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Patient Safety Best Practices E-Book: The Intersection of Patient Care and Technology

February 21, 2019

Article Summary


Patient safety is a top concern for healthcare organizations. Fortunately, health IT assists leadership and frontline clinicians in the ongoing effort to improve patient care. This e-book comprises ten articles outlining the intersection of technology and patient care, highlighting how organizations can implement patient safety best practices.

Getting to the bottom of all-cause harm is critical for hospitals and health systems working to both improve patient care and protect the bottom line. Technology is a vital part of that improvement. “Patient Safety, Health IT and Getting to the Bottom of All-Cause Harm: 10 Articles at the Intersection of Patient Care and Technology,” an e-book from Becker’s Hospital Review, delivers insights about how healthcare organizations are leveraging the power of data and technology to improve patient safety and provide better care.

Patient safety ebook cover
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Don’t miss success stories, strategies, and best practice recommendations:

  • Improving patient safety through technology that detects risk for safety events in advance, giving clinicians time to intervene.
  • How hospitals are reducing readmissions.
  • Mitigating the patient safety, clinical, and business risks of nurse overtime and burnout.
  • Enhancing early warning systems in labor and delivery departments and reducing maternal mortality and morbidity with artificial intelligence.
  • Easing the pain of data integration for hospitals and medical manufacturers as master data management becomes a necessity.

In the final article, Stan Pestotnik, MS, RPh, senior vice president of product development at Health Catalyst, discusses all-cause harm reporting and issues with measurement.

Additional Reading

Would you like to learn more about this topic? Here are some articles we suggest:

  1.  Survey Shows the Role of Technology in the Progress of Patient Safety
  2. Healthcare Safety Culture: A Seven-Step Success Framework
  3. Meaningful Machine Learning Visualizations for Clinical Users: A Framework
  4. Analytics Drive Lean Processes to Lower Healthcare-associated Infections
  5. A Framework for High-Reliability Organizations in Healthcare
Healthcare Safety Culture: A Seven-Step Success Framework