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Journal articles on the topic 'Computer applications in medicine and health care'

Author: Grafiati

Published: 28 July 2024

Last updated: 31 July 2025

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1

Hasman, A. "Medical informatics. Computer applications in health care." International Journal of Bio-Medical Computing 31, no. 3-4 (1992): 257–59. http://dx.doi.org/10.1016/0020-7101(92)90009-h.

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2

Widman, Lawrence. "Medical informatics, computer applications in health care." Artificial Intelligence in Medicine 2, no. 4 (1990): 231–32. http://dx.doi.org/10.1016/0933-3657(90)90061-u.

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Riva, G. "Applications of Virtual Environments in Medicine." Methods of Information in Medicine 42, no. 05 (2003): 524–34. http://dx.doi.org/10.1055/s-0038-1634379.

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Summary Objectives: This paper intends to investigate the role of virtual reality (VR) in medicine. In particular it outlines the current state of research and technology that is relevant to the development of effective virtual environments in medicine. Methods: After describing the two different visions of VR we can find in medicine – the presentation of virtual objects to all of the human senses in a way identical to their natural counterpart, and a new human-computer interaction paradigm in which users are active participants within a computer-generated three-dimensional virtual world – the

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Dr., Deivanayagi, and Afreen Fathima. I. M. "Practical Implications of Artificial Intelligence of Health Care." International Journal of Innovative Science and Research Technology 7, no. 2 (2022): 930–33. https://doi.org/10.5281/zenodo.6374847.

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Artificial Intelligence (AI) makes use of computer techniques to carry out clinical diagnosis and medical treatments and various healthcare applications such as robotic surgery, diagnosis, precise medicine, drug delivery¹¹. It is mainly helps in administrative tasks which consumes most of the healthcare practitioner's times. Artificial intelligence and Robotics become the standard "keep wellbeing" in healthcare management, proven it's no longer science fiction.

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Katikala, Surendra, Venkata Sai Suman Ruthvik Chedella, and Amar Lokesh Annamala. "Artificial Intelligence Transformation in the Health Care Industry and Its Applications." International Journal of Medicine and Pharmaceutical Research 13, no. 1 (2025): 66–73. https://doi.org/10.30904/j.ijmpr.2025.4822.

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Artificial intelligence (AI) is the programing of computer systems to analyze, problem-solve, and make decisions just as a human would. AI was first introduced in the 1950s with many limitations finally which would developed compared. Advancements in AI programs have been happening since it was first introduced in the 1950s. The use of them has had a positive impact on the quality of medicine improving accuracy, consistency, and efficiency in all aspects. The most widely known and accepted evidence-based medicine used today are flowcharts and database research. A physician will take the patien

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Ram, Kumar Garg. "Artificial intelligence transforms the health care System: Challenges & opportunity." A STUDY TO ASSESS THE DEPRESSION AMONG GERIATRIC 3, no. 2 (2023): 1270–72. https://doi.org/10.5281/zenodo.7879616.

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For data-intensive analysis and knowledge-based management, artificial intelligence requires knowledge and skills about data quality. The advancement of computer science through the incorporation of innovation in fields like epidemiology, biology, medicine, and public health is necessary for AI to help the larger purpose of public health. Applications fall into three main categories: administrative tasks, patient engagement and adherence, and diagnosis and treatment suggestions. AI implementation is required to improve the effectiveness of managing health services and making medical judgments.

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Basil, Ola. "The Impact of Using Computer Techniques and Its Applications in Medicine Fields." International Journal of Information technology and Computer Engineering, no. 25 (September 27, 2022): 35–40. http://dx.doi.org/10.55529/ijitc.25.35.40.

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Due to the development in information and computer technology, these technologies have been applied in various medical fields, which is reflected in the future medical development in the areas of treatment and management of confidential information for patients. Personal health is one of the most crucial parts of everyone's life, practically all computer techniques and applications that have showed technological and scientific potential are quickly used in medicine. For this reason, it is necessary to take care of computer technologies and develop it. Moreover, studying its effect on the speed

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Marckmann, Georg, and Kenneth W. Goodman. "Introduction: Ethics of Information Technology in Health Care." International Review of Information Ethics 5 (September 1, 2006): 2–5. http://dx.doi.org/10.29173/irie188.

