Dr. Daily's research spans several important areas in healthcare, particularly related to surgical care and hospital efficiency. He studies how to prepare patients for procedures like colonoscopies in ways that can save time in hospitals, particularly for older patients or those with certain medical conditions. His work also includes using data modeling to predict hospital needs during crises like the COVID-19 pandemic, which helps hospitals manage patient loads more effectively. Additionally, he has developed machine learning tools to streamline the discharge process for surgical patients, aiming to free up hospital resources and reduce overcrowding.
Key findings
Patients using low-volume bowel preparation for colonoscopy had their procedures done about 0.5 days sooner compared to those using standard preparations.
A hospital model accurately predicted daily occupancy during the COVID-19 recovery phase with an error of only 2.8%, improving planning for patient demand.
Standardizing surgical supply lists for laparoscopic cholecystectomy reduced supply costs by approximately $21,650 each year.
Patients in a new operating room setup experienced reduced wait times of about 11 minutes and surgery times decreased by nearly 14 minutes, allowing an extra 2 patients to be treated each day.
Direct-from-PACU (Post-Anesthesia Care Unit) discharges allowed 66% of patients to go home on the same day of surgery, which reduced hospital stays by an average of 3.2 hours.
Frequently asked questions
Does Dr. Daily study colonoscopy procedures?
Yes, he studies how different bowel preparation methods affect the timing of colonoscopies, particularly for hospitalized patients.
What improvements has Dr. Daily made in surgical care?
He has developed models to aid discharge processes, reduce delays in patient transfers, and standardize surgical supplies to lower costs.
Is Dr. Daily's research relevant during health crises?
Yes, his work on data modeling for COVID-19 has provided hospitals with tools to better prepare for surges and manage patient care.
How does Dr. Daily's work benefit patients?
His research aims to reduce wait times, lower surgical costs, and improve overall patient flow within hospitals.
What technologies has Dr. Daily developed for hospital efficiency?
He has created machine learning models to manage patient discharge processes and implemented web-based applications to streamline patient recovery.
Publications in plain English
The Power of Modeling in Emergency Preparedness for COVID-19: A Moonshot Moment for Hospitals.
2022
Disaster medicine and public health preparedness
Safavi KC, Prestipino AL, Zenteno Langle AC, Copenhaver M, Hu M +4 more
Plain English This study looked at how hospitals could better prepare for surges in COVID-19 cases by using data models to predict hospitalizations. The researchers found that hospitals, including theirs, faced significant challenges without specific projections tailored to their needs, stressing the importance of having a strong team combining data experts and clinical leaders. By developing targeted models, they could better plan for patient demand and ensure they were never overwhelmed.
Who this helps: This research benefits hospitals and healthcare providers, as well as patients who require care during health crises.
Low-Volume Bowel Preparation Is Associated With Reduced Time to Colonoscopy in Hospitalized Patients: A Propensity-Matched Analysis.
2022
Clinical and translational gastroenterology
Sun CLF, Li DK, Zenteno AC, Bravard MA, Carolan P +9 more
Plain English This study looked at how different bowel preparation methods before a colonoscopy affect how quickly patients can get the procedure done while they are in the hospital. They found that patients who used a low-volume bowel preparation (LV-BP) had their colonoscopies about half a day sooner than those who used the standard high-volume preparation (HV-BP), but both methods worked equally well in prepping the bowel. Specifically, older patients, those with chronic kidney disease, and those hospitalized due to gastrointestinal bleeding benefitted the most from using the LV-BP.
Who this helps: This helps hospitalized patients, especially older patients and those with certain medical conditions.
Design and Performance of a COVID-19 Hospital Recovery Model.
2021
Annals of surgery open : perspectives of surgical history, education, and clinical approaches
Hu M, Copenhaver M, Langle ACZ, Koehler A, Daily B +3 more
Plain English This study focused on creating a model to predict how many patients would be in a hospital during the recovery phase after a COVID-19 surge. The researchers found that their model accurately predicted daily hospital occupancy with an overall error of only 2.8%, meaning it was only off by about 22 patients a day. This is important because it helps hospitals plan effectively to have enough space for emergency patients while also allowing important scheduled surgeries to happen.
