scholarly journals Patients’ Satisfaction by SmileInTM Totems in Radiotherapy: A Two-Year Mono-Institutional Experience

Healthcare ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1268
Author(s):  
Giuditta Chiloiro ◽  
Angela Romano ◽  
Andrea D’Aviero ◽  
Loredana Dinapoli ◽  
Elisa Zane ◽  
...  
Keyword(s):  
High Volume ◽  
Healthcare Services ◽  
Hospital Performance ◽  
Lean Six Sigma ◽  
Patient’S Satisfaction ◽  
Patient Reported ◽  
Institutional Experience ◽  
Healthcare Optimization ◽  
Set Up ◽  
Quality In Healthcare

Background: Patient’s satisfaction is recognized as an indicator to monitor quality in healthcare services. Patient-reported experience measures (PREMs) may contribute to create a benchmark of hospital performance by assessing quality and safety in cancer care. Methods: The areas of interest assessed were: patient-centric welcome perception (PCWP), punctuality, professionalism and comfort using the Lean Six Sigma (LSS) methodology. The RAMSI (Radioterapia Amica Mia SmileINTM (SI) My Friend RadiotherapySI), project provided for the placement of SI totems with four push buttons using HappyOrNot technology in a high-volume radiation oncology (RO) department. The SI technology was implemented in the RO department of the Fondazione Policlinico Universitario A. Gemelli IRCCS. SI totems were installed in different areas of the department. The SI Experience Index was collected, analyzed and compared. Weekly and monthly reports were created showing hourly, daily and overall trends. Results: From October 2017 to November 2019, a total of 42,755 votes were recorded: 8687, 10,431, 18,628 and 5009 feedback items were obtained for PCWP, professionalism, punctuality, and comfort, respectively. All areas obtained a SI-approved rate ≥ 8.0 Conclusions: The implementation of the RAMSI system proved to be doable according to the large amount of feedback items collected in a high-volume clinical department. The application of the LSS methodology led to specific corrective actions such as modification of the call-in-clinic system during operations planning. In order to provide healthcare optimization, a multicentric and multispecialty network should be defined in order to set up a benchmark.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

scholarly journals Results of a Patient Reported Experience Measure (PREM) to measure the rare disease patients and caregivers experience: a Spanish cross-sectional study

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mercedes Guilabert ◽  
Alba Martínez-García ◽  
Marina Sala-González ◽  
Olga Solas ◽  
José Joaquín Mira
Keyword(s):  
Rare Disease ◽  
Rare Diseases ◽  
Healthcare Services ◽  
Paediatric Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Optimal Care ◽  
Cross Sectional ◽  
Patient Reported ◽  
Mean Time

Abstract Objective To measure the experience of the person having a rare disease in order to identify objectives for optimal care in the health care received by these patients. Methods. A cross-sectional study was conducted in Spain involving patients associated with the Spanish Rare Diseases Federation [Federación Española de Enfermedades Raras] (FEDER). A modified version of the PREM IEXPAC [Instrumento para evaluar la Experiencia del Paciente Crónico] instrument was used (IEXPAC-rare-diseases). Scores ranged between 0 (worst experience) and 10 (best experience). Results A total of 261 caregivers (in the case of paediatric population) and patients with rare diseases (response rate 54.4%) replied. 232 (88.9%) were adult patients and 29 (11.1%) caregivers of minor patients. Most males, 227 (87%), with an average age of 38 (SD 13.6) years. The mean time since confirmation of diagnosis was 7.8 (SD 8.0) years. The score in this PREM was 3.5 points out to 10 (95%CI 3.2–3.8, SD 2.0). Caregivers of paediatric patients scored higher, except for coordination of social and healthcare services. Conclusions There are wide and important areas for improvement in the care of patients with rare diseases. This study involves a first assesment of the experience of patients with rare diseases in Spain.