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Computer-based information and communication technologies continue to transform the delivery of health care and the conception and scientific understanding of the human body and the diseases that afflict it. While information technology has the potential to improve the quality and efficiency of patient care, it also raises important ethical and social issues. This IRIE theme issue seeks to provide a forum to identify, analyse and discuss the ethical and social issues raised by various applications of information and communication technology in medicine and health care. The contributions give a

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Arthi.G, Lakshmana kumar. V, Sushil Kumar P N, and Rathinam J. "Ancient Siddha Approach Towards Mother and Child Health Care." International Research Journal of Ayurveda & Yoga 05, no. 07 (2022): 158–64. http://dx.doi.org/10.47223/irjay.2022.5721.

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Siddha System of medicine is the ancient traditional system. The word Siddha means accomplished or perfect.‘ The food itself is medicine and medicine itself is food’ is one of the basic principles of the Siddha system of Medicine. Siddha Medicine not only acts as a curative and also as a preventive measure. Ancient Siddhars’ (Founders of the Siddha system) described Mother care includes Antenatal, Postnatal, and also child care. The Tamil Nadu Government introduced the ‘Amma Magaperu SanjeeviScheme’ for antenatal and postnatal care. During pregnancy we have to take care of a mother, she gets s

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Quazi, Sameer, and Javid Ahmad Malik. "A Systematic Review of Personalized Health Applications through Human–Computer Interactions (HCI) on Cardiovascular Health Optimization." Journal of Cardiovascular Development and Disease 9, no. 8 (2022): 273. http://dx.doi.org/10.3390/jcdd9080273.

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Introduction: Currently, the deployment of human–computer interactive technologies to provide personalized care has grown and immensely taken shape in most healthcare settings. With the increasing growth of the internet and technology, personalized health interventions including smartphones, associated apps, and other interventions demonstrate prowess in various health fields, including cardiovascular management. This systematic review thus examines the effectiveness of various human–computer interactions technologies through telehealth (mainly eHealth) towards optimizing the outcomes in cardi

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An, Shinki. "Academic Medicine Is Patient-Centered Medicine." Korean Medical Education Review 21, no. 2 (2019): 80–91. http://dx.doi.org/10.17496/kmer.2019.21.2.80.

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The tripartite mission of ‘academic medicine’ is education, research, and patient care. Academic medical centers (AMCs) are carrying out the mission and ultimately aiming to improve the health of people and communities. Globally, AMCs are facing a tremendous financial risk stemming from the changes in health insurance reimbursement plans and a shortage of human resources. Innovative AMCs in the United States are trying to transform their physician-centered, and siloed structure into a patient-centered, and integrated structure. They are also building integrated systems with primary healthcare

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Nikhade, Sima, Prof Mrunalini P. Moon, Rani Dhanjode, et al. "Smart Medical Health Prediction System Application Using Data Mining." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2031–35. http://dx.doi.org/10.22214/ijraset.2024.59251.

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Abstract: This project can benefit from the use of data mining techniques in a variety of fields, including science, medicine, and education. Because of laws and computer accessibility, a lot of data is now available in the medical and health care sectors. It is no longer necessary to handle such a large amount of data at once because of the significant advancements in computer technology made by modern technology. Evaluating data mining methods for clinical and healthcare applications is one of the paper's main goals, which aims to facilitate informed decision-making. In the world of computer

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Serrano, Martín, Ahmed Elmisery, Mícheál Ó. Foghlú, Willie Donnelly, Cristiano Storni, and Mikael Fernström. "Pervasive Computing Support in the Transition towards Personalised Health Systems." International Journal of E-Health and Medical Communications 2, no. 3 (2011): 31–47. http://dx.doi.org/10.4018/jehmc.2011070102.

