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JOURNAL ARTICLE
Esmaeel Toni, Haleh Ayatollahi
BACKGROUND: The use of telemedicine technology has significantly increased in recent years, particularly during the Covid-19 pandemic. This study aimed to investigate the use of telemedicine technology for cancer patients during the Covid-19 pandemic. METHODS: This was a scoping review conducted in 2023. Various databases including PubMed, Web of Science, Scopus, Cochrane Library, Ovid, IEEE Xplore, ProQuest, Embase, and Google Scholar search engine were searched...
April 19, 2024: BMC Medical Informatics and Decision Making
#2
JOURNAL ARTICLE
Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
OBJECTIVE: The objective of this study is to systematically examine the efficacy of both proprietary (GPT-3.5, GPT-4) and open-source large language models (LLMs) (LLAMA 7B, 13B, 70B) in the context of matching patients to clinical trials in healthcare. MATERIALS AND METHODS: The study employs a multifaceted evaluation framework, incorporating extensive automated and human-centric assessments along with a detailed error analysis for each model, and assesses LLMs' capabilities in analyzing patient eligibility against clinical trial's inclusion and exclusion criteria...
April 19, 2024: Journal of the American Medical Informatics Association: JAMIA
#3
JOURNAL ARTICLE
Sven Zenker, Daniel Strech, Roland Jahns, Gabriele Müller, Fabian Prasser, Christoph Schickhardt, Georg Schmidt, Sebastian C Semler, Eva Winkler, Johannes Drepper
BACKGROUND: The digitalization in the healthcare sector promises a secondary use of patient data in the sense of a learning healthcare system. For this, the Medical Informatics Initiative's (MII) Consent Working Group has created an ethical and legal basis with standardized consent documents. This paper describes the systematically monitored introduction of these documents at the MII sites. METHODS: The monitoring of the introduction included regular online surveys, an in-depth analysis of the introduction processes at selected sites, and an assessment of the documents in use...
April 19, 2024: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
#4
REVIEW
Renata A Coudry, Emilio A C P Assis, Fernando Pereira Frassetto, Angela Marie Jansen, Leonard Medeiros da Silva, Rafael Parra-Medina, Mauro Saieg
The most widely accepted and used type of digital pathology (DP) is whole-slide imaging (WSI). The USFDA granted two WSI system approvals for primary diagnosis, the first in 2017. In Latin America, DP has the potential to reshape healthcare by enhancing diagnostic capabilities through artificial intelligence (AI) and standardizing pathology reports. Yet, we must tackle regulatory hurdles, training, resource availability, and unique challenges to the region. Collectively addressing these hurdles can enable the region to harness DP's advantages-enhancing disease diagnosis, medical research, and healthcare accessibility for its population...
December 2024: Journal of Pathology Informatics
#5
JOURNAL ARTICLE
Matthijs Berkhout, Koen Smit, Johan Versendaal
BACKGROUND: Decision-making in healthcare is increasingly complex; notably in hospital environments where the information density is high, e.g., emergency departments, oncology departments, and psychiatry departments. This study aims to discover decisions from logged data to improve the decision-making process. METHODS: The Design Science Research Methodology (DSRM) was chosen to design an artifact (algorithm) for the discovery and visualization of decisions. The DSRM's different activities are explained, from the definition of the problem to the evaluation of the artifact...
April 18, 2024: BMC Medical Informatics and Decision Making
#6
JOURNAL ARTICLE
Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou, Lei Chen
BACKGROUND: The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge among healthcare providers within this context. Consequently, it is imperative to enhance the availability of informatics resources and the development of decision support tools to address this issue comprehensively. MATERIALS AND METHODS: The development of the Women with Epilepsy of Child-Bearing Age Ontology (WWECA) adhered to established ontology construction principles...
April 18, 2024: BMC Medical Informatics and Decision Making
#7
EDITORIAL
Jolie Jean, Katerina Dodelzon
Dr. Geraldine McGinty is no stranger to both political accolades and medical honors. As an internationally recognized expert in health economics and an advocate for patient centered care, Dr. McGinty has gained global impact as an influential decision maker and leading figure in radiology and imaging informatics. In May 2018, McGinty became the first woman chair of the American College of Radiology(ACR), and in 2020 became the 97th ACR President.1 During her tenure, she spearheaded numerous initiatives from data science to health equity...
