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4 Strategic Considerations for Digital Hospital Transformation
Digital Hospitals harness AI and analytics within their connected infrastructure to turn data from devices and workflows into actionable insights. Operating Rooms (ORs), intensive care units (ICUs), emergency rooms (ERs), and laboratories of a bustling hospital, along with all patient and provider touchpoints, are rich with data. This readily available information can be captured, analyzed, and leveraged in a digital hospital. Implementing AI, IoT, edge computing, and other innovations through digital transformation (DX) efforts can help hospital executive teams improve patient and provider experiences.A digital hospital is one of the most demanding DX-proving grounds imaginable: it is a perfect storm of need, opportunity, and risk that typically plays out against a daily backdrop of life-or-death stakes. These institutions are integrating new tools such as AI imaging, edge computing, and lab automation to provide more efficient and personalized patient care. It must all be done to the exacting standards of regulatory requirements, insurance coding, and clinicians working in high-volume, high-pressure, and high-cost environments.
Medigy Insights
In the quiet hours of the night, hospital executives toss and turn, grappling with the daunting reality of staffing shortages that plague their institutions. Challenges like these fuel passion and ingenuity for innovation and drive the community to harness the power of technology to find fit-for-purpose and impactful solutions. Hospitals are working closely with healthcare and life science ecosystems to collaborate on new solutions – beginning with data management.The above steps are easier said than done, especially considering the slim operating margins that many hospitals operate within. This financial pressure intensifies the need to justify investments and select modernization projects that offer the most significant economic benefits. This pressure to make the best strategic investments is amplified further for public sector providers dealing with mass volumes of patients and data where legacy systems and funding gaps are more common.
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