The study examined the variation in devices used (desktop/laptop computer, mobile device, or both device types) by patients of different racial/ethnic backgrounds to access the online patient portal.
Objectives: We examined racial/ethnic variation in the devices used by patients to access medical records through an online patient portal.
Study Design: Retrospective, cross-sectional analysis.
Methods: Using data from 318,700 adults enrolled in an integrated delivery system between December 2012 and November 2013, we examined: 1) online patient portal use that directly engages the electronic health record and 2) portal use over desktops/laptops only, mobile devices only, or both device types. The primary covariate was race/ethnicity (non-Hispanic white, black, Hispanic, and Asian). Other covariates included age, sex, primary language, and neighborhood-level income and education. Portal use and devices used were assessed with multiple and multinomial logistic models, respectively.
Results: From December 2012 to November 2013, 56% of enrollees used the patient portal. Of these portal users, 62% used desktops/laptops only, 6% used mobile devices only, and 32% used both desktops/laptops and mobile devices. Black, Hispanic, and Asian enrollees had significantly lower odds of portal use than whites. Black and Hispanic portal users also were significantly more likely to use mobile devices only (relative risk ratio, 1.73 and 1.44, respectively) and both device types (1.21 and 1.07, respectively) than desktops/laptops only compared with whites.
Conclusions: Although racial/ethnic minority enrollees were less likely to access the online patient portal overall, a greater proportion of black and Hispanic users accessed the patient portal with mobile devices than did non-Hispanic white users. The rapid spread of mobile devices among racial/ethnic minorities may help reduce variation in online patient portal use. Mobile device use may represent an opportunity for healthcare organizations to further engage black and Hispanic enrollees in online patient portal use.
Am J Manag Care. 2018;24(1):e1-e8Takeaway Points
The increasing availability of mobile devices and applications has the potential to extend patient engagement through the use of patient portals. This study examined racial/ethnic variation in the devices used (desktop/laptop computer, mobile device, or both device types) by patients to access medical records through an online patient portal.
Online patient portals have the potential to be important health communication and care coordination tools for patients and providers and to improve access to healthcare for patients.1-3 Healthcare systems and clinics use patient portals to fulfill key metrics of federal Meaningful Use requirements, including direct patient engagement; this occurs when patients view, download, and transmit health information online and use secure messaging to communicate with providers.4 In 2010, the use of secure online patient portals by adults nationally doubled from 2 years before to 7%,5 while integrated and academic healthcare systems reported use by more than 40% of patients.2,6,7 Patient portals provide secure access to and interaction with healthcare-related services and information in electronic health records (EHRs).8-10 Patient portal functions may include secure messaging with providers, requesting medication refills and appointments, and viewing laboratory results and other portions of the EHR. Use of portals has been linked to improved care quality, patient satisfaction, and health outcomes.11-14
Portal enrollment and use are generally lower among racial/ethnic minority patient populations.7,10,12,15,16 Specifically, black, Hispanic, and Asian patients have been found to have lower enrollment and use of patient portals than non-Hispanic white patients, even after adjusting for internet access and use.7,9,10,12,15-17 However, new technologies, such as smartphones and other mobile devices, may help attenuate differences in patient portal use among racial/ethnic minority patients. Mobile device browsers can be used to access patient portal websites, and healthcare organizations are implementing mobile applications with similar sets of services.18 Blacks and English-speaking Hispanics are more likely to own a smartphone and use a wider range of its applications (eg, internet, email) than whites.19 Compared with whites, blacks and English-speaking Hispanics also are more likely to rely on their smartphones for access to the internet.19,20 Although racial/ethnic minorities are more likely to own and rely on mobile devices, the current extent of access to patient portals with mobile devices is unknown.
We examined the relationship of race/ethnicity to patient portal use and devices used to access the portal among enrollees in an integrated healthcare delivery system. We focused on patient portal functions associated with the Meaningful Use criteria, specifically measuring patient healthcare management tasks that engage the healthcare provider and healthcare system. Similar to previous findings, we hypothesized that non-Hispanic whites would be more likely to use the patient portal than racial/ethnic minority enrollees. Given the high rates of smartphone use among racial/ethnic minorities, we further hypothesized that black and Hispanic enrollees would have a higher proportion of patient portal use via mobile devices (compared with desktop/laptop computers) than non-Hispanic white enrollees.