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This paper discusses pervasive computing work in the transition from traditional health care programs to personalised health systems (pHealth). A chronological guided transition survey is discussed to highlight trends in medicine describing their most recent developments about health care systems. Future trends in this interdisciplinary techno-medical area are described as research goals. Particularly, research and technological efforts concerning ICT’s and pervasive computing in healthcare and medical applications are presented to identify systems requirements supporting secure and reliable n

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Klumpp, Matthias, André Hanelt, Maike Greve, et al. "Accelerating the Front End of Medicine: Three Digital Use Cases and HCI Implications." Healthcare 10, no. 11 (2022): 2176. http://dx.doi.org/10.3390/healthcare10112176.

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Digital applications in health care are a concurrent research and management question, where implementation experiences are a core field of information systems research. It also contributes to fighting pandemic crises like COVID-19 because contactless information flow and speed of diagnostics are improved. This paper presents three digital application case studies from emergency medicine, administration management, and cancer diagnosis with AI support from the University Medical Centers of Münster and Göttingen in Germany. All cases highlight the potential of digitalization to increase speed a

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Sweeney, Megan, Kaavya Paruchuri, and Saul Weingart. "Going Mobile: Resident Physicians' Assessment of the Impact of Tablet Computers on Clinical Tasks, Job Satisfaction, and Quality of Care." Applied Clinical Informatics 09, no. 03 (2018): 588–94. http://dx.doi.org/10.1055/s-0038-1667121.

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Background There are few published studies of the use of portable or handheld computers in health care, but these devices have the potential to transform multiple aspects of clinical teaching and practice. Objective This article assesses resident physicians' perceptions and experiences with tablet computers before and after the introduction of these devices. Methods We surveyed 49 resident physicians from 8 neurology, surgery, and internal medicine clinical services before and after the introduction of tablet computers at a 415-bed Boston teaching hospital. The surveys queried respondents abou

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Jeong, Dae Chul. "The Current and Future State of Academic Medicine in Korea: Education, Research, and Patient Care." Korean Medical Education Review 21, no. 2 (2019): 73–79. http://dx.doi.org/10.17496/kmer.2019.21.2.73.

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Academic medicine is built from a foundation of education, research, and patient care. Since good patient care results from the application of medical research and continuous education, these three components cannot be separated for medical development to occur. In Korea, many obstacles hinder the achievement of academic medicine, such as an inefficient medical delivery system, limitations of primary care, low insurance prices, and no long-term health care plan. Medical education has changed to outcome-based education, but presented temporal integration status. Governance of healthcare researc

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Kerna, Nicholas A., Taylor M. Nicely, Kingsley Chigozie Iheanacho, et al. "Current Applications of Artificial Intelligence in Reproductive Medicine (and Predominant OB/GYN and Andrologic Conditions)." European Journal of Theoretical and Applied Sciences 3, no. 3 (2025): 110–22. https://doi.org/10.59324/ejtas.2025.3(3).10.

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Artificial intelligence (AI) has increasingly permeated clinical domains, including reproductive medicine, where its applications span from gamete assessment to population-level epidemiology. The convergence of machine learning, deep learning, natural language processing, and computer vision has enabled novel diagnostic, predictive, and decision-support tools that enhance clinical efficiency and patient outcomes. This paper provides a review of current AI technologies in reproductive medicine, encompassing assisted reproductive technologies, prenatal care, maternal health, sexual and contracep

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Nicholas, A. Kerna, M. Nicely Taylor, Chigozie Iheanacho Kingsley, et al. "Current Applications of Artificial Intelligence in Reproductive Medicine (and Predominant OB/GYN and Andrologic Conditions)." European Journal of Theoretical and Applied Sciences 3, no. 3 (2025): 110–22. https://doi.org/10.59324/ejtas.2025.3(3).10.

