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AI-MLforProactivePatientParticipation
WhatisPatientEngagement?
TheFuture:Pro-ActivePatientParticipation
How toachieveit?
Engagingpatientincaredeliveryactivitiestoenhancepatientoutcomes,
helppatientstomovefrom highriskgrouptolowriskgroupandreducethe
healthcarecost.
EvolutionofPatientEngagement
BEFORE2010
2010-2014
2015-2018
FEATURES
FEATURES
FEATURES
EraofPatientAccess
EraofPatientParticipation
Introductionofwebportalstoenable
patientstoviewtheirownrecords
Introductionofadvancedwebtechnologiesand
mobileappstoenablepatientparticipation
LIMITATIONS
LIMITATIONS
LIMITATIONS
IntuitiveHRA
Personalizedcareplan
anddecidehealthgoals
Predictcareplan
successratiobased
onsimilarpatient’s
data
Patientreviews
AIandMLbased
patienteducation
Chatandvoicebots
tocapturepatient
information
Trackpatienthabits,
emotionallevelsand
behaviouraldata AIInPatientEngagement
Trackpatientoutcomes
andassignnewgoals
8
Multisource
multitechnology
dataaggregation
Checkingquality
ofdata,remove
discrepancies
Identifymultiple
datapointsforAIand
MLtechnologies
DecidewhichAIandML
methodologyisbest
foryourITproduct
Actual
implementation
• Manualscheduling
• Telephonicbooking
• Paperbasedpatient
records
• Timeconsumingscheduling
• Patientviewmissing
• Hugeoperationcostforbighospitals
• Noepisodicdata
• Missingmobilityfactor
• Limitedfeatureslikescheduling,
patienthistoryetc.Noother
featureslikeeducation,
messages,chatetc.
• Webbasedscheduling
• Patientrecords(viewonly)
• Notifications
• Reduceoperationtime
• Diseasetoepisodelevelpatient
informationview
• Mobileversion
• Otherfeaturesadd–Education,
alerts,medicationreminder,
e-prescriptionetc.
•• Patientoutcomes
• Wearabledeviceintegration
• Nocareplanmanagement
• Nopredictiveanalysisfor
prevention
• Noinfocaptureofpatienthabits,
behaviour,professionspecificsetc
• Nohealthgoalmanagement

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AI-ML for Proactive Patient Participation