Setting, Data Sources, and Study Participants
This study was conducted in Group Health Cooperative (now Kaiser Permanente Washington), a mixed-model healthcare delivery system in Washington state. Approximately 400,000 members receive their care through Group Health’s integrated delivery system, which includes 25 Group Health-owned facilities and approximately 1000 Group Health physicians. The online patient portal has been available on the patient website (ghc.org during the time of the study, currently kp.org) since 2003 and on a mobile application (for both iPhone and Android) since 2011. Enrollees are informed of the website and portal functions upon enrollment. Mobile application use is encouraged via several marketing methods, including the patient website and screensavers throughout clinics. To access the patient portal, patients register online on the patient website (through a desktop/laptop or mobile Web browser) and verify their identity at a clinic or register in person at any clinic.3 Once registered, patients can access a number of features, including portal functions. Access is available to all patients in the integrated delivery system and is available only in English.
This cross-sectional study drew from 5 enrollee data sources: administrative data for individual demographic information, Web server logs to identify devices used to access functions, EHR records to identify functions accessed, online prescription refill data to identify medication refill requests, and 2010 US Census data for Census block-level demographic information.
Study enrollees were adults (≥18 years) who were enrolled in Group Health’s integrated delivery system for any length of time from December 2012 to November 2013 and who had a primary care provider in a clinic owned and operated by Group Health. Adults receiving care in Group Health’s contracted network were excluded because some portal functions were not available to them.3
The Group Health Research Institute’s Institutional Review Board approved this study.
Our primary outcomes of interest were 1) portal use among study enrollees and 2) devices used to access the patient portal among portal users.
We defined portal use as having used any of 8 eligible portal functions that directly engaged patients with the EHR on at least 2 days within the study period. The 8 portal functions align with federal Meaningful Use requirements: secure messaging with providers, requesting medication refills and appointments, and viewing after-visit summaries, medical test results, medical conditions, allergies, and immunizations.3,21 We defined portal use as 2 uses on 2 days to identify meaningful engagement with the EHR (rather than a single log-on) and to allow for multiple devices to be used for accessing functions.
Devices used to access the patient portal were identified through server logs.22 We parsed HTTP request strings from Web server log data to identify specific devices (eg, smartphones, tablets, desktops/laptops) and mode of accessing the data (eg, Web browser, mobile application). Log data were matched with EHR records within a time window. All 8 portal functions were accessible through all devices and modes of access.
We categorized devices used as desktop computer only, mobile devices only, and both device types. “Desktop computer only” captured both desktop and laptop computer use; our methodology could not distinguish between these devices and the similar user interface (eg, a physical keyboard) of laptop and desktop computers warranted their combination. “Mobile devices only” indicated use of smartphones and tablets to access the portal through the mobile application or Web browser. “Both device types” indicated use of desktop/laptop computers and mobile devices.
Our independent variables were race/ethnicity, age, gender, primary language, and neighborhood-level education and income.
We obtained race/ethnicity, gender, age (18-34, 35-49, 50-64, or ≥65 years), and primary language (English or any other language) from administrative data. These variables were collected mostly by administrative staff at enrollee registration in the plan. Self-reported race/ethnicity was our primary independent variable and was categorized as Hispanic, non-Hispanic white, non-Hispanic black, non-Hispanic Asian, and non-Hispanic other. “Other” included enrollees who self-identified as Native American, Hawaiian/Pacific Islander, or with 2 or more races.
Because enrollee education and income had not been collected at registration, we linked enrollees’ home addresses to Census block group-level data and determined the percentage of individuals in the Census block group who completed high school and the group’s median household income.7
For bivariate analyses, we examined descriptive characteristics by race/ethnicity using χ2 tests and examined pairwise comparisons for device use and portal use by race/ethnicity (compared with white) using 2-sample tests of proportions. We used multiple logistic regression to determine independent associations between race/ethnicity and portal use among all study enrollees. We used multinomial logistic regression to determine the relationship between race/ethnicity and devices used to access the patient portal among portal users. We report these findings as relative risk ratios; values greater than 1 suggest greater relative risk than the reference group, whereas values less than 1 suggest lower relative risk. Sensitivity analyses including the “missing” race/ethnicity and primary language category from regression models were conducted to assess the impact of missing information on results. We present descriptive information for enrollees missing race/ethnicity and primary language, but excluded these categories from the regression models because results with these categories were similar in significance and direction.
