Eebu Health

Eebu Health is a healthcare software LLC based in Ann Arbor, MI that has spun-off from Michigan Medicine. One co-founder is a professors at Michigan Medicine and the other in the School of Engineering. The team is rounded out by two software start-up veterans filling the roles of CEO and CTO.

Mission/Vision

Improve patient outcomes and drive hospital revenue by increasing patient adherence to the care plan.

Type of Organization

Startup - Newly established businesses, investable

Size of Organization

0-10

Organization Mailing Address

2370 E Stadium Blvd Ste 830
Ann Arbor, MI 48104
United States

http://www.eebu.health

Eebu Tracking and Patient Engagement

Eebu's software ensures patients comply with prescribed follow-up care. Between missed appointments, readmissions, and legal liability, patient follow-up is over a $150B problem. Eebu leverages automated tracking for healthcare providers to make sure nobody can be forgotten along with patient engagement to encourage patients to comply. Instead of appointment reminders, Eebu automatically reminds patients of appointments they need and educates them on why the follow-up is important.

Hospital IT systems store heaps of data, but they often don't easily serve up the information needed for you to act. Eebu integrates with multiple hospital systems to convert that data into information that can be used for both tracking follow-up and for patient engagement.

Today healthcare providers can manually create a reminder in the EHR to follow-up with a patient on a given date, and other systems will send patients reminders of appointments they have scheduled. Eebu goes beyond that. Eebu automatically recognizes that a patient needs a follow-up appointment and alerts the healthcare provider if one is not scheduled on time. In addition, Eebu automatically alerts the patient if an expected appointment is not scheduled. And, if time passes and the appointment is still not scheduled, Eebu can send bolder alerts, including educational videos explaining the risks of not following-up. Eebu can also help the patient schedule the appointment.

Eebu leverages "care pathways" along with natural language processing to read data from the hospital's systems (e.g. inventory, financial, and scheduling) to understand where a patient is in the care plan, recognize what comes next, and identify when a patient is diverging from the plan. That information is then applied to two integrated solutions: tracking and patient engagement. Tracking is a light-weight tool that shows healthcare providers a quick view into who is off plan. The patient engagement solution reminds the patient to stay on plan, educates the patient as to why that plan is important, and facilitates communication and scheduling with the healthcare provider.

Eebu's secure messaging system for the patient does not require an app download, and the system keeps an organized record of your attempts to contact patients for legal protection. The system is HIPPA compliant.

Category of Innovation

Digital Health - A digital health solution is a technology-based solution whose user is caring for or providing care for themselves (think of a personal app) or another individual (such as a doctor using a tool to help their patient)

Intended End User

Patient - Individuals who receive health care

Provider - Individuals or organizations responsible for providing care to patients (e.g. doctors, nurses, hospital/clinic administrators, etc.)

Impactful Innovation Stage (Click Here for Details)

Impact

Problem (i.e. barrier, issue, complication, etc.) being solved for the end user

Patients frequently don't follow-up as prescribed by their doctors. This can lead to lost revenue for hospitals for the required care and poorer outcomes for patients. Additional costs of care can occur due to hospital readmissions when patients experience preventable complications. In addition, patients often leave temporary medical devices and implants in their bodies too long, as is the case with about 12% of ureteral stents and over 70% of inferior vena cava (IVC) filters. This can result in higher costs of care, poorer outcomes, and legal liability for the doctor. Simply the fear that patients will have poor compliance can lead to doctors selecting more aggressive treatments as is the case when doctors decide that low risk prostate cancer patients cannot be trusted to follow their active surveillance.

Level of adoption (i.e. list of customers/users, testimonials, etc.), if applicable

Our solution is at:
- Michigan Medicine Interventional Radiology
- Michigan Medicine Endourology
- University of Alabama Medicine Endourology

"Eebu [is] more reliable than manual schedule review. IVC filters were placed at the time of procedures scheduled as IR Inferior Vena Cava Venograms, IR Angiogram Pulmonary, IR Bronchial Artery embolization, IR Angiogram Lower Extremity. These filter placements would have been overlooked by manual review of procedures scheduled without a review of procedure note."

"Eebu [is] more reliable than manual schedule review for bedside placements. There were four bedside filter placements. None were scheduled. All would have been lost to follow up."

Impact (i.e. measurable outcomes), if applicable

1. Tracking patients automatically that require follow-up.
2. Categorizing patients based on natural language processing of the operative notes.
3. Discovering patients with implants that were not found by nursing staff.

Funding Stage

Grant funded

Seed

List of Funding Sources (if applicable)

(1) modest bootstrapping
(2) some of the IP was generated under grants to Michigan Medicine from MTRAC Fast Forward Medical Innovation

Certifications?