Latest in Health IT

Big Data benefits for Accountable Care Organizations(ACOs)

The right Health IT technologies along with accountable care organizations(ACOs) development can play a pivotal role in improving patient outcomes. Right now, more attention is given to preventing diseases and maintaining wellness among a set group of patient.
The digitized patient data is accessible through EHR systems. As a result physicians, nurses and other healthcare professionals would be able to exchange information quickly and efficiently across an ACO care team. The up-to-date, useful exchange of big data in the healthcare industry is essential to enhance patient health and blend new models of care including ACO development.
Standardized big data is one of the major endeavors in the healthcare industry. As data come in many forms from the images of CT scans, MRI, or physicians notes in EHR. Standardization is also challenging due to a variety of stakeholders collects data like providers, payers, federal agencies, disease management companies and patient themselves.
Predictive Analytics uses big data to improve patient health outcomes. The results can help to target particular patients and finds new ways to keep patients healthier and to lower the healthcare costs. These all are essential for the mission of ACO development projects

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Assessing Mental Health with Mobile

Mental Health issue is a growing concern in U.S. According to an estimate, around 20% of adults are affected by some sort of mental illness. But what if your phone which you carry everywhere could help you discreetly monitor things like depression, anxiety insomnia.
Most of the times suffering person do not know whether he is clinically depressed or not. Symptomatic test are available on mobile applications that let you find out if it is time to call a therapist or not. After answered set of questions , a score is generated which you can consult with your therapist. For insomnia patients apps can provide guided meditation , a sleep record or relaxation activity and tools to plan new sleep habits
The mobile applications are also able to work behind the scenes to gather information about the movements, call data ,text message patterns even motion data from accelerometer. When significant deviations occur, an alert is sent to person and care provider.

Source : Huffington Post

Big data used to study drug-dependent new borns disorder

An increasing number of babies are born addicted to opioids and need intensive care according to the study done by Baylor research.They analyzed MEDNAX Clinical data Warehouse statistics from 299 neonatal intensive care unit.
The illness is termed “neonatal abstinence syndrome” NAS, is a drug withdrawal syndrome that mostly happens after in-utero exposure to opioids
It can result in seizures, respiratory complications, difficulty feeding and low birth weights in affected neonates.
By applying Analytics techniques, the researchers was able to determine that between 2004 and 2013 the rate of NICU admission for NAS almost increased fourfold. The researchers also found that the length of hospitalization increased by more than 40%.
Medication is problematic in the case of NAS because of the limited research about the most reliable way to care for the infants.

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How is Remote Monitoring assisting the Intensive Care Unit

Intensive care units(ICUs) patients treatment makes up around 1/3 of all hospital costs in the US. These patients are sick, and each one responds differently. These patients require more rapid intervention for problems like arrhythmia, hypotension or hypoxia.
A remote Intensive care unit is plan to organize and tend to these problems promptly. The patient has an intensivist who is observing the chart and receiving alerts of shifts in the patient’s health as well as a video and audio feed. The doctor can see and communicate to the patient, and can inform the floor nurse that the patient requires hands-on care.
The patient monitoring load can be scattered by monitoring multiple ICUs at one remote site. Remote ICU’s expands the abilities of the Intensivist over more of the hospital’s ICU patients. There is a powerful impact on the quality of patient care with the presence of a critical care physician observing these patients all night long.
By using advanced medical imaging, video conferencing and Health IT in ICUs, the physicians can monitor intensive care patients and provide a higher quality of care.

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