Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.

This perspective outlines the Artificial Intelligence and Technology Collaboratories (AITC) at Johns Hopkins University, University of Pennsylvania, and University of Massachusetts, highlighting their roles in developing AI-based technologies for older adult care, particularly targeting Alzheimer's disease (AD). These National Institute on Aging (NIA) centers foster collaboration among clinicians, gerontologists, ethicists, business professionals, and engineers to create AI solutions. Key activities include identifying technology needs, stakeholder engagement, training, mentoring, data integration, and navigating ethical challenges. The objective is to apply these innovations effectively in real-world scenarios, including in rural settings. In addition, the AITC focuses on developing best practices for AI application in the care of older adults, facilitating pilot studies, and addressing ethical concerns related to technology development for older adults with cognitive impairment, with the ultimate aim of improving the lives of older adults and their caregivers. HIGHLIGHTS: Addressing the complex needs of older adults with Alzheimer's disease (AD) requires a comprehensive approach, integrating medical and social support. Current gaps in training, techniques, tools, and expertise hinder uniform access across communities and health care settings. Artificial intelligence (AI) and digital technologies hold promise in transforming care for this demographic. Yet, transitioning these innovations from concept to marketable products presents significant challenges, often stalling promising advancements in the developmental phase. The Artificial Intelligence and Technology Collaboratories (AITC) program, funded by the National Institute on Aging (NIA), presents a viable model. These Collaboratories foster the development and implementation of AI methods and technologies through projects aimed at improving care for older Americans, particularly those with AD, and promote the sharing of best practices in AI and technology integration. Why Does This Matter? The National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITC) program's mission is to accelerate the adoption of artificial intelligence (AI) and new technologies for the betterment of older adults, especially those with dementia. By bridging scientific and technological expertise, fostering clinical and industry partnerships, and enhancing the sharing of best practices, this program can significantly improve the health and quality of life for older adults with Alzheimer's disease (AD).

Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach.

To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudge intervention with stakeholders (patients, providers, and technologists). We used a human-centred design approach to incorporate user needs in creating an AI-driven nudge tool. We report the findings of the first stage of a multi-phase project: understanding user needs and ideating solutions. We interviewed healthcare providers (n = 10) and patients (n = 10). Providers also rated example nudge interventions in a survey. Stakeholders felt the intervention could address existing deficits in medication adherence tracking and were optimistic about the solution. Participants identified flexibility of the intervention, including mode of delivery, intervention intensity, and the ability to stratify to user ability and needs, as critical success factors. Reminder nudges and provision of healthcare worker contact were rated highly by all. Conversely, patients perceived incentive-based nudges poorly. Finally, participants suggested that user burden could be minimised by leveraging existing software (rather than creating a new App) and simplifying or automating the data entry requirements where feasible. Stakeholder interviews generated in-depth data on the perspectives and requirements for the proposed solution. The participatory approach will enable us to incorporate user needs into the design and improve the utility of the intervention. Our findings show that an AI-driven nudge tool is an acceptable and appropriate solution, assuming it is flexible to user requirements.

Evaluation of a multidisciplinary care model to improve quality of life in rheumatoid arthritis: a randomised controlled trial.

