I found recently an interesting McKinsey & Company article related to healthcare IT and good old Lean – concept. In the late 1990´s and early 2000 Lean was a major theme for industrial companies to improve their business processes. Lean is a method for the elimination of waste within a manufacturing process. Lean also takes into account waste created through overburden and waste created through unevenness in work loads . Essentially, lean is centered on making obvious what adds value by reducing everything else.
During the past 15 years I have seen multiple healthcare IT start-up companies been built and constructed that can actually create more value and reduce waste. The obvious challenge in public healthcare is that where do you actually put the waste? The political decision making around the healthcare system is not rational and there after difficult to by pass in reasonable time. Increased efficiency will not realize, because the infrastructure is protected and every individual has a position for a life time. Still this article is worth of reading!
The article can be found here: http://www.mckinsey.com/insights/business_technology/Applying_lean_IT_to_healthcare?cid=other-eml-alt-mip-mck-oth-1501
The healthcare sector is going through fundamental technology-enabled changes in the way care is delivered, how providers interact with their patients, and how payments are made.1 To take advantage of digital technology and create more effective systems that help health professionals deliver better care, providers are moving rapidly toward becoming digital enterprises. For example, they are borrowing lessons from e-commerce leaders on how to acquire and retain patients through data analytics and from manufacturing entities on managing patient throughput and optimizing clinical supply chains. Providers are also leveraging apps on smartphones to engage patients remotely in new ways that improve outcomes, and they are using digital technologies to support clinical decisions and streamline hospital operations. In this way, the adoption of more sophisticated analytics has simplified processes and significantly reduced manual workloads.