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Exploring the Effect of Data on Precision Medicine Research

Exploring the Effect of Data on Precision Medicine Research | Salud Publica | Scoop.it

In a study published in the AMA Journal of Ethics, researchers explored the role of social and behavioral data in precision medicine research.

 

Electronic health records (EHRs) can offer information on social and behavioral data, which can aid research investigating genetic and social factors across health disparities; for example, factors such as substance use and eating habits inform some of the risk associated with preventable premature deaths in the United States. Brittany Hollister, PhD, and Vence L. Bonham, JD, from the National Human Genome Research Institute at the National Institutes of Health, discussed potential biases in collecting, using, and interpreting EHR-based data in precision medicine research.

 

Current collection of behavioral and social data by precision medicine researchers is increasingly done using EHR data, as opposed to self-report methods such as surveys. However, extraction and use of EHR data poses challenges of inconsistencies or inaccuracies. Another challenge is determining what data are included or excluded from EHRs, and the consequences of using data collected through biased methodologies. The National Academy of Medicine addressed some of this in recommendations for the systematic capture of behavioral and social measures.2 They recommended intentional collection of structured social environment data, as well as the development of a plan by the National Institutes of Health to include social and behavioral data in EHRs. The current inconsistencies in collecting social and behavioral data pose difficulties to use in precision medicine research, but with improved collection methods these difficulties could be amended.

 

more at https://www.medicalbag.com/ethics/precision-medicine-research-ehr-data/article/808747/

 

 


Via nrip
Rescooped by Mariano Fernandez S. from healthcare technology
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Nationwide ‘Paperless’ eHealth project Commenced in Ghana

The Ministry of Health and the Ghana Health Service has engaged the services of Lightwave ehealthcare Services (LWEHS) to roll out an integrated health care solution that includes a Centralized data center with a 24 hour recovery unit to serve as an infrastructure platform for a patient-centered health care solution.

 

The solution will network all health facilities including agencies of the Ministry of Health, provide electronic Medical records for care seekers, enable and facilitate tele medicine, and develop a a real time bio-surveillance system – which will support the fight against disease outbreaks and the spread of communicable disease.

 

The system which integrates with the current National Health Insurance Scheme (NHIS) enables the development of a patient management system – this will streamline the Admission, discharge and transfer process of healthcare.

 

Chief Technology Officer of Lightwave Mr Thomas Mac Scofield, said the project was a culmination of years of planning and working with the MOH to bring ehealth solutions to the public health care industry.

 

Mr Thomas Mac Scofield revealed to Ghanahealthnest.com that, the cost of the project is covered by the government through the MoH and GHS thus will not require patients or subscribers to pay for it.

 

Nrip Nihalani consulting director with LightWave revealed to Ghanahealthnest.com that the project follows Ghana’s Data privacy and HIPAA laws to ensure its safety.

 

He added that, the time was right for Ghana as most countries have gone ahead and made significant mistakes. “Ghana is at the absolute time with the technologies, the budgets, the preparedness all meeting together to launch its e-health”, Nrip intoned.

 

more at : http://ghanahealthnest.com/nationwide-paperless-ehealth-project-commenced-ghana/

 


Via nrip
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DeepMind furthering AI cancer research program with new partnership in Japan to refine breast cancer detection algorithms

DeepMind furthering AI cancer research program with new partnership in Japan to refine breast cancer detection algorithms | Salud Publica | Scoop.it

Deep mind will use data available to it via a new partnership with Jikei University Hospital in Japan to refine its artificially intelligent (AI) breast cancer detection algorithms.

 

Google AI subsidiary DeepMind has partnered with Jikei University Hospital in Japan to analyze mammagrophy scans from 30,000 women.

 

DeepMind is furthering its cancer research efforts with a newly announced partnership.

 

The London-based Google subsidiary said it has been given access to mammograms from roughly 30,000 women that were taken at Jikei University Hospital in Tokyo, Japan between 2007 and 2018.

 

Deep mind will use that data to refine its artificially intelligent (AI) breast cancer detection algorithms.

 

Over the course of the next five years, DeepMind researchers will review the 30,000 images, along with 3,500 images from magnetic resonance imaging (MRI) scans and historical mammograms provided by the U.K.’s Optimam (an image database of over 80,000 scans extracted from the NHS’ National Breast Screening System), to investigate whether its AI systems can accurately spot signs of cancerous tissue.


Via nrip
nrip's curator insight, October 5, 2018 1:25 AM

Healthcare data is increasingly being analyzed and complex algorithms created to help various aspects of the healthcare ecosystem.

 

A big problem is the availability of huge data sets, and where available, the prevention of their misuse. Its great that Deepmind is able to source data sets , (being a sub of Google, am sure plays a role), and hopefully they will put their deep mind ;) to good use  and be able to improve detection algorithms.

 

I have written previously on this, and it will be useful for patients and  if the data sets do help create both faster as well as more accurate detection algorithms in the future.