Electronic Health Information Research Articles

Association between eHealth literacy and health outcomes in German athletes using the GR-eHEALS questionnaire: a validation and outcome study

BackgroundAthletes face various sports-related stressors, which may increase their risk for physical and mental health symptoms. With the internet as an important source of (health) information, it is important for athletes to have eHealth literacy, i.e. the ability to access, understand and use electronic health information and services. However, it is presently uncertain whether eHealth literacy of athletes is linked to better health outcomes such as reduced injury frequency and behaviours like decreased substance abuse.MethodsA cross-sectional study was conducted with N = 373 German athletes (229 females) from different types of sport (e.g., ball sports and water sports) who were included in the statistical analyses. The survey included medical, socio-demographic, eHealth- and sports-related data as well as the eHealth Literacy Scale (GR-eHEALS) questionnaire, which measures eHealth literacy. Confirmatory factor analyses and correlational analyses were performed to determine the convergent and discriminant (compared to the 8-item Impulsive Behavior–8 Scale) validity of the GR-eHEALS and to assess the relation between eHealth literacy scores and health outcomes.ResultsThe more frequently athletes had sustained minor or moderate injuries in the past, the higher the level of eHealth literacy they reported. Furthermore, consumption frequency of painkillers (r = .18, p = .002), sedatives (r = .12, p = .040), and cannabis (r = .29, p = .000) was significantly correlated with eHealth literacy scores. The confirmatory factor analysis of the GR-eHEALS showed an acceptable model fit with a 2-factor solution (information seeking and information appraisal). The GR-eHEALS showed good discriminant (r = − .09, p = .21) and convergent validity (digital confidence; r = .28, p < .001).ConclusionThe GR-eHEALS is a valid instrument to assess eHealth literacy within the cohort of German athletes. Potential dangers of dealing with injury and psychological strain without reaching out for professional help should be considered.

E-Health: Security, Privacy, and Ethics Requirements from a National Perspective in I. R. Iran.

This paper explores the security, privacy, and ethical implications of e-health data in Iran's healthcare network. A framework is proposed to ensure security and privacy in electronic health information processing across various institutions. The framework addresses aspects such as software/hardware, communication networks, patient safety, privacy, confidentiality, online health service regulations, commercial and judicial exploitation, and education/research. The study categorizes these requirements into seven main categories to safeguard health-oriented service recipients' security and privacy.

Improving Sexual History Documentation in Teenagers.

Teen access to sexual health care is essential. The 21st Century Cures Act mandates that most electronic health information be shared with patients; no standard exists for how to meet this mandate for teens and their proxy caregivers. Our confidential shared teen sexual history (SexHx) section, which is not note-based, allows clinicians to easily find information, promotes clinical decision support, and protects privacy. Nevertheless, significant variability existed in SexHx section usage, SexHx documentation, and teen note-sharing practices. For teens (aged 12-17) admitted to the Pediatric Hospital Medicine service, we aim to increase the use of the SexHx section by 10% and increase History and Physical notes (H&Ps) shared with teens by 5% over 12 months. Quality improvement methodology and tools were used to conduct a barrier analysis and implement a series of interventions, which included education, training, and electronic health record clinical decision support. Statistical process control charts were used to examine the impact of the interventions. At baseline, from April to July 2021, sexual activity was documented or reviewed in the SexHx section for 56% of teen patients. Over the intervention period, the center line shifted to 72%. At baseline, 76% of teen H&Ps were shared with patients. The percentage of H&Ps shared revealed a center-line shift to 81% throughout the intervention period. The shared teen SexHx section is an innovative tool for capturing sensitive patient history discretely. We demonstrated increased and sustained SexHx section use and H&P note-sharing in this quality improvement initiative.

IT-Related Barriers and Facilitators to the Implementation of a New European eHealth Solution, the Digital Survivorship Passport (SurPass Version 2.0): Semistructured Digital Survey.

