{"doi":"10.1111/jgs.18141","title":"Individualized interventions and precision health: Lessons learned from a systematic review and implications for <scp>analytics‐driven</scp> geriatric research","abstract":"Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for heterogeneity. We present the results of a systematic review of data-driven, personalized interventions in older adults, which serves as a use case to distinguish the conceptual and methodologic differences between individualized intervention delivery and precision health-derived interventions. We define individualized interventions as those where all participants received the same parent intervention, modified on a case-by-case basis and using an evidence-based protocol, supplemented by clinical judgment as appropriate, while precision health-derived interventions are those that tailor care to individuals whereby the strategy for how to tailor care was determined through data-driven, precision health analytics. We discuss how their integration may offer new opportunities for analytics-based geriatric medicine that accommodates individual heterogeneity but allows for more flexible and resource-efficient population-level scaling.","journal":"Journal of the American Geriatrics Society","year":2022,"id":277347,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9529,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":780285,"name":"Nikki L. B. Freeman","orcid":"0000-0002-9905-4855","position":1,"is_corresponding":false},{"id":748611,"name":"Emily P. Jones","orcid":"0000-0002-4294-7564","position":2,"is_corresponding":false},{"id":905309,"name":"Daniela Shirazi","orcid":null,"position":3,"is_corresponding":false},{"id":948444,"name":"Sydney E. Browder","orcid":"0000-0002-2109-0434","position":4,"is_corresponding":false},{"id":948912,"name":"Annie Page","orcid":null,"position":5,"is_corresponding":false},{"id":802079,"name":"John Sperger","orcid":"0000-0002-2273-5353","position":6,"is_corresponding":false},{"id":563331,"name":"Tarek M. Zikry","orcid":"0000-0003-3360-249X","position":7,"is_corresponding":false},{"id":742364,"name":"Fei Yu","orcid":"0000-0003-1079-1590","position":8,"is_corresponding":false},{"id":452197,"name":"Jan Busby‐Whitehead","orcid":null,"position":9,"is_corresponding":false},{"id":367010,"name":"Michael R. Kosorok","orcid":"0000-0002-6070-9738","position":10,"is_corresponding":false},{"id":272507,"name":"John A. Batsis","orcid":"0000-0002-0845-4416","position":11,"is_corresponding":false},{"id":273575,"name":"Anna R. Kahkoska","orcid":"0000-0003-2701-101X","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-19T00:28:34.768552Z","pmid":"36524627","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}