Who this helps: This helps hospitals and healthcare planners.
Achieving Surgical Supply Savings through Preference Card Standardization.
2020
Journal of medical systems
Geppert P, Daily B, Casanova S
Plain English This study focused on how different surgeons' supply lists (called preference cards) for Laparoscopic Cholecystectomies varied and contributed to higher costs. By standardizing these supply lists, the researchers found they could save around $21,650 each year on supplies for this procedure. This is important because it shows that standardizing surgical supplies can lower costs without compromising care.
Who this helps: Patients and hospitals benefit from reduced surgical costs.
Non-clinical delays in transfer out of the surgical ICU are associated with increased hospital length of stay and delayed progress of care.
2019
Journal of critical care
Safavi KC, Furtado J, Zenteno Langle AC, Scheinker D, Schmidt U +3 more
Plain English This study looked at how delays in transferring patients from the surgical ICU to a regular hospital unit affect their hospital stay and the timing of their care. Researchers found that when patients waited more than 12 hours for transfer, their hospital stays increased by an average of 0.70 days, and important care decisions were made 0.35 days later than they should have been. This matters because reducing delays in patient transfers can lead to shorter hospital stays and faster medical decisions, improving overall patient care.
Who this helps: Patients and healthcare providers.
Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care.
2019
JAMA network open
Safavi KC, Khaniyev T, Copenhaver M, Seelen M, Zenteno Langle AC +4 more
Plain English This study focused on developing a machine learning model to help hospitals identify which surgical patients could be discharged within 24 hours and what might delay their discharge. The model analyzed data from over 15,000 patients and achieved a success rate of 84%, outperforming existing methods. By pinpointing various barriers to discharge, such as clinical issues and administrative delays, the model could potentially free up hospital beds more efficiently, which is crucial in tackling patient overcrowding.
Who this helps: This benefits patients who need timely surgical care, doctors managing hospital resources, and healthcare facilities facing overcrowding issues.
INCOMING!--A web tracking application for PACU and post-surgical patients.
2006
The Journal of surgical research
Meyer MA, Sokal SM, Sandberg W, Chang Y, Daily B +1 more
Plain English This study focused on a new web-based tool called INCOMING! designed to improve the flow of patients from the post-anesthesia care unit (PACU) to surgical wards. Researchers found that using this system reduced the average time patients spent in the PACU from 235 minutes to 185 minutes, making discharges quicker and more efficient. This is important because it helps hospitals manage patient traffic better, leading to more effective use of resources and faster recovery for patients after surgery.
Who this helps: Patients who undergo surgery benefit from quicker discharge and recovery times.
Reorganizing patient care and workflow in the operating room: a cost-effectiveness study.
2006
Surgery
Stahl JE, Sandberg WS, Daily B, Wiklund R, Egan MT +4 more
Plain English The study looked at whether redesigning the operating room (OR) and staffing could make surgeries faster and more efficient. Researchers found that by using a new OR setup, patient wait times were reduced by about 11 minutes, surgery times decreased by nearly 14 minutes, and overall patient flow through the OR improved, allowing for an extra 2 patients to be treated each day. Although the cost per patient in the new OR was slightly higher at $3,165 compared to $2,645 in traditional ORs, the productivity gains make it a valuable change, especially for shorter surgeries.
Who this helps: This benefits patients by reducing their wait and procedure times, allowing more people to receive care each day.
Plain English This study looked at how discharging patients who had laparoscopic gallbladder surgery directly from the recovery area (PACU) instead of from a hospital bed impacted hospital operations and finances. They found that 66% of patients could go home the same day of surgery when discharged from the PACU, compared to just 29% in the previous year, which saved hospital resources and reduced stays by an average of 3.2 hours. Additionally, costs for these PACU discharges were cut by 40% to 50%, while maintaining the hospital's overall financial performance.
Who this helps: This benefits hospitals, patients undergoing gallbladder surgery, and their caregivers by improving efficiency and reducing costs.
Deliberate perioperative systems design improves operating room throughput.