All analyses were conducted using Stata version 13.0 (StataCorp LLC; College Station, Texas).
Among 318,700 Group Health enrollees, 68% were white; 4%, black; 8%, Asian; and 5%, Hispanic (Table 1). Enrollees varied significantly across demographic characteristics. Twenty-six percent of white enrollees were 65 years or older compared with 11% to 14% of racial/ethnic minority enrollees. Asians and Hispanics had significantly higher proportions of enrollees with a primary language other than English (17% and 7%, respectively). Blacks had the lowest proportion living in high educational attainment areas (89%) and the highest proportion in the lowest median household income areas (43%). Mean months of enrollment during the study period did not vary by race/ethnicity (data not shown).
Race/ethnicity and primary language were missing for 10% and 9%, respectively, of study enrollees. Race/ethnicity data also were most likely to be missing among younger male enrollees.
Unadjusted Patient Portal Use and Devices Used to Access the Patient Portal
Among the study sample, 74% registered for the patient portal and 56% used the portal during the study period (Table 2). Portal registration and use was highest among white enrollees (81% and 64%, respectively) and lowest among black enrollees (64% and 44%). The majority of portal users accessed the following: medical test results (87%), secure messaging (68%), and medication refill requests (54%). Compared with whites, racial/ethnic minority users were less likely to use secure messaging and submit refill requests, but similarly or more likely to view medical conditions, immunizations, and allergies. Compared with enrollees whose primary language was English, enrollees with another primary language were significantly less likely to use the patient portal. These portal users were less likely to use secure messaging, request appointments and medication refills, and view after-visit summaries (eAppendix [available at ajmc.com]).
The devices used to access the portal varied by race/ethnicity (Table 3). Sixty-two percent used desktop computers only, 6% used mobile devices only, and 32% used both device types. White portal users had the highest proportion using only desktop computers (63%), whereas Black and Hispanic portal users had a higher proportion using only mobile devices (10% and 9%, respectively) compared with lower mobile-only use among white portal users (5%). Using both device types to access the portal was higher among all racial/ethnic minority portal users.
Variations in Portal Use by Race/Ethnicity and Primary Language
After adjustment for age, gender, primary language, neighborhood-level education, and neighborhood-level income, differences in portal use remained significant for all racial/ethnic minority enrollees compared with white enrollees (Table 4). Black, Asian, and Hispanic enrollees had significantly lower odds of portal use than white enrollees (odds ratios [ORs]: 0.49, 0.70, and 0.70, respectively). Additionally, enrollees whose primary language was not English had significantly lower odds of portal use than those whose primary language was English (OR, 0.24).
Variations in Devices Used to Access the Portal
Device used to access the patient portal varied among all portal users (Table 5). In the unadjusted model, all racial/ethnic minority portal users were significantly more likely to use mobile devices and both device types than desktops only compared with white portal users. After adjustment, compared with white portal users, black and Hispanic portal users were more likely to use mobile devices only than desktops only to access the portal (relative risk ratio [RRR], 1.73 and 1.44, respectively; both P <.05) and more likely to use both device types (RRR, 1.21 and 1.07; both P <.05). After adjustment, Asian portal users were less likely to use both device types than desktops only (RRR, 0.93; P <.05) compared with whites. Asian portal users also were no longer significantly different from white users in their use of mobile devices only. Primary language was not significantly associated with device used.
We observed important racial and ethnic variations in use of the online patient portal and in the proportion of devices enrollees used to access the portal in an integrated healthcare system. Although most patient portal users continued to use solely desktop or laptop computers to access the portal, 10% of black and 9% of Hispanic enrollees used mobile devices exclusively to access their patient portals during the study year. Black and Hispanic portal users were more likely than white portal users to use mobile devices only or both device types to access their portals. Although overall portal use was high among all enrollees, racial/ethnic minority enrollees remained less likely to use the portal compared with white enrollees. Almost two-thirds of white enrollees used the portal, yet approximately half or less of racial/ethnic minority enrollees used the portal.
