Nowadays all the leaders in all industries have neccesary needs to management researches to evidence based decision making and it is so important in healthcare because of the special characteristic of healthcare.
Yes, definitely. We do so in our Company, Fresenius Medical Care using external and internal research results. You can see from the list of my publications which topic we cover. Happy to discuss with you, should you like an in-depth review.
Absolutely. In fact, a lack of awareness about management science and operations management principles is one of root causes of inferior healthcare leaders' decisions.
Please see the following books and articles:
1. A. Kolker "Healthcare Management Engineering. Its Scope and Fundamental Principles" INFORMS-ANALYTICS, January-February, 2012:
2. A. Kolker. Springer_Briefs series in Healthcare Management & Economics "Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management in Healthcare Settings".
The primary goal of these materials is providing an overview of management science and business analytics for healthcare applications and summarizing some general management principles that play the role of laws of physics in natural sciences.
Evidence sometimes stands in the way of what managers want to do (I speak from the UK perspective). John Maynard Keynes said it all (substitute management for government, evidence-based for well informed) "there is nothing a government hates more than to be well-informed; for it makes the process of arriving at decisions much more complicated and difficult." For example, we have had several major re-organisations in our National Health Service without any heed to the research into the effects of previous ones. We are moving to a more market system despite international evidence that this multiple provides push up administration costs without any increase in quality.
Healthcare should be as evidence based as possible, be it clinical or managerial aspects. However, theory and practice don't always go hand in hand and one of the reasons is that management is highly situational.
Managers, at local settings, may be reluctant to make use of new knowledge when it's generalisation has not been validated. Perhaps researches can take a step further to design tools that managers can use to implement, or at least appraise, the new knowledge.
"The role of organisational structures, power relations, and cultural divides impacts upon the exchange of knowledge between groups. For example, some groups have strong knowledge paradigms of their own which are highly resistant to new forms of external knowledge. In other instances, patterns of clinical work across disciplines or work groups can support the sharing and blending of knowledge."
A recently published book, Blackett's War, provides an historical account of the introduction of scientific method (i.e., evidence-based decision making) to the British military just prior to and during World War II. It also provides an interesting case study of the issues highlighted above while demonstrating that those issues are neither new nor limited to healthcare and business.
One response that I believe has been under-utilized is greater and more appropriate formalization of the inter-personal aspects of decision making based on the information that has been identified as relevant to a decision. The amalgamation of U.S. intelligence efforts in the wake of 9/11 provides an example of how not to do it (i.e., appoint a czar and shuffle the organization chart) .
Yes. From my research I feel it is necessary to use them. For an example, my recent study on workload of public health nurses in Kerala state(province) of India found that public health administration does not consider the workload of its workers when it designs roles and responsibilities of the grass root level functionaries.
It is also true for the users. I have conducted research on health and family planning seeking behaviour. From the studies, I found that the health system always playing blaming game. For instance my study on the family planning seeking behaviour among the tribal communities was retitled as family planning behaviour among resistant communities by the administration. This shows how the health services see its users. We need to use all the research findings in to the healthcare practices.
using the research results to guide the managers in their decisions is necessary, but as I said as a guide! because all the decisions in management had a special characteristics and most be on the context!
Health Care industry is like any other industry with same organizational structure and management. Thus, using management research in decision making should work very fine!
Most managers and providers are overwhelmed with daily firefighting in their jobs. Few have the luxury of sitting back and pondering the new research in their field. If they did, what research should they study? We have an information explosion in almost every field. How do you select the right things to read and the few that deserve implementation. I am currently conducting research in appointment scheduling in healthcare. After reading over 200 articles on appointment scheduling and having many authors lamenting that practitioners don't use their research I am reminded of one particular recommendation: providers should take a course in the use of management science in scheduling (queuing theory, mathematical programming, simulation, etc.). Really... after medical school, residency, etc. you want providers to take a course in how to schedule or manage their practice. In a private medical practice, the business manager sees the provider schedule as the provider's responsibility BUT the provider just picks one schedule type and seldom gets feedback on its effectiveness. The provider is interested in providing medical treatment, not leadership. Management science must find simple but effective solutions to healthcare problems. See for example: Pride and Joy written by Alex Knight. It is a business novel written similarly to Goldratt's The Goal (which changed manufacturing). Knight has implemented theory of constraints concepts in healthcare for over two decades in the UK healthcare system and worldwide. His solutions are simple but highly successful AND led by the providers. If the providers do not support the healthcare solution it is doomed for failure.