2005
Anesthesiology
Sandberg WS, Daily B, Egan M, Stahl JE, Goldman JM +2 more
Plain English This study looked at how changing the design and workflow of operating rooms (ORs) can make them more efficient. The researchers created a new OR setup that allowed surgical activities to happen alongside other necessary processes, like patient recovery, which reduced the non-surgical waiting time from 67 minutes to 38 minutes. As a result, the new OR was able to handle more surgeries each day without increasing costs for the hospital, making it a win-win for both efficiency and revenue.
Who this helps: This benefits patients and hospitals by increasing the number of surgeries that can be performed.
Perchlorate and nitrate remediation efficiency and microbial diversity in a containerized wetland bioreactor.
2005
International journal of phytoremediation
Krauter P, Daily B, Dibley V, Pinkart H, Legler T
Plain English This study focused on a system called a wetland bioreactor designed to clean up two harmful chemicals, perchlorate and nitrate, from polluted groundwater. Over more than two years of operation, the bioreactor successfully reduced perchlorate levels from 14-27 micrograms per liter and nitrate from 48 milligrams per liter while supporting a variety of bacteria that help in the clean-up process. The presence of bacteria that can reduce these chemicals is important, as it shows that this method can be effective for long-term environmental remediation.
Who this helps: This benefits communities relying on clean groundwater, environmental engineers, and researchers involved in pollution cleanup.
Automatic detection and notification of "wrong patient-wrong location'' errors in the operating room.
2005
Surgical innovation
Sandberg WS, Häkkinen M, Egan M, Curran PK, Fairbrother P +4 more
Plain English This study focused on creating a system to automatically detect when a patient is in the wrong operating room, which can lead to serious errors. The system correctly identified all wrong-room situations almost immediately, taking an average of just 0.5 minutes to alert hospital staff. This matters because it can help prevent dangerous mistakes in surgeries and ensure that patients receive the right treatment in the right place.
Who this helps: This helps patients and hospital staff by ensuring safer surgical procedures.
An electrically powered total artificial heart. Over 1 year survival in the calf.
1992
ASAIO journal (American Society for Artificial Internal Organs : 1992)
Snyder AJ, Rosenberg G, Reibson J, Donachy JH, Prophet GA +5 more
Plain English In this study, researchers implanted an electrically powered artificial heart in a calf to test how well it works over time. The calf lived for over a year before being euthanized due to heart failure, while three other calves with the same heart lived for 131, 134, and 204 days. The findings show that this artificial heart is promising for long-term use and could be compatible with the body.
Who this helps: This benefits patients with severe heart issues who might need artificial heart solutions.
Cell poking. Determination of the elastic area compressibility modulus of the erythrocyte membrane.
1984
Biophysical journal
Daily B, Elson EL, Zahalak GI
Plain English In this study, researchers used a method called "cell poking" to examine the mechanical properties of human red blood cells. They found that the force required to indent these cells ranged from about 17.9 to 34.8 millidyne per micron, depending on the conditions surrounding the cells. This research is important because understanding the elasticity of red blood cells can help improve treatments for conditions affecting blood health.
Who this helps: This benefits patients with blood disorders and doctors treating them.
Cross-linking surface immunoglobulin increases the stiffness of lymphocytes.
1984
Molecular immunology
Elson EL, Pasternak C, Daily B, Young JI, McConnaughey WB
Plain English Researchers studied how cross-linking surface immunoglobulins (sIg) on B-lymphocytes makes these immune cells stiffer. They found that when they used specific antibodies to cross-link sIg, the stiffness of the cells increased significantly, indicating that they can change their shape more readily. This is important because it shows that the physical properties of lymphocytes play a role in how they function, which could influence immune responses.
Who this helps: This benefits patients with immune system disorders, as understanding these cellular mechanics can lead to better treatments.
Ana Cecilia Zenteno Langle Warren S Sandberg Retsef Levi Kyan C Safavi Martin Copenhaver Wilton C Levine E L Elson Peter Dunn Michael Hu Allison Koehler
Physician data sourced from the
NPPES NPI Registry
.
Publication data from
PubMed
.
Plain-English summaries generated by AI.
Not medical advice.