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Is Artificial Intelligence (AI) Friend or Foe to Patients in Healthcare?: On Virtues of Dynamic Consent – How to Build a Business Case for Digital Health Applications

Is Artificial Intelligence (AI) Friend or Foe to Patients in Healthcare?: On Virtues of Dynamic Consent – How to Build a Business Case for Digital Health Applications

Veronika Litinski
Copyright: © 2018 |Pages: 12
ISBN13: 9781522539261|ISBN10: 1522539263|EISBN13: 9781522539278
DOI: 10.4018/978-1-5225-3926-1.ch062
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MLA

Litinski, Veronika. "Is Artificial Intelligence (AI) Friend or Foe to Patients in Healthcare?: On Virtues of Dynamic Consent – How to Build a Business Case for Digital Health Applications." Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1246-1257. https://doi.org/10.4018/978-1-5225-3926-1.ch062

APA

Litinski, V. (2018). Is Artificial Intelligence (AI) Friend or Foe to Patients in Healthcare?: On Virtues of Dynamic Consent – How to Build a Business Case for Digital Health Applications. In I. Management Association (Ed.), Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications (pp. 1246-1257). IGI Global. https://doi.org/10.4018/978-1-5225-3926-1.ch062

Chicago

Litinski, Veronika. "Is Artificial Intelligence (AI) Friend or Foe to Patients in Healthcare?: On Virtues of Dynamic Consent – How to Build a Business Case for Digital Health Applications." In Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1246-1257. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3926-1.ch062

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Abstract

Failure to appropriately measure Value is one of the reasons for slow reform in health. Value brings together quality and cost, both defined around the patient. With technology we can measure value in the new ways: commercially developed algorithms are capable of mining large, connected data sets to present accurate information for patients and providers. But how do we align these new capabilities with clinical and operational realities, and further with individual privacy? The right amount of information, shared at the right time, can improve practitioners' ability to choose treatments, and patients' motivation to provide consent and follow the treatment. Dynamic Consent, where IT is used to determine just what patients are consenting to share, can address the inherent conflict between the demand from AI for access to data and patients' privacy principles. This chapter describes a pragmatic Commercial Development framework for building digital health tool. It overlays Value Model for healthcare IT investments with Patient Activation Measures and innovation management techniques.

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