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<article article-type="research-article" dtd-version="2.0" xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JC</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Cancer</journal-id>
      <journal-title>JMIR Cancer</journal-title>
      <issn pub-type="epub">2369-1999</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v12i1e84788</article-id>
      <article-id pub-id-type="pmid"/>
      <article-id pub-id-type="doi">10.2196/84788</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Letter</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Letter</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Remote Patient Monitoring Use Among Commercially Insured Adults With Cancer</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Cahill</surname>
            <given-names>Naomi</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Balcarras</surname>
            <given-names>Matthew</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Kudel</surname>
            <given-names>Ian</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Yu</surname>
            <given-names>Tianzhou</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Tarazi</surname>
            <given-names>Wafa W</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Joo</surname>
            <given-names>Joseph H</given-names>
          </name>
          <degrees>MD, MS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Internal Medicine</institution>
            <institution>University of Texas Southwestern Medical Center</institution>
            <addr-line>5323 Harry Hines Blvd</addr-line>
            <addr-line>Dallas, TX, 75390</addr-line>
            <country>United States</country>
            <phone>1 (214) 648 3111</phone>
            <email>Joseph.Joo@UTSouthwestern.edu</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3073-0237</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Jiang</surname>
            <given-names>Changchuan</given-names>
          </name>
          <degrees>MD, MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7392-4154</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Billig</surname>
            <given-names>Jessica I</given-names>
          </name>
          <degrees>MD, MSc</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7586-6306</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Lieu</surname>
            <given-names>Nadia</given-names>
          </name>
          <degrees>MS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0008-7566-7359</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Yang</surname>
            <given-names>Shining</given-names>
          </name>
          <degrees>MA</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0006-0450-3176</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Jin</surname>
            <given-names>Yujia</given-names>
          </name>
          <degrees>MS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0002-1889-5378</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Hong</surname>
            <given-names>Arthur S</given-names>
          </name>
          <degrees>MD, MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6516-6819</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Liao</surname>
            <given-names>Joshua M</given-names>
          </name>
          <degrees>MD, MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9788-9074</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Internal Medicine</institution>
        <institution>University of Texas Southwestern Medical Center</institution>
        <addr-line>Dallas, TX</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Program on Policy Evaluation and Learning</institution>
        <addr-line>Dallas, TX</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Department of Health Economics, Systems, and Policy</institution>
        <institution>University of Texas Southwestern Medical Center</institution>
        <addr-line>Dallas, TX</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Plastic Surgery</institution>
        <institution>University of Texas Southwestern Medical Center</institution>
        <addr-line>Dallas, TX</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Joseph H Joo <email>Joseph.Joo@UTSouthwestern.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>2</month>
        <year>2026</year>
      </pub-date>
      <volume>12</volume>
      <elocation-id>e84788</elocation-id>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>9</month>
          <year>2025</year>
        </date>
        <date date-type="rev-request">
          <day>17</day>
          <month>11</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>26</day>
          <month>1</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>1</month>
          <year>2026</year>
        </date>
      </history>
      <copyright-statement>©Joseph H Joo, Changchuan Jiang, Jessica I Billig, Nadia Lieu, Shining Yang, Yujia Jin, Arthur S Hong, Joshua M Liao. Originally published in JMIR Cancer (https://cancer.jmir.org), 12.02.2026.</copyright-statement>
      <copyright-year>2026</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://cancer.jmir.org/2026/1/e84788" xlink:type="simple"/>
      <abstract>
        <p>Our study describes the characteristics of remote patient monitoring use among commercially insured patients with cancer from 2019 to 2023.</p>
      </abstract>
      <kwd-group>
        <kwd>remote patient monitoring</kwd>
        <kwd>oncology</kwd>
        <kwd>cancer</kwd>
        <kwd>commercially insured</kwd>
