7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK
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7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK
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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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Exploring the Effect of Data on Precision Medicine Research #esante #hcsmeufr #digitalhealth

Exploring the Effect of Data on Precision Medicine Research #esante #hcsmeufr #digitalhealth | 7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK | 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
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Use of EHRs to Gather Real-World Data on Pharmaceuticals #esante #hcsmeufr #digitalhealth

Use of EHRs to Gather Real-World Data on Pharmaceuticals #esante #hcsmeufr #digitalhealth | 7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK | Scoop.it

Using electronic health records (EHRs) to create a learning healthcare system, say the authors, can enable researchers to generate new knowledge that will accrue benefits to future generations of patients.

 

Real-world data are increasingly viewed as a crucial factor in the eventual acceptance of biosimilar drugs, and indeed, current real-world evidence points to the safety and efficacy of these products in the marketplace.

 

In a recent paper, officials from the European Medicines Agency, the Organisation for Economic Cooperation, and other European government entities explained that such data can help make decisions about pharmaceuticals—from development to reimbursement—more efficient.

 

The authors called for international cooperation on a learning healthcare system that will better harness these data. 

The authors note that the expense of prospective data generation in a research setting is high, limiting the number of research questions that can be answered in a randomized controlled trial (RCT).

 

RCTs are rarely large enough to detect infrequent outcomes, nor are they long enough to determine long-term outcomes. 

Using electronic health records (EHRs) to create a learning healthcare system, say the authors, can enable researchers to generate new knowledge that will accrue benefits to future generations of patients.

 

However, current inadequacies of EHRs present a “technical bottleneck” to the objective of gathering real-world data.  

The paper’s authors propose that governments establish and implement national health data governance frameworks to encourage the use of personal health data to serve the public interest.

 

The collection of data must translate into the production of useful evidence.

A coordinated and international effort will be key to speed the implementation of a true learning healthcare system for global benefit. 

 

read the news article at https://www.centerforbiosimilars.com/news/european-officials-promote-use-of-ehrs-to-gather-real-world-data-on-pharmaceuticals--


Via nrip
nrip's curator insight, October 15, 2018 8:18 PM

I am currently writing an Ebook on "Use of EHRs for Public Health" which covers this very concept. Please comment in the section below or tweet us at @plus91 (you can tweet to @nrip to reach me directly) your thoughts on EHR usage, and possible uses of EHR data for the benefit of the public healthcare system

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Harnessing data to improve patient outcomes #esante #hcsmeufr

Harnessing data to improve patient outcomes #esante #hcsmeufr | 7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK | Scoop.it

As data and analytics are increasingly leveraged in various aspects of the healthcare system, some companies are  making use of such capabilities to help clinicians make the best decisions for patients.

 

One such company is naviHealth.  Based in Brentwood, Tennessee, naviHealth provides both payers and providers with post-acute care management expertise. Its nH Predict tool allows clinicians to better predict a patient’s outcomes in order to craft a personalized post-acute care plan.

 

Using NaviHealths nH Predict tool, clinicians are better able to predict a patient's outcomes and generate a personalized post-acute care plan.

 

The result of the tool is a simple outcome report that is generated at the beginning of the patient’s stay in a facility or hospital. The report breaks down the patient’s basic information as well as how they’re doing in a variety of categories.

 

For instance, nH Predict outlines the individual’s gender, date of birth and admission date. It also includes their primary diagnostic group (such as COPD) and their usual living setting (like at home alone or in an assisted living facility).

 

Finally, the outcome report provides a score for a few of the patient’s functions based on the data of similar patients. It gives a score on the patient’s basic mobility (such as wheelchair skills or ability to take the stairs); daily activity (like bathing and dressing); and applied cognition (including memory and communication).

 

Additionally, the report creates a total average score for the patient based on their mobility, activity and cognition scores.

