Reluctance to Speak up Encourages Medical Errors

Reluctance to Speak up Encourages Medical Errors

From the March 22 2011 Health Day news item by Robert Preidt

TUESDAY, March 22 (HealthDay News) — Nurses often don’t speak up about incompetent colleagues or when they see fellow health-care workers making mistakes that could harm patients, new research finds.

In recent years, many hospitals have taken steps to reduce medical errors through measures such as checklists, patient handoff protocols, computerized order entry systems and automated medication-dispensing systems.

But the study***, which included 6,500 nurses and nurse managers across the United States, found that too often, nurses don’t alert their colleagues when they see a safety measure being violated…..

 

*** An executive summary of the study may be found here

[For suggestions on how to get this article for free or at low cost, click here]

 

Elsevier/MEDai enhances real-time clinical surveillance system for hospitals

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Elsevier/MEDai enhances real-time clinical surveillance system for hospitals

From the February 15, 2011 Eureka news alert

(Elsevier) Elsevier/MEDai, a leading provider of advanced clinical analytic health-care solutions, announced today the launch of the latest version of Pinpoint Review, its real-time, clinical surveillance system for hospitals. The new version will feature an expanded set of clinical watch triggers, expanded core measure alerts and three new predictions: ICU Admission Prediction, Length of Stay Prediction and Mortality Prediction.

ORLANDO, FL – 14 February, 2011 – Elsevier / MEDai, a leading provider of advanced clinical analytic healthcare solutions, announced today the launch of the latest version of Pinpoint Review®, its real-time, clinical surveillance system for hospitals. The new version will feature an expanded set of clinical watch triggers, expanded core measure alerts and three new predictions: ICU Admission Prediction, Length of Stay Prediction and Mortality Prediction.

“Hospitals are facing an enormous amount of pressure to provide better, safer care with fewer complications while managing costs,” said Swati Abbott, President of Elsevier / MEDai. “Elsevier / MEDai has enhanced its predictive analytics product to continuously give hospitals and clinicians the most up-to-date tools they need to lower mortality rates and healthcare costs, provide a higher quality of care, increase patient safety and maintain regulatory compliance.”

Pinpoint Review generates predictions for acute-care patients, focusing on the likelihood of a patient developing a complication, contracting a healthcare-acquired infection or being readmitted within 30 days of discharge, while patients are still in the hospital and there is time to adjust care to avoid a negative outcome.

With the expansion of Pinpoint Review’s new predictions, care givers are able to enhance their efforts in proactive care management. Pinpoint Review unlocks the power of clinical and administrative hospital data by utilizing predictive technologies to turn data into actionable information. Empowering today’s hospitals with the ability to predict whether or not a patient will be admitted to the ICU or higher intensity care unit, a predicted length of hospital stay or patient expiration goes a long way in driving down the cost of care and brings a proactive approach to quality improvement.

Pinpoint Review addresses the increasing pressure on hospitals from entities such as the Agency for Healthcare Research and Quality and the Joint Commission on Accreditation of Healthcare Organizations to deliver a higher quality of care and fewer medical errors. Pinpoint Review alerts care providers to patients at risk for developing several of the conditions that the Centers for Medicare and Medicaid Services (CMS) no longer reimburse.

Study Recommends Disclosure of Medical Mistakes That Affect Multiple Patients

From a Press Release by the Agency for Health Research and Qualtity (AHRQ)

Health care organizations should disclose medical mistakes that affect multiple patients even if patients were not harmed by the event, according to an AHRQ-funded research paper published in the September 2 issue of the New England Journal of Medicine. Medical mistakes that affect multiple patients, known as large-scale adverse events to researchers, are incidents or series of related incidents that harm or could potentially harm multiple patients. These events, which can include incompletely sterilized surgical equipment, poor laboratory quality control and equipment malfunctions, are often identified after care has been provided and can affect thousands of patients.