{"id":186492,"date":"2025-05-05T10:24:02","date_gmt":"2025-05-05T14:24:02","guid":{"rendered":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/?p=186492"},"modified":"2026-05-04T08:44:43","modified_gmt":"2026-05-04T12:44:43","slug":"urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults","status":"publish","type":"post","link":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/","title":{"rendered":"URMC &#8211; Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Authors<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Anthony Corbett<\/li>\n\n\n\n<li>Jennifer Dutra<\/li>\n\n\n\n<li>Jeewoo Park<\/li>\n\n\n\n<li>Jocelyn Wood<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Sponsor<\/h2>\n\n\n\n<p>Jinjiao Wang, Ph.D., RN<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Instructors<\/h2>\n\n\n\n<p>Ajay Anand, Ph.D.<\/p>\n\n\n\n<p>Cantay Caliskan , Ph.D.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Abstract<\/h2>\n\n\n\n<p>This project aimed to identify which older adults are most at risk of being rehospitalized after receiving home healthcare, with a focus on those taking multiple medications. The team analyzed data from over 6,800 patients, cleaning and standardizing medication and diagnosis information, then using clustering to group patients and medications into meaningful categories. To predict rehospitalization, the team applied several machine learning models, including tree-based methods and a model that used BERT text embeddings to summarize medication data. The best-performing model achieved 96% accuracy and a 97% AUC score. Results highlighted important risk factors such as high medication burden, limited physical function, and certain drug classes. These findings support safer prescribing decisions and more personalized care for older adults.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Introduction<\/h2>\n\n\n\n<p>Many older adults are taking multiple medications to manage chronic conditions.<\/p>\n\n\n\n<p>Older adults taking multiple medications may be at higher risk for adverse outcomes, including falls, cognitive issues, and overall frailty. Studies have shown that the most successful deprescribing interventions are ones that are personalized to individual patients<sup>1<\/sup>.<\/p>\n\n\n\n<p>Our goal is to identify patterns and clusters of medication use and to identify factors that increase the risk of hospitalization.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Methods<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Standardized medication and diagnosis data using RxNorm and PhecodeX; merged with patient demographics and clinical variables.<\/li>\n\n\n\n<li>Conducted exploratory data analysis and clustering on medication categories (SHED Med), potentially inappropriate medications (PIMs) criteria and patient features to uncover risk patterns.<\/li>\n\n\n\n<li>Identified statistically significant predictors of rehospitalization using logistic regression.<\/li>\n\n\n\n<li>Trained and evaluated multiple machine learning models; BERT embeddings combined with XGBoost achieved highest accuracy (96%) and ROC-AUC (97%).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Data<\/h2>\n\n\n\n<p>Older adults (N = 6855) were followed while receiving home health care services after a hospitalization or other acute event. All-cause rehospitalization was 11%. Data collected included:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Patient demographics, ADLs, OASIS variables<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Patient medications<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Patient medical diagnoses<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"454\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-1024x454.png\" alt=\"\" class=\"wp-image-208662\" style=\"width:674px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-1024x454.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-300x133.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-768x340.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-1536x681.png 1536w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-2048x908.png 2048w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/patient-demographics-1-1920x851.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"319\" height=\"271\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/race.png\" alt=\"\" class=\"wp-image-208762\" style=\"width:348px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/race.png 319w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/race-300x255.png 300w\" sizes=\"auto, (max-width: 319px) 100vw, 319px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"458\" height=\"301\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/age-distribution-1.png\" alt=\"\" class=\"wp-image-208782\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/age-distribution-1.png 458w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/age-distribution-1-300x197.png 300w\" sizes=\"auto, (max-width: 458px) 100vw, 458px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p><strong>Medications Associated with Geriatric Syndromes (MAGS)<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"893\" height=\"416\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/MAGS.png\" alt=\"\" class=\"wp-image-207582\" style=\"width:622px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/MAGS.png 893w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/MAGS-300x140.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/MAGS-768x358.png 768w\" sizes=\"auto, (max-width: 893px) 100vw, 893px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Only depression and urinary incontinence MAGS show much difference between percentage of re-hospitalized patients and percentage of not re-hospitalized patients.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"alignright size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"790\" height=\"698\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/beers.png\" alt=\"\" class=\"wp-image-208842\" style=\"width:316px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/beers.png 790w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/beers-300x265.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/beers-768x679.png 768w\" sizes=\"auto, (max-width: 790px) 100vw, 790px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"alignleft size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"818\" height=\"502\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Beers-1-2.png\" alt=\"\" class=\"wp-image-208852\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Beers-1-2.png 818w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Beers-1-2-300x184.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Beers-1-2-768x471.png 768w\" sizes=\"auto, (max-width: 818px) 100vw, 818px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>BEERS Criteria is developed by the American Geriatric Society flagging potentially inappropriate medications (PIMs) that pose higher risks than benefits for older adults.