April 6, 2024: Clinical Imaging
#8
JOURNAL ARTICLE
Hyeoneui Kim, Hyewon Park, Sunghoon Kang, Jinsol Kim, Jeongha Kim, Jinsun Jung, Ricky Taira
OBJECTIVE: This study aims to facilitate the creation of quality standardized nursing statements in South Korea's hospitals using algorithmic generation based on the International Classifications of Nursing Practice (ICNP) and evaluation through Large Language Models. MATERIALS AND METHODS: We algorithmically generated 15 972 statements related to acute respiratory care using 117 concepts and concept composition models of ICNP. Human reviewers, Generative Pre-trained Transformers 4...
April 17, 2024: Journal of the American Medical Informatics Association: JAMIA
#9
JOURNAL ARTICLE
Bengie L Ortiz
BACKGROUND: Wearable sensors are increasingly being explored in healthcare, including in cancer care, for their potential in continuously monitoring patients. Despite their growing adoption, significant challenges remain in the quality and consistency of data collected from wearable sensors. In particular, preprocessing pipelines to clean and standardize raw data have not been fully optimized. OBJECTIVE: The aim of this study was to conduct a systematic review of preprocessing techniques employed on wearable sensor data to ensure their readiness for artificial intelligence/machine learning ("AI/ML-ready") applications...
April 16, 2024: JMIR MHealth and UHealth
#10
JOURNAL ARTICLE
Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A Magalhães, Nuno A Silva, Mário J Silva, Francisca Leite
This study presents a workflow for identifying and characterizing patients with Heart Failure (HF) and multimorbidity utilizing data from Electronic Health Records. Multimorbidity, the co-occurrence of two or more chronic conditions, poses a significant challenge on healthcare systems. Nonetheless, understanding of patients with multimorbidity, including the most common disease interactions, risk factors, and treatment responses, remains limited, particularly for complex and heterogeneous conditions like HF...
April 15, 2024: BMC Medical Informatics and Decision Making
#11
JOURNAL ARTICLE
Meghan R Hutch, Jiyeon Son, Trang T Le, Chuan Hong, Xuan Wang, Zahra Shakeri Hossein Abad, Michele Morris, Alba Gutiérrez-Sacristán, Jeffrey G Klann, Anastasia Spiridou, Ashley Batugo, Riccardo Bellazzi, Vincent Benoit, Clara-Lea Bonzel, William A Bryant, Lorenzo Chiudinelli, Kelly Cho, Priyam Das, Tomás González González, David A Hanauer, Darren W Henderson, Yuk-Lam Ho, Ne Hooi Will Loh, Adeline Makoudjou, Simran Makwana, Alberto Malovini, Bertrand Moal, Danielle L Mowery, Antoine Neuraz, Malarkodi Jebathilagam Samayamuthu, Fernando J Sanz Vidorreta, Emily R Schriver, Petra Schubert, Jeffery Talbert, Amelia L M Tan, Byorn W L Tan, Bryce W Q Tan, Valentina Tibollo, Patric Tippman, Guillaume Verdy, William Yuan, Paul Avillach, Nils Gehlenborg, Gilbert S Omenn, Shyam Visweswaran, Tianxi Cai, Yuan Luo, Zongqi Xia
Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Using a federated multinational network in which local clinicians and informatics experts curated the electronic health records data, we evaluated the risk of prolonged hospitalization and mortality in hospitalized COVID-19 patients from 21 healthcare systems across 7 countries...
April 2024: PLOS Digit Health
#12
JOURNAL ARTICLE
KangHyun Kim, Sung-Min Kim, YoungMin Park, EunSol Lee, SungJae Jung, Jeongyong Kang, DongUk An, Kyungil Min, Sung Ryul Shim, Hyeong Won Yu, Hyun Wook Han
OBJECTIVES: This study aimed to develop healthcare data marketplace using blockchain-based B2C model that ensures the transaction of healthcare data among individuals, companies, and marketplaces. MATERIALS AND METHODS: We designed an architecture for the healthcare data marketplace using blockchain. A healthcare data marketplace was developed using Panacea, MySQL 8.0, JavaScript library, and Node.js. We evaluated the performance of the data marketplace system in 3 scenarios...
July 2024: JAMIA Open
#13
REVIEW
Rui Zhang, Yingying Ge, Lu Xia, Yun Cheng
BACKGROUNDS: With the advent of the big data era, hospital information systems and mobile care systems, among others, generate massive amounts of medical data. Data mining, as a powerful information processing technology, can discover non-obvious information by processing large-scale data and analyzing them in multiple dimensions. How to find the effective information hidden in the database and apply it to nursing clinical practice has received more and more attention from nursing researchers...
