About | HeinOnline Law Journal Library | HeinOnline Law Journal Library | HeinOnline

31 Annals Health L. & Life Scis. 179 (2022)
Physician Liability in the Age of Data Reliance and Errors

handle is hein.journals/anohl31 and id is 84 raw text is: Physician Liability in the Age of Data Reliance and
Errors
Laura Montesantos *
I. INTRODUCTION
The first rule of any technology used in a business is that automation
applied to an efficient operation will magnify the efficiency. The second is
that automation applied to an inefficient operation will magnfy the
inefficiency.'
- Bill Gates
Medical errors are the third leading cause of death in the United States
causing at least 250,000 deaths every year, indicating that patient safety
efforts fall short.2 In addition, errors related to improper patient diagnoses
were the largest contributor to medical malpractice claims for the five-year
period from 2013 to 2017.3 Such statistics give weight to the need for health
care reform by way of technological advancements that can improve the
safety and quality of medical care.
However, health care innovation opens new legal complications with
regards to liability, namely because of the complexity that underpins the
technology itself. For example, when an error occurs through the use of
technological advancements, such as Artificial Intelligence (AI) or Machine
Learning (ML), it is difficult to make an assessment of who to hold
responsible for the medical error.4 As Al becomes more powerful, the
* Laura Montesantos is a Chicago resident and licensed attorney working in healthcare
software technology. Laura has a JD from DePaul University and an LL. M. in health law
from Loyola University Chicago School of Law.
1 Bill Gates, Bill Gates Quotes, BRAINY QUOTE, https://www.brainyquote.com/authors/bill-
gates-quotes (last visited Oct. 7, 2021).
2 Steve Sternberg, Medical Errors Are Third Leading Cause ofDeath in the US., U.S. NEWS
(May 3, 2016), https://www.usnews.com/news/articles/20 16-05-03/medical-errors-are-third-
leading-cause-of-death-in-the-us (It is important to note that some of the statistics referenced
are being questioned as over inflated).
3 Maria Castellucci, Diagnostic Errors Are Largest Contributor to Medical Malpractice
Claims, MODERN HEALTHCARE (Mar. 13, 2018),
https://www.modernhealthcare.com/article/20180313/NEWS/180319965/diagnostic-errors-
are-largest-contributor-to-medical-malpractice-claims.
4 Artificial Intelligence is defined as the development of computer systems able to perform
tasks that normally require human intelligence. Machine learning is the concept of machines
learning through experience or example. As such, Al is the broader concept including
machine learning and other technologies. See Evan Sweeney, Using AIfor Diagnosis Raises
Tricky Questions About Errors, FIERCE HEALTHCARE (May 24, 2017),
https://www.fiercehealthcare. com/analytics/using-ai-for-medical-diagnosis-raises-tricky-
questions-about-errors.

179

What Is HeinOnline?

HeinOnline is a subscription-based resource containing thousands of academic and legal journals from inception; complete coverage of government documents such as U.S. Statutes at Large, U.S. Code, Federal Register, Code of Federal Regulations, U.S. Reports, and much more. Documents are image-based, fully searchable PDFs with the authority of print combined with the accessibility of a user-friendly and powerful database. For more information, request a quote or trial for your organization below.



Short-term subscription options include 24 hours, 48 hours, or 1 week to HeinOnline.

Contact us for annual subscription options:

Already a HeinOnline Subscriber?

profiles profiles most