<\/strong><\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Screening Tool of Older Persons&#8217; Prescriptions (STOPP)<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"alignright size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"792\" height=\"700\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/stopp-table.png\" alt=\"\" class=\"wp-image-208932\" style=\"width:312px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/stopp-table.png 792w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/stopp-table-300x265.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/stopp-table-768x679.png 768w\" sizes=\"auto, (max-width: 792px) 100vw, 792px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\"><div class=\"wp-block-image\">\n<figure class=\"alignleft size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"987\" height=\"590\" data-id=\"208982\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/STOPP-2.png\" alt=\"\" class=\"wp-image-208982\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/STOPP-2.png 987w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/STOPP-2-300x179.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/STOPP-2-768x459.png 768w\" sizes=\"auto, (max-width: 987px) 100vw, 987px\" \/><\/figure>\n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Developed by European Geriatric Society flagging potentially inappropriate prescriptions by considering patient-specific clinical conditions.&nbsp;&nbsp;<\/strong><\/li>\n<\/ul>\n\n\n\n<p><strong>RASP<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"alignright size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"796\" height=\"706\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-table.png\" alt=\"\" class=\"wp-image-208912\" style=\"width:311px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-table.png 796w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-table-300x266.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-table-768x681.png 768w\" sizes=\"auto, (max-width: 796px) 100vw, 796px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"alignleft size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"988\" height=\"590\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-2.png\" alt=\"\" class=\"wp-image-208922\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-2.png 988w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-2-300x179.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/RASP-2-768x459.png 768w\" sizes=\"auto, (max-width: 988px) 100vw, 988px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Adapted from STOPP, the RASP list is tailored for community and home care pharmacy settings<\/strong>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Data Processing<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Include only active medications<\/li>\n\n\n\n<li>Map free-text&nbsp; medications and medication categories to standardized RxNorm codes<\/li>\n\n\n\n<li>Merge medication files by RxNorm code<\/li>\n\n\n\n<li>Map ICD-10 diagnosis codes PhecodeX phenotype categories and rollup to most general disease categories to reduce dimensionality.<\/li>\n\n\n\n<li>Integrate all medication and diagnoses data with patient data<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"437\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-1024x437.png\" alt=\"\" class=\"wp-image-207622\" style=\"width:773px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-1024x437.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-300x128.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-768x328.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-1536x656.png 1536w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-2048x875.png 2048w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/box-plots-1920x820.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"426\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-1024x426.png\" alt=\"\" class=\"wp-image-207632\" style=\"width:773px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-1024x426.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-300x125.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-768x320.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-1536x639.png 1536w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-2048x852.png 2048w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/medication-processing-1920x799.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"629\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/polypharmacy-levels-1-1024x629.png\" alt=\"\" class=\"wp-image-208712\" style=\"width:396px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/polypharmacy-levels-1-1024x629.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/polypharmacy-levels-1-300x184.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/polypharmacy-levels-1-768x472.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/polypharmacy-levels-1.png 1062w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"alignright size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"747\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Screenshot-2025-05-04-164102-1024x747.png\" alt=\"\" class=\"wp-image-208742\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Screenshot-2025-05-04-164102-1024x747.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Screenshot-2025-05-04-164102-300x219.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Screenshot-2025-05-04-164102-768x560.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/Screenshot-2025-05-04-164102.png 1364w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Polypharmacy (32%) and hyper-polypharmacy (61%) are very common, but very few patients with no polypharmacy (~7%)<\/strong><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"433\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-1024x433.png\" alt=\"\" class=\"wp-image-208032\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-1024x433.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-300x127.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-768x325.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-1536x650.png 1536w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-2048x866.png 2048w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/phecodes-1920x812.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Clustering<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"596\" height=\"470\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/K-means-cci-1.png\" alt=\"\" class=\"wp-image-208102\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/K-means-cci-1.png 596w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/K-means-cci-1-300x237.png 300w\" sizes=\"auto, (max-width: 596px) 100vw, 596px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"595\" height=\"471\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/k-means-functional.png\" alt=\"\" class=\"wp-image-208112\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/k-means-functional.png 595w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/k-means-functional-300x237.png 300w\" sizes=\"auto, (max-width: 595px) 100vw, 595px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Patient data clustered on several sets of related variables<\/li>\n\n\n\n<li>Medication data clustered based on SHED Med medication categories<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/dbscan-shed-meds-1024x512.png\" alt=\"\" class=\"wp-image-208132\" style=\"width:757px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/dbscan-shed-meds-1024x512.