• Digital-Health-Conference-2020

Invited SpeakersProfile Details

Dr. Nasser Aljehani
Dr. Nasser Aljehani Dr. Nasser Aljehani is a Family Medicine Physician and Clinical Informatician at King Fahad Medical City in Riyadh, Saudi Arabia.

Biography

 Dr. Nasser Aljehani is a Family Medicine Physician and Clinical Informatician at King Fahad Medical City in Riyadh, Saudi Arabia.
He graduated from King Saud University Faculty of Medicine in 2008. He then finished a year of fellowship in Quality Improvement and Patient Safety from Baylor College of Medicine in the United States, where he worked with the Senior Vice President of Performance Improvement. He was granted the American Board of Family Medicine after he finished his training at Texas Tech University in the United States, where he also served as Chief Resident. During his year as Chief Resident, he designed and implemented a new on-call system that focused on better and safer care for patients as well as improved the training experience for the residents.
After his residency, he joined The Ohio State University and Nationwide Children’s Hospital in the United States as a fellow where he finished a two-year fellowship in Clinical Informatics. He accomplished multiple modules implementations and quality projects that focused on patient safety and lowering cost. Currently, he is helping in leading the implementation of Epic system, the best ranked Electronic Medical Record in KLAS, in King Fahad Medical City, the largest medical city in the Middle East.
Dr. Aljehani is interested in driving value-based clinical care through leveraging technology and the use of data in medicine.

All sessions by Dr. Nasser Aljehani

  • Day 1Monday, January 20th
Session 2 : Digital Health and Wellness (Chair Prof. Xin Gao)
1:50 pm

Closing the Data Loop in Healthcare Through Automation: Toward Safer, Higher Quality, Faster Services

Every day, data are being generated in healthcare by hospitals. In today’s medicine, the majority of patient’s data are generated inside clinical facilities. Providers then utilize data in order to make conclusions and make decisions for patients.

In future medicine, this data cycle will be closed using automation and taking advantage of all the data that patients generate outside clinical facilities as well. Closing the data loop through automation will help bring faster decisions by eliminating the middlemen in healthcare delivery processes. It also can help us focus on what matters to patients by personalizing healthcare based on the data that patients generate.

Automating clinical decisions based on patient’s data will not only help sick patients but also can be utilized to promote health for healthy people. Closing the data loop through automation comes with its challenges and barriers, which we will discuss in this topic.

Building 19, Hall 1 13:50 - 14:15 Details

3:45 pm

PANEL DISCUSSION - (Moderator - Takashi Gojobori) (Co-Moderator - Fadwa Attiga)

Building 20 15:45 - 16:45 Details