Percutaneous selective laser amygdalo-hippocampectomy (SLAH) for treatment of mesial temporal lobe epilepsy within an interventional MRI suite

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Sherif G. Nour ◽  
Jon T. Willie ◽  
Robert E. Gross
Keyword(s):  
Temporal Lobe ◽  
Laser Energy ◽  
Mesial Temporal Lobe Epilepsy ◽  
Interventional Mri ◽  
Long Term Follow Up ◽  
Institutional Experience ◽  
Mesial Temporal Lobe ◽  
Mri Guided ◽  
Magnetic Resonance Imaging Mri ◽  
Set Up

AbstractPercutaneous selective laser amygdalo-hippocampectomy (SLAH) procedure is a new minimally invasive alternative to surgical amygdalo-hippocampectomy that involves targeted, controlled laser energy deposition under real-time magnetic resonance imaging (MRI) monitoring within a dedicated “interventional MRI” suite. Technical feasibility, safety and initial efficacy results from our program are encouraging and indicate a potential for paradigm shift in future treatment of patients with exclusively or predominantly focal unilateral seizure onsets within the mesial temporal lobe. Several institutions are currently employing this technology and more long-term follow-up results on larger cohorts of patients are expected in the near future. This article reviews the principles of MRI-guided SLAH, procedure set-up and equipment, the detailed phases of intra-procedural MRI guidance and treatment monitoring, and the MRI appearance of the resultant thermal ablation zones. We conclude with a discussion of our institutional experience at Emory University with MRI-guided SLAH as one of the leading sites offering this state-of-the-art technology.

scholarly journals Surgical treatment of GIST – An institutional experience of a high-volume center

2013 ◽  
Vol 11 (9) ◽  
pp. 801-806 ◽  
Author(s):  
Katrin Schwameis ◽  
Alexandra Fochtmann ◽  
Michael Schwameis ◽  
Reza Asari ◽  
Sophie Schur ◽  
...  
Keyword(s):  
Surgical Treatment ◽  
High Volume ◽  
Institutional Experience ◽  
High Volume Center

scholarly journals High usage of medial unicompartmental knee arthroplasty negatively influences total knee arthroplasty revision rate

2021 ◽  
Author(s):  
Antonio Klasan ◽  
Mei Lin Tay ◽  
Chris Frampton ◽  
Simon William Young
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Unicompartmental Knee Arthroplasty ◽  
Revision Rate ◽  
Oxford Knee Score ◽  
High Volume ◽  
Unicompartmental Knee ◽  
Patient Reported ◽  
Medial Unicompartmental Knee Arthroplasty ◽  
Total Knee

Abstract Purpose Surgeons with higher medial unicompartmental knee arthroplasty (UKA) usage have lower UKA revision rates. However, an increase in UKA usage may cause a decrease of total knee arthroplasty (TKA) usage. The purpose of this study was to investigate the influence of UKA usage on revision rates and patient-reported outcomes (PROMs) of UKA, TKA, and combined UKA + TKA results. Methods Using the New Zealand Registry Database, surgeons were divided into six groups based on their medial UKA usage: < 1%, 1–5%, 5–10%, 10–20%, 20–30% and > 30%. A comparison of UKA, TKA and UKA + TKA revision rates and PROMs using the Oxford Knee Score (OKS) was performed. Results A total of 91,895 knee arthroplasties were identified, of which 8,271 were UKA (9.0%). Surgeons with higher UKA usage had lower UKA revision rates, but higher TKA revision rates. The lowest TKA and combined UKA + TKA revision rates were observed for surgeons performing 1–5% UKA, compared to the highest TKA and UKA + TKA revision rates which were seen for surgeons using > 30% UKA (p < 0.001 TKA; p < 0.001 UKA + TKA). No clinically important differences in UKA + TKA OKS scores were seen between UKA usage groups at 6 months, 5 years, or 10 years. Conclusion Surgeons with higher medial UKA usage have lower UKA revision rates; however, this comes at the cost of a higher combined UKA + TKA revision rate that is proportionate to the UKA usage. There was no difference in TKA + UKA OKS scores between UKA usage groups. A small increase in TKA revision rate was observed for high-volume UKA users (> 30%), when compared to other UKA usage clusters. A significant decrease in UKA revision rate observed in high-volume UKA surgeons offsets the slight increase in TKA revision rate, suggesting that UKA should be performed by specialist UKA surgeons. Level of evidence III, Retrospective therapeutic study.

scholarly journals Validity of patient-reported complications after total hip and knee arthroplasty

2018 ◽  
Vol 26 (3) ◽  
pp. 230949901880249 ◽  
Author(s):  
Kinh Luan Thanh Dang ◽  
Helen Badge ◽  
Ian A Harris
Keyword(s):  
Knee Arthroplasty ◽  
High Volume ◽  
Total Hip ◽  
Joint Replacement Surgery ◽  
Patient Reports ◽  
Replacement Surgery ◽  
Telephone Interviews ◽  
Patient Reported ◽  
Hip And Knee Arthroplasty ◽  
High Level