BACKGROUND AND PURPOSE: Health-Related Quality of Life (HR-QOL) is an important patient-reported domain in patients with rheumatoid arthritis (RA). The uptake of multidisciplinary team (MDT) care in RA is generally low, due to initial high demand for resources. We hypothesised that whilst pharmacological treatments are effective in controlling disease activity, a multipronged intervention in an MDT may have a positive impact on HR-QOL. METHODS: This was a single-centre randomized parallel group, single-blind controlled trial of MDT vs. usual care in an established RA clinic. Data were collected through face-to-face questionnaires, medical records review, and joint counts by a blinded assessor at 0, 3 and 6 months. Adult RA patients were randomly assigned in a single visit to a 6-member MDT (rheumatologist, nurse, social worker, physiotherapist, occupational therapist, and podiatrist) or usual care. MDT providers prescribed medications and counselled patients on managing flares, medication adherence, coping, joint protection, exercise, footwear. The primary outcome was minimal clinically important difference (MCID) in HR-QOL (increase in European QOL-5-Dimension-3-Level, EQ-5D-3L by 0.1) at six months. RESULTS: 140 patients (86.3% female, 53.4% Chinese, median (IQR) age 56.6 (46.7, 62.4) years); 70 were randomized to each arm. Median (IQR) disease duration was 5.5 (2.4, 11.0) years and disease activity in 28 joints (DAS28) was 2.87 (2.08, 3.66). 123 patients completed the study. Twenty-six (40.6%) MDT vs. 23 (34.3%) usual care patients achieved an MCID in EQ-5D-3L, OR 1.3 (0.6, 2.7). In multivariable logistic regression, baseline EQ-5D-3L was the only predictor of achieving MCID. There was more disease modifying anti-rheumatic drug escalation in MDT (34.4% vs. 19.4%). Patients with high disease activity were more likely to achieve MCID in the MDT arm. CONCLUSIONS: A single visit by stable patients with low disease activity to an MDT failed to achieve MCID in the EQ-5D-3L; however, did achieve small but significant improvements in the EQ-5D-3L, DAS28, pain, coping and self-efficacy. To be sustainable, MDT care should be targeted at patients with high disease activity or those with a new diagnosis of RA. TRIAL REGISTRATION: The study is registered on ClinicalTrials.gov, identifier: NCT03099668.

The Association Between Timing of Elective Surgery Scheduling and Operating Theater Utilization: A Cross-Sectional Retrospective Study.

BACKGROUND: Overutilization of operating theaters (OTs) occurs when actual surgery duration exceeds scheduled duration, which could potentially result in delays or cancelations in subsequent surgeries. We investigate the association between the timing of elective surgery scheduling and OT overutilization. METHODS: A cross-sectional retrospective study was conducted using electronic health record data of 27,423 elective surgeries from July 1, 2016, to July 31, 2018, at a mid-Atlantic academic medical center with 56 OTs. The scheduling precision of each surgery is measured using the ratio of the actual (A) over the scheduled or forecast (F) length of surgery to derive the predictor variable of A/F (actual-to-forecast ratio [AF]). Student t test and χ2 tests analyzed differences between OTs reserved within and over 7 days of surgery for continuous and dichotomous variables, respectively. Hierarchical regression models, controlling for potential confounds from the hospital environment, clinicians' work experience and workloads, patient factors, scheduled OT length, and operational and team factors isolated the association between OTs reserved within 7 days of the elective surgery with AF. RESULTS: The Student t test indicates that OTs reserved within 7 days of surgery had significantly higher AF (1.13 ± 0.53 vs 1.08 ± 0.41; P < .001). In-depth Student t test analyses for 4 patient groups, namely, outpatient, extended recovery, admission after surgery, and inpatient, indicate that AF was only significantly different for OTs reserved within 7 days for the admission after surgery group (1.15 ± 0.47 vs 1.09 ± 0.35; P < .001) but did not reach statistical significance among the outpatient, extended recovery, and inpatient groups. After controlling for potential confounds, hierarchical regression for the admission after surgery group reveals that OTs reserved within 7 days took 2.7% longer than the scheduled length of surgery (AFbeta, 0.027; 95% CI, 0.003-0.051; P = .027). CONCLUSIONS: Elective surgeries scheduled within 7 days of surgery were associated with significantly higher likelihood of OT overutilization for surgical patients who will be admitted after surgery. Further studies at other hospitals and a longer period of time are needed to ascertain a potential "squeeze-in" effect.

Evaluation of house staff candidates for program fit: a cohort-based controlled study.

BACKGROUND: Medical school academic achievements do not necessarily predict house staff job performance. This study explores a selection mechanism that improves house staff-program fit that enhances the Accreditation Council for Graduate Medical Education Milestones performance ratings. OBJECTIVE: Traditionally, house staff were selected primarily on medical school academic performance. To improve residency performance outcomes, the Program designed a theory-driven selection tool to assess house staff candidates on their personal values and goals fit with Program values and goals. It was hypothesized cohort performance ratings will improve because of the intervention. METHODS: Prospective quasi-experimental cohort design with data from two house staff cohorts at a university-based categorical Internal Medicine Residency Program. The intervention cohort, comprising 45 house staff from 2016 to 2017, was selected using a Behaviorally Anchored Rating Scales (BARS) tool for program fit. The control cohort, comprising 44 house staff from the prior year, was selected using medical school academic achievement scores. House staff performance was evaluated using ACGME Milestones indicators. The mean scores for each category were compared between the intervention and control cohorts using Student's t-tests with Bonferroni correction and Cohen's d for effect size. RESULTS: The cohorts were no different in academic performance scores at time of Program entry. The intervention cohort outperformed the control cohort on all 6 dimensions of Milestones by end-PGY1 and 3 of 6 dimensions by mid-PGY3. CONCLUSION: Selecting house staff based on compatibility with Residency Program values and objectives may yield higher job performance because trainees benefit more from a better fit with the training program.

