scholarly journals Understanding value in a healthcare setting: An application of the business model canvas

2021 ◽  
Vol 14 (3) ◽  
pp. 205979912110504
Author(s):  
Jovana Sibalija ◽  
David Barrett ◽  
Mathushan Subasri ◽  
Lisa Bitacola ◽  
Richard B Kim

The business model canvas is a popular tool used to develop value-driven business models. Specific emphasis is placed on understanding what customers value and providing users with steps on how to design and deliver value for their customers. In health care, creating and delivering value for patients is an often-discussed topic, with the provision of patient-centered care becoming a standard for many health care organizations. While patients play a key role in determining value, providers are the key to delivering value. Therefore, effective health care management relies on integrating multiple perspectives from key stakeholders. This process requires consideration of the key needs that must be addressed, the resources and capabilities necessary to meet these needs, and the interests and values specific to each set of stakeholders. The business model canvas lends itself well to health care service planning as it incorporates the factors described above into the business model’s conceptualization and subsequent realization. This article outlines how the business model canvas was applied to assess the needs of physician stakeholders to help guide the expansion of a pharmacogenomic-based precision medicine clinic that conducts genetic testing for patients at risk of experiencing adverse drug reactions. The article provides a detailed description of how the business model canvas was used and adapted to understand physician’s responsibilities and challenges related to drug prescription and dosing, and how the clinic could address physician needs and create value by mapping clinic services onto physician needs and wants. Interviews were conducted with physicians and the data were analyzed following the recommendations of the developers of the business model canvas. The article examines the strengths and limitations of the business model canvas and discusses its applicability to a health care setting.

2013 ◽  
Vol 19 (6) ◽  
pp. 1054-1059 ◽  
Author(s):  
Mathew Mercuri ◽  
Stephen Birch ◽  
Amiram Gafni

2021 ◽  
Author(s):  
Chao Che ◽  
Yongxue Shan ◽  
Yongjun Zhu ◽  
Chao Che ◽  
Xiaopeng Wei

BACKGROUND Large amounts of health care data are being generated in China every day, given the emergence of multiple online health care service platforms. Many studies have been conducted to improve the quality of health care services using the platforms’ ever-increasing data. OBJECTIVE We aimed to gain a better understanding of how rich data have been utilized to address various health care problems by systematically reviewing relevant studies and organizing them into multiple research themes. METHODS We took Good Doctor Online as a case to provide a detailed review of the characteristics of typical online health care service platforms and studied how to utilize the platform data for various research tasks. Specifically, we reviewed major data attributes and relevant studies from multiple perspectives, including data analysis methods and research problems. RESULTS A total of 275 titles or abstracts were assessed for eligibility, and 56 full-text papers were retrieved for detailed evaluation. We found that the methods used in previous studies could be divided into statistical, machine learning, and deep learning methods. More importantly, we grouped the reviewed studies into three research themes and then divided them into multiple research problems separately. CONCLUSIONS The paper provides a meaningful research framework for the community. It also discusses the challenges of effective utilization of online health care service platform data in China and promising research directions.


2009 ◽  
Author(s):  
D. M. Janicke ◽  
J. S. Harman ◽  
K. J. Kelleher ◽  
J. Zhang

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 380-384
Author(s):  
Priyanka Paul Madhu ◽  
Yojana Patil ◽  
Aishwarya Rajesh Shinde ◽  
Sangeeta Kumar ◽  
Pratik Phansopkar

disease in 2019, also called COVID-19, which has been widely spread worldwide had given rise to a pandemic situation. The public health emergency of international concern declared the agent as the (SARS-CoV-2) the severe acute respiratory syndrome and the World Health Organization had activated significant surveillance to prevent the spread of this infection across the world. Taking into the account about the rigorousness of COVID-19, and in the spark of the enormous dedication of several dental associations, it is essential to be enlightened with the recommendations to supervise dental patients and prevent any of education to the dental graduates due to institutional closure. One of the approaching expertise that combines technology, communications and health care facilities are to refine patient care, it’s at the cutting edge of the present technological switch in medicine and applied sciences. Dentistry has been improved by cloud technology which has refined and implemented various methods to upgrade electronic health record system, educational projects, social network and patient communication. Technology has immensely saved the world. Economically and has created an institutional task force to uplift the health care service during the COVID 19 pandemic crisis. Hence, the pandemic has struck an awakening of the practice of informatics in a health care facility which should be implemented and updated at the highest priority.


Author(s):  
Sean G. Sullivan

Impulse control disorders (ICDs) and conditions with impulse control features provide a challenge in terms of identification, treatment, and follow-up when mental health specialists are in short supply. Medical settings, in particular the largest, primary health care, provide an opportunity to address many impulse-affected conditions currently poorly assessed and treated in health care settings. Barriers to intervention for ICDs in primary health care are time constraints; understanding of the etiology, symptoms, and appropriate interventions; the health and social costs; and prioritizing of training in and treatment of conditions perceived as more serious or appropriate to a primary health care service. These barriers may possibly be overcome in primary care settings, and in this chapter, a model to address problem gambling is described.


2015 ◽  
Vol 10 (2) ◽  
pp. 61-63 ◽  
Author(s):  
Caroline Voogd ◽  
Madeleine Murphy ◽  
Sophie Gardner

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