Data Products and Case Studies
Macannie is fascinated by technology and the opportunity to build tools. The following are some examples of what we create.
Using Data to Support Vulnerable Populations
In an emergency, such as a hurricane, an earthquake, or a public health crisis like Covid-19, vulnerable populations may require specific access to care. Macannie is building a platform that provides location and points of contact for patients suffering from chronic health conditions. The system uses billing codes from Medicaid and the Department of Veterans Affairs to find patients that, for example, are on respirators, or require refrigerated medicine such as insulin for people with Diabetes.
In an emergency or an extended power outage, first-responders could quickly locate these patients by street address and apartment number, and make sure they are safe and taken care of. The system allows for fast searches by zip code or county, using billing code identifiers. The system also allows patients, advocates, or government analysts to identify providers that can help patients. By using billing codes, CMS or VA could provide a list of potential healthcare providers, targeted to specific health conditions, and located near the patient.
AI and Blockchain - "AI with Trust"
Imagine you are a patient or caregiver with a prescription that needs to be filled, or refilled. You make a request to your pharmacy, who says your doctor needs to be contacted. And then nothing happens. You try to contact both your doctor and your pharmacist, and do whatever needs to be done to get your care providers to communicate with each other.
Macannie is building a platform that could resolve this. Our system records actions and transactions using a distributed ledger - blockchain - so that communications from one entity to another are tracked and traceable. The system uses Artificial Intelligence to analyze patterns in use, and makes adjustments that can produce increasingly relevant information.
AI and Telemedicine
Macannie is working with local healthcare facilities to use AI to improve telecommunications with patients. We built a communications platform that can be installed in a phone or tablet for patients with chronic health conditions that are part of a specific study. The protocol for the study requires capability for 24x7 communications between patients and the provider team. The system supports connectivity between patients and providers, and tracks patient activity, including continuously adjusting communication options based on patient patterns.
In a related program, Macannie built a system that sends emails and text messages to patients with chronic conditions as a reminder to take medication. The system monitors the responsiveness of patients, and makes adjustments to communications based on patterns of behavior. If one set of communications results in faster or improved response, the system focuses on the messages and format that seem to work best.