        <kwd>utilization</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Remote patient monitoring (RPM) enables continuous monitoring of vital signs, including temperature, heart rate, and blood pressure. By capturing this information while patients are at home or in their communities, RPM can detect early disease status changes and treatment-related adverse events and potentially improve outcomes through early intervention [<xref ref-type="bibr" rid="ref1">1</xref>]. As such, RPM holds substantial promise for cancer treatment. In particular, RPM can support timely interventions to facilitate earlier recognition of decompensation, including fever and hypoxia. In the United States, however, outside of several single-centered trials, data on RPM use among patients with cancer are very limited in oncology [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. Therefore, the aim of our nationwide study was to describe the characteristics of RPM use among commercially insured patients with cancer.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>We used 2019-2023 Merative MarketScan commercial claims, which contain longitudinal commercial insurance claims in the United States. The claims included nearly 40 million unique patients in the outpatient setting for the study period. We used Current Procedural Terminology codes (99091, 99453, 99454, 99457, 99458) to identify RPM services and International Classification of Diseases, Tenth Revision, Clinical Modification codes to identify patients with cancer. Cancer types were classified per American Cancer Society classifications and stratified by the cancer status (active vs history of cancer) [<xref ref-type="bibr" rid="ref4">4</xref>]. Patients were included if they received RPM and were enrolled in insurance at least 11 out of 12 months in a calendar year.</p>
      <p>We described the number and characteristics of patients with cancer with respect to age, sex, region, clinical complexity (ie, Charlson Comorbidity Index) and insurance plan type (health maintenance organization vs preferred provider organization vs other) [<xref ref-type="bibr" rid="ref5">5</xref>]. We also assessed the total number of months of RPM use and the average number of months of RPM use per patient.</p>
      <p>Because of deidentified claims data, the study was determined to be nonhuman research and therefore exempt from institutional review board at the University of Texas Southwestern Medical Center.</p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>Between 2019 and 2023, RPM was used on 236 patients (<xref ref-type="table" rid="table1">Table 1</xref>). Half of our sample were 55-64 years old (118/236, 50.0%) and located in the southern region of the United States (117/236, 49.6%), with considerable clinical complexity (106/236, 44.9% with a Charlson Comorbidity Index of 4+). Over half of patients receiving RPM were female (141/236, 59.7%). The plurality of patients was enrolled in a preferred provider organization (89/236, 37.7%), followed by high-deductible health (64/236, 27.1%) and health maintenance organization (39/236, 16.5%) plans.</p>
      <p>Among the 236 patients, 86.9% (205/236) used RPM for one year, while 13.1% (31/236) used RPM for 2 or more years. These patients accrued a total of 611 total months of RPM, equating to approximately 2.6 months of RPM use per patient. Of all the RPM use in patients with cancer, 45.7% (448/981) of RPM use was from those with other cancers (ie, cancer of unknown primary, rare cancers, cancer subtypes, and pre-cancers), followed by patients with cancers of the blood and lymph system (122/981, 12.4%) and patients with breast cancer (121/981, 12.3%). RPM was also used among patients with digestive (79/981, 8.1%), reproductive (77/981, 7.9%), urinary (46/981, 4.7%), endocrine (36/981, 3.7%), lung and chest (30/981, 3.1%), and skin cancers (15/981, 1.5%). RPM was least frequently used among patients with bone and soft tissue cancer (1/981, 0.1%), brain and nervous system cancer (3/981, 0.3%), and head and neck cancer (3/981, 0.3%)</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Characteristics of the patients with cancer using remote patient monitoring (RPM).</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="190"/>
          <col width="260"/>
          <col width="260"/>
          <col width="260"/>
          <thead>
            <tr valign="top">
              <td colspan="2"/>
              <td>Patients using RPM in 2019-2023 (N=236), n (%)</td>
              <td>Patients using RPM for 1 year (n=205), n (%)</td>
              <td>Patients using RPM for 2 or more years (n=31), n (%)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="5">
                <bold>Age (y)</bold>
              </td>
            </tr>
            <tr valign="top">
              <td/>
              <td>18-34</td>
              <td>21 (8.9)</td>
              <td>21 (10.2)</td>
              <td>0 (0)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>35-44</td>
              <td>32 (13.6)</td>
              <td>28 (13.7)</td>
              <td>4 (12.9)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>45-54</td>
              <td>64 (27.1)</td>
              <td>56 (27.3)</td>
              <td>8 (25.8)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>55-64</td>
              <td>118 (50)</td>
              <td>99 (48.3)</td>
              <td>19 (61.3)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>&gt;64</td>
              <td>1 (0.4)</td>
              <td>1 (0.5)</td>
              <td>0 (0)</td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Sex</bold>
              </td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Female</td>
              <td>141 (59.7)</td>
              <td>115 (56.1)</td>
              <td>26 (83.9)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Male</td>
              <td>95 (40.3)</td>
              <td>90 (43.9)</td>
              <td>5 (16.1)</td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Region</bold>
              </td>
            </tr>
            <tr valign="top">
              <td/>
              <td>South</td>
              <td>117 (49.6)</td>
              <td>101 (49.3)</td>
              <td>16 (51.6)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>West</td>
              <td>45 (19.1)</td>
              <td>41 (20)</td>
              <td>4 (12.9)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>North Central</td>
              <td>35 (14.8)</td>
              <td>34 (16.6)</td>
              <td>1 (3.2)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Northeast</td>
              <td>39 (16.5)</td>
              <td>29 (14.1)</td>
              <td>10 (32.3)</td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Insurance</bold>
              </td>
            </tr>
            <tr valign="top">
              <td/>
              <td>High deductible</td>
              <td>64 (27.1)</td>
              <td>59 (28.8)</td>
              <td>5 (16.1)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Health maintenance  <break/>  
            organization</td>
              <td>39 (16.5)</td>
              <td>33 (16.1)</td>
              <td>6 (19.4)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Preferred provider  <break/>  
            organization</td>
              <td>89 (37.7)</td>
              <td>77 (37.6)</td>