Using Incentives and Nudging to Improve Non-Targeted HIV Testing in Ecuador: A Randomized Trial.

Under-detection of HIV/AIDS still burdens many low- and middle-income countries (LMICs). Our randomized trial investigated the effects of financial incentives and a behavioral nudge to induce HIV testing and learning HIV status in Ecuador. In the control group, 12.2% of participants agreed to testing, and 5.3% learned results. A financial incentive paid at testing increased the fraction of participants tested by 50.1 percentage points (95% CI 38.8 to 61.4) and the fraction who learned their status by 8.9 percentage points (95% CI 5.3 to 12.5); the nudge had no effect. The HIV-positive rate was 1.2% in the control group, and incentives prompted a 4.7 percentage point (95% CI 0.5 to 8.9) higher proportion of HIV-positive detection. Incentives also induced earlier testing, suggesting reduced procrastination. This suggests that information with appropriately timed small financial incentives can improve HIV testing and detection of new cases in the general population in LMIC settings.

The valorization of non-patent intellectual property in academic medical centers.

Turning university research output into useful products such as drugs, devices and diagnostics requires skills, knowledge, and resources traditionally attributed to private industry. When it comes to intangibles such as care delivery models, informatics and algorithms, and the software behind smart wearables, the commercialization challenges are even greater. With notable exceptions, Academic Medical Centers have typically not excelled in advancing commercialization of such non-patent intellectual property (IP). We believe that this is in part because the traditional closed form university IP policy, formulated since Bayh-Dole (1980), is ill-suited to non-patent IP. In this paper, we reflect on the evolving challenges that new forms of healthcare-related discoveries, specifically non-patent IP, are placing on the traditional university intellectual property and technology transfer regime, and to offer suggestions on how universities can begin to modernize their IP policies to support the valorization of non-patent IP.

Quality improvement at an acute medical unit in an Asian Academic Center: A mixed methods study of nursing work dynamics.

BACKGROUND: The acute medical unit (AMU) provides early specialist care to emergency department patients before inpatient admission. The workflows and skills for successful AMU nursing comprise a hybrid of internal and emergency medicine. PURPOSE: To understand nursing work dynamics in the AMU. METHODS: AMU at a 1,250-bed tertiary academic center in Singapore with 14,000 ED presentations monthly. Retrospective mixed methods study using focus group discussions and surveys. Fifteen nurses across three focus group discussions. Thirty-two physicians and 54 nurses responded to a validated questionnaire. FINDINGS: Focus group discussions transcripts content analyzed by two researchers. Survey items factor analyzed and attitudinal differences between AMU physicians and nurses, and among nurses compared using Student's t- and one-way ANOVA tests. DISCUSSION: AMU nursing staff faced obstacles of inadequate patient information, emergency department onboarding, unbalanced workload, and coworker conflicts, which led to them to develop processes and checklists to manage patient information, patient expectations, and teamwork. CONCLUSION: AMU nursing requires a combination of specialist internal medicine and emergency medicine skills. Training should familiarize nurse workforce with managing patient expectations and multidisciplinary teamwork.

Factors associated with prolonged length of stay for elective hepatobiliary and neurosurgery patients: a retrospective medical record review.