To overcome knowledge gaps and optimize long-term follow-up (LTFU) care for childhood cancer survivors, the concept of the Survivorship Passport (SurPass) has been invented. Within the European PanCareSurPass project, the semiautomated and interoperable SurPass (version 2.0) will be optimized, implemented, and evaluated at 6 LTFU care centers representing 6 European countries and 3 distinct health system scenarios: (1) national electronic health information systems (EHISs) in Austria and Lithuania, (2) regional or local EHISs in Italy and Spain, and (3) cancer registries or hospital-based EHISs in Belgium and Germany. We aimed to identify and describe barriers and facilitators for SurPass (version 2.0) implementation concerning semiautomation of data input, interoperability, data protection, privacy, and cybersecurity. IT specialists from the 6 LTFU care centers participated in a semistructured digital survey focusing on IT-related barriers and facilitators to SurPass (version 2.0) implementation. We used the fit-viability model to assess the compatibility and feasibility of integrating SurPass into existing EHISs. In total, 13/20 (65%) invited IT specialists participated. The main barriers and facilitators in all 3 health system scenarios related to semiautomated data input and interoperability included unaligned EHIS infrastructure and the use of interoperability frameworks and international coding systems. The main barriers and facilitators related to data protection or privacy and cybersecurity included pseudonymization of personal health data and data retention. According to the fit-viability model, the first health system scenario provides the best fit for SurPass implementation, followed by the second and third scenarios. This study provides essential insights into the information and IT-related influencing factors that need to be considered when implementing the SurPass (version 2.0) in clinical practice. We recommend the adoption of Health Level Seven Fast Healthcare Interoperability Resources and data security measures such as encryption, pseudonymization, and multifactor authentication to protect personal health data where applicable. In sum, this study offers practical insights into integrating digital health solutions into existing EHISs.

Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients.

There is limited literature describing care coordination for patients with glioblastoma (GBM). We aimed to investigate the impact of primary care and electronic health information exchange (HIE) between neurosurgeons, oncologists, and primary care providers (PCP) on GBM treatment patterns, postoperative outcomes, and survival. We identified adult GBM patients undergoing primary resection at our institution (2007-2020). HIE was defined as shared electronic medical information between PCPs, oncologists, and neurosurgeons. Multivariate logistic regression analyses were used to determine the effect of PCPs and HIE upon initiation and completion of adjuvant therapy. Kaplan-Meier and multivariate Cox regression models were used to evaluate overall survival (OS). Among 374 patients (mean age ± SD: 57.7 ± 13.5, 39.0% female), 81.0% had a PCP and 62.4% had electronic HIE. In multivariate analyses, having a PCP was associated with initiation (OR: 7.9, P < 0.001) and completion (OR: 4.4, P < 0.001) of 6 weeks of concomitant chemoradiation, as well as initiation (OR: 4.0, P < 0.001) and completion (OR: 3.0, P = 0.007) of 6 cycles of maintenance temozolomide thereafter. Having a PCP (median OS [95%CI]: 14.6[13.1-16.1] vs. 10.8[8.2-13.3] months, P = 0.005) and HIE (15.40[12.82-17.98] vs. 13.80[12.51-15.09] months, P = 0.029) were associated with improved OS relative to counterparts in Kaplan-Meier analysis and in multivariate Cox regression analysis (hazard ratio [HR] = 0.7, [95% CI] 0.5-1.0, P = 0.048). In multivariate analyses, chemoradiation (HR = 0.34, [95% CI] 0.2-0.7, P = 0.002) and maintenance temozolomide (HR = 0.5, 95%CI 0.3-0.8, P = 0.002) were associated with improved OS relative to counterparts. Effective care coordination between neurosurgeons, oncologists, and PCPs may offer a modifiable avenue to improve GBM outcomes.

