As the country moves rapidly to achieve the Universal Health Coverage under the ambit of Ayushman Bharat, a Pradhan Mantri Jan Arogya Yojana (PM-JAY) programme, managing health records is going to be a key challenge for the healthcare providers. Because, the existing platform that generates patient healthcare records digitally – electronic medical records (EMRs) also known as electronic health records (EHRs) incorporating previous health history of patients including diagnosis and tests is inherently user restrictive and fragmented in nature.
Most of the EMR platforms that are in operation today are restricted to a particular healthcare provider. In addition, sharing of the details seamlessly between the healthcare providers and the patients is another challenge as only printed reports are handed out to the patients which cannot be transferred digitally. There is an absence of cross-functional platforms which can integrate both medical professionals and patients. Further these EMR platforms cannot communicate with each other, making a strong case for inter-portability which can ensure quicker and effective diagnosis and leads to appropriate treatment and personalized care. It reduces unnecessary investigations as well.
However, shifting technology frontiers has helped surmount these problems with disruptors developing intelligent cloud-based solutions to share EMR. Few private healthcare firms have developed cloud-based EMR platforms by consolidating their legacy EMR and practice management systems into the cloud. They are seeing tangible results already. Such platforms help sharing, processing and accessing data instantly from anywhere.
Given the countrywide spread of the healthcare facilities, implementation of EMR through software and hardware requires huge investment. Cloud-based EMR solutions are essentially cost-effective methods that facilitate real-time data collection, data storage and exchange between healthcare providers and medical professionals. Cloud infrastructure has high throughput and can store large volume of data which are key to efficient data analysis of large patients’ population. – ET Healthworld