Apollo Hospitals attain 3 HIMSS Stage 6 digital maturity assurances

Health and Wellness Informatics News

Apollo is now the second hospital in the world to achieve a Stage 6 DIAM credential.

With head offices in Chennai, Apollo Hospitals has attained Stage 6 assurance for 3 HIMSS digital maturity models. The models are the Infrastructure Adoption Model, the Outpatient Electronic Medical Record Adoption Model, and the Digital Imaging Adoption Model. DIAM evaluates the safe delivery of clinical imaging and related procedures. O-EMRAM assesses the EMR technology maturity in outpatient capabilities.

And INFRAM gauges the maturity of IT infrastructure across five regions. The areas include data center, transport, collaboration, security, and mobility. For example, Apollo Hospitals has operations in more than 70 private health centers with over 12,000 beds in Asia. They recognize the serious scarcity of delivery infrastructure of healthcare globally.

Joint Managing Director Dr. Sangita Reddy noted that deploying useful technology is the only option to fulfill this requirement in healthcare. The organization noted that it made substantial improvements in deploying mental algorithms in its pathways and treatment protocols. During the DIAM assurance, Apollo Hospitals got approval for its utilization of mapping software, molecular imaging, and biomarkers.

It also displayed finesse in utilizing dashboards and graphs to manipulate and understand data. Apollo Hospitals also noted no random rest in the last five years. HIMSS digital maturity models stated that this indicates the hard work they did in IT protection. Apollo Hospitals has become the globe’s second hospital to attain Stage 6 DIAM. Apollo Hospitals launched a combined reality program in March named ProHealthDeepX.

It utilizes the Microsoft HoloLens 2 to exhibit how the risk factor of a patient for cardiovascular illness influences their heart. This happened last year after the release of its AI-powered Cardiovascular Disease Risk device. They made the device utilizing data from more than 400,000 patients in India. The AI device provides the risk score of a patient.

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