2024: Journal of Multidisciplinary Healthcare
#14
REVIEW
Samer H Sharkiya, Anat M Hag
INTRODUCTION: E-health services offer potential benefits for healthcare delivery, especially for older adults, yet their adoption remains suboptimal due to various barriers. Understanding the environmental and contextual factors influencing e-health use among this demographic is crucial for enhancing their health outcomes. AIM: This rapid review aims to explore the various environmental and contextual factors affecting the use of e-health among older adults, focusing on identifying strategies to enhance acceptance and usefulness...
April 12, 2024: International Journal of Medical Informatics
#15
JOURNAL ARTICLE
Ibrahim Mubarak Al Baalharith, Ahmad Eissa Aboshaiqah
BACKGROUND: Virtual care adoption accelerated during the COVID-19 pandemic, highlighting the need for healthcare professionals to develop relevant competencies. However, limited evidence exists on the core competencies required for quality virtual care delivery. OBJECTIVE: This study aimed to identify the critical competencies physicians, nurses, and other health professionals need for adequate virtual care provision in Saudi Arabia using a Delphi method. METHODS: A 3-round Delphi technique was applied with a panel of 42 experts, including policymakers, healthcare professionals, academicians, and telehealth specialists...
March 29, 2024: Healthcare (Basel, Switzerland)
#16
JOURNAL ARTICLE
Laura Maaß, Hajo Zeeb, Heinz Rothgang
Unlocking the full potential of digital public health (DiPH) systems requires a comprehensive tool to assess their maturity. While the World Health Organization and the International Telecommunication Union released a toolkit in 2012 covering various aspects of digitalizing national healthcare systems, a holistic maturity assessment tool has been lacking ever since. To bridge this gap, we conducted a pioneering Delphi study, to which 54 experts from diverse continents and academic fields actively contributed to at least one of three rounds...
April 12, 2024: NPJ Digital Medicine
#17
JOURNAL ARTICLE
Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L Cole, Qian Yang, Yanshan Wang, Bradley A Malin, Mor Peleg, Byron C Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng
Evidence-based medicine promises to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence. The rapid growth of medical evidence, which can be obtained from various sources, poses a challenge in collecting, appraising, and synthesizing the evidential information. Recent advancements in generative AI, exemplified by large language models, hold promise in facilitating the arduous task. However, developing accountable, fair, and inclusive models remains a complicated undertaking...
April 10, 2024: Journal of Biomedical Informatics
#18
JOURNAL ARTICLE
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
BACKGROUND: The field of Artificial Intelligence (AI) holds transformative potential in medicine. However, the lack of universal reporting guidelines poses challenges in ensuring the validity and reproducibility of published research studies in this field. METHODS: Based on a systematic review of academic publications and reporting standards demanded by both international consortia and regulatory stakeholders as well as leading journals in the fields of medicine and medical informatics, 26 reporting guidelines published between 2009 and 2023 were included in this analysis...
April 11, 2024: Commun Med (Lond)
#19
JOURNAL ARTICLE
Genna Cohen, Nancy Duda, Katie Morrison-Lee, Kaylyn Swankoski, Gillian Giudice, Maya Palakal, Caroline Mack, Ann S O'Malley
BACKGROUND: A growing literature documents how primary care practices adapted to the COVID-19 pandemic. We examine a topic that has received less attention-how participants in an advanced alternative payment model perceive the model influenced their ability to meet patients' care needs during the pandemic. METHODS: Analysis of closed- and open-ended questions from a 2021 survey of 2496 practices participating in the Comprehensive Primary Care Plus (CPC+) model (92% response rate) and a 2021 survey of 993 randomly selected primary care physicians from these practices (55% response rate)...
April 10, 2024: Healthcare
#20
JOURNAL ARTICLE
Khadijeh Moulaei, Reza Moulaei, Kambiz Bahaadinbeigy
BACKGROUND: As the field of robotics and smart wearables continues to advance rapidly, the evaluation of their usability becomes paramount. Researchers may encounter difficulty in finding a suitable questionnaire for evaluating the usability of robotics and smart wearables. Therefore, the aim of this study is to identify the most commonly utilized questionnaires for assessing the usability of robots and smart wearables. METHODS: A comprehensive search of databases, including PubMed, Web of Science, and Scopus, was conducted for this scoping review...
2024: Digital Health
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