Machine Learning for Interpreting PFTs: Improving operational efficiency of pulmonary medicine
Automating PFT interpretation
Projects
Automating CMS Quality Measure Curation
Optimize the process and enhance the efficiency of quality measure reporting to removes unnecessary burden from clinical staff.
Automated Patient Care Assignment: Accelerating every-day operational efficiency
Optimize patient placement and individual team member assignment
Patient Initiated Note about Goals (PING)
Optimize, implement, and evaluate the PING (Patient Initiated Note about Goals).
Prescriptions for Repair: Address Gun Violence
The Prescriptions for Repair project will help us to understand and learn from the experiences of gun violence victims.
eProvider within the EHR
Developing a eProvider to act as a digital liaison for clinical care.
Predict Behavioral Emergencies in the Hospital
Identifying patients at risk of having behavioral emergencies can help to optimize care delivery.
Enhanced Decision Support for Periop Care
Challenges related to hospital access, staffing constraints, and patient-related factors require a refined risk prediction model to enable risk-mitigation strategies earlier in the process.
GO-POP
Putting a postoperative opioid-use predictive nomogram into clinical practice for those undergoing gynecological surgery.