[HTML][HTML] A large language model for electronic health records
There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
[HTML][HTML] Digital transformation of healthcare sector. What is impeding adoption and continued usage of technology-driven innovations by end-users?
The digital transformation of businesses is no longer debatable, and the effects are visible in
all sectors. What is arguable, however, is why the transformation has not been seamless …
all sectors. What is arguable, however, is why the transformation has not been seamless …
[HTML][HTML] Resistance of multiple stakeholders to e-health innovations: Integration of fundamental insights and guiding research paths
Consumer/user resistance is considered a key factor responsible for the failure of digital
innovations. Yet, existing scholarship has not given it due attention while examining user …
innovations. Yet, existing scholarship has not given it due attention while examining user …
Gatortron: A large clinical language model to unlock patient information from unstructured electronic health records
There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
[HTML][HTML] Interaction time with electronic health records: a systematic review
Y Pinevich, KJ Clark, AM Harrison… - Applied clinical …, 2021 - thieme-connect.com
Background The amount of time that health care clinicians (physicians and nurses) spend
interacting with the electronic health record is not well understood. Objective This study …
interacting with the electronic health record is not well understood. Objective This study …
[HTML][HTML] What makes administrative data “research-ready”? A systematic review and thematic analysis of published literature
Objective To define the characteristics of research-ready administrative data based on a
systematic review and synthesis of existing literature. Methods On 29 th June 2021, we …
systematic review and synthesis of existing literature. Methods On 29 th June 2021, we …
[HTML][HTML] Unlocking the potential of electronic health records for health research
Electronic health records (EHRs), originally designed to facilitate health care delivery, are
becoming a valuable data source for health research. EHR systems have two components …
becoming a valuable data source for health research. EHR systems have two components …
Laboratory information system requirements to manage the COVID-19 pandemic: A report from the Belgian national reference testing center
M Weemaes, S Martens, L Cuypers… - Journal of the …, 2020 - academic.oup.com
Objective The study sought to describe the development, implementation, and requirements
of laboratory information system (LIS) functionality to manage test ordering, registration …
of laboratory information system (LIS) functionality to manage test ordering, registration …
Gamedx: Generative ai-based medical entity data extractor using large language models
In the rapidly evolving field of healthcare and beyond, the integration of generative AI in
Electronic Health Records (EHRs) represents a pivotal advancement, addressing a critical …
Electronic Health Records (EHRs) represents a pivotal advancement, addressing a critical …
[HTML][HTML] Correctly structured problem lists lead to better and faster clinical decision-making in electronic health records compared to non-curated problem lists: A single …
ES Klappe, J Heijmans, K Groen, J Ter Schure… - International Journal of …, 2023 - Elsevier
Background Correctly structured problem lists in electronic health records (EHRs) offer
major benefits to patient care. Without structured lists, diagnosis information is often …
major benefits to patient care. Without structured lists, diagnosis information is often …