Recently Diagnosed or Relapsed? Stop Looking For a Miracle Cure, and Use Evidence-Based Therapies To Enhance Your Treatment and Prolong Your Remission
Multiple Myeloma an incurable disease, but I have spent the last 25 years in remission using a blend of conventional oncology and evidence-based nutrition, supplementation, and lifestyle therapies from peer-reviewed studies that your oncologist probably hasn't told you about.
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E-Patients Managing Myeloma!?
E-patients managing myeloma!? How does the internet, online MM groups, electronic patient records, etc., benefit newly diagnosed MM patients, survivors, and caregivers?
Consider your diagnosis of MM, say, 30 years ago. If you’re like me, you have never heard of MM, you know nothing about this cancer, and you don’t know anyone who has MM (or almost no one). You’re lost and probably downright scared. Again, like me…
Now, consider your diagnosis of MM today. You can turn to your PC, cell phone, etc. learn the basics of MM (I know, I know, Dr. Google can be scary…), communicate with fellow MM patients and caregivers, read studies about the health plan suggested by your oncologist, even have an appointment with your oncologist…online.
I’m not saying that the many high-tech techniques are intuitive, but they are available to you. Even if you turn to your grandson/daughter to use the internet to do the above for you, they are available. E-patients managing myeloma have an easier time than the NDMM patient did 30 years ago.
E- HEALTH PATIENT & THE INTERNET
Granted, online MM groups post largely anecdotal information, which probably doesn’t apply to you. And yes, Dr. Google can be scary.
I am a long-term MM survivor. I was diagnosed with MM in early 1994. I had two sources of MM information. The library and my oncologist. Online info about MM is all around us today.
Email me at David.PeopleBeatingCancer@gmail.com if you have questions about how to use the internet to help you manage your MM.
David Emerson
- MM Survivor
- MM Cancer Coach
- Director PeopleBeatingCancer
From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients
Abstract: This paper will view the rise of the e-patient, who is “equipped, enabled, empowered, and engaged” through the lens of the evolution of successive digital technology innovations, each building on its predecessors, creating new tools for patient empowerment.
We begin with the dawn of the web and the proliferation of health websites and discuss the use of digital communication tools. We then discuss the adoption of electronic health records, which enabled the rise of patient portals.
This digitization of health data, along with the rapid adoption of mobile internet access and the proliferation of health-related smartphone apps, in turn, provided a platform for patients to coproduce health care by contributing their own health data to their self-care and health care.
The exchange of health information between patients and providers has also been facilitated by telehealth or telemedicine technology, which enables direct care delivery. The use of social networks in health, in use since the early days of the web, has expanded since COVID-19, when public health authorities worldwide, as well as patients, sought the use of social media channels to get connected and share information.
Most recently, artificial intelligence and large language models have emerged with yet untapped potential to provide patients with the information that could improve their understanding of their conditions and treatment options. We conclude that innovations in digital health technology have symbiotically evolved with the ascendance of the e-patient, enabling improved communication, collaboration, and coordination between patients and clinicians and forging a health care system that is safer and more responsive to patient needs…
Table 1. Technologies and their impact on e-patients.
| Technology | e-Patient impact |
| World Wide Web |
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| Social networking |
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| Electronic health records |
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| Patient portals |
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| Smartphones |
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| Patient-generated health data |
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| Telemedicine |
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| Artificial intelligence |
|
E-patients managing myeloma E-patients managing myeloma