We Indians
still facing challenges in providing
last mile health care delivery. Why?
- Personality challenges: lack of hygienic behavior, careless attitude of citizens.poor adherence to vaccination programs and addiction for smoking,alcohol and drugs.
- Social challenges: gender discrimination, childhood marriages, poverty, illiteracy and bad banking.
- Disease challenge: Dual disease burden. Rampant vector borne infectious diseases&malnutrition and lifestyle diseases.
- Accessibility : Rural areas lacks connectivity and deficit of inclusive economy. No roads, no INTERNET and no infrastructure and no specialist doctors and no nurses¶medics. Lack of proper healthcare centers,testing labs and medical facilities.
- Affordability : unequal distribution of economy, corporatization of health care, less funding from govt and rampant pilferage of resources and no monitoring and accountability.
- poor quality of care: Due to rampant uncontrolled mushrooming of quacks,antibiotic&steroid abuse,spurious drugs and unethical practices of doctors.
Technology can help the
rural population by providing diagnostic facilities, therapeutic knowledge and
preventive and predictive technology in health care. Predictive modeling of
diagnosis data and patient health record will help in identifying and
preventing disease outbreak.
AI based applications can be extremely helpful in preliminary
diagnosis.
Decentralization of
diagnostic testing needs to be inculcated through AI based diagnostic technology.
Diagnoses that occur in real-time, provide higher levels of accuracy, operable
by low skill level employees, all at an affordable price, have the probability
to completely turn around clinical diagnostics.
Rapid diagnostic tests, through
the aid of AI enabled technology, have had a significant impact on screening
for malaria and HIV.
Detection of diabetic retinopathy in India
is a major challenge, which can be solved through incorporation of Artificial Intelligence. AI
Technology can help doctors collect images of retina of diabetic patients and
then run them through machines which can quickly scan the images and arrive at
a collection of data. AI specialists can derive a pattern from the data and
write algorithms to detect the dormant signs of the disease, ensuring an early
diagnosis and prevention of the disease amongst diabetics.
video-consultation,teleradiology are two recent tools delivering excellent service to remote area patients.
Artificial Intelligence,
with its ability to process data in a speedy fashion, revolutionizes health care
for the future. Alongside, helping to make new discoveries, they also help
doctors detect embedded/dormant signs of diseases that may manifest in some
patients. Having AI enabled system as a backup helps reduce medical errors and
increases productivity of medical professionals.
From microscopes to MRI machines, helming the current scenario of health centres. The main
drivers of technology today and in the future, surely are smartphones, big data and
most importantly,artificial intelligence (AI).
Comments
Post a Comment