US 12,205,719 B2
Health management system
Dave Hunt, Tulalip, WA (US); Dan Stone, Issaquah, WA (US); Eric Paul, Newberg, OR (US); Dan Preston, Bainbridge Island, WA (US); Rigel Correa, Bainbridge Island, WA (US); Jessica Milanio, Tacoma, WA (US); Lindsey Atkinson, Port Orchard, WA (US); John Gibson, Federal Way, WA (US); Benjamin Cheek, Bremerton, WA (US); John Friar, Bellevue, WA (US); and Lucas Cheek, Bremerton, WA (US)
Assigned to Big Sky Labs, Inc., Everett, WA (US)
Filed by Big Sky Labs, Inc., Everett, WA (US)
Filed on May 3, 2021, as Appl. No. 17/306,594.
Claims priority of provisional application 63/019,935, filed on May 4, 2020.
Claims priority of provisional application 63/091,223, filed on Oct. 13, 2020.
Claims priority of provisional application 63/148,071, filed on Feb. 10, 2021.
Prior Publication US 2021/0343404 A1, Nov. 4, 2021
Int. Cl. G16H 40/67 (2018.01); G16H 20/13 (2018.01); G16H 80/00 (2018.01)
CPC G16H 40/67 (2018.01) [G16H 20/13 (2018.01); G16H 80/00 (2018.01)] 23 Claims
OG exemplary drawing
 
1. An integrated health management system, comprising:
a processor connected to a communications system and a memory wherein the memory stores a database, wherein the database is configured as a distributed database, wherein the distributed database is distributed across at least one of different physical locations, one or more processors located proximate to the processor, and a local network of interconnected processors, the processor coupled to a patient data pipeline, the patient data pipeline performing at least one of a stream processing and a data transformation process;
a provisioning layer coupled to the patient data pipeline, the provisioning layer assisting in system management;
an application server comprising at least one sensor and one application operating in combination for generation of first data;
a first healthcare system database within the patient data pipeline, the first healthcare system database to store the first data;
a second healthcare system database within the patient data pipeline, the second healthcare system database to transform and store the first data as transformed data;
an actions module coupled to the patient data pipeline comprising:
a machine learning module, the machine learning module to receive the transformed data and user intervention data as an input and to output predictions associated with healthcare outcomes;
a tablet delivery apparatus configured to dispense medication based at least in part on the predictions associated with the healthcare outcomes to a user, wherein the delivery apparatus includes:
an input alignment guide to adjust pre-packaged tablets into the delivery apparatus,
a processor modulated differential drive for directional control of the pre-packaged tablets, wherein the differential drive comprises a dual motor drive system with independent actuators;
a sensor for sensing a location and an orientation of the pre-packaged tablet during a delivery wherein the sensed location and orientation of the pre-packaged tablet is used to modulate the differential drive based on at least one of a predetermined configuration within the processor and a dynamic configuration responsive to the sensed location and orientation;
a cutter mechanism and a cutter mechanism control logic wherein the cutter mechanism control logic is configured to:
monitor the sensed pre-packaged tablet location and orientation,
initiate a cutting sequence responsive to at least one of the predetermined configuration within the processor and the dynamic configuration responsive to determining an optimal sensed location and orientation;
generate and log a message into the distributed database responsive to the cutting sequence;
a sensor data collection system, wherein the collected sensor data is responsive to the user and stored in the distributed database; and
a personal emergency reporting system to:
determine a change in healthcare outcomes based at least in part on the predictions associated with the healthcare outcomes; and
responsive to determining the change, generate a user intervention message to at least one of a patient, a caretaker, or a healthcare professional and request new biometric data.