Posts Tagged ‘patient-centered’

WIHI – Who’s Your Health Care Proxy?

A clip from the April 7th WIHI broadcast – Who’s Your Health Care Proxy?

Featuring:

Suzanne Salamon, MD, Associate Chief, Gerontology Division, Beth Israel Deaconess Medical Center

None of us likes to imagine being unable able to speak for ourselves when it comes to our health care. But situations arise throughout our lives when we need a trusted person to communicate with doctors and nurses on our behalf. And, if we are facing care decisions near the end of life, a trusted proxy can play a crucial role ensuring our wishes are respected. So, does everyone have a documented health care proxy? In all likelihood, no, or not yet, which is why there are numerous efforts underway to close this gap.

The Conversation Project, a five-year-old grassroots initiative based at IHI, has just published a new, free resource it believes can help: How to Choose a Health Care Proxy & How to Be a Health Care Proxy. We learned more about this latest proxy kit and the issues surrounding choosing a health care proxy on the April 6 WIHI: Who’s Your Health Care Proxy?

Full broadcast available via itunes or on the WIHI archive page at ihi.org (http://www.ihi.org/wihi)

Visit The Conversation Project and learn more about the health care proxy starter kit at at http://www.theconversationproject.org

Be the first to comment - What do you think?  Posted by admin - October 8, 2019 at 7:26 pm

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William Paiva: Transforming health care and medical education through clinical Big Data analytics

Health care is undergoing significant transformation, and digital health data is at the center of this change. According to the Centers for Disease Control, nearly 80 percent of the nation’s health care institutions have converted to an electronic medical record (EMR) system from the old paper-based system. New technologies like smartphone applications are also creating new stockpiles of digital data. Genetic data is growing as well; scientists can sequence a person’s entire DNA within 24 hours and for less than $1,000. Collectively, the amount of digital health data is expected to grow from 500,000 to 25 million terabytes over the next five years.

Why do we care that our health information is now in a digital format? How does it benefit all of us?

People who work in health care—and every industry for that matter—are smart, well trained, and do their best to stay up-to-date with the latest research, methodologies and trends. However, it is not rational to assume individuals have the depth of knowledge or data access to deal with every situation they encounter. Furthermore, the health care field is already understaffed, and this issue will only get worse as the looming mass retirement of baby boomers from the health care workforce creates an unprecedented supply-and-demand crisis.

Digitized health data has the potential to help mitigate this troubling situation. Predictive medicine uses computing power and statistical methods to analyze EMR and other health-related data to predict clinical outcomes for individual patients. Beyond health outcome forecasting, predictive medicine also can uncover surprising and often unanticipated clinical associations.

Oklahoma State University’s Center for Health Systems Innovation (CHSI), through its Institute for Predictive Medicine (IPM), is a leader in the exploding field of predictive medicine thanks to the unprecedented donation by Cerner Corporation of its HIPAA-compliant clinical health database, one of the largest available in the United States. Specifically, this dataset represents clinical information from over 63 million patients and includes admission, discharge, clinical events, pharmacy, and laboratory data spanning more than 16 years.

Over 20 full-time CHSI employees and nearly two dozen graduate students are working to execute the CHSI mission to transform rural and Native American health through data analytics. Further, CHSI has a number of ongoing partnerships with academia, health systems and corporations to extract value from digitized health data.

One example of CHSI’s numerous predictive medicine projects is an effort to help physicians determine whether the performance of particular cardiovascular drugs varies by gender or race, or both. Conversely, this study will help indicate which drugs perform poorly or even cause complications in these populations. Other CHSI studies are designed to give physicians insight into whether patients with a particular disease are likely to develop or already have an associated disease, which will aid in co-managing these conditions and lead to better health care. Another project is designed to help hospitals use data on patient demographic characteristics, comorbidities, discharge setting, and other medical information contained in comprehensive EMR systems to determine if patients are at high risk for being readmitted for disease-associated complications. If patients are considered high risk, they can get the care and support necessary to prevent frequent cycling through the health care system.

Predictive medicine can also lead to the creation and implementation of tools for managing larger patient loads, which can aid health care providers in dealing with supply-and-demand problems. For instance, CHSI has developed a clinical decision support system that can detect diabetic retinopathy with a high degree of accuracy using lab and comorbidity data available through primary care visits. This algorithm addresses the very real challenge of low patient compliance, particularly among rural and underserved populations, with annual ophthalmic eye exams, which are the gold standard for retinopathy detection and preventing vision impairment or total vision loss. CHSI is extending this work to other common diabetes-related microvascular complications with the goal of developing a comprehensive suite of tools that can help increase prevention and management of these complications among the nation’s growing diabetic population.

Be the first to comment - What do you think?  Posted by admin - August 1, 2019 at 3:20 am

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Improving Diagnosis in Health Care

According to the report Improving Diagnosis in Health Care, most of us will experience a diagnostic error– meaning an inaccurate or delayed diagnoses – in our lifetime. In this video, you hear three people’s experiences with challenges in the diagnostic process. Their stories underscore how critical teamwork and communication are in all settings of care.

For more information visit IOM’s Report page at: nas.edu/improvingdiagnosis

Be the first to comment - What do you think?  Posted by admin - July 23, 2019 at 7:21 pm

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Kirsten Ostherr: What can Humanities bring to Healthcare?

Kirsten Ostherr, MPH, delves into patient engagement in healthcare and research from a multidisciplinary background. What can we learn from experts of varied backgrounds to improve patient care, research and the industry in general?

Be the first to comment - What do you think?  Posted by admin - March 8, 2019 at 3:21 am

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Lindred Greer: Opening Keynote – Flattening the Hierarchy in Health Care Teams

Award-winning professor Dr. Lindred Greer, known for her work on the power dynamics of teams, will deliver a keynote address on the importance of flattening influence hierarchies in health care teams.

Medicine X is a catalyst for new ideas about the future of medicine and health care. The initiative explores how emerging technologies will advance the practice of medicine, improve health, and empower patients to be active participants in their own care. The “X” is meant to encourage thinking beyond numbers and trends—it represents the infinite possibilities for current and future information technologies to improve health. Under the direction of Dr. Larry Chu, Associate Professor of Anesthesia, Medicine X is a project of the Stanford AIM Lab.

Be the first to comment - What do you think?  Posted by admin - November 14, 2018 at 3:21 am

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