Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-c4f8m Total loading time: 0 Render date: 2024-04-24T00:55:20.869Z Has data issue: false hasContentIssue false

Conclusion

Published online by Cambridge University Press:  30 December 2016

Sharona Hoffman
Affiliation:
Case Western Reserve University School of Law, Ohio
Get access

Summary

Electronic health record (EHR) systems hold great promise for improved patient care, but thus far they have not yet fulfilled their potential. The United States is not alone in facing EHR system implementation hurdles. In 2002, England's National Health Service launched an ambitious “National Programme for IT” designed to create a national EHR system for the United Kingdom. In 2011, the British government announced that the program was being dismantled because of delays and budget problems. Nevertheless, in 2013, the UK Health Secretary announced a new “paperless NHS” project whose target completion date is 2018. Likewise, in 2011 the Dutch Parliament rejected legislation to establish a national federated EHR system because of privacy concerns, but in 2013 the national information exchange became fully operational after these concerns were addressed. Indeed, the vast majority of medical practices in the United Kingdom, the Netherlands, the United States, and other developed countries use EHR systems, however imperfect.

Because contemporary EHR systems suffer from many shortcomings, the medical big data that they produce is also often flawed. Data-quality problems can compromise the value of databases for scientific research, quality assessment, public health, and other purposes.

Robert Wachter, author of The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine's Computer Age, imagines a future of optimally effective EHR systems. He describes them as follows:

Computerized decision support for clinicians will … be taken to a new level. While physicians will still be ultimately responsible for making a final diagnosis, the EHR will suggest possible diagnoses for the physician to consider, along with tests and treatments based on guidelines and literature that are a click or a voice command away. Color-coded digital dashboards will show at a glance whether all appropriate treatments have been given …

Big-data analytics will be constantly at work, mining the patient's database to assess the risk of deterioration (infection, falls, bedsores, and the like) before such risks become clinically obvious. These risk assessments will seamlessly link to the dashboards, suggesting changes in monitoring, staffing, or treatments when a patient's risk profile changes.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Conclusion
  • Sharona Hoffman
  • Book: Electronic Health Records and Medical Big Data
  • Online publication: 30 December 2016
  • Chapter DOI: https://doi.org/10.1017/9781316711149.010
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Conclusion
  • Sharona Hoffman
  • Book: Electronic Health Records and Medical Big Data
  • Online publication: 30 December 2016
  • Chapter DOI: https://doi.org/10.1017/9781316711149.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Conclusion
  • Sharona Hoffman
  • Book: Electronic Health Records and Medical Big Data
  • Online publication: 30 December 2016
  • Chapter DOI: https://doi.org/10.1017/9781316711149.010
Available formats
×