Our study is one of the first to examine variations in the devices enrollees use to access the patient portal. The higher mobile-only portal access among black and Hispanic users may be linked to greater smartphone dependency, preferences and attitudes toward mobile device use (not explained by income or education), and affordability of different devices.19,20,23 In addition to higher ownership rates of mobile devices and a wider usage of mobile data applications, 12% of blacks and 13% of English-speaking Hispanics are smartphone dependent (ie, lacking alternatives to their smartphone for internet access) compared with 4% of whites.19,20,24,25 This suggests that a proportion of our mobile-only population may not otherwise have the ability to access their patient portal. Longitudinal studies are needed to assess whether the use of mobile devices and applications to access patient portals are similar across racial/ethnic minorities or if higher uptake of mobile devices among racial/ethnic minorities may attenuate racial/ethnic differences in portal use over time. Surprisingly, Asian portal users had a similar likelihood of exclusive mobile device use but a lower likelihood of using both device types compared with white users. This finding merits further research, as smartphone ownership and home internet use are highest among Asians.24,25 With 62% of smartphone owners using their phones to access health information,19 this cross-sectional analysis suggests that the mobile-only user population represents an opportunity for healthcare organizations to engage black and Hispanic patients in portal use. However, it is important to recognize that individuals and households who rely on mobile devices as their only computer are often younger, lower-income, racial/ethnic minority populations who are more vulnerable to financial and technical constraints (eg, cost of maintaining a cell phone plan, data allowances).19,25 Further research is needed to better understand the barriers that these and other vulnerable populations (eg, elderly patients or those with lower educational attainment) face in accessing patient portals.17
As previously observed,15,26 patient portal use was lower among racial/ethnic minority patients. Although black and Asian enrollees in our healthcare system were previously found to have lower odds of portal use,15 the similarity in observed difference in portal use in Asians and Hispanics compared with whites (both ORs, 0.70) was unexpected. Nationally, Asians have the highest internet accessibility and use of all races/ethnicities,25 and previous studies have observed either no significant difference or more portal use in Asians compared with whites.7,15,26 Our finding may be driven by factors not captured in our data, and further investigation should explore how portal use may vary across Asian subgroups or factors such as patient portal awareness among Asian enrollees. Lower portal use among racial/ethnic minorities in our sample appeared to be due to lower use of active functions (eg, secure messaging and medical refills), rather than passive functions (eg, viewing medical tests).26 Addressing the use of more complex functions may help increase overall use among racial/ethnic minority patients. Similar to findings of previous studies,12,26 portal use was lower among enrollees whose primary language was not English. However, primary language was not associated with device used. This suggests that language is an important barrier to portal use, but not to how patients access the portal. Differences in portal use may arise from difficulties in navigating an English-language patient portal, which contains the dual barriers of language literacy and health literacy. Additional reasons, such as computer literacy and communication preferences, should also be explored. Lower portal use among racial/ethnic minority populations underscores existing concerns about the digital divide and its potential to amplify healthcare-related disparities among vulnerable racial/ethnic minority enrollees.27 Differences in portal use by race/ethnicity and primary language suggest that targeted promotion and development of the patient portal may be needed.17,28
There are several important limitations to note. First, we were unable to determine many enrollee characteristics, such as literacy (including reading/writing, computer, and health), internet accessibility, mobile device use preferences (eg, accessing the internet and potentially sensitive information), and individual socioeconomic factors. Although we were unable to control for internet accessibility, particularly mobile device ownership, previous studies measuring any internet use found racial/ethnic disparities to persist in portal use.15,16 Third, we observed higher levels of missing information for language and race/ethnicity; however, these data were self-reported in Group Health datasets according to organizational standards. Prior studies have also reported high rates of missing information among these variables.7,16 Notably, Meaningful Use Stage 1 requires healthcare organizations to have these fields populated for more than 50% of patients, as both fields need to be better populated to measure possible enrollee disparities.29 Fourth, we measured portal use as using eligible portal functions on at least 2 days. This may have biased the portal user sample toward patients with chronic medical conditions and away from younger, healthier patients who seldom use healthcare services. However, we believe this measure better captures meaningful engagement in care compared with other metrics of website use and allows all categories of devices used (ie, both device types) to be endorsed equally. Fifth, most Web server log entries did not have identifiers to link enrollees to devices, and we matched patient portal records to identifiable log entries using the function’s timestamp; we validated this approach through use and data capture in the EHR and portal test environment.22 Although this approach may have resulted in some underestimation of overall portal use, we do not believe this method caused any systematic bias by race/ethnicity. Finally, Group Health is an integrated delivery system and its racial/ethnic composition differs from that of the general population; these findings may not be generalizable to other healthcare systems. However, this study more accurately captures devices used to access the portal by collecting electronic data, rather than relying on self-reported use data; this removes the information bias that is a common concern in patient behavior studies.
