Decision Support

National Taiwan University Hospital has incorporated speech-to-text AI in its telehealth platform.

As the artificial intelligence policies developed under the Biden Administration come into focus and a new inauguration approaches, one healthcare AI leader says he's optimistic about the future of public-private partnerships in the space.  

Healthcare providers and IT vendors in the region have weighed in with their predictions for healthcare technology in the new year.

In an increasingly competitive healthcare landscape, a strong digital presence and a superior care experience can be decisive factors in attracting and retaining patients, says one health IT consultant.

For seven years, the cardiac surgical team has leveraged computational fluid dynamics software to provide consistent preoperative planning for pediatric congenital heart disease patients and improve outcomes. Sharing workflows is reaching more patients.

Syapse consolidates and processes real-world patient data from numerous large health systems around the world providing oncology care. Insights derived from this data help those health systems improve their quality of care, strengthen the efficiency of clinical trials and add to the body of clinical knowledge that supports oncology care decisions.

Predictive analytics in EHRs aren't yet effective enough for clinical decision support at the point of care.

While understanding and reconciling drugs after discharge from the hospital can be challenging, it's a necessity for greater efficacy of care delivery. HL7's Da Vinci project can help.

AHRQ is helping the transition towards evidence-based recommendations to guide clinical decision-making that incorporates patients' needs and preferences. 

While RPA has proved its success for some administrative functions, other technologies are emerging as options to help address the worker shortage and reduce workload in clinical and operational areas.