The Red Cross Red Crescent Health Information System (RCHIS): an electronic medical records and health information management system for the red cross red crescent emergency response units

BackgroundThe Red Cross and Red Crescent Movement (RCRC) utilizes specialized Emergency Response Units (ERUs) for international disaster response. However, data collection and reporting within ERUs have been time-consuming and paper-based. The Red Cross Red Crescent Health Information System (RCHIS) was developed to improve clinical documentation and reporting, ensuring accuracy and ease of use while increasing compliance with reporting standards.Case presentationRCHIS is an Electronic Medical Record (EMR) and Health Information System (HIS) designed for RCRC ERUs. It can be accessed on Android tablets or Windows laptops, both online and offline. The system securely stores data on Microsoft Azure cloud, with synchronization facilitated through a local ERU server. The functional architecture covers all clinical functions of ERU clinics and hospitals, incorporating user-friendly features. A pilot study was conducted with the Portuguese Red Cross (PRC) during a large-scale event. Thirteen super users were trained and subsequently trained the staff. During the four-day pilot, 77 user accounts were created, and 243 patient files were documented. Feedback indicated that RCHIS was easy to use, requiring minimal training time, and had sufficient training for full utilization. Real-time reporting facilitated coordination with the civil defense authority.ConclusionsThe development and pilot use of RCHIS demonstrated its feasibility and efficacy within RCRC ERUs. The system addressed the need for an EMR and HIS solution, enabling comprehensive clinical documentation and supporting administrative reporting functions. The pilot study validated the training of trainers’ approach and paved the way for further domestic use of RCHIS. RCHIS has the potential to improve patient safety, quality of care, and reporting efficiency within ERUs. Automated reporting reduces the burden on ERU leadership, while electronic compilation enhances record completeness and correctness. Ongoing feedback collection and feature development continue to enhance RCHIS’s functionality. Further trainings took place in 2023 and preparations for international deployments are under way. RCHIS represents a significant step toward improved emergency medical care and coordination within the RCRC and has implications for similar systems in other Emergency Medical Teams.

The use and perceived value of electronic health information resources by health care professionals in the field of medicine, pharmacy, and nursing in Jazan province, Saudi Arabia

BackgroundHealthcare workers increasingly use Electronic Health Information Resources (EHIRs) to make evidence-based decisions. Our study was intended to assess the perception, attitude, and practice of healthcare professionals in medicine, pharmacy, and nursing regarding their perceived value and use of EHIRs. MethodsWe conducted an observational cross-sectional study using a pre-validated questionnaire among healthcare professionals in Jazan province from September 2022 to February 2023. We included healthcare professionals and interns with medical, pharmacy, or nursing degrees and excluded those who refused informed consent. ResultsWe included fully completed data from 294 participants, with an actual response rate of just 80.1 %. Almost 87.41 % utilized the health information resources at their workplace, with UpToDate [39.45 %] and Medscape [67.01 %] being the most frequently used medical databases. The health facilities' access to electronic health resources significantly impacted healthcare professionals' [p = 0.04] and medical interns' [p = 0.02] roles. Faculty members felt the need to access electronic health information at their workplace [p = 0.00]. Lack of time to access electronic health information due to a busy schedule was a significant reason that impacted the attitude of medical professionals [p = 0.008] and nursing staff [p = 0.025]. An excessive amount of clinically unrelated data was the primary obstacle (181/294, p < 0.0001) in using electronic health information resources. ConclusionOur study showed the pattern of healthcare professionals using EHIRs in the Jazan province, Saudi Arabia. We believe the study's outcome can help increase the calibre of electronic health information services available to healthcare professionals and raise awareness of different EHIRs in improving clinical care.

Patient Access of Their Radiology Reports Before and After Implementation of 21st Century Cures Act Information-Blocking Provisions at a Large Multicampus Health System.