Mobile devices are playing a large role in healthcare, from providing on-demand health information to helping patients and providers monitor and manage chronic conditions. However, researchers and healthcare organizations need to ensure that our increasing reliance on mobile technology does not exacerbate disparities in care and access among vulnerable populations.27 In addition to reconfirming racial/ethnic differences in online patient portal use, we found black and Hispanic portal users to be more likely to use mobile devices to access the patient portal. Mobile devices present an opportunity for healthcare organizations to increase their patient engagement among black and Hispanic enrollees. The accessibility and functionality of patient portals through mobile applications and mobile browsers may help reduce differences in patient portal use.Author Affiliations: RTI International (EC), Waltham, MA; Medical Directorate, University Hospitals of Geneva (KB), Geneva, Switzerland; UCSF Division of General Internal Medicine and Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital (CRL), San Francisco, CA; Kaiser Permanente Washington Health Research Institute (LJ, JDR), Seattle, WA.
Source of Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Dr Chang was supported in part by a postdoctoral fellowship from the Group Health Foundation.
Author Disclosures: The authors report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.
Authorship Information: Concept and design (EC, KB, CRL, JDR); acquisition of data (LJ, JDR); analysis and interpretation of data (EC, KB, CRL, LJ, JDR); drafting of the manuscript (EC); critical revision of the manuscript for important intellectual content (EC, KB, CRL, JDR); statistical analysis (EC); administrative, technical, or logistic support (LJ); and supervision (JDR).
Address Correspondence to: Eva Chang, PhD, MPH, RTI International, 307 Waverly Oaks Rd, Ste 101, Waltham, MA 02452. Email: email@example.com.REFERENCES
1. Detmer D, Bloomrosen M, Raymond B, Tang P. Integrated personal health records: transformative tools for consumer-centric care. BMC Med Inform Decis Mak. 2008;8:45. doi: 10.1186/1472-6947-8-45.
2. Ralston JD, Coleman K, Reid RJ, Handley MR, Larson EB. Patient experience should be part of meaningful-use criteria. Health Aff (Millwood). 2010;29(4):607-613. doi: 10.1377/hlthaff.2010.0113.
3. Ralston JD, Carrell D, Reid R, Anderson M, Moran M, Hereford J. Patient web services integrated with a shared medical record: patient use and satisfaction. J Am Med Inform Assoc. 2007;14(6):798-806. doi: 10.1197/jamia.M2302.
4. Tagalicod R. Stage 2: engaging patients in their health care. CMS website. cms.gov/eHealth/ListServ_Stage2_EngagingPatients.html. Published September 18, 2013. Accessed July 21, 2015.
5. Consumers and health information technology: a national survey. California HealthCare Foundation website. chcf.org/publications/2010/04/consumers-and-health-information-technology-a-national-survey. Published April 2010. Accessed July 21, 2015.
6. Yamin CK, Emani S, Williams DH, et al. The digital divide in adoption and use of a personal health record. Arch Intern Med. 2011;171(6):568-574. doi: 10.1001/archinternmed.2011.34.
7. Goel MS, Brown TL, Williams A, Hasnain-Wynia R, Thompson JA, Baker DW. Disparities in enrollment and use of an electronic patient portal. J Gen Intern Med. 2011;26(10):1112-1116. doi: 10.1007/s11606-011-1728-3.
8. Tang PC, Ash JS, Bates DW, Overhage JM, Sands DZ. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. J Am Med Inform Assoc. 2006;13(2):121-126. doi: 10.1197/jamia.M2025.
9. Goldzweig CL, Orshansky G, Paige NM, et al. Electronic patient portals: evidence on health outcomes, satisfaction, efficiency, and attitudes: a systematic review. Ann Intern Med. 2013;159(10):677-687. doi: 10.7326/0003-4819-159-10-201311190-00006.