BACKGROUND: Patients with prolonged length of hospital stay (LOS) not only increase their risks of nosocomial infections but also deny other patients access to inpatient care. Hepatobiliary (HPB) malignancies have some of highest incidences in East and Southeast Asia and the management of patients undergoing HPB surgeries have yet to be standardized. With improved neurosurgery techniques for intracranial aneurysms and tumors, neurosurgeries (NS) can be expected to increase. Elective surgeries account for far more operations than emergencies surgeries. Thus, with potentially increased numbers of elective HPB and NS, this study seeks to explore perioperative factors associated with prolonged LOS for these patients to improve safety and quality of practice. METHODS: A retrospective cross-sectional medical record review study from January 2014 to January 2015 was conducted at a 1250-bed tertiary academic hospital in Singapore. All elective HPB and NS patients over 18 years old were included in the study except day and emergency surgeries, resulting in 150 and 166 patients respectively. Prolonged LOS was defined as above median LOS based on the complexity of the surgical procedure. The predictor variables were preoperative, intraoperative, and postoperative factors. Student's t-test and stepwise logistic regression analyses were conducted to determine which factors were associated with prolonged LOS. RESULTS: Factors associated with prolonged LOS for the HPB sample were age and admission after 5 pm but for the NS sample, they were functional status, referral to occupational therapy, and the number of hospital-acquired infections. CONCLUSION: Our findings indicate that preoperative factors had the greatest association with prolonged LOS for HPB and NS elective surgeries even after adjusting for surgical complexity, suggesting that patient safety and quality of care may be improved with better pre-surgery patient preparation and admission practices.

Impact of inpatient Care in Emergency Department on outcomes: a quasi-experimental cohort study.

BACKGROUND: Hospitals around the world are faced with the issue of boarders in emergency department (ED), patients marked for admission but with no available inpatient bed. Boarder status is known to be associated with delayed inpatient care and suboptimal outcomes. A new care delivery system was developed in our institution where boarders received full inpatient care from a designated medical team, acute medical team (AMT), while still residing at ED. The current study examines the impact of this AMT intervention on patient outcomes. METHODS: We conducted a retrospective quasi-experimental cohort study to analyze outcomes between the AMT intervention and conventional care in a 1250-bed acute care tertiary academic hospital in Singapore. Study participants included patients who received care from the AMT, a matched cohort of patients admitted directly to inpatient wards (non-AMT) and a sample of patients prior to the intervention (pre-AMT group). Primary outcomes were length of hospital stay (LOS), early discharges (within 24 h) and bed placement. Secondary outcomes included unplanned readmissions within 3 months, and patient's bill size. χ2- and Mann-Whitney U tests were used to test for differences between the cohorts on dichotomous and continuous variables respectively. RESULTS: The sample comprised of 2279 patients (1092 in AMT, 1027 in non-AMT, and 160 in pre-AMT groups). Higher rates of early discharge (without significant differences in the readmission rates) and shorter LOS were noted for the AMT patients. They were also more likely to be admitted into a ward allocated to their discipline and had lower bill size compared to non AMT patients. CONCLUSIONS: The AMT intervention improved patient outcomes and resource utilization. This model was noted to be sustainable and provides a potential solution for hospitals' ED boarders who face a gap in inpatient care during their crucial first few hours of admissions while waiting for an inpatient bed.

A qualitative study of sign-out processes between primary and on-call residents: relationships in information exchange, responsibility and accountability.

OBJECTIVE: To review a quality improvement event on the process of sign-outs between the primary and on-call residents. DESIGN: A retrospective qualitative study using semi-structured interviews. SETTING: A tertiary academic medical center in Singapore with 283 inpatient Medicine beds served by 28 consultants, 29 registrars, 45 residents and 30 interns during the day but 5 residents and 3 interns at night. PARTICIPANTS: Residents, registrars and consultants. INTERVENTION: Quality improvement event on sign-out. MAIN OUTCOME: Effectiveness of sign-out comprises exchange of patient information, professional responsibility and task accountability. RESULTS: The following process of sign-outs was noted. Primary teams were accountable to the on-call resident by selecting at-risk patients and preparing contingency plans for sign-out. Structured information exchanged included patient history, active problems and plans of care. On-call residents took ownership of at-risk patients by actively asking questions during sign-out and reporting back the agreed care plan. On-call residents were accountable to the primary team by reporting back at-risk patients the next day. CONCLUSION: A structured information exchange at sign-out increased the on-call resident's ability to care for at-risk patients when it was supported by two-way transfers of responsibility and accountability.

Associations between vasodilatory capacity, physical activity and sleep among younger and older adults.