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Artificial intelligence (AI) has increasingly permeated clinical domains, including reproductive medicine, where its applications span from gamete assessment to population-level epidemiology. The convergence of machine learning, deep learning, natural language processing, and computer vision has enabled novel diagnostic, predictive, and decision-support tools that enhance clinical efficiency and patient outcomes. This paper provides a review of current AI technologies in reproductive medicine, encompassing assisted reproductive technologies, prenatal care, maternal health, sexual and contracep

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Masic, Izet. "The History and New Trends of Medical Informatics." Donald School Journal of Ultrasound in Obstetrics and Gynecology 7, no. 3 (2013): 301–12. http://dx.doi.org/10.5005/jp-journals-10009-1298.

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ABSTRACT The breakthrough of the computer and information technologies in all the segments of the society, led to the needs for the computer and information technologies. The knowledge of information technology is now part of general literacy. The computer literacy does not require comprehensive and detailed knowledge of the electronics or programming. Although with the electronic computer which is the invention of our age, the attempts of the construction of the first machine for the processing of the information reach far in the history of human civilization. The only and global function of

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20

Islam, S. M. Riazul, Jaime Lloret, and Yousaf Bin Zikria. "Internet of Things (IoT)-Based Wireless Health: Enabling Technologies and Applications." Electronics 10, no. 2 (2021): 148. http://dx.doi.org/10.3390/electronics10020148.

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Moehr, J. R. "Where to in the Next Ten Years of Health Informatics Education?" Methods of Information in Medicine 45, no. 03 (2006): 283–87. http://dx.doi.org/10.1055/s-0038-1634076.

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Summary Objectives: To explore whether education in health/ medical informaticsa should continue to evolve along the lines pursued since the early seventies, or whether a change is advisable. Methods: Roots and key resulting characteristics for European and US American approaches HI education are identified. In Europe holistic approaches based on a synthesis of medicine and informatics (= computer science) with programs ranging from vocational training through university programs to doctoral and postdoctoral programs were characteristic. The US American approaches emphasized the higher levels

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Bhargava, Hansa, Carmela Salomon, Srinivasan Suresh, et al. "Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics." Journal of Medical Internet Research 26 (February 29, 2024): e49022. http://dx.doi.org/10.2196/49022.

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Artificial intelligence (AI) broadly describes a branch of computer science focused on developing machines capable of performing tasks typically associated with human intelligence. Those who connect AI with the world of science fiction may meet its growing rise with hesitancy or outright skepticism. However, AI is becoming increasingly pervasive in our society, from algorithms helping to sift through airline fares to substituting words in emails and SMS text messages based on user choices. Data collection is ongoing and is being leveraged by software platforms to analyze patterns and make pred

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Martin-Sanchez, F., I. Iakovidis, S. Nørager, et al. "Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care." Journal of Biomedical Informatics 37, no. 1 (2004): 30–42. http://dx.doi.org/10.1016/j.jbi.2003.09.003.

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Bellini, Pierfrancesco, Ivan Bruno, Daniele Cenni, Alice Fuzier, Paolo Nesi, and Michela Paolucci. "Mobile Medicine: semantic computing management for health care applications on desktop and mobile devices." Multimedia Tools and Applications 58, no. 1 (2011): 41–79. http://dx.doi.org/10.1007/s11042-010-0684-y.

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Cassinadane, Ananda Vayaravel, Akshaya Sridhar, Priyanka Sekar, and Sami Ranajan Sahoo. "Internet of things in medicine and dentistry." International Journal of Clinical Biochemistry and Research 9, no. 2 (2022): 98–105. http://dx.doi.org/10.18231/j.ijcbr.2022.020.

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The internet of Things (IoT) in medical arena, also known as internet of medical things (IoMT) is the collection of medical devices and application connecting healthcare Information Technology (IT) system by means of online computer networks. It enables virtually any medical devices as well as non digitalized things (like pills and beds) to connect process and communicate data via web. IoMT allows medical devices and health-care items to exchange data on the spot, online with anyone who has a genuine need for it. The aura of IoMT includes wireless communication technologies, cloud computing, w

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Andrews, Anya. "Integration of Augmented Reality and Brain-Computer Interface Technologies for Health Care Applications: Exploratory and Prototyping Study." JMIR Formative Research 6, no. 4 (2022): e18222. http://dx.doi.org/10.2196/18222.