 

read the complete story at https://medcitynews.com/2018/10/navihealth-data-patient-outcomes/

 


Via nrip
nrip's curator insight, October 4, 2018 1:32 AM

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

 

This technique where some companies are  making use of such capabilities to help clinicians make the best decisions for patients, is also not new, and there are startups and enthusiasts working on building self learning algorithms to modify clinical pathways to create better patient outcomes in India, Singapore, Scandanavia. If you are working on something similar, please drop me a note. 

 

Beyond the hype, it will be interesting to see if the hypothesized benefits actually translate into reality. 

 

Plus91's R&D has stayed away from improving/modifying/changing medical care plans but instead we built self learning models both for early detection of diseases, as well as for early prediction of epidemics, and while we have been very successful with demonstrating epidemic prediction, and actually preventing it in 2 cases already, the same success is unfortunately not achieved yet in disease detection. 

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Persuasive EHR Workflow Design Increased Same-Day Data Entry by 10% #esante #hcsmeufr #digitalhealth

Persuasive EHR Workflow Design Increased Same-Day Data Entry by 10% #esante #hcsmeufr #digitalhealth | 7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK | Scoop.it

Incorporating persuasive design concepts into primary care electronic health records (EHRs) increased same-day data entry by 10 percent per physician, demonstrating the potential for persuasive design to change data entry behavior, a study published in JMIR Human Factors revealed.

 

Persuasive design is a way of developing technology to influence behavior by leveraging social processes. Healthcare stakeholders have primarily focused on using persuasive design in consumer-facing mobile apps to improve outcomes, but there are few examples of using persuasive design to influence clinician behavior.

 

In primary care settings, providers often face barriers to entering data into EHRs in a timely manner.  Data entry tasks often take a long time, and users may feel as if completing documentation is a lower priority than seeing patients or finishing other tasks.

 

“Persuasive design is a viable approach for designing and encouraging behavior change and could support effective data capture in the field of medical informatics. There may be opportunities to continue improving this approach, and further work is required to perfect and test additional designs,” the team concluded.

 

read the original unedited article at https://healthitanalytics.com/news/persuasive-ehr-workflow-design-increased-same-day-data-entry-by-10

 

 


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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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EHR Communication and Diabetes Patient Outcomes

EHR Communication and Diabetes Patient Outcomes | 7- DATA, DATA,& MORE DATA IN HEALTHCARE by PHARMAGEEK | Scoop.it

A study to correlate EHR Communication with patient outcomes for diabetes patients reported that "EHR team communication flow patterns may be an important avenue to explore in raising quality of care and lowering costs for patients with diabetes in primary care." The study found that Primary care teams whose EHR communication reached more team members indirectly (ie, via message forwarding) had worse outcomes and higher medical costs for their patients with diabetes.

 

The study was carried out to determine how changes in electronic health record (EHR) communication patterns in primary care teams relate to quality of care and costs for patients with diabetes.

The Study Design: EHR-extracted longitudinal observational study.

A total of 83 health professionals in 19 care teams at 4 primary care clinics associated with a large Midwestern university participated in the study.

 

Counts of messages routed between any 2 team members in the EHR in the past 18 months were extracted. Flow-betweenness, defined as the proportion of information passed indirectly within the team, was calculated.

 

The analysis related changes in team flow-betweenness to changes in emergency department visits, hospital stays, and associated medical costs for the teams’ patients with diabetes, while adjusting for team face-to-face communication, patient-level covariates, comorbidities, team size, and clinic fixed effects.

Results: Patient hospital visits increased by 13% (standard error [SE] = 6%) for every increase of 1 percentage point in team EHR message forwarding (ie, higher team flow-betweenness). Medical costs increased by $223 (SE = $105) per patient with diabetes in the past 6 months for every increase of 1 percentage point in team flow-betweenness.

Conclusions: Primary care teams whose EHR communication reached more team members indirectly (ie, via message forwarding) had worse outcomes and higher medical costs for their patients with diabetes.

 

EHR team communication flow patterns may be an important avenue to explore in raising quality of care and lowering costs for patients with diabetes in primary care.

 

read the whole study details at  https://www.ajmc.com/journals/issue/2018/2018-vol24-n10/putting-the-pieces-together-ehr-communication-and-diabetes-patient-outcomes 


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