Background: To implement provisions of the 21st Century Cures Act addressing information blocking, federal regulations mandated that health systems provide patients with immediate access to elements of their electronic health information, including imaging results. Objective: To compare patient access of radiology reports before and after implementation of the information-blocking provisions of the 21st Century Cures Act. Method: This retrospective study included patients who underwent outpatient imaging examinations from January 1, 2021, to December 31, 2022 at three campuses within a large health system. The system implemented policies to comply with Cures Act information-blocking provisions on January 1, 2022. Imaging results were released in patient portals after a 36-hour embargo period before implementation, versus immediately upon report finalization after implementation. Data regarding patient report access in the portal and ordering provider report acknowledgment in the EMR were extracted and compared between periods. Results: The study included reports for 1,188,692 examinations in 388,921 patients (mean age, 58.5±16.6 years; 209,589 women, 179,290 men, 8 nonbinary, 34 missing sex information). A total of 77.5% of reports were accessed by the patient before implementation, versus 80.4% after implementation. Median time from report finalization to report release in the patient portal was 36.0 hours before implementation versus 0.4 hours after implementation. Median time from report release to first patient access in the portal was 8.7 hours before implementation versus 3.0 hours after implementation. Median time from report finalization to first patient access was 45.0 hours before implementation versus 5.5 hours after implementation. A total of 18.5% of reports were first accessed by the patient before the ordering provider before implementation, versus 44.0% after implementation. After implementation, median time from report release to first patient access was 1.8 hours for patients with age <60 years versus 4.3 hours for patients with age ≥60 years. Conclusion: After implementing institutional policies to comply with Cures Act information-blocking provisions, the time for patients to access imaging results decreased, and the proportion of patients who accessed their reports before the ordering provider increased. Clinical Impact: Radiologists should consider mechanisms to ensure timely and appropriate communication of important findings to ordering providers.

Abstract 821: Uptake of cervical cancer screening services by women living with HIV in Kajiado County Kenya

Abstract Background: This project is an African Caribbean Cancer Consortium (AC3) facilitated study: Women living with HIV (WLHIV) are more susceptible to cancer due to their immune-compromised status. The Kenya Ministry of Health recommends that women diagnosed with HIV should be screened for cervical cancer annually by either visual inspection with acetic acid (VIA) or visual inspection with Lugol’s iodine (VILI), cytology and testing for HPV once every two years. Objective: We determined the uptake of cervical cancer screening and HPV testing by women living with HIV (WLHIV) in Kajiado County in 2022. Methodology: The electronic health information system was used to abstract data for WLHIV in Kajiado county. Kajiado county has 57 antiretroviral (ART) facilities. However, our analysis accessed data from 38 facilities whose data is captured in the health information system. Authorized health care workers from the county were requested to abstract redacted data from the health information system. No personal identifiers were collected from the system as a means of protecting the privacy of individuals and abiding with the Kenya’s data protection law. Authorization to access the county was obtained from the county’s department of health while ethical approval was obtained from Mount Kenya University’s Institutional Scientific and Ethics Review Committee. Results: A total of 16,827 people living with HIV were enrolled for care at the 38 ART selected sites in 2022. Out on the total population that was enrolled for care, 11,785 (70%) were women with an age range of 15 to 49 years. A total of 3342 WLHIV, representing 28.36% of the target population, were screened by using visual inspection with acetic acid (VIA). Data for other methods of screening and HPV testing was not available in the health information systems. Of those screened, 3240 (97%) tested negative, 78 (2.3%) had positive results while 24 (0.7%) had suspicious lesions. Conclusion: Our analysis shows low uptake of cervical cancer screening services with only 28.36% of the targeted women being screened in 2022. The only available testing method (VIA) is less robust as compared to cytology and HPV testing. We also found a gap in reporting of HPV testing in the county. We thus recommend implementation science research examining the systemic barriers to HPV testing and reporting to better inform best practice HPV-related cancer prevention and control policy and practice to reduce cancer-related morbidity and mortality among WLHIV. Citation Format: Caren Kamau, Alice Njoroge, Francis Makokha, Kimlin T. Ashing. Uptake of cervical cancer screening services by women living with HIV in Kajiado County Kenya [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 821.

The Impact of Parental Electronic Health Literacy on Disease Management and Outcomes in Pediatric Type 1 Diabetes Mellitus: Cross-Sectional Clinical Study.