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Background Augmented reality (AR) and brain-computer interface (BCI) are promising technologies that have a tremendous potential to revolutionize health care. While there has been a growing interest in these technologies for medical applications in the recent years, the combined use of AR and BCI remains a fairly unexplored area that offers significant opportunities for improving health care professional education and clinical practice. This paper describes a recent study to explore the integration of AR and BCI technologies for health care applications. Objective The described effort aims to

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Bin, Kaio Jia, Adler Araujo Ribeiro Melo, José Guilherme Moraes Franco da Rocha, et al. "The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study." JMIR Formative Research 6, no. 2 (2022): e29012. http://dx.doi.org/10.2196/29012.

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Background To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clínicas of the Faculdade de Medicina da Universidade de São Paulo during the COVID-19 pandemic. Objective The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect o

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Misra, Subhas C., Sandip Bisui, and Kamel Fantazy. "Identifying Critical Changes in Adoption of Personalized Medicine (PM) in Healthcare Management." International Journal of E-Health and Medical Communications 7, no. 3 (2016): 1–15. http://dx.doi.org/10.4018/ijehmc.2016070101.

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Among the emerging areas in health-care system, the implementation of Electronic Medical Record system and the discovery of Personalized Medicine are occupying top positions. While some of the personalized drugs have already been discovered, implementing this new medicare system requires a lot of changes in the traditional health-care system. This paper aims at identifying these critical changes required in the adoption of the Personalized Medicine system. A systemic attempt has been made to prepare a list of possible changes required for the adoption based on available literature. This resear

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Chen, A., K. Vayrynen, R. L. Leskela, et al. "The Acceptability of Implementing Patient-Reported Measures in Routine Maternity Care: A Systematic Review." Obstetric Anesthesia Digest 44, no. 1 (2024): 37–38. http://dx.doi.org/10.1097/01.aoa.0001005412.31845.33.

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(Acta Obstet Gynecol Scand AOGS. 2023; 102: 406–419) Patient-reported measures (PRMs) can be an important tool in assessing and capturing a patient’s perspective care in maternal medicine. By using PRMs, health care providers can measure the overall health and well-being of patients while they receive obstetric treatment, allowing more patient-centered care.

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B. Christina Sweetline, C. Vijayakumaran, and A. Samydurai. "Patient Monitoring for Personalized Mobile Health (PMH) based on Medical Virtual Instruments." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 16 (2023): 82–94. http://dx.doi.org/10.3991/ijim.v17i16.42687.

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One of the newest technologies, mobile health, has the potential to support the provision of care for older adults and offer them individualised treatment. This study’s goal is to evaluate the benefits and challenges of personalised mobile health (PMH) for elderly residential care. Virtual worlds are quickly integrating into the landscape of instructional technologies. One of the most well-known of these settings is Second Life (SL). Despite the potential of SL for health professions education, there aren’t many official SL applications for this purpose, and the effectiveness of these applicat

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Richter, Schneider, and Klein-Weigel. "Computer and internet use in vascular outpatients - ready for interactive applications?" Vasa 38, no. 4 (2009): 338–45. http://dx.doi.org/10.1024/0301-1526.38.4.338.

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Background: Exploring patients’ computer and internet use, their expectations and attitudes is mandatory for successful introduction of interactive online health-care applications in Angiology. Patients and methods: We included 165 outpatients suffering from peripheral arterial disease (PAD; n = 62) and chronic venous and / or lymphatic disease (CVLD; n = 103) in a cross-sectional-study. Patients answered a paper-based questionnaire. Results: Patients were predominantly female (54.5 %). 142 (86.1 %) reported regular computer use for 9.7 ± 5.8 years and 134 (81.2 %) used the internet for 6.2 ±

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RAJARAM MOHAN, Karthik, Saramma MATHEW FENN, and Ravikumar PETHAGOUNDER THANGAVELU. "Recent innovations and technological advancements in Dentistry and Medicine." International Arab Journal of Dentistry 14, no. 1 (2023): 67–71. http://dx.doi.org/10.70174/iajd.v14i1.863.

