designed in line with WHO health system framework using the six thematic pillars: Health Financing, Health Service delivery, Human Resource for Health, Health Information Systems, Governance, Essential Medicines and Technology, and an addition area of Cross-Sectoral Linkages. Measuring the current accessibility of healthcare facilities and workforce availability is essential for improving healthcare standards and achieving universal health coverage in developing countries. Data-driven surveillance approaches are required that can provide rapid, reliable, and geographically scalable solutions to understand a) which communities and areas are most at risk of inequitable access and when, b) what barriers to health access exist, and c) how they can be overcome in ways tailored to the specific challenges faced by individual communities. We propose to harness current breakthroughs in Earth-observation (EO) technology, which provide the ability to generate accurate, up-to-date, publicly accessible, and reliable data, which is necessary for equitable access planning and resource allocation to ensure that vaccines, and other interventions reach everyone, particularly those in greatest need, during normal and crisis times. This requires collaboration among countries to identify evidence based solutions to shape health policy and interventions, and drive innovations and research in the region.
Related papers
- Can Personalized Medicine Coexist with Health Equity? Examining the Cost Barrier and Ethical Implications [0.0]
Personalized medicine promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors.
High costs and infrastructure demands raise concerns about exacerbating health disparities, especially between high-income countries (HICs) and low- and middle-income countries (LMICs)
This paper explores the financial and ethical challenges of PM implementation, with a focus on ensuring equitable access.
arXiv Detail & Related papers (2024-11-04T17:31:10Z) - Harnessing the Digital Revolution: A Comprehensive Review of mHealth Applications for Remote Monitoring in Transforming Healthcare Delivery [1.03590082373586]
The review highlights various types of mHealth applications used for remote monitoring, such as telemedicine platforms, mobile apps for chronic disease management, and wearable devices.
The benefits of these applications include improved patient outcomes, increased access to healthcare, reduced healthcare costs, and addressing healthcare disparities.
However, challenges and limitations, such as privacy and security concerns, lack of technical infrastructure, regulatory is-sues, data accuracy, user adherence, and the digital divide, need to be addressed.
arXiv Detail & Related papers (2024-08-26T11:32:43Z) - An AI-Enabled Framework Within Reach for Enhancing Healthcare Sustainability and Fairness [34.45323376456333]
We propose a camera-based public health (CBPH) framework utilizing visual physiological monitoring technology.
CBPH can be considered as a convenient and universal framework for public health, advancing the United Nations Sustainable Development Goals.
CBPH provides a comprehensive solution for building a large-scale and human-centric medical database.
arXiv Detail & Related papers (2024-04-21T04:37:24Z) - Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources [47.57108369791273]
Scarcity of health care resources could result in the unavoidable consequence of rationing.
There is no universally accepted standard for health care resource allocation protocols.
We propose a transformer-based deep Q-network to integrate the disease progression of individual patients and the interaction effects among patients.
arXiv Detail & Related papers (2023-09-15T17:28:06Z) - A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises [52.31710895034573]
This work provides the first comprehensive review of healthcare knowledge graphs (HKGs)
It summarizes the pipeline and key techniques for HKG construction, as well as the common utilization approaches.
At the application level, we delve into the successful integration of HKGs across various health domains.
arXiv Detail & Related papers (2023-06-07T21:51:56Z) - The Design and Implementation of a National AI Platform for Public
Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
The Italian National Health Service is adopting Artificial Intelligence through its technical agencies.
Such a vast programme requires special care in formalising the knowledge domain.
Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
arXiv Detail & Related papers (2023-04-24T08:00:02Z) - Redesigning Electronic Health Record Systems to Support Developing
Countries [0.0]
This paper proposes a novel EHR architecture suitable for developing countries.
Our architecture foresees an internet-free (offline) solution to allow medical transactions between healthcare organizations.
We discuss how artificial intelligence can leverage anonymous health-related information to enable better public health policy and surveillance.
arXiv Detail & Related papers (2023-01-31T19:16:38Z) - The Role of Robotics in Infectious Disease Crises [46.43737882437637]
The recent coronavirus pandemic has highlighted the challenges faced by the healthcare, public safety, and economic systems when confronted with a surge in patients.
There is a complementary need to anticipate and address the engineering challenges associated with infectious disease emergencies.
As technical capabilities advance and as the installed base of robotic systems increases in the future, they could play a much more significant role in future crises.
arXiv Detail & Related papers (2020-10-19T22:54:12Z) - Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state.
The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
arXiv Detail & Related papers (2020-09-21T03:45:14Z) - SSHealth: Toward Secure, Blockchain-Enabled Healthcare Systems [13.035267999201935]
This paper presents a novel smart and secure Healthcare system (ssHealth), which permits epidemics discovering, remote monitoring, and fast emergency response.
We develop a blockchain-based architecture and enable a flexible configuration thereof, which optimize medical data sharing between different health entities.
We highlight the benefits of the proposed ssHealth system and possible directions for future research.
arXiv Detail & Related papers (2020-06-18T20:34:56Z) - Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918.
Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases.
We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
arXiv Detail & Related papers (2020-04-16T15:53:42Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.