Search Tag: medical data
2024 01 Aug
Extracting clinical phenotypes from electronic health records (EHRs) is an essential yet challenging task in healthcare informatics. This process involves identifying specific medical information such as disease stages, treatment modalities, and instances of recurrence. Accurate extraction of these phenotypes, particularly in complex conditions...Read more
2024 01 Aug
Extracting clinical phenotypes from electronic health records (EHRs) is an essential yet challenging task in healthcare informatics. This process involves identifying specific medical information such as disease stages, treatment modalities, and instances of recurrence. Accurate extraction of these phenotypes, particularly in complex conditions...Read more
2024 01 Aug
Extracting clinical phenotypes from electronic health records (EHRs) is an essential yet challenging task in healthcare informatics. This process involves identifying specific medical information such as disease stages, treatment modalities, and instances of recurrence. Accurate extraction of these phenotypes, particularly in complex conditions...Read more
2019 05 Sep
Recently, the Alaska Journal of Commerce reported the success of a data exchange platform being used at emergency departments in several Alaskan hospitals. The Collective Medical platform allows for easier health data exchange between hospitals and means that emergency department staff have immediate access to a patient’s medical history. The system...Read more
2019 03 Sep
Increasing need to store and secure medical data, including sensitive patient information, is among key factors behind the expanded application of blockchain technology in healthcare. By 2025, it is estimated that global blockchain technology in healthcare market will be worth more than $1.636 billion. This projection is contained in new research...Read more
2019 10 Apr
Artificial intelligence ( AI ) software that analyses medical images is becoming increasingly prevalent. However, the promise of AI as a tool for promoting and enhancing personalised medicine can only be fulfilled with access to large quantities of medical data from patients. This data could be used for purposes such as predicting disease, diagnosis,...Read more
2018 07 Nov
Patient-driven data business, not data-driven patient business. Data-driven business models make up the medical and healthcare market in large parts, a trend reinforced by further technological developments and regulation. Care must be taken to avoid a situation where only a few players benefit. Who lives outside the GAMFANNAT economy...Read more
2018 23 May
This piece describes the unique opportunities and challenges for artificial intelligence (AI) and digital health technology in India, describes some success stories, and brings up some current trends. With its vast inequalities in healthcare distribution, glaring lack of trained healthcare clinicians and infrastructure, and low government spending...Read more