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The newer innovations play an important role in the earlier diagnosis of dental caries based on near-infrared transillumination imaging such as Diagnocam and Soprocare intraoral digital cameras, which aid in the diagnosis of dental caries and also differentiate old and newer dental plaques, respectively. Nanoparticles used as carriers for effective and targeted drug therapies in the treatment of rheumatoid arthritis of the temporomandibular joint (TMJ) and candidiasis among chronic denture wearers provided better-increased bioavailability than oral formulations. Artificial intelligence (AI) us

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Keng Siau. "Health care informatics." IEEE Transactions on Information Technology in Biomedicine 7, no. 1 (2003): 1–7. http://dx.doi.org/10.1109/titb.2002.805449.

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Akins, Ralitsa, and Hoi Ho. "Clinical Simulation in Modern Teaching and Training of Sonography in Obstetrics and Gynecology." Donald School Journal of Ultrasound in Obstetrics and Gynecology 3, no. 4 (2009): 17–21. http://dx.doi.org/10.5005/jp-journals-10009-1030.

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Abstract Advances in computer technology, hardware and software have made ultrasound a diagnostic imaging technique of choice in certain areas of medicine or specialties such as obstetrics and gynecology. In teaching and training of obs/gyne ultrasonography, medical educators can utilize different forms of clinical simulators: traditional standardized patients and standard ultrasound diagnostic equipment, computer-based simulators, ultrasound simulators or ultrasound simulators with manikins. The popularity of a simulator is determined not only by its features, ease of use and cost, but also b

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Pandey, Dr Abhishek, Dr Dhiral Vijayavargiya, Dr Priyabrata Jena, Dr Pujitha Yalavarthy, Dr Lekha Nalluri, and Dr Saurabh Prakash Vairagade. "Application of CBCT in Oral Medicine: A Review." Academia Journal of Medicine 7, no. 1 (2024): 49–53. http://dx.doi.org/10.62245/ajm.v7.i1.8.

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Cone Beam Computed Tomography (CBCT) represents a significant advancement in the field of Oral Medicine, offering three-dimensional imaging that provides detailed anatomical information. This imaging technique has revolutionized the way clinicians diagnose, plan treatment, and manage a wide range of dental and maxillofacial conditions. The applications of CBCT in Oral Medicine are vast, ranging from implantology and orthodontics to endodontics and maxillofacial surgery. This paper explores the key applications of CBCT in oral health care, emphasizing its advantages over traditional two-dimensi

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Ti, Yen-Wu, Shang-Kuan Chen, and Wen-Chieh Wu. "A New Visual Cryptography-Based QR Code System for Medication Administration." Mobile Information Systems 2020 (November 3, 2020): 1–10. http://dx.doi.org/10.1155/2020/8885242.

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In health care, medication errors can result in serious health risks to patients, and hospitals require a secure medication administration system to prevent such errors. This paper therefore proposes a secure medication administration method based on threshold sharing technology. When a patient visits a doctor and the doctor prescribes n medications, a photo and the personal information of the patient are encoded into n QR code transparencies that can be decoded by common QR code scanners available for smartphones. The prescription and n QR code transparencies are then stored in a hospital’s m

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R., Senthil Prabhu, Priyanka R., and Rajasoundarya S. "Artificial Intelligence – Emerging Trends in Management of Pandemics." Pharmaceutical and Chemical Journal 8, no. 2 (2021): 6–17. https://doi.org/10.5281/zenodo.13960762.

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Digital Health strategically leverages digital technologies, empowering patients to manage their illness, reduce health risk, and promote health and wellness. This era of digital innovation within our health care system provides new alternatives for managing chronic conditions, diagnosing diseases earlier, and promoting prevention. The extensive scope of digital health encompasses technologies such as mobile health (m Health) apps; artificial intelligence (AI) enabled medical devices, and smart connected devices. Artificial intelligence (AI) is a branch of computer science that deals with the

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Necheporenko, N. I., T. V. Peresypkina, and T. P. Sidorenko. "Use of innovative computer technologies in providing health monitoring of children and adolescents of school age." Klinical Informatics and Telemedicine 15, no. 16 (2020): 142–47. http://dx.doi.org/10.31071/kit2020.16.13.

