scholarly journals Patient Data-Sharing for AI: Ethical Challenges, Catholic Solutions

2020 ◽  
Vol 87 (4) ◽  
pp. 471-481
Author(s):  
Jean Baric-Parker ◽  
Emily E. Anderson
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Electronic Health Record ◽  
Data Sharing ◽  
Patient Data ◽  
Health Record ◽  
Social Challenges ◽  
Ai Ethics ◽  
Guiding Principles ◽  
Electronic Health

Recent news of Catholic and secular healthcare systems sharing electronic health record (EHR) data with technology companies for the purposes of developing artificial intelligence (AI) applications has drawn attention to the ethical and social challenges of such collaborations, including threats to patient privacy and confidentiality, undermining of patient consent, and lack of corporate transparency. Although the United States Catholic Conference of Bishops’ Ethical and Religious Directives for Health Care Services ( ERDs) address collaborations between US Catholic healthcare providers and other entities, the ERDs do not adequately address the novel concerns seen in EHR data-sharing for AI development. Neither does the Health Insurance Portability and Accountability Act (HIPAA) privacy rule. This article describes ethical and social problems observed in recent patient data-sharing collaborations with AI companies and analyzes them in light of the guiding principles of the ERDs as well as the 2020 Rome Call to AI Ethics ( RCAIE) document recently released by the Vatican. While both the ERDs and RCAIE guiding principles can inform future collaborations, we suggest that the next revision of the ERDs should consider addressing data-sharing and AI more directly. Summary: Electronic health record data-sharing with artificial intelligence developers presents unique ethical and social challenges that can be addressed with updated United States Catholic Conference of Bishops’ Ethical and Religious Directives and guidance from the Vatican’s 2020 Rome Call to AI Ethics.

AIRA, an Artificial Intelligence Realistic Assistant that will save your time, a before-and-after study during Pandemic (Preprint)

2021 ◽  
Author(s):  
Kaio Bin ◽  
Adler Araújo Ribeiro Melo ◽  
José Guilherme Franco Da Rocha ◽  
Renata Pivi De Almeida ◽  
Vilson Cobello Junior ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Electronic Health Record ◽  
Medical Care ◽  
Health Screening ◽  
Urgent Care ◽  
Health Record ◽  
Before And After ◽  
Electronic Health ◽  
The Impact ◽  
Before And After Study

BACKGROUND AIRA is an AI designed to reduce the time that doctors dedicate filling out EHR, winner of the first edition of MIT Hacking Medicine held in Brazil in 2020. As a proof of concept, AIRA was implemented in administrative process before its application in a medical process. OBJECTIVE The aim of the study is to determinate the impact of AIRA by eliminating the Medical Care Registration (MCR) on Electronic Health Record (EHR) by Administrative Officer. METHODS This is a comparative before-and-after study following the guidance “Evaluating digital health products” from Public Health England. An Artificial Intelligence named AIRA was created and implemented at CEAC (Employee Attention Center) from HCFMUSP. A total of 25,507 attendances were evaluated along 2020 for determinate AIRA´s impact. Total of MCR, time of health screening and time between the end of the screening and the beginning of medical care, were compared in the pre and post AIRA periods. RESULTS AIRA eliminated the need for Medical Care Registration by Administrative Officer in 92% (p<0.0001). The nurse´s time of health screening increased 16% (p<0.0001) during the implementation, and 13% (p<0.0001) until three months after the implementation, but reduced in 4% three months after implementation (p<0.0001). The mean and median total time to Medical Care after the nurse’ Screening was decreased in 30% (p<0.0001) and 41% (p<0.0001) respectively. CONCLUSIONS The implementation of AIRA reduced the time to medical care in an urgent care after the nurse´ screening, by eliminating non-value-added activity the Medical Care Registration on Electronic Health Record (EHR) by Administrative Officer.

scholarly journals Blockchain Usage in the Electronic Health Record System using Attribute-Based Signature

2019 ◽  
Vol 8 (2S11) ◽  
pp. 993-997
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Patient Data ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Health Records ◽  
Block Chain ◽  
Electronic Health ◽  
The Government

Block-chain is a list of records which are stored in its blocks that are linked through cryptography. It is used previously for bitcoin transactions only. Now the government and also other organizations are going to use this block-chain in different fields. Electronic Health Records (EHRs) are used for storing the information about the patients. In EHR the information is stored in the paper through web which has some disadvantages. Here we use block-chain and Attribute- Based Signatures (ABS) to store the information about the patient’s in the blocks of block-chain which is stored in cloud. By this we can provide security to the patient data and also there are no storage problems and also through ABS we provide some attributes to the users who are going to access the data of patient.

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