262
Internet of Things (IoT)
to ensure the reliability and superiority of implementation. Paramedics can be trained
at medical college level itself for usage, maintenance, and upgradation of such as system
with ease.
Continuous monitoring of critical parameters along with right information is going to
reduce the anxiety of the patients. Car panel digital display of number of kilometers left
before the next gas station, laptop displaying the remaining MB of data in downloads
time, and cell phone showing the remaining battery charges in % are possible due to
continuous monitoring. These kinds of warnings reduce the anxiety of the users. Why
can’t they be adapted in healthcare? People need to know their health status in a way
they can understand and relate. The continuously monitored health data can be interpreted by the system in the same way for the physician to alert the patients before they
could end up with a major health risk. To enable this, tie-up between the certified physicians within the vicinity, patients, and IoT service providers is essential to bring personalized health monitoring and to start first aid treatment on emergencies even before the
ambulance arrives.
Awareness brings the higher quality need. It becomes easy to convince the patient on
early actions required like vaccination and other precautionary medications. We need to
exploit the technological capability to develop a well-informed patient and the physician
through different communication media such as email, SMS, message chat, voice chat,
and phone calls. Patients can be encouraged to start noting all the symptoms in the right
sequence, so that the exaggerations or miss-communication by patient to physician can be
avoided completely. We are heading toward that day when physician is able to provide best
possible personalized care, which can provide from symptomatic remedy, to cause-based
solution and prevention. Prognostication becomes a science instead of educated guess.
Above all, these situations can be handled by a trained paramedical worker, provided suitable EHR and wearable computational devices are available.
References
Ajami, S., Ketabi, S., Saghaeian-Nejad, S., Heidari, A. Requirements and areas associated with readiness assessment of electronic health records implementation. Journal of Health Administration
2011; 14: 71–8.
Black, E. 2016. Obamacare and the cost of gridlock. Available from: http://data.worldbank.org/indicator/SH.MED.BEDS.ZA?year high desc=false (accessed January 11, 2017).
Boonstra, A., Broekhuis, M. Barriers to the acceptance of electronic medical records by physicians
from systematic review to taxonomy and interventions. BMC Health Services Research 2010;
10: 231.
Castillo, V., Martinez Garcia, A., Pulido, J. A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: A systematic literature review. BMC Medical
Informatics and Decision Making 2010; 10: 60.
Chowdhary, N., et al. The content and delivery of psychological interventions for perinatal depression by non-specialist health workers in low and middle income countries: A systematic review.
Best Practice & Research. Clinical Obstetrics & Gynaecology 2014; 28(1): 113–33.
Clayton, M.C., Grossman, J.H., Hwang, J. 2009. The innovator’s prescription: A disruptive solution for
health care. New York: McGraw-hill.
Demographics of India. Available from: https://en.wikipedia.org/wiki/Demographics_of_India
(accessed January 11, 2017).
Internet of Things (IoT)
to ensure the reliability and superiority of implementation. Paramedics can be trained
at medical college level itself for usage, maintenance, and upgradation of such as system
with ease.
Continuous monitoring of critical parameters along with right information is going to
reduce the anxiety of the patients. Car panel digital display of number of kilometers left
before the next gas station, laptop displaying the remaining MB of data in downloads
time, and cell phone showing the remaining battery charges in % are possible due to
continuous monitoring. These kinds of warnings reduce the anxiety of the users. Why
can’t they be adapted in healthcare? People need to know their health status in a way
they can understand and relate. The continuously monitored health data can be interpreted by the system in the same way for the physician to alert the patients before they
could end up with a major health risk. To enable this, tie-up between the certified physicians within the vicinity, patients, and IoT service providers is essential to bring personalized health monitoring and to start first aid treatment on emergencies even before the
ambulance arrives.
Awareness brings the higher quality need. It becomes easy to convince the patient on
early actions required like vaccination and other precautionary medications. We need to
exploit the technological capability to develop a well-informed patient and the physician
through different communication media such as email, SMS, message chat, voice chat,
and phone calls. Patients can be encouraged to start noting all the symptoms in the right
sequence, so that the exaggerations or miss-communication by patient to physician can be
avoided completely. We are heading toward that day when physician is able to provide best
possible personalized care, which can provide from symptomatic remedy, to cause-based
solution and prevention. Prognostication becomes a science instead of educated guess.
Above all, these situations can be handled by a trained paramedical worker, provided suitable EHR and wearable computational devices are available.
References
Ajami, S., Ketabi, S., Saghaeian-Nejad, S., Heidari, A. Requirements and areas associated with readiness assessment of electronic health records implementation. Journal of Health Administration
2011; 14: 71–8.
Black, E. 2016. Obamacare and the cost of gridlock. Available from: http://data.worldbank.org/indicator/SH.MED.BEDS.ZA?year high desc=false (accessed January 11, 2017).
Boonstra, A., Broekhuis, M. Barriers to the acceptance of electronic medical records by physicians
from systematic review to taxonomy and interventions. BMC Health Services Research 2010;
10: 231.
Castillo, V., Martinez Garcia, A., Pulido, J. A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: A systematic literature review. BMC Medical
Informatics and Decision Making 2010; 10: 60.
Chowdhary, N., et al. The content and delivery of psychological interventions for perinatal depression by non-specialist health workers in low and middle income countries: A systematic review.
Best Practice & Research. Clinical Obstetrics & Gynaecology 2014; 28(1): 113–33.
Clayton, M.C., Grossman, J.H., Hwang, J. 2009. The innovator’s prescription: A disruptive solution for
health care. New York: McGraw-hill.
Demographics of India. Available from: https://en.wikipedia.org/wiki/Demographics_of_India
(accessed January 11, 2017).