Cloud Enabled Standard Electronic Health Record Architecture for Indian Healthcare Sector

Ganiga, Raghavendra; Pai, M. Radhika; Pai, M. M. Manohara; Sinha, Rajesh Kumar

doi:10.5958/0976-5506.2017.00398.9

Cited by 3 publications

(2 citation statements)

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“…Accordingly, NDHB draft was placed for the public domain for comments. The model of the EHR proposed is complying with guidelines outlined in the NDHM document as per EHR minimum dataset requirement (Ganiga et al 2017(Ganiga et al , 2020. This EHR will allow the healthcare facility from primary up to tertiary level to capture and share patient data without any restriction and in a secure manner.…”

Section: Need For Electronic Health Records In Indian Hospitalsmentioning

confidence: 99%

Standard electronic health record (EHR) framework for Indian healthcare system

Pai

Ganiga

Pai

et al. 2021

Health Serv Outcomes Res Method

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Digitization of health records in public health facility and its instant availability in the form of electronic records anywhere any time health service is yet to be implemented in developing nations like India and other countries. In India, patient care is mainly delivered through 3 levels namely Primary/Community Healthcare Centre (PHC/CHC), Secondary healthcare centre (District Hospital), and Tertiary Healthcare Centre (National level). The healthcare facilities face many challenges in collecting, processing, and storing these data and managing it without compromising security and privacy. Presently, some of the secondary and tertiary care facilities have started implementing healthcare IT application in terms of Hospital Information System, Hospital Management Information System, Electronic Medical Records (EMR) etc. to manage the patient data in electronic format. However, these systems are developed by different vendors by using different programming languages and databases. This approach makes the system unique but the patient details remains in the same hospital and cannot be shared with other hospitals when patient moves from one hospital to other for advanced or specialized treatment. This is because the data is not interoperable and semantic. In the proposed work, a standard secure Electronic Health Record(EHR) framework is developed using standard medical terminology and coding standards. Implementation of EHR framework for Indian health system will improve the work-flow of health services to the population. EHR at all levels of healthcare system enable efficient and continuous care to the patient.

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Section: Need For Electronic Health Records In Indian Hospitalsmentioning

confidence: 99%

Standard electronic health record (EHR) framework for Indian healthcare system

Pai

Ganiga

Pai

et al. 2021

Health Serv Outcomes Res Method

Self Cite

View full text Add to dashboard Cite

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“…One such initiative was taken in this study to develop an EHR for all levels of public health system. [ 8 9 ] This EHR will allow the healthcare facility from primary up to tertiary level to capture and share patient data without any restriction and in a secure manner. [ 10 ] Figure 1 represents the flowchart and functioning of the developed EHR.…”

Section: Introductionmentioning

confidence: 99%

A preliminary study of real-time capturing and sharing of routine health data among the public health professionals

Ganiga

Pai

et al. 2020

Indian J Community Med

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Context: Electronic health record (EHR) has the potential to make available the real-time data of the patient to the healthcare professionals by connecting all levels of the public health system, irrespective of their geographical boundaries. Aim: This study aims to test the capturing and sharing of real-time patient data at primary, secondary, and the tertiary level. Settings and Design: The cloud-based EHR system developed earlier was used to capture real-time data of the patient visiting a primay health center (PHC) in Udupi District of Karnataka. Subjects and Methods: About 100 patient records including laboratory and pharmacy data have been captured into the EHR system. The confidentiality of patient data is assured. Results: The result of the study indicated no errors while capturing and sharing the patient data in real time. The system also evidenced the availability of vital statistics about the patient visiting PHCs. The system also allowed the professionals at referral level to view patient data for providing quality healthcare. Conclusion: EHR plays a vital role in capturing, storing, and sharing patient data for providing quality healthcare and it should be made mandatory by the central health agencies in the provision of patient care and reporting of notifiable communicable diseases at all levels.

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