In this time of tremendous global change, an emphasis has been put on digital businesses and the need for transformation. As social distancing and shelter-in-place orders have become the norm, it’s clear that we are experiencing a paradigm shift. For companies and healthcare providers across the world, this change further highlights the need to go digital. As the world emerges from restrictive access to healthcare, the need to provide timely access to care has never been more important.
Imagine having the ability to detect cancerous tissue within 10 seconds via a pen-shaped device, or the ability to receive an organ donation on-demand via a 3D printer. These scenarios are becoming a reality, as the frontend of healthcare technology brims with possibility.
Drug prices for Americans under 65 are projected to rise more than 11% in 2017. For consumers and health insurance companies, this is a real challenge as prescription drugs account for 10% of all healthcare spending in the United States. In an increasingly competitive landscape, where consumers can compare and choose cheaper drugs and where insurers want to pay less, pharmaceutical companies are feeling pressure to drive down costs.
IT is at the center of many initiatives designed to reduce the cost of developing and bringing new drugs to market,
Leveraging Predictive Analytics to Lower 30-Day Re-admit Rates
Sutter Health is a not-for-profit health system serving more than 100 communities in Northern California. Each year, its 5,000 physicians care for more than 10 million outpatient visits and discharge more than 200,000 in-patients.
As healthcare systems transition from “fee for service” to “fee for value” reimbursement models, there is an increasing focus to drive down 30-day re-admission rates,
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