Despite the growing uptake of smart technologies in pediatric type 1 diabetes mellitus (T1DM) care, little is known about caregiving parents' skills to deal with electronic health information sources. We aimed to assess the electronic health literacy of parents caring for children with T1DM and investigate its associations with disease management and children's outcomes. A cross-sectional survey was performed involving 150 parent-child (8-14 years old with T1DM) dyads in a university pediatric diabetology center. Parents' electronic health literacy (eHealth Literacy Scale [eHEALS]), general health literacy (Chew questionnaire and Newest Vital Sign [NVS]), and attitudes toward T1DM care (Parental Self-Efficacy Scale for Diabetes Management [PSESDM] and Hypoglycemia Fear Survey [HFS]) were investigated. Children's treatment, HbA1c level, and quality of life (Pediatric Quality of Life Inventory Diabetes Module [PedsQL Diab] and EQ-5D-Y-3L) were assessed. Multiple linear regression analysis was performed to investigate the determining factors of 6-month average HbA1c. Of the 150 children, 38 (25.3%) used a pen, 55 (36.7%) used a pen plus a sensor, 6 (4.0%) used an insulin pump, and 51 (34.0%) used an insulin pump plus a sensor. Parents' average eHEALS score (mean 31.2, SD 4.9) differed significantly by educational level (P=.04) and the children's treatment (P=.005), being the highest in the pump + sensor subgroup. The eHEALS score showed significant Pearson correlations with the Chew score (r=-0.45; P<.001), NVS score (r=0.25; P=.002), and PSESDM score (r=0.35; P<.001) but not with the children's HbA1c (r=-0.143; P=.08), PedsQL Diab (r=-0.0002; P>.99), and EQ-5D-Y-3L outcomes (r=-0.13; P=.12). Regression analysis revealed significant associations of the child's HbA1c level with sex (β=0.58; P=.008), treatment modality (pen + sensor: β=-0.66; P=.03; pump + sensor: β=-0.93; P=.007), and parents' self-efficacy (PSESDM; β=-0.08; P=.001). Significantly higher parental electronic health literacy was found in T1DM children using a glucose sensor. The electronic health literacy level was associated with parents' diabetes management attitude but not with the child's glycemic control. Studies further investigating the role of parental electronic health literacy in T1DM children managed at different levels of care and the local context are encouraged.

Intention to Use an Electronic Community Health Information System Among Health Extension Workers in Rural Northwest Ethiopia: Cross-Sectional Study Using the Unified Theory of Acceptance and Use of Technology 2 Model.

IT has brought remarkable change in bridging the digital gap in resource-constrained regions and advancing the health care system worldwide. Community-based information systems and mobile apps have been extensively developed and deployed to quantify and support health services delivered by community health workers. The success and failure of a digital health information system depends on whether and how it is used. Ethiopia is scaling up its electronic community health information system (eCHIS) to support the work of health extension workers (HEWs). For successful implementation, more evidence was required about the factors that may affect the willingness of HEWs to use the eCHIS. This study aimed to assess HEWs' intentions to use the eCHIS for health data management and service provision. A cross-sectional study design was conducted among 456 HEWs in 6 pilot districts of the Central Gondar zone, Northwest Ethiopia. A Unified Theory of Acceptance and Use of Technology model was used to investigate HEWs' intention to use the eCHIS. Data were cleaned, entered into Epi-data (version 4.02; EpiData Association), and exported to SPSS (version 26; IBM Corp) for analysis using the AMOS 23 Structural Equation Model. The statistical significance of dependent and independent variables in the model was reported using a 95% CI with a corresponding P value of <.05. A total of 456 HEWs participated in the study, with a response rate of 99%. The mean age of the study participants was 28 (SD 4.8) years. Our study revealed that about 179 (39.3%; 95% CI 34.7%-43.9%) participants intended to use the eCHIS for community health data generation, use, and service provision. Effort expectancy (β=0.256; P=.007), self-expectancy (β=0.096; P=.04), social influence (β=0.203; P=.02), and hedonic motivation (β=0.217; P=.03) were significantly associated with HEWs' intention to use the eCHIS. HEWs need to be computer literate and understand their role with the eCHIS. Ensuring that the system is easy and enjoyable for them to use is important for implementation and effective health data management.

