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Manorama Infosolutions is a Pioneer for Integrated IT Solutions, serving the Global Healthcare Industry. Backed with strong team resources and domain expertise we have developed Innovative solutions addressing patient safety along with quality of healthcare delivery. We emphasize on providing healthcare solutions rather than ready products. Our exclusive Healthcare solutions are based on research and development of 15 yrs with product line adopting variance in technology innovation. We have solutions ranging from Inline architecture to cloud platform handling mobile/portable devices.
We have designed our solutions on the lines of WHO compliances, which are extremely secure and work in emergency/critical area of the society. Hence, we have secure Apps, architecture on HL-7 protocol & HIPPA compliances. As a healthcare company we have worked with the region specific healthcare protocols. We have successfully introduced our Solutions in India, Middle East & African continents with respective guidelines as stated by their governments.
Our journey so far has established our entity in patient centric solutions, Telemedicine solutions, E-health services, Individual or Enterprise environment. Way forward we have already marked our footprints in National repository, Predictive Analytics & with Big customer Database structured with Big Data for Global Research & Development.
Lifeline E-Clinic Enterprise Solution consolidates data at various levels of hospital engagements, multiple hospital care, administrative units such as financial, clinical, patient demographics & analytics. It is a comprehensive & integrated ERP for Hospital Management available on the web. The web-based system caters to Appointment, Registration,OPD, LIS, RIS, IPD, OT, Billing, back office modules along with an e- claim system, which is a must for efficient & effective management of a Healthcare Entity. Our solution enables connectivity among various locations and branches offering consolidation of data, Interoperability of systems, Integration of machines resulting in a real time presentation of Big Data for Healthcare.