OmniLife Health has achieved national notoriety for our work by winning the Small Business Innovative Research Grant (SBIR) Phase I and II awards, totaling nearly $2M.
The OmniLife research team is led by health informatics expert and CTO, Eric Pahl, and the veteran cardiothoracic transplant surgeon and principal investigator, Dr. Bob Emery. They are joined by a prestigious group of innovative MDs and PhDs from leading clinical institutions across the continent.
- UPMC, Dr. George Mazariegos
- Mt. Sinai, Dr. John Bucuvalas
- UCSF, Dr. Emily Perito
- NYPresbyterian, Dr. Steven Lobritto
- TorontoSickKids, Dr. Vicky Ng
- UVA, Dr. Sarah Rasmussen
- Emory, Dr. Rene Romeru
- UPMC, Dr. James Squires
- UMN, Dr. Bill Payne
- Metrolina, Dr. Ben Hippen
- Carolina’s Medical Center, Dr. Karl Welke
- UCSF, Dr. Chris Freise
- St. Jude Medical, Dr. Manny Villafana
- Iowa, Dr. Dave Axelrod
- Iowa, Dr. Alan Reed
- Intermountain, Dr. Diane Alonso
- Donor Network West, Sean Van Slyck
- Iowa Donor Network, Suzanne Conrad
In September 2019, OmniLife received notice of award for a $1.5M, 2-year study to expand the work accomplished in Phase I by including clinical decision support. The study was IRB approved and supported by clinical experts throughout North America.
- 2R44LM012575-02, “Artificial intelligence-enabled, real-time communication software for optimizing clinical decision making during the allocation, procurement, and transplantation of donated organs”
The three aims of the awarded study are:
- Aim 1: Develop machine learning models that predict transplant outcomes at the time of organ offer
- Aim 2: Validate the statistical significance and clinical relevance of these models with a clinical committee
- Aim 3: Implement the models into TXP Chat™ and deliver the predictions at the time of organ offer, randomized controlled trial.
The three aims of the modified study are:
- Aim 1: Develop a clinical decision support (CDS) engine, interface with TXP Chat™, and connect to OmniLife data lake.
- Aim 2: Deploy previously validated algorithms to CDS as predictive models for incoming organ offers.
- Aim 3: Implement the CDS and TXP Chat™ to the point of care, randomized control trial.
In the Summer of 2017, OmniLife was awarded a Phase I SBIR from the NIH. The resulting pilot study explored the use of a mobile app, TXP Chat™, with organ procurement and transplant professionals in Iowa. After one full year of utility, the teams made substantial improvements in many operational and clinical areas: fewer hours from initial offer to transplant (50%), increased transplantation rate (35%), increased relational coordination, improved clinical productivity, and reduction in redundant phone calls.
- 1R43LM012575-01, “The use of mobile software for secure team-based clinician-to-clinician communication to improve recipient outcomes for solid-organ donation cases”
- ABSTRACT of paper recommended for publication at Progress in Transplantation Dec 2, 2019
- Background: Donor organ recovery is a complex process involving organ procurement organizations and multiple surgical teams from various transplant centers. Nearly 30% of discarded organs are wasted due to reasons related to improper coordination and communication.
- Problem statement: Lack of real-time communication results in many hours of preventable delay between procurement and transplant teams resulting in the high volume of organ waste, clinical frustration, and critical delays.
- Methods: A Plan-Do-Study-Act performance improvement methodology was utilized to design and implement a dedicated mobile communication application (app). Critical time points in the organ offer, procurement, and transplant processes were analyzed from the report of organ offers and relation coordination metrics were measured.
- Processes addressed: Members of procurement and transplant teams in Iowa were interviewed and a dedicated smartphone application was implemented to replace phone calls, emails, faxes, and text messages during upcoming kidney offers from 7/31/17 – 7/31/18.
- Outcomes: Teams reported a substantial increase in clinical productivity and case progress awareness, including a noteworthy reduction in phone calls. The relational coordination data indicated substantially higher relationship and communication quality with the app. The report of organ offer data revealed a 35% increase in organs transplanted and a 50% reduction in time from initial organ offer to transplant during the use of the mobile application.
- Implications for practice: The use of a dedicated communication application reduces clinical frustration and delays during the coordination of organ offer, procurement, and transplant. Technologies that improve communication have the potential to improve organ utilization.