Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools
Piette JD, Newman S, Krein SL, Marinec N, Chen J, Williams DA, Edmond SN, Driscoll M, LaChappelle KM, Kerns RD, Maly M, Kim HM, Farris KB, Higgins DM, Buta E, Heapy AA. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools. JAMA Internal Medicine 2022, 182: 975-983. PMID: 35939288, PMCID: PMC9361183, DOI: 10.1001/jamainternmed.2022.3178.Peer-Reviewed Original ResearchConceptsCBT-CPComparative effectiveness trialTherapist timeSecondary outcomesMore patientsEffectiveness trialInteractive voice responseCP groupMeaningful improvementsPatient-centered pain careRoland-Morris Disability QuestionnaireVeterans Affairs Health SystemMorris Disability QuestionnairePain intensity scoresChronic back painLess therapist timeMobile health toolsCognitive behavioral therapyRandomized noninferiorityDisability QuestionnaireNoninferiority criteriaOpioid analgesicsPain intensityPain therapyPrimary outcomeArtificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning
Piette J, Newman S, Krein S, Marinec N, Chen J, Williams D, Edmond S, Driscoll M, LaChappelle K, Maly M, Kim H, Farris K, Higgins D, Kerns R, Heapy A. Artificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning. Intelligence-Based Medicine 2022, 6: 100064. DOI: 10.1016/j.ibmed.2022.100064.Peer-Reviewed Original ResearchPatient interactionsPatient subgroupsInteractive voice response callsPain-related interferenceComparative effectiveness trialChronic pain careCourse of therapyPedometer step countsDisease management programsCognitive behavioral therapyCBT-CPChronic painMore patientsPain careTreatment modalitiesTreatment recommendationsEffectiveness trialPatientsStep countBehavioral therapyClinician timeWeeksTherapy sessionsMethods DataTherapist feedback