Challenges, Alternatives, and Paths to Sustainability for Health Information Exchange Efforts Using PROMETHEE Method

Electronic health information sharing and regional health information centres The practise of emergency medicine in the United States can have a significant impact. Regional Health Information Institutes are stakeholder networks that share local or regional information in a specific geographic area. Set up electronic data transfer. Safety of medical care and to improve efficiency across the country regional health information institutions are being created; Public health initiatives, biological surveillance and enhancing the reaction of catastrophe management; and identifying for research enormous databases of aggregate data. However, the economy Organizational issues and including geography to facilitate exchange With the Regional Health Information Organization (RHIO) model They identified challenges. Direct, institutional HIE and such as seller-mediated exchange versus alternative modes of exchange RHIOs vary. Due to political and economic reasons HIE is a difficult task. It is of many types Classified by optional activities; they are for alternatives in judgments The differences between Used to allocate. Under conventional criterion priority functions Using PROMETHEE Choice of health information exchange. This paper proposes that in the final option to check the effect of different optional functions Comparable results are presented. Seven economic and environmental criteria, Four health information and Five decision makers health information exchange problem Major Structures. with decision makers using a five-point Likert scale by personal communication Data was collected. Under the usual criterion function PROMETHEE's algorithm is implemented. The pharmaceutical industry and research, medical trials, healthcare fraud detection, neurological research, and electronic health records are alternatives. Evaluation Parameters are Transparent, Autonomy, Open Source, Anonymity and Decentralized. Health Information Exchange using PROMETHEE. Electronic Health Records, is got third rank, Clinical Research is got first rank, Medical Fraud Detection is got forth rank, Neuroscience Research is got fifth rank and Pharmaceutical Industry and Research is got second rank

Drug Discovery and the Role of Artificial Intelligence in Human Healthcare

Abstract: The integration of artificial intelligence (AI) into healthcare and drug development has catalyzed an era of change in medical research and patient care. This research paper examines the evolving landscape of drug development and highlights the central role of artificial intelligence in advancing human healthcare. By combining data-driven approaches with advanced machine learning algorithms, AI can transform target identification, molecular screening, lead optimization and clinical trial design. In healthcare, AI applications include medical image analysis, disease diagnosis, personalized medicine, electronic health information management and more, promising better patient care, cost reduction and advances in medical research. However, these innovations come with challenges such as data protection, bias, regulatory barriers and ethical issues. The article highlights the potential of AI in drug development and healthcare and discusses similar AI-based solutions and methods. It also addresses issues related to data protection, interoperability, data quality, regulatory approval, ethical issues and resource constraints. Responsible development and implementation are critical to the safety and effectiveness of healthcare AI applications. Future work includes improving explainability, promoting knowledge sharing and collaboration, creating ethical frameworks, adapting regulatory processes, integrating AI into clinical practice, and addressing global health disparities. Through collaboration and continued research, AI holds the promise of revolutionizing healthcare, leading to better patient outcomes and a brighter future for medicine.

Impact of electronic information exchange on repeat imaging during 30-day readmissions among Medicare beneficiaries.

We examined the association between electronic health information sharing and repeat imaging in readmissions among older adults with and without Alzheimer disease (AD). Cohort study using national Medicare data. Among Medicare beneficiaries with 30-day readmissions in 2018, we examined repeat imaging on the same body system during the readmission. This was evaluated between fragmented and nonfragmented (same-hospital) readmissions and across categories of electronic information sharing via health information exchanges (HIEs) in fragmented readmissions: admission and readmission hospitals share the same HIE, admission and readmission hospitals participate in different HIEs, one or both do not participate in HIE, or HIE data missing. This relationship was evaluated using unadjusted and adjusted logistic regression. Overall, 14.3% of beneficiaries experienced repeat imaging during their readmission. Compared with nonfragmented readmissions, fragmented readmissions were associated with 5% higher odds of repeat imaging on the same body system in older adults without AD. This was not mitigated by the presence of electronic information sharing: Fragmented readmissions to hospitals that shared an HIE had 6% higher odds of repeat imaging (adjusted OR, 1.06; 95% CI, 1.00-1.13). There was no difference seen in the odds of repeat imaging for older adults with AD. Despite substantial investment, HIEs as currently deployed and used are not associated with decreased odds of repeat imaging in readmissions.

Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface.

The 21st Century Cures Act Final Rule requires that certified electronic health records (EHRs) be able to export a patient's full set of electronic health information (EHI). This requirement becomes more powerful if EHI exports use interoperable application programming interfaces (APIs). We sought to advance the ecosystem, instantiating policy desiderata in a working reference implementation based on a consensus design. We formulate a model for interoperable, patient-controlled, app-driven access to EHI exports in an open source reference implementation following the Argonaut FHIR Accelerator consensus implementation guide for EHI Export. The reference implementation, which asynchronously provides EHI across an API, has three central components: a web application for patients to request EHI exports, an EHI server to respond to requests, and an administrative export management web application to manage requests. It leverages mandated SMART on FHIR/Bulk FHIR APIs. A patient-controlled app enabling full EHI export from any EHR across an API could facilitate national-scale patient-directed information exchange. We hope releasing these tools sparks engagement from the health IT community to evolve the design, implement and test in real-world settings, and develop patient-facing apps. To advance regulatory innovation, we formulate a model that builds on existing requirements under the Cures Act Rule and takes a step toward an interoperable, scalable approach, simplifying patient access to their own health data; supporting the sharing of clinical data for both improved patient care and medical research; and encouraging the growth of an ecosystem of third-party applications.

The changes in health service utilisation in Malawi during the COVID-19 pandemic.

The COVID-19 pandemic and the restriction policies implemented by the Government of Malawi may have disrupted routine health service utilisation. We aimed to find evidence for such disruptions and quantify any changes by service type and level of health care. We extracted nationwide routine health service usage data for 2015-2021 from the electronic health information management systems in Malawi. Two datasets were prepared: unadjusted and adjusted; for the latter, unreported monthly data entries for a facility were filled in through systematic rules based on reported mean values of that facility or facility type and considering both reporting rates and comparability with published data. Using statistical descriptive methods, we first described the patterns of service utilisation in pre-pandemic years (2015-2019). We then tested for evidence of departures from this routine pattern, i.e., service volume delivered being below recent average by more than two standard deviations was viewed as a substantial reduction, and calculated the cumulative net differences of service volume during the pandemic period (2020-2021), in aggregate and within each specific facility. Evidence of disruptions were found: from April 2020 to December 2021, services delivered of several types were reduced across primary and secondary levels of care-including inpatient care (-20.03% less total interactions in that period compared to the recent average), immunisation (-17.61%), malnutrition treatment (-34.5%), accidents and emergency services (-16.03%), HIV (human immunodeficiency viruses) tests (-27.34%), antiretroviral therapy (ART) initiations for adults (-33.52%), and ART treatment for paediatrics (-41.32%). Reductions of service volume were greatest in the first wave of the pandemic during April-August 2020, and whereas some service types rebounded quickly (e.g., outpatient visits from -17.7% to +3.23%), many others persisted at lower level through 2021 (e.g., under-five malnutrition treatment from -15.24% to -42.23%). The total reduced service volume between April 2020 and December 2021 was 8 066 956 (-10.23%), equating to 444 units per 1000 persons. We have found substantial evidence for reductions in health service delivered in Malawi during the COVID-19 pandemic which may have potential health consequences, the effect of which should inform how decisions are taken in the future to maximise the resilience of healthcare system during similar events.

Effects of Health Records Management on Health Service Delivery: A case study of the Prestea Government Hospital. (PGH)

Background: The most crucial instrument when discussing patient healthcare are medical records. Both their management and their utilization are crucial for patient care management. Ghana has used many medical records management systems to aid in healthcare development. Retrospective and epidemiological investigations are slowed down by poor data quality, which inhibits research. As expectations have grown, more initiatives to capture and save patient records electronically are planned. Aim: The purpose of the study is to investigate the perception of health worker about the EHRs use and impact on service delivery. Materials and methods: The study's focus is on the health workers at Prestea Government Hospital (PGH), which include nurses, physicians, biotechnologists, Health Information Manager, pharmacists, midwives, etc. A sample size of 100 people from the intended audience was used. Standardized questionnaires were self-completed by respondent. The Completed questionnaires were given numbers to protect participants anonymity. Participants received sufficient information regarding their right to decline study participation and to withdraw at any time without repercussions. Data was entered into Excel and exported to SPSS for analysis. Descriptive and inferential analysis was performed and the outcomes were shown as tables, graphs, and figures. Results: In all, out of 100 respondents, 35% of them were males and 65% were women. There were a lot of female replies since many of the respondents were nurses. Medical laboratory technicians comprised the smallest proportion of the workforce (5%) of all occupational groups. Prestea Government Hospital survey respondents overwhelmingly concur that electronic health records (EHRs) aid in the delivery of treatment. According to a survey, medical practitioners think the facility's EHR has all of the forms that are utilized there. The idea that the facility's EHRs help with data collection is accepted by few people. Medical professionals believe that the use of EHRs makes it simple to obtain historical patient data. This is so that all information may be easily accessed while undergoing medical treatment and kept securely saved. The system features alarms that play when erroneous data is entered. Although the system features pre-programmed commands that allow for uninterrupted navigation, there are frequently disruptions due to power fluctuations. Conclusion: Access to patients' medical records via an electronic health information system platform is crucial for making medical decisions that will result in effective care delivery in healthcare facilities, lower the risk of treatment errors, decrease patient waiting times, and lower the number of medical errors, a study has found.

Deep convolutional neural network and IoT technology for healthcare.

Deep convolutional neural network and IoT technology for healthcare.

Preventable Emergency Department Visits of Patients with Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic by Hospital-Based Health Information Exchange.

Background: This study examined the relationship between hospital-based electronic health information exchange (HIE) and the likelihood of having a preventable emergency department (ED) visit during the COVID-19 pandemic for US patients with Alzheimer's Disease and Related Dementias (ADRD). Methods: We used multi-level data from six states. The linked data sets included the 2020 State Emergency Department Databases (SEDD), the Area Health Resources File, the American Hospital Association (AHA) Annual Survey, and the AHA Information Technology Supplement to study 85,261 hospital discharges from patients with ADRD. Logistic regression models were produced to determine the odds of having a preventable ED visit among patients with ADRD. Results: Our final sample included 85,261 hospital discharges from patients with ADRD. Patients treated in hospitals that received more types of clinical information for treating patients with COVID-19 from outside providers (OR = 0.961, p < .05) and/or hospitals that received COVID-19 test results from more outside entities were significantly less likely to encounter preventable EDs (OR = 0.964, p < .05), especially among patients who also had multiple chronic conditions (MCC) (OR = 0.89, p = .001; OR = 0.856, p < .001). Conclusion: Our results suggest that electronic HIE may be useful for reducing preventable ED visits during the COVID-19 pandemic for people with ADRD and ADRD alongside MCC.

FINDABILITY OF HEALTH EQUITY DEFINITIONS ON REPUTABLE AGING AND PUBLIC HEALTH WEBSITES

Abstract In the current era of electronic health information, ensuring proper access to consistent and accurate information supporting health equity is crucial for older adults. It is imperative that older adults comprehend health terminologies and definitions on websites, enabling them to understand the necessary information effectively. To evaluate how public health websites define, communicate, and display health equity terms and definitions, we developed a tool to review how easy it is to find and understand information on websites that play an integral role in guiding the health of older adults. Thus, we reviewed over 60 credible websites widely used for health information. Many of them included dedicated aging content. Our evaluation revealed that health equity definitions were inconsistent across websites and were often challenging to locate, requiring substantial time and effort to retrieve the information. Additionally, 50% of them lacked definitions. Furthermore, most websites failed to include citations that could substantiate the provided definitions. This study underscores the absence of a systematic, standardized, and regulated approach to how public health websites inform the public, particularly by using consistent terms to define health equity. This study highlights the lack of a universally shared and standardized health equity definition for websites. We recommend that websites structure their content to be easily findable and propose adopting universal standards for displaying health information on websites, especially when communicating with the public. This can mitigate confusion, enhance the understanding of health equity, and ensure important health information findability for older adults.