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Introduction. The current achievements of modern science are the use of specialized automated systems and applications in various fields of medicine. In the current context of health care reform, the burden on health workers who provide medical care to school-age children is growing. The purpose of the work. With the declining level of children’s health, the system of optimizing the monitoring of children’s health and their physical development is becoming an urgent issue. Results. The proposed program is based on MS Access, VBA programming language. Designed for a comprehensive automatic asse

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Alauddin, Muhammad Syafiq, Ahmad Syukran Baharuddin, and Mohd Ifwat Mohd Ghazali. "The Modern and Digital Transformation of Oral Health Care: A Mini Review." Healthcare 9, no. 2 (2021): 118. http://dx.doi.org/10.3390/healthcare9020118.

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Dentistry is a part of the field of medicine which is advocated in this digital revolution. The increasing trend in dentistry digitalization has led to the advancement in computer-derived data processing and manufacturing. This progress has been exponentially supported by the Internet of medical things (IoMT), big data and analytical algorithm, internet and communication technologies (ICT) including digital social media, augmented and virtual reality (AR and VR), and artificial intelligence (AI). The interplay between these sophisticated digital aspects has dramatically changed the healthcare

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Klumpp, Matthias, Marcus Hintze, Milla Immonen, et al. "Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals." Healthcare 9, no. 8 (2021): 961. http://dx.doi.org/10.3390/healthcare9080961.

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The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital

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Vallabhaneni, Nagalakshmi, and Dr P. Prabhavathy. "Analysis of the Impact of Yoga on Health Care Applications and Human Pose Recognition." ECS Transactions 107, no. 1 (2022): 7889–98. http://dx.doi.org/10.1149/10701.7889ecst.

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Human Pose Recognition is a powerful computer vision strategy that has revealed several problems. Separating human exercise is beneficial in various fields, including health observation, biometrics, and a wide range of medical care applications. These days, yoga poses are famous for practice because they can improve muscular quality and increase breathing exercises. However, because evaluating yoga stances is complicated, experts will be unable to profit from the activities in the long run. For people who want to practice yoga at home, IoT-based yoga systems are required. Several studies have

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Scott, John, Peter Yellowlees, Daniel F. Becker, and Christopher Chen. "Virtual Care and Mental Health: Dismantling Silos to Strengthen Care Delivery." Telemedicine Reports 4, no. 1 (2023): 174–79. http://dx.doi.org/10.1089/tmr.2023.0016.

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Belahsen, Rekia, Hamid Chamlal, and Mohammed Sahmad. "Remote health care of gestational diabetes in the era of the COVID-19 pandemic: A web monitoring application." International Journal of Scientific Research and Management 10, no. 06 (2022): 881–85. http://dx.doi.org/10.18535/ijsrm/v10i6.ec02.

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The advent of the Covid-19 pandemic has led states around the world to impose several preventive measures in order to limit the spread of the infection, particularly among vulnerable people, including pregnant women. Indeed, a limitation of access to prenatal care has been observed at the level of recognized health structures, such as health centers; birthing homes; hospitals, general medicine or obstetrics gynecology practices. These systematic effects on the continuity of prenatal care as well as on the follow-up of gestational diabetes can lead to serious consequences for the mother/newborn

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Cruz, Cristian, and Miguel Lombardo. "Proposal of a Context-sensitive ECG Collection Mobile Health System for Ambulatory Cardiovascular Diseases." Acta Informatica Medica 31, no. 1 (2023): 26. http://dx.doi.org/10.5455/aim.2023.31.26-30.