10. Roblin DW, Houston TK 2nd, Allison JJ, Joski PJ, Becker ER. Disparities in use of a personal health record in a managed care organization. J Am Med Inform Assoc. 2009;16(5):683-689. doi: 10.1197/jamia.M3169.
11. Zhou YY, Kanter MH, Wang JJ, Garrido T. Improved quality at Kaiser Permanente through e-mail between physicians and patients. Health Aff (Millwood). 2010;29(7):1370-1375. doi: 10.1377/hlthaff.2010.0048.
12. Garrido T, Kanter M, Meng D, et al. Race/ethnicity, personal health record access, and quality of care. Am J Manag Care. 2015;21(2):e103-e113.
13. Krist AH, Woolf SH, Rothemich SF, et al. Interactive preventive health record to enhance delivery of recommended care: a randomized trial. Ann Fam Med. 2012;10(4):312-319. doi: 10.1370/afm.1383.
14. Lin CT, Wittevrongel L, Moore L, Beaty BL, Ross SE. An Internet-based patient-provider communication system: randomized controlled trial. J Med Internet Res. 2005;7(4):e47. doi: 10.2196/jmir.7.4.e47.
15. Lyles CR, Harris LT, Jordan L, et al. Patient race/ethnicity and shared medical record use among diabetes patients. Med Care. 2012;50(5):434-440. doi: 10.1097/MLR.0b013e318249d81b.
16. Hsu J, Huang J, Kinsman J, et al. Use of e-Health services between 1999 and 2002: a growing digital divide. J Am Med Inform Assoc. 2005;12(2):164-171. doi: 10.1197/jamia.M1672.
17. Sarkar U, Karter AJ, Liu JY, et al. Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access. J Am Med Inform Assoc. 2011;18(3):318-321. doi: 10.1136/jamia.2010.006015.
18. Epic Systems Corporation. Software: patient engagement. Epic website. epic.com/software#PatientEngagement. Accessed December 8, 2017.
19. Smith A. U.S. smartphone use in 2015. Pew Research Center website. pewinternet.org/2015/04/01/us-smartphone-use-in-2015. Published April 1, 2015. Accessed July 23, 2015.
20. Smith A. Mobile access 2010. Pew Research Center website. pewinternet.org/2010/07/07/mobile-access-2010. Published July 7, 2010. Accessed July 21, 2015.
21. Ralston JD, Martin DP, Anderson ML, et al. Group Health Cooperative’s transformation toward patient-centered access. Med Care Res Rev. 2009;66(6):703-724. doi: 10.1177/1077558709338486.
22. Jordan LL, Chang E, Kriekenbeck G, Ralston JD. Measuring the rise of mobile and online care: promises and challenges in big data. J Patient Cent Res Rev. 2015;2(2):115. doi: 10.17294/2330-0698.1138.
23. Smith A. Technology trends among people of color. Pew Research Center website. pewinternet.org/2010/09/17/technology-trends-among-people-of-color. Published September 17, 2010. Accessed November 13, 2015.
24. File T. Computer and internet use in the United States. Census Bureau website. census.gov/library/publications/2013/demo/p20-569.html. Published May 2013. Accessed July 23, 2015.
25. File T, Ryan C. Computer and internet use in the United States: 2013. US Census Bureau website. census.gov/library/publications/2014/acs/acs-28.html. Published November 13, 2014. Accessed July 24, 2015.
26. Sarkar U, Karter AJ, Liu JY, et al. The literacy divide: health literacy and the use of an internet-based patient portal in an integrated health system—results from the diabetes study of northern California (DISTANCE). J Health Commun. 2010;15(suppl 2):183-196. doi: 10.1080/10810730.2010.499988.
27. Lyles C, Schillinger D, Sarkar U. Connecting the dots: health information technology expansion and health disparities. PLoS Med. 2015;12(7):e1001852. doi: 10.1371/journal.pmed.1001852.
28. Lyles CR, Sarkar U. Health literacy, vulnerable patients, and health information technology use: where do we go from here? J Gen Intern Med. 2015;30(3):271-272. doi: 10.1007/s11606-014-3166-5.
29. Step 5: achieve Meaningful Use Stage 2: record demographics. HealthIT.gov website. healthit.gov/providers-professionals/achieve-meaningful-use/core-measures-2/record-demographics. Accessed July 24, 2015.