Today in this blog post, we’ll explore the role of Custom Software Development in transforming the healthcare industry. Healthcare is an essential part of...
As the hubs for patient care and medical administration, hospitals often manage vast amounts of paperwork and documentation. The traditional reliance on manual data...
Bioprocessing embraces finding medical solutions within live specimens, but that doesn’t mean technological incorporations like AI are out of the picture. Health experts quickly...
In the intricate web of the healthcare ecosystem, claims processing stands as a critical juncture where the efficiency and accuracy of operations profoundly impact...
Porru S, Pinna A, Marchesi M, Tonelli R. Blockchain-oriented software engineering: challenges and new directions . 2017 . Available from https://www.researchgate.net/publication/313844963 CompTIA. Blockchain...
Susskind RE, Susskind D. The future of the professions: how technology will transform the work of human experts. Oxford University Press; 2015. Mercille...
Healthcare document management systems play a crucial role in the modern healthcare landscape by streamlining and enhancing the management of patient records, administrative documents,...
Machine Learning in Healthcare: The Future Of Healthcare Will Be Around ML
ML In Healthcare: Application, Benefits, and App Development Cost
Machine Learning (ML) is one...
Tidepool announces new EHR integration tailored to accommodating health system-specific workflow requirements
PALO ALTO, Calif.–(BUSINESS WIRE)–#EHR–Tidepool, a software company committed to innovations in diabetes management,...
Adding to Medidata’s already extensive platform, Medidata Clinical Data Studio and Medidata Health Record Connect usher in a new era of data integration and...
Connected medical devices have revolutionized patient care and experience. However, the use of these devices to handle clinical and operational tasks has made them...
Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with...
Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number...
