Volume : VI, Issue : I, January - 2017
Real Time Predictive Analytics in Healthcare
Pratik Nichat, Ankit Shaw
Abstract :
In India, patients visit several health providers, throughout their life span, right from visiting a sub-centre, community-centre or primary-health centre in rural setups, or a general practitioner in his local vicinity, to a government /private hospital or clinic at the district, city, state or central level. Health records get generated with every clinical encounter during these ambulatory, inpatient or emergency visits. However, most health records are either lost, or remain in the custody of health care providers and eventually get destroyed, as per the retention period of medical records generally followed by hospitals in the country. There may be negligible to no health records maintained by some private practitioners, at clinic setups and by rural healthcare setups. Also, important clinical data is not available for research and for reference to aide in clinical decision support. Study of disease trends and statistical analysis of clinical nature also suffers. So what we lack today is a good Electronic Health Record System in our country, a system through which even a patient can maintain his records and access them from anywhere. Proper Records and statistical analysis on them can pave way for better preventive healthcare to patient.
Keywords :
Health records Private Clinics Rural setups Clinical data Statistical analysis Elecronic Health Record (EHR)
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DOI : https://www.doi.org/10.36106/gjra
Cite This Article:
Pratik Nichat, Ankit Shaw, Real Time Predictive Analytics in Healthcare, GLOBAL JOURNAL FOR RESEARCH ANALYSIS : Volume-6, Issue-1, January‾2017
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Pratik Nichat, Ankit Shaw, Real Time Predictive Analytics in Healthcare, GLOBAL JOURNAL FOR RESEARCH ANALYSIS : Volume-6, Issue-1, January‾2017