The
advent of prediction applications in the health sector is a shot in the arm for
hospitals and the medical team. Even highly specialized doctors face problems prescribing
treatment to patients suffering from chronic diseases. As a result, individuals
visit hospitals more frequently and medical insurance continues to rise. To
correct the problem, doctors analyze the medical history of the patient and
target only those individuals that are at serious risk of getting infected. For
others, low cost interventions could provide the same results.
Boosting the efficiency
of the medical care
Installing
a system based on artificial intelligence in hospitals has proven to be a boon
for users. Medical staff understands and streamlines the hospital workflow to
ensure optimum efficiency. Instead of providing highest-level care to each
patient, patients receive customized treatment according to their individual
problems. People suffering from multiple comorbidities gain access to top of
the line medical consultation. Doctors define their objectives regarding patients
and explain the situation in simple language devoid of medical jargons. At each
visit, medical staff focuses on problems that may lead to organ failure or even
death in the future.
Pressure Ulcer example
- Similarly, in case
of pressure ulcers, doctors can analyze historical data and decide whether
the patient will visit the clinic more often
- They plan prevention
strategies to eliminate the occurrence of emergency
- Therefore, the
doctors advise the patients to change the sleeping position on the bed
frequently to eliminate bed sores in the skin
- While administering
treatment, the medical consultant use evidence based medication to benefit
the health of the patients
- Studying the
treatment history of the individual will also provide valuable information
about the effectiveness of the prescribed medicines
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