Background: Evaluating the effectiveness of total hip arthroplasty (THA) and total knee arthroplasty (TKA) often relies on accurate patient reporting of postoperative complications. Despite this, there is little research regarding the accuracy of patient reports. We aimed to determine the accuracy of patient-reported significant complications after THA and TKA. Methods: Patients were recruited prior to undergoing primary hip or knee arthroplasty at 19 high-volume hospitals. After surgery, follow-up of patients via telephone interviews at 35, 90 and 365 days recorded surgical outcomes including readmission, reoperation and venous thromboembolism (VTE). Patient-reported complications were verified via medical record audits and liaison with surgeons, general practitioners or other health professionals. Surgical and demographic information and patient-reported and verified complications were entered into a database. Patient-reported and verified complications were compared for readmission, reoperation and VTE. Results: The sample included 150 of 1811 patients who reported a total of 242 significant complications. Of the 242 patient-reported complications, 224 (92.6%) were correct (true positive). The type of complication had variable levels of accuracy in patient reports. Readmission to hospital was accurately reported by 90.2% (129/143) of patients. Reoperation (including any manipulations under anaesthesia, joint washouts, reductions of dislocated joints and revisions) was accurately reported by 98.7% (75/76) of patients. VTE was accurately reported by 86.7% (20/23) of patients. Conclusion: A high level of accuracy in patient-reported experience of complications was demonstrated following THA and TKA. Patient-reported complications may be reliably used for post-operative surveillance of joint replacement surgery.

scholarly journals HL7 Terminology Management for Disease Surveillance

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Emily Roberts ◽  
Theron Jeppson ◽  
Rachelle Boulton ◽  
Josh Ridderhoff
Keyword(s):  
Disease Surveillance ◽  
Communicable Disease ◽  
Laboratory Data ◽  
Data Entry ◽  
High Volume ◽  
Electronic Data ◽  
Disease Surveillance System ◽  
Department Of Health ◽  
Message Structure ◽  
Set Up

Objective: The objective of this abstract is to illustrate how the Utah Department of Health processes a high volume of electronic data. We do this by translating what reporters send within an HL7 message into "epidemiologist" language for consumption into our disease surveillance system.Introduction: In 2013, the Utah Department of Health (UDOH) began working with hospital and reference laboratories to implement electronic laboratory reporting (ELR) of reportable communicable disease data. Laboratories utilize HL7 message structure and standard terminologies such as LOINC and SNOMED to send data to UDOH. These messages must be evaluated for validity, translated, and entered into Utah’s communicable disease surveillance system (UT-NEDSS), where they can be accessed by local and state investigators and epidemiologists. Despite the development and use of standardized terminologies, reporters may use different, outdated versions of these terminologies, may not use the appropriate codes, or may send local, home-grown terminologies. These variations cause problems when trying to interpret test results and automate data processing. UDOH has developed a two-step translation process that allows us to first standardize and clean incoming messages, and then translate them for consumption by UT-NEDSS. These processes allow us to efficiently manage several different terminologies and helps to standardize incoming data, maintain data quality, and streamline the data entry process.Methods: UDOH uses the Electronic Message Staging Area (EMSA) to receive ELR messages, manage terminologies such as LOINC and SNOMED, translate messages, and automatically enter laboratory data into UT-NEDSS. LOINCs and other terms, such as facility name, sent by reporting facilities in an HL7 message are considered child terms. All child terms are mapped to a master LOINC or term and each master LOINC or term is mapped to a specific value within UT-NEDSS. In EMSA, the rules engine used for automated processing of electronic data is set to run at the master level and these rules will determine how the message is processed. No rules are set up or run on child terms.Results: As of 09/20/2017, EMSA contains 2,613 unique child LOINCs that are mapped to 906 master LOINCs. Those 906 master LOINCs are mapped to 179 UT-NEDSS test types and 2003 child facility names are mapped to 1043 master facility namesConclusions: Mapping child terminologies from an HL7 message to a master vocabulary helps us to standardize incoming data, allows us to accept non-standard terminologies and correct reporting errors. Translating this data into a format that is understandable to epidemiologists and investigators enables UT-NEDSS to work effectively in identifying outbreaks and improving health outcomes. This framework is working for ELR and will continue to grow and accept more data and the different terminologies that come with that.

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