
PROMISE: Perioperative Risk Optimization with Machine Learning for an Improved Surgical Experience
Optimization of perioperative care through machine learning.
With its mission in mind, DIHI strives to implement each of its innovations to positively impact clinical care in the real world. DIHI has designed, led, and measured impact for numerous innovation implementations. Moreover, DIHI applies its evolving methodologies into the design and implementation of each new innovation, thereby increasing the speed to deliver value and expanding the potential for achievable transformative innovation.

Optimization of perioperative care through machine learning.

Creation of a “single source of truth” for device information in Cardiology.

The Problem As health systems grow larger and demand for specialty care increases, it is becoming increasingly important to embrace efforts to reduce care fragmentation

A randomized control trial to determine whether a distress coach mobile app usage influences symptoms of posttraumatic stress disorder and distress in cancer patients.

Development of a three-pronged program to decrease HIV transmission and increase awareness in the Duke and Durham community, including the creation of a dedicated Duke PrEP clinic at Duke Medical center, educational promotion, and community outreach.

Implementation of a Maestro-integrated pillbox amongst Duke patients with diabetes mellitus (DM) and blood pressure (BP) above goal to improve medication adherence and control of hypertension.

Implementing a mobile complex care plan for provider and patient’s guardians to coordinate care approaches.

Development and implementation of a personalized music program that targets patients who are at high-risk for developing delirium and seen in the Perioperative Optimization for Senior Health (POSH) clinic at Duke.

Development of a highly individualized dedicated onsite care program at the Duke Outpatient Clinic.