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/dbscan-shed-meds-300x150.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/dbscan-shed-meds-768x384.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/dbscan-shed-meds.png 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Results<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Medications and Diagnoses were independently screened for statistically significant association with rehospitalization.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Significant results, along with patient demographics were adjusted for in a logistic regression model to estimate effect size (odds ratio ) for the increased risk.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"669\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/log-regression-1024x669.png\" alt=\"\" class=\"wp-image-206522\" style=\"width:644px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/log-regression-1024x669.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/log-regression-300x196.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/log-regression-768x502.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/log-regression.png 1374w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Patient data and service intensity data showed to be most robust individual predictors<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tree-based models (XGBoost, Random Forest) was the most efficient and accurate model <\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"598\" src=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/model-performance-1-1024x598.png\" alt=\"\" class=\"wp-image-207102\" style=\"width:549px;height:auto\" srcset=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/model-performance-1-1024x598.png 1024w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/model-performance-1-300x175.png 300w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/model-performance-1-768x448.png 768w, https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/model-performance-1.png 1141w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Numeric data alone did not show significant improvement in the model<\/li>\n\n\n\n<li>Using text data from the cleaned dataset helped improve the statistics<\/li>\n\n\n\n<li>Summarized text data with BERT transformer and stacking XGBoost showed the best result with 96% accuracy, 97% ROC-AUC, and 69% recall<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Conclusion<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hyper-polypharmacy, ADL and Charlson Comorbidity Index show increased risk<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Key drug classes and clinically relevant diagnoses show increased risk<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tree-based ML models perform the best at predicting rehospitalization<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Text embedding shows overall higher performance over structured, high dimensional and sparse data<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Acknowledgements<\/h2>\n\n\n\n<p>We would like to thank Dr. Wang for her support and feedback and for giving us the opportunity to work on this project. We\u2019d also like to thank Dr. Anand and Dr. Caliskan for their guidance throughout the semester.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"font-size:36px\">Reference<\/h2>\n\n\n\n<p>1. Liacos M, Page AT, Etherton-Beer C. Deprescribing in older people. Aust Prescr. 2020 Aug;43(4):114-120. doi: 10.18773\/austprescr.2020.033. Epub 2020 Aug 3. PMID: 32921886; PMCID: PMC7450772.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This project investigated whether patterns in medication use among older adults could help predict rehospitalization after home healthcare. Using data from over 6,800 patients, we analyzed active medications, diagnoses, and patient characteristics, mapping them to standardized codes like RxNorm and PhecodeX. We applied clustering techniques and machine learning models, including XGBoost and BERT-based text embeddings, to identify potential risk factors. Although some variables\u2014like hyper-polypharmacy, reduced physical function (ADL), and certain medication classes\u2014were associated with increased risk, no clear or consistent clusters emerged as highly predictive. Our best-performing model achieved 96% accuracy and 97% ROC-AUC, reinforcing the value of advanced methods but also underscoring the need for individualized deprescribing strategies in geriatric care.<\/p>\n","protected":false},"author":15542,"featured_media":211782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4442,106],"tags":[16532,23192],"coauthors":[20122,20132,20142,20152],"class_list":["post-186492","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-archive","category-dsc-archive","tag-machine-learning","tag-polypharmacy"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>URMC - Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults - Senior Design Day<\/title>\n<meta name=\"description\" content=\"Older adults taking multiple medications face increased risks of rehospitalization and adverse outcomes. Our project, in collaboration with Dr. Jinjiao Wang, used patient, medication and diagnoses data to identify key risk factors and improve deprescribing strategies.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"URMC - Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults - Senior Design Day\" \/>\n<meta property=\"og:description\" content=\"Older adults taking multiple medications face increased risks of rehospitalization and adverse outcomes. Our project, in collaboration with Dr. Jinjiao Wang, used patient, medication and diagnoses data to identify key risk factors and improve deprescribing strategies.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/\" \/>\n<meta property=\"og:site_name\" content=\"Senior Design Day\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-05T14:24:02+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-04T12:44:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/channels4_profile-1-900x630.