Dr Anwar further elaborates on how the data generated by the AKI algorithm will help SEHA tailor its renal services.

“Those patients who developed AKI will be at risk of developing chronic kidney disease and they will need surveillance in renal clinics. In addition, due to the nature of the patients’ case mix they look after, those clinical areas that have higher incidence of AKI will require more resource allocation.” Hence data analytics is increasingly shaping how healthcare service is evolving.

What’s next?

Intelligent algorithms being developed have the potential to transform both diagnosis and treatment, says Dr Khan. “On the diagnostic side, there are algorithms that are analysing radiological images and diagnosing cancers far quicker and more accurately than a human counterpart can do. I see significant investment going into image diagnostic-related AI and machine learning.”

With Covid-19, telemedicine has finally gone mainstream. As more patients with chronic conditions are being managed remotely at home, extensive data from connected devices such as glucometers will feed into EMRs, which can predict an event before it occurs, adds Dr Khan.