Technology Tools and Trends for Better Patient Care: Beyond the EHR
From remote monitoring of chronic diseases to virtual assistants in the exam room, technology will improve practice.
Fam Pract Manag. 2017 Sep-Oct;24(5):28-32.
Author disclosures: no relevant financial affiliations disclosed.
For many physicians, health information technology (IT) begins and ends with their electronic health record (EHR) system, a product that may not generate much satisfaction for them. The rocky road to EHR implementation may have colored some physicians' perceptions of health IT, but electronic tools are getting more intuitive and useful by the day. Encouraging developments in many sectors of health IT have the potential to expand the reach and capabilities of family physicians immediately and in the near future. This article highlights some health IT trends that promise to improve patient care now and in the near future.
Patient portals and patient-generated health data
Medicare's meaningful use program and the new Quality Payment Program have helped drive the adoption of patient portals, but most practices are still learning how to optimize them. When fully implemented as part of everyday workflows, patient portals can help practices serve and communicate with patients at any time, even outside regular office hours. Making information readily available through a portal or secure messaging for patients and their families can promote adherence to treatment regimens and care planning.1 These capabilities can also help you keep revenue within your practice by avoiding penalties and earning incentives under Medicare and other value-based or direct primary care payment models. Portals also help motivated patients be more engaged in their care, which can give them more control over their medical conditions and reduce their long-term out-of-pocket costs.2,3 Most data currently flows from the practice to the patient portal, but as patients generate more of their own health data through such things as wearable devices or remote patient monitoring (more on these trends later), we expect to see them submitting that data to portals more often.
Telemedicine and telehealth
Although telemedicine in its traditional form still exists, the acceptance and prevalence of virtual visits and e-consults are redefining the term and changing the face of the technology, which typically includes webcams (for synchronous visits), telehealth software, and sufficient Internet speeds. Outside of rural and undeveloped areas, virtual visits once were conducted solely between direct-to-consumer national telehealth service organizations dealing with
Referencesshow all references
1. Robert Wood Johnson Foundation. Lessons Learned: The Value of Personal Health Records and Web Portals to Engage Consumers and Improve Quality. 2012. http://www.rwjf.org/content/dam/farm/reports/issue_briefs/2012/rwjf400251. Accessed August 2, 2017....
2. Nagykaldi Z, Aspy CB, Chou A, Mold JW. Impact of wellness portal on the delivery of patient-centered preventive care. J Am Board Fam Med. 2012;25(2):158–167.
3. James J. Health policy brief: patient engagement. Health Aff (Millwood). 2013;32(2):1–6.
4. Kosowsky J, Prewitt E. Q&A: How telehealth is just getting started. NEJM Catalyst website. http://catalyst.nejm.org/qa-telehealth-technology-just-getting-started. October 24, 2016. Accessed July 18, 2017.
5. Teladoc sets record with 100,000 visits during November. Teladoc website. http://bit.ly/2uFTPJl. December 6, 2016. Accessed July 18, 2017.
6. Herman B. Virtual reality: more insurers are embracing telehealth. Mod Healthc. 2016;46(8):16–19.
7. Japsen B. Most employers paying for doctor telemedicine visits. Forbes website. http://bit.ly/2wNzxv0. October 28, 2016. Accessed Aug. 15, 2017.
8. Smith A. Record shares of Americans now own smartphones, have home broadband Pew Research Center website. http://www.pewresearch.org/fact-tank/2017/01/12/evolution-of-technology. Published January 12, 2017. Accessed July 18, 2017.
9. Kumar RB, Goren ND, Stark DE, Wall DP, Longhurst CA. Automated integration of continuous glucose monitor data in the electronic health record using consumer technology. J Am Med Inform Assoc. 2016;23(3):532–537.
10. DirectTrust website. DirectTrust metrics 1st quarter 2017. http://bit.ly/2tnzIPP. Accessed July 18, 2017.
11. Peng L, Gulshan V. Deep learning for detection of diabetic eye disease. Google Research Blog https://research.googleblog.com/2016/11/deep-learning-for-detection-of-diabetic.html. Published Nov. 29, 2016. Accessed July 18, 2017.
12. Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks [published correction appears in Nature. 2017.] Nature. 2017;542(7639):115–118.
Copyright © 2017 by the American Academy of Family Physicians.
This content is owned by the AAFP. A person viewing it online may make one printout of the material and may use that printout only for his or her personal, non-commercial reference. This material may not otherwise be downloaded, copied, printed, stored, transmitted or reproduced in any medium, whether now known or later invented, except as authorized in writing by the AAFP. Contact firstname.lastname@example.org for copyright questions and/or permission requests.
Want to use this article elsewhere? Get Permissions
More in FPM
Related Topic Searches
MOST RECENT ISSUE
Access the latest issue
of FPM journal