DOH and Malaffi Use AI to Predict Patients’ Future Risk


Embedded in the Malaffi Provider Portal, the Patient Risk Profile will further support more informed and efficient clinical decision-making for better quality healthcare and patient outcomes.

Malaffi, the Health Information Exchange (HIE) platform, a strategic initiative of the Department of Health – Abu Dhabi (DOH), has added a Patient Risk Profile as a new functionality available to all doctors that are authorised to access the platform. The functionality predicts the level of risk for an individual patient to develop certain chronic diseases or suffer an acute event.

The technology behind Malaffi’s risk management solution uses advanced artificial intelligence (AI) technologies and machine learning algorithms, to build predictive risk models based on the available emirate’s population-level demographic and clinical data in Malaffi.

Abu Dhabi continues to cement its position as a leading global destination in the healthcare sector, and an incubator for innovation in life sciences and digital health in the region. The emirate is moving forward towards attracting and developing the latest innovations within these areas to adapt the highest standards of health and safety for communities, and to raise its position as an attractive destination for investors and specialised healthcare professionals.

In the recent past, predictive models have been in use in several industries and in healthcare predictive analytics support better-informed clinical decision-making and to enable the provision of better-quality healthcare and patient outcomes.

The Malaffi Patient Risk Profile displays risk scores for each patient against a list of prevalent chronic conditions such as diabetes, congestive heart failure (CHF), chronic kidney disease (CKD), hypertension; and acute events such as a heart attack, stroke, and others*. Individual risk scores help clinicians make informed decisions and interventions to manage and prevent individuals from developing potential diseases or being admitted to a hospital.

To identify patients at risk, the solution currently utilises clinical data such as diagnoses, chronic conditions and laboratory results. To further improve the accuracy, medication information will be added to the model in future releases. Malaffi connects almost the entire sector in Abu Dhabi, including all hospitals and 2,000 public and private healthcare facilities, and provides access to more than 45,000 authorised users to 900 million patient records for more than seven million patients, according to the highest standards of privacy and information security.

H.E. Dr. Jamal Mohammed Al Kaabi, Undersecretary of the Department of Health – Abu Dhabi, said, “We are committed to developing a healthcare ecosystem that has become among the leading and innovative systems in the world through deploying the latest artificial intelligence digital technologies to improve the quality of healthcare for the residents of Abu Dhabi and the region. Such innovation is pivotal to moving to a preventive-based healthcare approach that will help the transition to value-based care whilst achieving our vision of a healthy Abu Dhabi.”