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Background: This study brings innovation oriented to the development of e-health services to improve the performance of healthcare and hospital care in free-living activities. Objective: This article seeks to propose an innovative mobile software that enables the contextualization of clinical data, while integrating the fundamental functionalities and usability criteria of a mobile health (mhealth) system. Methods: We examine the utility of a context-sensitive mobile electrocardiogram (ECG) collection system for the detection of cardiovascular diseases for patients in free-living conditions. R

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A. Shah, Radhika, Kalpana G. Patel, and Purvi Shah. "Comparative overview of enhancing Drug pricing transparency in India and USA." International Journal of Drug Regulatory Affairs 10, no. 1 (2022): 35–39. http://dx.doi.org/10.22270/ijdra.v10i1.508.

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The United States and other different countries, drug prices are out of control. In that the prescription drug prices increasingly the medical costs and other different healthcare costs. The branded drugs are launched with high prices that increase by double percentage over year. So, many states and countries are focusing on new ways or new approaches to drug pricing problems using different ways and clarity about drug price transparency are mainly that the study about drug transparency and identify the cost key drivers. India is one of the world's developing countries. The ability to obtain h

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Wray, Charlie, Janet Tang, Amy Byers, and Salomeh Keyhani. "Digital Health Skillsets and Digital Preparedness: Comparison of Veterans Health Administration Users and Other Veterans Nationally." JMIR Formative Research 6, no. 1 (2022): e32764. http://dx.doi.org/10.2196/32764.

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Background As health care systems shift to greater use of telemedicine and digital tools, an individual’s digital health literacy has become an important skillset. The Veterans Health Administration (VA) has invested resources in providing digital health care; however, to date, no study has compared the digital health skills and preparedness of veterans receiving care in the VA to veterans receiving care outside the VA. Objective The goal of the research was to describe digital health skills and preparedness among veterans who receive care within and outside the VA health care system and exami

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Kannry, Joseph, Jeff Smith, Vishnu Mohan, Bruce Levy, John Finnell, and Christoph U. Lehmann. "Policy Statement on Clinical Informatics Fellowships and the Future of Informatics-Driven Medicine." Applied Clinical Informatics 11, no. 05 (2020): 710–13. http://dx.doi.org/10.1055/s-0040-1717117.

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AbstractBoard certified clinical informaticians provide expertise in leveraging health IT (HIT) and health data for patient care and quality improvement. Clinical Informatics experts possess the requisite skills and competencies to make systems-level improvements in care delivery using HIT, workflow and data analytics, knowledge acquisition, clinical decision support, data visualization, and related informatics tools. However, these physicians lack structured and sustained funding because they have no billing codes. The sustainability and growth of this new and promising medical subspecialty i

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Martens, Frank, and Frank Bertschat. "A BASIC program for calculation of often needed parameters in intensive care medicine." Computers in Biology and Medicine 17, no. 5 (1987): 341–49. http://dx.doi.org/10.1016/0010-4825(87)90023-0.

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Manuel, Vladimir G., Eran Halperin, Jeffrey Chiang, et al. "4375 Developing team science for practical applications of artificial intelligence in health systems to improve value and outcomes: A case study in reducing avoidable emergency department use." Journal of Clinical and Translational Science 4, s1 (2020): 117. http://dx.doi.org/10.1017/cts.2020.355.

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OBJECTIVES/GOALS: Health care systems are complex, dynamic, and varied. Advances in artificial intelligence (AI) are enabling healthcare systems to use their own data to elicit patterns and design suitable interventions. To realize this potential, computer scientists and clinicians need an effective, practical, and replicable approach to collaboration METHODS/STUDY POPULATION: In this study, computer scientists partnered with clinicians to investigate predictors of avoidable emergency department use. The team sought an approach to computational medicine that could increase the relevance and im

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Bayraktar, Mustafa, and Muhammet Mutlu. "Insufficient Knowledge About Primary Health Care Services: Is It the Reason for Not Applying to Family Medicine?" Cerrahpasa Medical Journal 46, no. 2 (2022): 91–96. http://dx.doi.org/10.5152/cjm.2022.22008.

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