A survey of 1700 women who formed their families using donor spermatozoa
- Sawyer, Neroli, Blyth, Eric, Kramer, Wendy, Frith, Lucy
- Authors: Sawyer, Neroli , Blyth, Eric , Kramer, Wendy , Frith, Lucy
- Date: 2013
- Type: Text , Journal article
- Relation: Reproductive BioMedicine Online Vol. 27, no. 4 (2013), p. 436-447
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- Description: This paper reports the results of an online survey of 1700 recipients of donor spermatozoa conducted by the Donor Sibling Registry, aiming to understand the perspectives of respondents who had used donor spermatozoa. The survey examined: choice of sperm bank and donor; reporting of births and genetic disorders; disclosure; contact with donor and half-siblings; regulation of sperm donor activity and genetic testing; and access to medical information. The respondents formed three groups: single women; women in a same-sex relationship; and women in a heterosexual relationship. Some differences between the three cohorts were observed: preinsemination counselling; acceptance of donors without medical records or with chronic or late-onset diseases; awareness of choice of bank and type of donor; and views on the right of offspring to know their genetic origins. However, important areas of common ground were identified: the wish by those who had used an anonymous donor that they had used an open-identity donor; support for, and willingness to pay for, comprehensive genetic testing of donors; and desire for access to their donor's family health information. The implications of these results for policies concerning the use and management of donor spermatozoa will be discussed. © 2013, Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.
- Authors: Sawyer, Neroli , Blyth, Eric , Kramer, Wendy , Frith, Lucy
- Date: 2013
- Type: Text , Journal article
- Relation: Reproductive BioMedicine Online Vol. 27, no. 4 (2013), p. 436-447
- Full Text:
- Reviewed:
- Description: This paper reports the results of an online survey of 1700 recipients of donor spermatozoa conducted by the Donor Sibling Registry, aiming to understand the perspectives of respondents who had used donor spermatozoa. The survey examined: choice of sperm bank and donor; reporting of births and genetic disorders; disclosure; contact with donor and half-siblings; regulation of sperm donor activity and genetic testing; and access to medical information. The respondents formed three groups: single women; women in a same-sex relationship; and women in a heterosexual relationship. Some differences between the three cohorts were observed: preinsemination counselling; acceptance of donors without medical records or with chronic or late-onset diseases; awareness of choice of bank and type of donor; and views on the right of offspring to know their genetic origins. However, important areas of common ground were identified: the wish by those who had used an anonymous donor that they had used an open-identity donor; support for, and willingness to pay for, comprehensive genetic testing of donors; and desire for access to their donor's family health information. The implications of these results for policies concerning the use and management of donor spermatozoa will be discussed. © 2013, Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.
Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges
- Hassan, Shafiqul, Dhali, Mohsin, Zaman, Fazluz, Tanveer, Muhammad
- Authors: Hassan, Shafiqul , Dhali, Mohsin , Zaman, Fazluz , Tanveer, Muhammad
- Date: 2021
- Type: Text , Journal article
- Relation: Vol. 7, no. 6 (2021), p.
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- Description: Big data analytics and artificial intelligence are revolutionizing the global healthcare industry. As the world accumulates unfathomable volumes of data and health technology grows more and more critical to the advancement of medicine, policymakers and regulators are faced with tough challenges around data security and data privacy. This paper reviews existing regulatory frameworks for artificial intelligence-based medical devices and health data privacy in Bangladesh. The study is legal research employing a comparative approach where data is collected from primary and secondary legal materials and filtered based on policies relating to medical data privacy and medical device regulation of Bangladesh. Such policies are then compared with benchmark policies of the European Union and the USA to test the adequacy of the present regulatory framework of Bangladesh and identify the gaps in the current regulation. The study highlights the gaps in policy and regulation in Bangladesh that are hampering the widespread adoption of big data analytics and artificial intelligence in the industry. Despite the vast benefits that big data would bring to Bangladesh's healthcare industry, it lacks the proper data governance and legal framework necessary to gain consumer trust and move forward. Policymakers and regulators must work collaboratively with clinicians, patients and industry to adopt a new regulatory framework that harnesses the potential of big data but ensures adequate privacy and security of personal data. The article opens valuable insight to regulators, academicians, researchers and legal practitioners regarding the present regulatory loopholes in Bangladesh involving exploiting the promise of big data in the medical field. The study concludes with the recommendation for future research into the area of privacy as it relates to artificial intelligence-based medical devices should consult the patients' perspective by employing quantitative analysis research methodology. © 2021 The Author(s)
- Authors: Hassan, Shafiqul , Dhali, Mohsin , Zaman, Fazluz , Tanveer, Muhammad
- Date: 2021
- Type: Text , Journal article
- Relation: Vol. 7, no. 6 (2021), p.
- Full Text:
- Reviewed:
- Description: Big data analytics and artificial intelligence are revolutionizing the global healthcare industry. As the world accumulates unfathomable volumes of data and health technology grows more and more critical to the advancement of medicine, policymakers and regulators are faced with tough challenges around data security and data privacy. This paper reviews existing regulatory frameworks for artificial intelligence-based medical devices and health data privacy in Bangladesh. The study is legal research employing a comparative approach where data is collected from primary and secondary legal materials and filtered based on policies relating to medical data privacy and medical device regulation of Bangladesh. Such policies are then compared with benchmark policies of the European Union and the USA to test the adequacy of the present regulatory framework of Bangladesh and identify the gaps in the current regulation. The study highlights the gaps in policy and regulation in Bangladesh that are hampering the widespread adoption of big data analytics and artificial intelligence in the industry. Despite the vast benefits that big data would bring to Bangladesh's healthcare industry, it lacks the proper data governance and legal framework necessary to gain consumer trust and move forward. Policymakers and regulators must work collaboratively with clinicians, patients and industry to adopt a new regulatory framework that harnesses the potential of big data but ensures adequate privacy and security of personal data. The article opens valuable insight to regulators, academicians, researchers and legal practitioners regarding the present regulatory loopholes in Bangladesh involving exploiting the promise of big data in the medical field. The study concludes with the recommendation for future research into the area of privacy as it relates to artificial intelligence-based medical devices should consult the patients' perspective by employing quantitative analysis research methodology. © 2021 The Author(s)
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