US 11,705,227 B2
Internet of things communication and social network for medicine disposition in hospitals
Baiju Dhirajlal Mandalia, Boca Raton, FL (US); Harish Rajagopal, Holsworthy (AU); Pravin Bernard Phadte, Bangalore (IN); Joseph Dawson Davis, III, Roanoke, TX (US); Joseph David Robinson, Cary, NC (US); and John F. Hollingsworth, Wynnewood, PA (US)
Assigned to Kyndryl, Inc., New York, NY (US)
Filed by KYNDRYL, INC., New York, NY (US)
Filed on Jun. 5, 2020, as Appl. No. 16/894,300.
Prior Publication US 2021/0383901 A1, Dec. 9, 2021
Int. Cl. G16H 10/60 (2018.01); G16H 40/60 (2018.01); H04W 4/80 (2018.01); G06F 1/16 (2006.01); G16H 50/70 (2018.01)
CPC G16H 10/60 (2018.01) [G06F 1/163 (2013.01); G16H 40/60 (2018.01); G16H 50/70 (2018.01); H04W 4/80 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by a computing device via a computer network, an electronic health record (EHR) of a patient from an EHR computer system;
receiving, by the computing device via the computer network, an order to dispense a medicine to the patient;
receiving, by the computing device via the computer network, real-time information from a wearable Internet of Things (IoT) device of the patient and updating the EHR of the patient based on the real-time information from the wearable IoT device of the patient, wherein the real-time information from the wearable IoT device of the patient comprises biometric data, health data, and real-time information about medicines, allergies, medical records, current vitals, allergy warnings, activity, and fitness of the patient, from databases attached to IoT devices and from real-time sensor readings;
determining, by the computing device, that a health concern is not identified based on the real-time information from the wearable IoT device of the patient; and
dispensing, by the computing device, the medicine to the patient in accordance with the order and based on the determining, by the computing device, that a health concern is not identified based on the real-time information from the wearable IoT device of the patient.