              <td>12 (38.7)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Other<sup>a</sup></td>
              <td>38 (16.1)</td>
              <td>31 (15.1)</td>
              <td>7 (22.6)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>Missing</td>
              <td>6 (2.5)</td>
              <td>5 (2.4)</td>
              <td>1 (3.2)</td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Charlson Comorbidity Index score</bold>
              </td>
            </tr>
            <tr valign="top">
              <td/>
              <td>0-1</td>
              <td>60 (25.4)</td>
              <td>50 (24.4)</td>
              <td>10 (32.3)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>2-3</td>
              <td>70 (29.7)</td>
              <td>62 (30.2)</td>
              <td>8 (25.8)</td>
            </tr>
            <tr valign="top">
              <td/>
              <td>4+</td>
              <td>106 (44.9)</td>
              <td>93 (45.4)</td>
              <td>13 (41.9)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table1fn1">
            <p><sup>a</sup>Other insurance includes basic/major medical plan, comprehensive plan, exclusive provider organization plan, noncapitated (non-cap) point-of-service plan, and capitated (cap) or partially capitated (part cap) point-of-service plan.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>In this nationwide US study, RPM use was limited to less than 1% (236/6,437,829) of patients with cancer and focused on particular patient groups. These exploratory findings offer several implications for future work.</p>
      <p>First, our finding that RPM in the cancer setting was used more in older female patients reflects findings from prior noncancer studies that also showed female patients between the ages of 45 and 64 years to engage most with their clinicians through RPM [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. Future research should evaluate facilitators and barriers to RPM use among younger patients with cancer, particularly given increases in early-onset cancer in the United States and likely greater familiarity with digital interventions such as RPM. Further work is needed to better understand why nearly half of the patients with RPM use were in the south region.</p>
      <p>Second, our findings reflect uneven RPM use across cancer types, with disproportionately higher use among other cancers group (cancers of unknown primary, rare cancers, cancer subtypes, and pre-cancers) over other types such as blood and lymph system cancer. Considering that urinary, breast, lung, and digestive cancers are the most common cancer diagnoses in the United States, more work is needed to evaluate the appropriateness and impact of such findings [<xref ref-type="bibr" rid="ref8">8</xref>]. Because not only different types of cancer but also the stages of treatment (eg, in remission, undergoing chemotherapy/radiation, postsurgery) could largely impact the indications for RPM use, future research must inform clinicians and policymakers which patients with cancer could most benefit from RPM.</p>
      <p>Third, our finding that a patient used RPM for an average of 2.6 months indicates that RPM use is still nascent in the cancer setting. In contrast to more RPM use in chronic diseases such as hypertension (with one studying showing patients using RPM about 9 months), there is a dearth of evidence for longitudinal RPM use in cancer [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>]. Future research is needed to evaluate the outcomes associated with RPM use to better motivate implementation among health systems.</p>
      <p>Study limitations included descriptive design and inability to evaluate the associations between RPM use with cancer outcomes. Although RPM use in cancer could have been more prevalent through clinical trials, which are not captured in our study, the goal of our analysis was to assess real-world adoption within commercial claims data. Furthermore, our study does not capture adoption in patients with public health insurances. Ultimately, our results provide early evidence of opportunity to increase RPM use and potentially fruitful areas for future research and implementation.</p>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">RPM</term>
          <def>
            <p>remote patient monitoring</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>We attest that no artificial intelligence–assisted technologies were used in the writing, editing, or preparation of this manuscript.</p>
    </ack>
    <notes>
      <sec>
        <title>Funding</title>
        <p>This research protocol was funded by the University of Texas Southwestern National Institutes of Health Clinical and Translational Science Award grant 1U54TR002361.</p>
      </sec>
    </notes>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The datasets generated or analyzed during this study are not publicly available due to data use and licensing restrictions from Merative MarketScan Commercial Database but are available from the corresponding author on reasonable request. The dataset analyzed during this study is the Merative MarketScan Commercial Database, which is one of the largest repositories of commercial claims data available. MarketScan is a registered trademark of Merative Corporation in the United States.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>Conceptualization: JHJ, JML</p>
        <p>Data curation: SY, YJ</p>
        <p>Formal analysis: SY, YJ</p>
        <p>Funding acquisition: JML</p>
        <p>Investigation: JHJ, JML</p>
        <p>Methodology: JHJ, CJ, JIB, ASH, JML</p>
        <p>Project administration: JHJ, JML</p>
        <p>Resources: JHJ, JML</p>
        <p>Software: SY, YJ</p>
        <p>Supervision: JML</p>
        <p>Validation: JHJ, JML</p>
        <p>Visualization: JHJ, CJ, JIB, NL, SY, YJ, ASH, JML</p>
        <p>Writing - original draft: JHJ, CJ, JIB, NL, SY, YJ, ASH, JML</p>
        <p>Writing - review &amp; editing: JHJ, CJ, JIB, NL, SY, YJ, ASH, JML</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="journal">
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              <surname>DeRogatis</surname>
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            </name>
            <name name-style="western">
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            </name>
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            </name>
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            </name>
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