Caredinate

Inspiration

Coordinated care through a care team, with the patient at the center, is now mandatory in managing the treatment of chronic diseases. In environments where communication is poor and staffing is low, shared care plans managed through a robust IT application definitely improves patient outcomes in the long run. Voice recognition and voice-enabled apps that serve the patient (i.e. glucose monitoring, lifestyle management) are prevalent. Caredinate seeks to establish a balance by bringing the benefits of voice recognition to the clinician care team.

What it does

Caredinate will base its Shared Health Record from the prescribed organized forms by the American Diabetes Association: the Diabetes Care Guidelines Flow Sheet (for clinicians) and the Diabetes Health Record (for patients). Clinicians will be able to use voice recognition to retrieve or update information in the system. For example, during the encounter, the clinician can ask the system, "What are the latest A1C result for patient Maria Gomez?". The system will recognize the query and provide the test results in audio during the encounter. Another use case is for data entry. For example, during the encounter, the clinician can dictate notes and recommendations similar to, "Recommend a retest of Lipid Profile Test."

How I built it

Caredinate is currently an idea and currently undergoing prototyping.

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Caredinate

Validation of the idea through diabetes clinicians and care workers. Technology selection of an appropriate voice-recognition technology (i.e. Google Speech API or Amazon Alexa, or Nuance).

Built With

• amazon-alexa
• google-speech-api
• java
• spring