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"900\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Anthony Corbett, Jennifer Dutra, Jocelyn Wood, Jeewoo Park (UG)\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Anthony Corbett, Jennifer Dutra, Jocelyn Wood, Jeewoo Park (UG)\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/\"},\"author\":{\"name\":\"Anthony Corbett\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/#\\\/schema\\\/person\\\/1f773d2747c2535dba0da31fd2363d3e\"},\"headline\":\"URMC &#8211; Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults\",\"datePublished\":\"2025-05-05T14:24:02+00:00\",\"dateModified\":\"2026-05-04T12:44:43+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/\"},\"wordCount\":700,\"image\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/channels4_profile-1.jpg\",\"keywords\":[\"Machine Learning\",\"Polypharmacy\"],\"articleSection\":[\"3. Programs Archive\",\"DSC Archive\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/\",\"url\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/\",\"name\":\"URMC - Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults - Senior Design Day\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/channels4_profile-1.jpg\",\"datePublished\":\"2025-05-05T14:24:02+00:00\",\"dateModified\":\"2026-05-04T12:44:43+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/#\\\/schema\\\/person\\\/1f773d2747c2535dba0da31fd2363d3e\"},\"description\":\"Older adults taking multiple medications face increased risks of rehospitalization and adverse outcomes. Our project, in collaboration with Dr. Jinjiao Wang, used patient, medication and diagnoses data to identify key risk factors and improve deprescribing strategies.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/channels4_profile-1.jpg\",\"contentUrl\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/channels4_profile-1.jpg\",\"width\":900,\"height\":900},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"URMC &#8211; Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/#website\",\"url\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/\",\"name\":\"Senior Design Day\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/#\\\/schema\\\/person\\\/1f773d2747c2535dba0da31fd2363d3e\",\"name\":\"Anthony Corbett\",\"url\":\"https:\\\/\\\/www.hajim.rochester.edu\\\/senior-design-day\\\/author\\\/acorbet2\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"URMC - Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults - Senior Design Day","description":"Older adults taking multiple medications face increased risks of rehospitalization and adverse outcomes. Our project, in collaboration with Dr. Jinjiao Wang, used patient, medication and diagnoses data to identify key risk factors and improve deprescribing strategies.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/","og_locale":"en_US","og_type":"article","og_title":"URMC - Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults - Senior Design Day","og_description":"Older adults taking multiple medications face increased risks of rehospitalization and adverse outcomes. Our project, in collaboration with Dr. Jinjiao Wang, used patient, medication and diagnoses data to identify key risk factors and improve deprescribing strategies.","og_url":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/","og_site_name":"Senior Design Day","article_published_time":"2025-05-05T14:24:02+00:00","article_modified_time":"2026-05-04T12:44:43+00:00","og_image":[{"width":900,"height":630,"url":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/channels4_profile-1-900x630.jpg","type":"image\/jpeg"}],"author":"Anthony Corbett, Jennifer Dutra, Jocelyn Wood, Jeewoo Park (UG)","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Anthony Corbett, Jennifer Dutra, Jocelyn Wood, Jeewoo Park (UG)","Est. reading time":"8 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#article","isPartOf":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/"},"author":{"name":"Anthony Corbett","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/#\/schema\/person\/1f773d2747c2535dba0da31fd2363d3e"},"headline":"URMC &#8211; Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults","datePublished":"2025-05-05T14:24:02+00:00","dateModified":"2026-05-04T12:44:43+00:00","mainEntityOfPage":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/"},"wordCount":700,"image":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#primaryimage"},"thumbnailUrl":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/channels4_profile-1.jpg","keywords":["Machine Learning","Polypharmacy"],"articleSection":["3. Programs Archive","DSC Archive"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/","url":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/","name":"URMC - Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults - Senior Design Day","isPartOf":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#primaryimage"},"image":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#primaryimage"},"thumbnailUrl":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/channels4_profile-1.jpg","datePublished":"2025-05-05T14:24:02+00:00","dateModified":"2026-05-04T12:44:43+00:00","author":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/#\/schema\/person\/1f773d2747c2535dba0da31fd2363d3e"},"description":"Older adults taking multiple medications face increased risks of rehospitalization and adverse outcomes. Our project, in collaboration with Dr. Jinjiao Wang, used patient, medication and diagnoses data to identify key risk factors and improve deprescribing strategies.","breadcrumb":{"@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#primaryimage","url":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/channels4_profile-1.jpg","contentUrl":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-content\/uploads\/2025\/05\/channels4_profile-1.jpg","width":900,"height":900},{"@type":"BreadcrumbList","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/urmc-wang-predicting-adverse-outcomes-due-to-polypharmacy-in-older-adults\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/"},{"@type":"ListItem","position":2,"name":"URMC &#8211; Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults"}]},{"@type":"WebSite","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/#website","url":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/","name":"Senior Design Day","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/#\/schema\/person\/1f773d2747c2535dba0da31fd2363d3e","name":"Anthony Corbett","url":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/author\/acorbet2\/"}]}},"_links":{"self":[{"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/posts\/186492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/users\/15542"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/comments?post=186492"}],"version-history":[{"count":14,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/posts\/186492\/revisions"}],"predecessor-version":[{"id":212222,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/posts\/186492\/revisions\/212222"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/media\/211782"}],"wp:attachment":[{"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/media?parent=186492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/categories?post=186492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/tags?post=186492"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/wp-json\/wp\/v2\/coauthors?post=186492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}