Patient-centered Medical Homes And Health Insurance Integration In Europe

Patient-centered Medical Homes And Health Insurance Integration In Europe – The medical home is best described as a model or philosophy of primary care that is patient-centered, comprehensive, team-based, coordinated, accessible, and focused on quality and safety. It has become a widely accepted model of how primary care should be organized and delivered throughout the health care system, and a philosophy of health care delivery that encourages providers and care teams to meet patients where they are, from the simplest to the most complex. Complex conditions. It is a place where patients are treated with respect, dignity, and compassion, and build strong and trusting relationships with providers and staff. Most importantly, the medical home is not the final destination. Rather, it is a model for achieving primary care excellence to provide care in the right place, at the right time, and in the manner that best suits the patient’s needs.

In 2007, the Association of Primary Care Physicians developed and endorsed the Patient-Centered Medical Home Principles. The model has since evolved, and today PCC actively promotes the medical home as defined by the Agency for Healthcare Research and Quality (AHRQ).

Patient-centered Medical Homes And Health Insurance Integration In Europe


Patient-centered Medical Homes And Health Insurance Integration In Europe

Adapted from the AHRQ definition, PCC describes the medical home as a means of delivering primary care as:

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By Mohamed Yaseen Jabarulla Mohamed Yaseen Jabarulla Scilit Google Scholar and Heung-No Lee Heung-No Lee Scilit Google Scholar *

Patient-centered Medical Homes And Health Insurance Integration In Europe

Received: 30 June 2021 / Revised: 16 July 2021 / Accepted: 28 July 2021 / Published: 8 August 2021

What Is A Patient Centered Care Plan?

The world is facing many health care challenges due to the spread of Corona virus disease COVID-19. The pandemic has exposed the limitations of managing public health emergencies using existing digital healthcare technologies. Therefore, the COVID-19 situation has forced research institutions and countries to rethink the evolution of health delivery solutions to ensure continuity of services while people stay at home and practice social distancing. Recently, many researchers have focused on disruptive technologies, such as blockchain and artificial intelligence (AI), to improve digital healthcare processes during the COVID-19 era. Blockchain can combat the spread of disease by enabling decentralized healthcare data sharing, protecting user privacy, providing data optimization, and ensuring reliable data management during outbreak monitoring. In addition, AI provides intelligent computer-aided solutions by analyzing medical images of patients and symptoms caused by the coronavirus for effective treatment, prediction of future epidemics, and drug production. Combining both blockchain and AI can transform the existing healthcare ecosystem by democratizing and optimizing clinical workflow. In this article, we begin with an overview of digital health services and the issues that have arisen during the COVID-19 outbreak. Next, we propose a decentralized, patient-centric healthcare framework based on blockchain and AI to mitigate the COVID-19 challenge. Then, we explore key applications of blockchain technology and integrated AI to augment existing public health strategies to deal with COVID-19. Finally, we highlight challenges and implications for future research within a patient-centered paradigm.

The new type of corona disease (COVID-19) has spread to almost all countries since it spread in December 2019 from Wuhan, China. The severity of this outbreak became widespread within a month of the outbreak. Wide range of viruses. Therefore, a Public Health Emergency of International Concern (PHEIC) was declared by the World Health Organization (WHO) [1]. The outbreak has forced many countries to close their borders, maintain lockdowns, and practice social distancing to limit the spread of COVID-19. These have led to major disruptions in the economy of many sectors, such as industry. industry, insurance, agriculture, supply chain, transportation, and tourism [2]. The pandemic has had an unexpected impact at the global level, not only at the economic level, but also pushing the health care system around the world to the limit, such as the lack of personal protective equipment (PPE) for medical workers and causing difficulties. In the diagnosis and monitoring of large populations [3]. In general, the health care system operates in a closed ecosystem of siled institutions, where health professionals (i.e., doctors, radiologists, clinicians, and researchers) are primarily responsible for medical information. The flow of information goes in one direction, i.e., health professionals to patients. However, in the era of digital patient health records, data is growing and flowing through closed healthcare systems faster than ever before. The one-to-one flow of information is given in many ways of information, exchanging relationships with many-to-many, one-to-many, and many-to-one [4]. In such cases, most of the coronavirus data collected from the public, hospitals, and clinical laboratories may not be honest, because the data is not collected according to the established guidelines [5] and is not monitored or stored properly due to the prevalence of digital patient health. record. Existing health care technology requires reliable data, which is important to provide accurate information widely about the new coronavirus. Moreover, the viral testing procedure using medical instruments to detect the coronavirus infection often takes several days to complete due to inaccuracies and processing large amounts of data. Finally, monitoring or surveillance of infected patients or their contacts raises many privacy issues [6]. These inadequacies revealed by COVID-19 have prompted healthcare organizations to transform existing digital healthcare systems to combat the pandemic situation. Overall, the digital healthcare ecosystem must facilitate clinical trials, front-line care, data surveillance, medical billing, medicine, drug delivery, treatment facilities, and strategic discovery. In addition, it is essential to design a more patient-centric and democratic digital healthcare ecosystem to combat COVID-19 and future pandemics using digital platforms.

Recently, many researchers have focused on the use of disruptive technologies, such as blockchain and artificial intelligence (AI), to provide solutions for these ongoing COVID-19 crises [7, 8]. Blockchain is a peer-to-peer (P2P) distributed and shared ledger, where transactions are digitally recorded into blocks. The nodes (miners) of the blockchain network are responsible for linking blocks to each other in order. Blockchain nodes have a copy of the data stored and keep their network active [9]. Therefore, the blockchain provides all history or data proof. It is possible to store test results, patient records, discharge summaries, and injection status in a blockchain digital account. These will support clinical laboratories, patients, hospitals, and government-funded health care organizations in a decentralized way to manage health care data using self-executing contracts called “smart contracts” [8]. A smart contract is a computer program that implements predetermined terms of agreement between participants when certain conditions are met in the blockchain network [10]. In addition, smart contracts based on blockchain technology can automate the audit process, medical supply chain management, epidemic monitoring, and remote patient monitoring [10]. On the other hand, AI technologies, such as machine learning and deep learning, have been used as powerful tools for optimizing detection, diagnosis, and vaccine/drug discovery, and for extensive data analysis [11]. In addition, the federated learning paradigm [12, 13] has gained traction for healthcare applications to solve data privacy and management issues by training collaborative AI models without sharing raw data sets. Therefore, AI can process large amounts of data in less time and at a fraction of the cost by performing tasks that are difficult to achieve manually. At the same time, blockchain can promote secure information access and interaction while protecting the privacy and security of health information [14]. Blockchain and AI technologies combined can improve the healthcare ecosystem by moving towards a patient-centered approach [15, 16, 17]. A patient-centered approach can provide a possible solution to the coronavirus outbreak for spreading treatment and managing the pandemic situation.

Although researchers have reviewed blockchain and AI to combat COVID-19 [18], these reviews mainly focus on the role of blockchain, such as the development of data storage, big data management,

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