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Health Catalyst
Health Catalyst is a leading provider of data and analytics technology and services to healthcare organizations, and is committed to being the catalyst for massive, measurable, data-informed healthcare improvement. Its customers leverage the cloud-based data platform—powered by data from more than 100 million patient records and encompassing trillions of facts—as well as analytics software and professional services expertise to make data-informed decisions and realize measurable improvements.
Mission/Vision
To be the catalyst for massive, measurable, data-informed healthcare improvement
Type of Organization
Vendor - i.e. Established companies, non-startup
Size of Organization
500-1,000
Organization Mailing Address
3165 Millrock Drive #400
Salt Lake City, UT 84121
United States
Patient Safety Monitor Suite
The Patient Safety Monitor Suite alerts a health provider’s patient safety organization (PSO) of potential harm, based on pre-defined or client defined clinical trigger events and rules. It also provides drill down analysis of the root cause and documentation of the analysis and root cause. Unlike a patient record system or EMR, this documentation is stored in a protected area governed by the clients’ PSO, to be used for process and quality improvement purposes only.
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Patient harm and avoidable errors are hugely important issues in healthcare. The Patient Safety Monitor Suite helps healthcare systems respond to these issues by alerting clinicians based on several predefined or customized clinical trigger events and rules. The suite enables real-time collection and assessment of data to identify patient safety issues before they become a problem.
This suite brings together Health Catalyst’s deep expertise and the analytic power of Patient Safety Monitor.
Key Benefits:
• Improve patient outcomes and lower costs. Reporting of timely, safety analytics is accessible within the clinical workflow at the time and point of care, enabling proactive harm prevention.
• Free clinicians and infection preventionists to focus on patient care. Automated data extraction and reporting lifts the burden of manual data searching, aggregation, and reporting.
• Automate data collection and reporting. Lifts the burden of manual data collection, data entry, and reporting, resulting in in-time educational opportunities with staff.
• Gain an understanding of performance at-a-glance. Easily filter data to drill down to different levels for further insight on improvement opportunities.
Use Cases Example:
• A quality officer using the Patient Safety Monitor Suite observes a clinically confirmed rising rate of nursing-sensitive harm events (falls, pressure injuries). He discusses the trend with nursing leaders and unit medical directors, and the group hypothesizes that recent reductions to nurse staffing (nurse:patient ratios) in some care units may be related. Root-cause analysis supports this hypothesis.
This suite brings together Health Catalyst’s deep expertise and the analytic power of Patient Safety Monitor.
Key Benefits:
• Improve patient outcomes and lower costs. Reporting of timely, safety analytics is accessible within the clinical workflow at the time and point of care, enabling proactive harm prevention.
• Free clinicians and infection preventionists to focus on patient care. Automated data extraction and reporting lifts the burden of manual data searching, aggregation, and reporting.
• Automate data collection and reporting. Lifts the burden of manual data collection, data entry, and reporting, resulting in in-time educational opportunities with staff.
• Gain an understanding of performance at-a-glance. Easily filter data to drill down to different levels for further insight on improvement opportunities.
Use Cases Example:
• A quality officer using the Patient Safety Monitor Suite observes a clinically confirmed rising rate of nursing-sensitive harm events (falls, pressure injuries). He discusses the trend with nursing leaders and unit medical directors, and the group hypothesizes that recent reductions to nurse staffing (nurse:patient ratios) in some care units may be related. Root-cause analysis supports this hypothesis.
Category of Innovation
Innovative Services - Innovative services include new processes, policies or procedures in the health care system that do not fall into the other health care innovation categories
Intended End User
Provider - Individuals or organizations responsible for providing care to patients (e.g. doctors, nurses, hospital/clinic administrators, etc.)
Impactful Innovation Stage (Click Here for Details)
Solution
Idea/solution to the problem, if applicable
The Patient Safety Monitor Suite is a collection of automated patient safety tools that improves patient outcomes and lowers cost. The suite flows from surveillance of events to documentation of pressure injury assessment findings and finally to the aggregation of patient safety findings.
Level of adoption (i.e. list of customers/users, testimonials, etc.), if applicable
• Thibodaux Regional Health System
• UnityPoint Health
• Mission Health
• Community Health Network
• Allina Health
• UnityPoint Health
• Mission Health
• Community Health Network
• Allina Health
Impact (i.e. measurable outcomes), if applicable
Thibodaux Regional Health System sought to transform its blood transfusion practices. Aware that blood transfusions were often over-used, Thibodaux Regional’s leadership prioritized engaging providers to decrease unnecessary transfusions, reduce potential risks to patients, and improve costs of care. The organization leveraged data and analytics to better understand opportunities for improvement.
• $104K reduction in costs, the result of a 28.6 percent relative reduction in red blood cell transfusion.
UnityPoint Health created a task force to develop and implement a plan for maximizing blood management. The task force incorporated decision support to improve transfusion ordering in alignment with the transfusion standards. An analytics platform has also been leveraged, which monitors the utilization of blood products, including predictive modeling to risk-adjust blood utilization specific to patient case-mix, and data down to the ordering provider level.
• $17.4M reduction in direct costs over six years, the result of decreasing unnecessary RBC transfusion.
Community Health Network (CHNw) was keenly aware of the impact that opioid prescribing patterns have on potential opioid misuse and set a focus on decreasing opioid prescriptions; however, it lacked access to meaningful data that could be used to understand the volume of opioids that were prescribed postoperatively. CHNw created an orthopedics guidance team and leveraged data within its analytics platform to gain insight into prescribing habits over time.
• 35 percent relative reduction in the total number of opioid pills prescribed.
• 20.4 percent relative reduction in the average number of opioid pills per prescription.
• 239,230 fewer opioid pills available in the community.
• $104K reduction in costs, the result of a 28.6 percent relative reduction in red blood cell transfusion.
UnityPoint Health created a task force to develop and implement a plan for maximizing blood management. The task force incorporated decision support to improve transfusion ordering in alignment with the transfusion standards. An analytics platform has also been leveraged, which monitors the utilization of blood products, including predictive modeling to risk-adjust blood utilization specific to patient case-mix, and data down to the ordering provider level.
• $17.4M reduction in direct costs over six years, the result of decreasing unnecessary RBC transfusion.
Community Health Network (CHNw) was keenly aware of the impact that opioid prescribing patterns have on potential opioid misuse and set a focus on decreasing opioid prescriptions; however, it lacked access to meaningful data that could be used to understand the volume of opioids that were prescribed postoperatively. CHNw created an orthopedics guidance team and leveraged data within its analytics platform to gain insight into prescribing habits over time.
• 35 percent relative reduction in the total number of opioid pills prescribed.
• 20.4 percent relative reduction in the average number of opioid pills per prescription.
• 239,230 fewer opioid pills available in the community.
Funding Stage
Not Applicable