--- title: "Capacity building for assessing new technologies. | Sutter Health" description: "This article focuses on how we can use existing data to develop the capacity to improve the evidence base on personalized medicine technologies." url: "https://www.sutterhealth.org/research/publications/capacity-building-for-assessing-new-technologies-1055312563" --- 1. [Home](https://www.sutterhealth.org/) / 2. [Research](https://www.sutterhealth.org/research) / 3. [Research publications](https://www.sutterhealth.org/research/publications) / 4. Capacity building for assessing new technologies. # Capacity building for assessing new technologies: approaches to examining personalized medicine in practice. Van Bebber SL, Trosman JR, Liang SY, Wang G, Marshall DA, Knight S, & Phillips KA. _Per Med. 7(4):427-439_ 2010-07-01 ## Abstract This article focuses on the overarching question: how can we use existing data to develop the capacity to improve the evidence base on personalized medicine technologies and particularly regarding their utilization and clinical utility? We focus on data from health payers who are key stakeholders in capacity building , as they need data to guide decisions and they develop data as part of operations. Broadly defined, health payers include insurance carriers, third party payers, health-plan sponsors and organized delivery systems. Data from health payers have not yet been widely used to assess personalized medicine . Now, with an increasing number of personalized technologies covered and reimbursed by health payers, and an increasing number of emerging technologies that will require policy decisions, there is a great opportunity to develop the evidence base using payer data and by engaging with these stakeholders. Here, we describe data that are available from, and are being developed by, health payers and assess how these data can be further developed to increase the capacity for future research, using three examples. The examples suggest that payer data can be used to examine clinical utility and approaches can be developed that simultaneously address the characteristics of personalized medicine , real world data and organizations. These examples can now help us to elucidate how to best examine clinical utility in actual practice and build evaluation approaches that can be applied to future technologies . [PubMed abstract](http://www.ncbi.nlm.nih.gov/pubmed/?term=Capacity+Building+for+Assessing+New+Technologies%3A+Approac) ![Su-Ying Liang, Ph.D.](https://dyn.mktgcdn.com/p/cRIUee_GK3HEL1Wq8svqoUApvABjlwVVA-KUHVGzuNw/fit=crop,gravity=auto,dpr=2,width=188,height=250,quality=100) Su-Ying Liang, Ph.D. Principal investigator [View profile](https://www.sutterhealth.org/research/investigators/su-ying-liang-phd-1049681030) ## Research topics - [Health Policy](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Health+Policy%5C%22%22) ## Related publications [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) - Publication ### [Assignment, attribution, and accountability: new responsibilities and relationships in accountable care organizations.](https://www.sutterhealth.org/research/publications/assignment-attribution-accountability-in-acas-1055312910) Luft HS. 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Health Aff (Millwood). 28(5):1485-93. doi: 10.1377/hlthaff.28.5.1485. 2009 Oct 01 [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) ```json {"@context":"https://schema.org","@type":"MedicalOrganization","name":"Sutter Health","@id":"https://www.sutterhealth.org/#medicalorganization","url":"https://www.sutterhealth.org","logo":"https://www.sutterhealth.org/static/images/sutter-health-logo.svg","address":{"@type":"PostalAddress","streetAddress":"2200 River Plaza Drive","addressLocality":"Sacramento","addressRegion":"CA","postalCode":"95833","addressCountry":"US"},"areaServed":{"@type":"AdministrativeArea","name":"California"},"sameAs":["https://www.facebook.com/SutterHealth","https://www.instagram.com/sutterhealth/","https://x.com/SutterHealth","https://www.youtube.com/sutterhealth","https://www.linkedin.com/company/sutter-health","https://en.wikipedia.org/wiki/Sutter_Health"]} ``` ```json {"@context":"https://schema.org","@type":"BreadcrumbList","@id":"https://www.sutterhealth.org/research/publications/capacity-building-for-assessing-new-technologies-1055312563#breadcrumblist","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.sutterhealth.org/"},{"@type":"ListItem","position":2,"name":"Research","item":"https://www.sutterhealth.org/research"},{"@type":"ListItem","position":3,"name":"Research publications","item":"https://www.sutterhealth.org/research/publications"},{"@type":"ListItem","position":4,"name":"Capacity building for assessing new technologies."}]} ``` ```json {"@context":"https://schema.org","@type":"MedicalScholarlyArticle","@id":"https://www.sutterhealth.org/research/publications/capacity-building-for-assessing-new-technologies-1055312563#medicalscholarlyarticle","name":"Capacity building for assessing new technologies: approaches to examining personalized medicine in practice.","headline":"Capacity building for assessing new technologies.","abstract":"This article focuses on the overarching question: how can we use existing data to develop the capacity to improve the evidence base on personalizedmedicinetechnologies and particularly regarding their utilization and clinical utility? We focus on data from health payers who are key stakeholders in capacitybuilding, as they need data to guide decisions and they develop data as part of operations. Broadly defined, health payers include insurance carriers, third party payers, health-plan sponsors and organized delivery systems. Data from health payers have not yet been widely used to assess personalizedmedicine. Now, with an increasing number of personalizedtechnologies covered and reimbursed by health payers, and an increasing number of emerging technologies that will require policy decisions, there is a great opportunity to develop the evidence base using payer data and by engaging with these stakeholders. Here, we describe data that are available from, and are being developed by, health payers and assess how these data can be further developed to increase the capacity for future research, using three examples. The examples suggest that payer data can be used to examine clinical utility and approaches can be developed that simultaneously address the characteristics of personalizedmedicine, real world data and organizations. 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