INTRODUCTION: Exercise promotes cardiovascular health through its direct impact on the vascular endothelium. Conversely, poor sleep quality is associated with endothelial dysfunction, which may explain the increased cardiovascular disease amongst poor sleepers. Yet, the influence of physical activity and poor sleep quality on vascular health is not clear. PURPOSE: This study examined the relationships between forearm vasodilatory capacity, self-reported sleep quality and free-living, actigraphy-derived energy expenditure in a group of young and older community dwelling adults. METHODS: Venous occlusion plethysmography determined baseline and peak forearm blood flow following reactive hyperemia. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Measures of body composition were assessed using dual energy X-ray absorptiometry. RESULTS: A total of 104 (61 young; 43 old) participants completed the study. In general, younger participants were more active, as determined by steps per day and average daily energy expenditure, but reported poorer sleep quality. In the combined sample, those who reported moderate sleep disturbances (PSQI total score; 11-15) had significantly lower vasodilatory capacity (16.8 ± 7.6 ml/100 ml/min) compared to those who reported no sleep disturbance (PSQI total score; 0-5) (22.3 ± 7.2 ml/100 ml/min) or mild sleep disturbance (PSQI total score; 6-10) (22.3 ± 8.1 ml/100 ml/min) (p < 0.01). After adjustment for physical activity, total body fat and age, moderately poor sleep remained an independent predictor of forearm vasodilatory capacity. CONCLUSIONS: These findings suggest that any positive vascular benefits accrued through increased physical activity might be offset by the negative consequences of chronically disturbed sleep.

Handoffs, safety culture, and practices: evidence from the hospital survey on patient safety culture.

BACKGROUND: The context of the study is the Agency for Healthcare Research and Quality's Hospital Survey on Patient Safety Culture (HSOPSC). The purpose of the study is to analyze how different elements of patient safety culture are associated with clinical handoffs and perceptions of patient safety. METHODS: The study was performed with hierarchical multiple linear regression on data from the 2010 Survey. We examine the statistical relationships between perceptions of handoffs and transitions practices, patient safety culture, and patient safety. We statistically controlled for the systematic effects of hospital size, type, ownership, and staffing levels on perceptions of patient safety. RESULTS: The main findings were that the effective handoff of information, responsibility, and accountability were necessary to positive perceptions of patient safety. Feedback and communication about errors were positively related to the transfer of patient information; teamwork within units and the frequency of events reported were positively related to the transfer of personal responsibility during shift changes; and teamwork across units was positively related to the unit transfers of accountability for patients. CONCLUSIONS: In summary, staff views on the behavioral dimensions of handoffs influenced their perceptions of the hospital's level of patient safety. Given the known psychological links between perception, attitude, and behavior, a potential implication is that better patient safety can be achieved by a tight focus on improving handoffs through training and monitoring.

Development and validation of the Dermatology Social Comparison (DSC) Scale.

BACKGROUND: Social comparison, the process of evaluating one's characteristics in relation to others, influences individuals' self-perception and behavior. However, instruments are scarce for assessing social comparison in the medical setting. OBJECTIVES: Our aim was to develop and validate a new scale for assessing social comparison. MATERIALS AND METHODS: Seven statements were developed, encompassing the perceived normality of having rashes, the tendency to compare their situation with others, and the emotional response when seeing someone better or worse off than themselves. The instrument was piloted in 15 patients for readability and face validity, then prospectively validated using modern psychometric methods in 1,053 adult patients with eczema or psoriasis from three tertiary dermatological centers in Singapore. RESULTS: Of 1,053 adult patients, 802 (76.2%) had eczema, and 251 (23.8%) had psoriasis. Exploratory factor analysis (using a 70% sample split) showed a single factor model comprising three questions (Eigenvalue: 1.4). Confirmatory factor analysis with the remaining 30% of the sample confirmed an excellent model fit. Cronbach's alpha was 0.7, and inter-item correlations ranged from 0.42 to 0.46. In the Rasch analysis, item fit statistics and item characteristic curves showed appropriate discrimination between response options, although reliability was suboptimal with a person separation reliability of 0.63. CONCLUSIONS: Comprising 3 questions, the newly derived social comparison scale showed acceptable psychometrics as a measure of social comparison for clinical and research purposes in dermatology. Its brief nature likely results from its brevity and applicability to conditions beyond eczema and psoriasis, which warrants further investigation.