Intelligent Software Automatically Assigns Nurses
|
By HospiMedica International staff writers Posted on 27 Sep 2017 |

Image: New software matches patients and nurses to adjust workloads fairly (Photo courtesy of MedAdaptus).
A new software program matches patients and nurses by applying a protocol engine intended to tackle the complexities of patient assignments.
The MedAptus (Boston, MA, USA) ASSIGN for Nurses platform replaces the cumbersome manual assignment process that most charge nurses or assistants currently use, which is slow, inefficient, and often unfair because of imbalanced workloads. Instead, ASSIGN automatically taps into a patient census from the electronic health record (EHR), along with data from the hospital’s nurse scheduling software. All major EHR systems and nurse scheduling software programs are compatible.
It applies protocols such as patient acuity, geography, continuity of care, and others simultaneously into order to intelligently match patients with the right nurses. Once the assignment process is completed, the final list is then automatically generated and distributed, either electronically or in print. The entire process takes minutes to complete, and can work in any unit and with any staff size, while at the same time requiring minimal IT staff involvement during implementation.
“Not only can ASSIGN for Nurses handle the complexity of balancing multiple protocols, but it does so quickly and easily,” says Eugene Schneider, President and CEO of MedAptus. “We wanted to create a product that specifically addresses one of the most pressing challenges nurses face. So much is affected by nurse workloads; it’s nice to be able to provide software that dramatically improves such an important nursing function as patient assignments.”
Studies show heavy nurse workloads can have a significant impact on patient safety and satisfaction, length of stays, and readmissions. Imbalanced workloads can also lead to frustration, feelings of unfairness, and even burnout. In 2016, MedAptus also launched ASSIGN for Physicians, which applies similar rules-based algorithms to rounding assignments.
Related Links:
MedAptus
The MedAptus (Boston, MA, USA) ASSIGN for Nurses platform replaces the cumbersome manual assignment process that most charge nurses or assistants currently use, which is slow, inefficient, and often unfair because of imbalanced workloads. Instead, ASSIGN automatically taps into a patient census from the electronic health record (EHR), along with data from the hospital’s nurse scheduling software. All major EHR systems and nurse scheduling software programs are compatible.
It applies protocols such as patient acuity, geography, continuity of care, and others simultaneously into order to intelligently match patients with the right nurses. Once the assignment process is completed, the final list is then automatically generated and distributed, either electronically or in print. The entire process takes minutes to complete, and can work in any unit and with any staff size, while at the same time requiring minimal IT staff involvement during implementation.
“Not only can ASSIGN for Nurses handle the complexity of balancing multiple protocols, but it does so quickly and easily,” says Eugene Schneider, President and CEO of MedAptus. “We wanted to create a product that specifically addresses one of the most pressing challenges nurses face. So much is affected by nurse workloads; it’s nice to be able to provide software that dramatically improves such an important nursing function as patient assignments.”
Studies show heavy nurse workloads can have a significant impact on patient safety and satisfaction, length of stays, and readmissions. Imbalanced workloads can also lead to frustration, feelings of unfairness, and even burnout. In 2016, MedAptus also launched ASSIGN for Physicians, which applies similar rules-based algorithms to rounding assignments.
Related Links:
MedAptus
Latest Patient Care News
- Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
- Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
- VR Training Tool Combats Contamination of Portable Medical Equipment
- Portable Biosensor Platform to Reduce Hospital-Acquired Infections
- First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
- Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

- Game-Changing Innovation in Surgical Instrument Sterilization Significantly Improves OR Throughput
- Next Gen ICU Bed to Help Address Complex Critical Care Needs
- Groundbreaking AI-Powered UV-C Disinfection Technology Redefines Infection Control Landscape
- Clean Hospitals Can Reduce Antibiotic Resistance, Save Lives
- Smart Hospital Beds Improve Accuracy of Medical Diagnosis
- New Fast Endoscope Drying System Improves Productivity and Traceability
- World’s First Automated Endoscope Cleaner Fights Antimicrobial Resistance
- Portable High-Capacity Digital Stretcher Scales Provide Precision Weighing for Patients in ER
- Portable Clinical Scale with Remote Indicator Allows for Flexible Patient Weighing Use
- Innovative and Highly Customizable Medical Carts Offer Unlimited Configuration Possibilities
Channels
Artificial Intelligence
view channelAI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read more
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read moreCritical Care
view channel
Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... Read more
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read moreSurgical Techniques
view channel
Ultrasound Technology Aims to Replace Invasive BPH Procedures
Benign prostatic hyperplasia (BPH) is a frequent cause of lower urinary tract symptoms in aging men and often requires invasive procedures or prolonged recovery. With prevalence expected to rise as populations... Read more
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read moreHealth IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel







