What Clinical Decision Support Systems (CDSS) look like, how they work, what constraints they have and what contribution they can make to improving doctors’ decision-making: all you need to know.
pharmacological risk
The UK drug agency will use IA to detect the adverse effects of vaccines for Covid-19
The Medicines and Healthcare Regulatory Authority (MHRA) held a tender to entrust the development of a system based on artificial intelligence.
How to manage the pharmacological risk in the elderly
Adverse drug reactions (ADR) are common in the elderly and manifest themselves with falls, orthostatic hypotension, delirium, renal failure, gastrointestinal and intracranial bleeding. In the latest issue of the journal Pro Terza Età di ANASTE an article of mine has been published that illustrates how to manage this serious risk.
How to develop a “medicine by- design” information system
In the design of an information system “medicine by-design” it is necessary to widen the focus on the data by associating new dimensions.
Digital therapeutics may not cause toxicity, but they’re not entirely without risk
The topic was discussed at the DTx East conference in Boston where the risk assessment of digital therapies, how these risks differ from traditional drugs and how these differences could affect regulation were discussed. Continue reading
The importance of Medication Decision Support System in reconciling therapy
Medication review, especially in patients who take a large number of drugs, can be very complex, like a Rubik’s cube with many elements. Medication Decision Support Systems can help clinicians solve the 3D puzzle of complex therapies.
Why it is worthwhile to invest in CDSS: the pharmacological risk
Adverse drug reactions (ADRs) are a serious public health issue, being a major cause of morbidity and mortality. Clinical Decision Support Systems (CDSS) can reduce this phenomenon and the associated costs. Continue reading
Digital-health 