I agree with James F. Cox that "Management science must find simple but effective solutions to healthcare problems" and "If the providers do not support the healthcare solution it is doomed for failure."
Hospitals Operations Management is a separate area of expertise based on operations research, simulations, etc. MD should not be required to master this stuff (they have enough medical problems treating patients) but they should have a basic understanding of management principles and solutions for their practice suggested by experts in this area.
A high level overview of management principles for healthcare is given, for example, in
"Management Science for Healthcare Applications."
DOI: 10.4018/978-1-4666-5202-6 In book: Encyclopedia of Business Analytics and Optimization., Edition: 1-st, Chapter: 131, Publisher: IGI-Global; http://www.igi-global.com/chapter/management-science-for-healthcare-applications/107339, Editors: John Wang, pp.1446-1456
ABSTRACT The intended readers of this chapter are primarily leaders of organizations and, particularly, hospital/clinic leaders who are trying to improve the efficiency of organization’s/ hospital’s operations using principles of business analytics and management science. The main goal of this chapter is providing an overview of business analytics and management science methodology and summarizing some general principles that play for operations management the role of laws of physics in natural sciences.
I saw a comment or two about the UK system, but the UK covers everyone and relatively efficiently, and if you want to really see inefficiency, an expensive "system" that does not cover everybody, was improved under President Obama regarding coverage, but has been fought by special interests which have convoluted everything, check out the US. The billing system is ridiculous. Good that we at least have Medicare for older people. The difference between what Medicare paid when I had a cardiac arrest and what the bills were showed, to me, more examples of padded bills. Yet with all the money that goes to inadequate health care in the US, rural hospitals are closing due to losing money. We pay more and get less than similarly situated countries. That's championship inefficiency.
And consider drugs. Many can't afford vital drugs, but we have an opioid crisis. Now you can get laser kidney stone surgery, with a stint, and often followed by unbelievable pain, but you are sent home saying "try tylenol." They are wary of opiods for legitimate purposes, just because a lot of money was made by selling a lot when it was obvious it was not legitimate.
Since this was posted in 2013 "Should healthcare industry leaders use management research in their decision making?" a new toy has appeared intended for the use in healthcare called "Artificial Intelligence (AI)/ Machine learning (ML)".
Now replace the terms "Management research/ Operations Research' by the new terms "AI/ML", and the entire above thread on the root causes of slow adoption this stuff in healthcare can be repeated now in 2019. See, for example,
posts by William Vorhies in Jan 2019 https://www.datasciencecentral.com/profiles/blogs/doctors-are-from-venus-data-scientists-from-mars-or-why-ai-ml-is-
"Why AI/ML is Moving so Slowly in Healthcare?" The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers. These range from cultural differences, to the failure of developers to really understand the environment they are trying to enhance, to regulatory and logical Catch 22s that work against adoption.
"The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field." Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow. A good portion of this problem is our own fault for failing to see the processes being disrupted through the eyes of the physician users. Here we lay out the healthcare opportunity landscape but for data scientists following classical disruption strategies, it may be more of a minefield .
"The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field" Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow. A good portion of this problem is our own fault for failing to see the processes being disrupted through the eyes of the physician users. Here we lay out the healthcare opportunity landscape but for data scientists following classical disruption strategies, it may be more of a minefield.
Yes, totally agree and it is a must because it all about managing people and organization, anyway. However, it should apply with higher degree of Moral and Ethic because the fundamental philosophy is "Health of People"