Wednesday, January 19, 2022

g-f(2)832 THE BIG PICTURE OF THE DIGITAL AGE (1/19/2022), HBR, How Digital Transformation Can Improve Hospitals’ Operational Decisions




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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageDigital Transformation, How Digital Transformation Can Improve Hospitals’ Operational Decisions (1/19/2022)  g-f(2)426 


Opportunity, HBR

EXCEPTIONAL “Full Pack Golden Knowledge Container”


How Digital Transformation Can Improve Hospitals’ Operational Decisions


  • Given the aging population, prevalence of chronic conditions, and advances in medicine, it has become more important than ever for hospitals to operate efficiently and effectively. Going forward, the key to improving operational decision-making will lie in their ability to leverage digital transformation.
  • Here are four key areas where hospitals can leverage digital transformation to improve operational decision-making:
    1. Patient Flow
    2. Staffing
    3. Scheduling
    4. Supply Chain Management


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References



ABOUT THE AUTHORS


Song-Hee Kim


Song-Hee Kim is an associate professor of operations management at the SNU Business School at Seoul National University. Her research focuses on data-driven decision-making within health care systems, especially how to design human-algorithm interactions to improve quality, efficiency, and access to care in hospitals.


Hummy Song


Hummy Song is an assistant professor of operations, information, and decisions at the University of Pennsylvania’s Wharton School. Her research focuses on how operations can be designed to help health care providers work more efficiently and effectively.



Extra-condensed knowledge



Lessons learned, HBR


To make this type of digital transformation possible 

Golden Knowledge (GK) Juice


  • To make this type of digital transformation possible, hospitals must be intentional in the way they collect data and interact with their information technology systems. We have three prescriptions for how to go about this.
    1. Collect the right data in the right format.
      • Start by identifying the pain points and the low-hanging fruit. When and where is data still collected and communicated offline? Can the fax become automatically captured and recorded in the electronic medical record (EMR) system? Can phone calls and text messages be reduced and replaced by electronic communications via the EMR?
    2. Set yourself up for scalability and interoperability.
      • From the outset, design the data-collection system with scalability and interoperability (the ability of different IT systems or equipment to exchange and make use of data) in mind. Standardize the input formats to minimize (or eliminate) the need for data cleaning and to enhance the quality of inputs into algorithms. Familiarize yourself with the four levels of interoperability and the established interoperability standards to set up a system that will facilitate health information exchange and data sharing.
    3. Don’t lose sight of the human-algorithm interaction.
      • While algorithms can produce helpful predictions and recommendations, ultimately the decision-maker is the human. As a result, we must be cognizant of the widespread nature of algorithm aversion by decision-makers and aim to develop algorithms that are fair, explainable, prevent harm, and respect human autonomy so that the decision-maker can trust the algorithms. Furthermore, creating superb algorithms alone cannot improve hospital operations. Algorithms need to be carefully designed, implemented, and evaluated with the user in mind.


Condensed knowledge




Lessons learned, HBR


Essential knowledge 

Golden Knowledge (GK) Juice


  • Many companies are interested in digital transformation — using digital technologies to create or modify business processes, culture, and customer experiences — to grow and stay ahead of the competition, and hospitals are no exception.
  • When people think about digital transformation in health care, they tend to focus on the idea of employing analytics to improve clinical decision-making. For example, with advances in computational science and machine learning, it’s become possible to deliver precision medicine, where therapies and interventions are tailored to each patient based on the individual’s genetic profile. Artificial intelligence (AI) algorithms are increasingly being used to improve the visual detection of signs of disease in fields such as radiology, dermatology, gastroenterology, ophthalmology, and pathology.
  • However, focusing on leveraging digital transformation solely to improve clinical decision making would be a mistake. Based on our research and that of others as well as the burgeoning advances in how hospitals are using data and technology, we believe that digital transformation has a substantial role to play in optimizing hospitals’ operational decision-making, which in turn can lead to improvements in the quality and efficiency of care and patients’ access to it.


Some relevant characteristics of this "genioux fact"

  • Category 2: The Big Picture of the Digital Age
  • [genioux fact deduced or extracted from HBR]
  • This is a “genioux fact fast solution.”
  • Tag Opportunities those travelling at high speed on GKPath
  • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
  • Type of validity of the "genioux fact". 

    • Inherited from sources + Supported by the knowledge of one or more experts + Supported by research.


References


“genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)832, Fernando Machuca, January 19, 2022, blog.geniouxfacts.comgeniouxfacts.comGenioux.com Corporation.


ABOUT THE AUTHORS


PhD with awarded honors in computer science in France

Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a disruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts"The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.




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