Sistem Informasi Rekam Medis Di Klinik Gigi Rumah Sakit Paru dr. Ario Wirawan Salatiga

Abstrak - Saat ini pelayanan di klinik gigi Rumah Sakit Paru dr. Ario Wirawan (RSPAW) masih menggunakan cara konvensional atau offline. Proses pendaftaran pasien dapat dilakukan dengan datang ke klinik untuk mengambil nomor antrian. Untuk pasien baru wajib mengisi form pasien baru. Setelah itu pasien akan diperiksa oleh dokter, jika pasien yang sudah pernah periksa maka dokter akan melihat blangko yang berisi rekam medis pasien. Selesai proses pengerjaan dokter menulis terapi yang sudah diberikan di blangko rekam medis pasien. Tahap analisis yang dilakukan adalah menganalisis permasalahan sistem yang sedang berjalan dan analisis kebutuhan sistem yang dikembangkan. Langkah perancangan dari sistem yang dikembangkan dalam penelitian ini adalah membuat bagan alir sistem yang dikembangkan, diagram arus data, desain input, desain output dan desain basis data. Sistem dibuat menggunakan visual basic dan Ms.Acces. Sistem yang dikembangkan dalam penelitian ini meliputi pengolahan data pasien, data diagnosa, data tindakan data obat, data dokter. Fasilitas pemeriksaan pasien yang ada dalam sistem antara lain riwayat penyakit dan namnesa, diagnosa pasien, tindakan pemerisaan pasien, obat yang diberikan dan poto ronsen. Sistem dapat menghasilkan daftar pasien, daftar dokter, daftar obat, daftar diagnosa, daftar tindakan, laporan rekam medis, laporan penjualan obat dan laporan pemasukan.Kata Kunci: Rekam Medis, Klinik Gigi, Visual BasicAbstract - Currently the service at the dental clinic at the Lung Hospital, dr. Ario Wirawan (RSPAW) still uses conventional or offline methods. The patient registration process can be done by coming to the clinic to take a queue number. New patients are required to fill out a new patient form. After that the patient will be examined by the doctor, if the patient has been examined, the doctor will see a blank containing the patient's medical record. After completing the process, the doctor writes the therapy that has been given on the patient's medical record blank. The analysis phase carried out is analyzing the problems of the current system and analyzing the needs of the system being developed. The design step of the system developed in this research is to make a flow chart of the system developed, data flow diagrams, input design, output design and database design. The system is made using visual basic and Ms. Access. The system developed in this study includes patient data processing, diagnostic data, drug data action data, doctor data. Patient examination facilities that exist in the system include medical history and name, patient diagnosis, patient examination procedures, drugs given and X-ray photos. The system can generate patient lists, doctor lists, drug lists, diagnostic lists, action lists, medical record reports, drug sales reports and income reports.Keywords : Medical Records, Dental Clinic , Visual Basic

Deep Cascade Networks for Single 2D US Slice to 3D CT/MRI Image Registration

Background and Objective: Ultrasound (US) devices are often used in percutanous interventions. Due to their low image quality, the US image slices are aligned with pre-operative Computed Tomography/Magnetic Resonance Imaging (CT/MRI) images to enable better visibilities of anatomies during the intervention. This work aims at improving the deep learning one shot registration by using less loops through deep learning networks.Methods: We propose two cascade networks which aim at improving registration accuracy by less loops. The InitNet-Regression-LoopNet (IRL) network applies the plane regression method to detect the orientation of the predicted plane derived from the previous loop, then corrects input CT/MRI volume orientation and improves the prediction iteratively. The InitNet-LoopNet-MultiChannel (ILM) comprises two cascade networks, where an InitNet is trained with low resolution images toperform coarse registration. Then, a LoopNet wraps the high resolution images and result of the previous loop into a three channel input and trained to improve prediction accuracy in every loop. Results: We benchmark the two cascade networks on 1035 clinical images from 52 patients , yielding an improved registration accuracy with LoopNet. The IRL achieved an average angle error of 13.3° and an average distance error of 4.5 millimieter. It out-performs the ILM network with angle error 17.4° and distance error 4.9 millimeter and the InitNet with angle error 18.6° and distance error 4.9 millimeter. Our results show the efficiency of the proposed registration networks, which have the potential to improve the robustness and accuracy of intraoperative patient registration.

Claim Procedure Analysis Health BPJS In Hospital

The membership administration procedure factor, the medical resume factor, the diagnosis codification factor and the action codification factor are still obstacles so that they are returned by the BPJS Health verifier. The purpose of the study was to determine the BPJS Health claim procedure at the hospital. Literature research or literature study and qualitative approach. Based on a review of 15 (fifteen) journals, it was found that there are still obstacles in the BPJS Health claim procedure so that the file is returned to the BPJS verifier. As in the case of membership administration procedures, medical resume factors, diagnosis codification factors, and action codification factors. which causes BPJS health files to be returned, namely the absence of Standard Operating Procedures which regulates the factors regarding the collection of documents for BPJS patient registration requirements. Components of author authentication and audit records are not appropriate because there is no signature of medical personnel and there are still empty parts. And the writing of the diagnosis is not specific so that the codification is not accurate and the coder on memorization does not refer to ICD-10 or only sees ICD-10 volume 3 without looking at Referring to volume 1.

QOLP-03. OBSERVATIONS OF COMPLEMENTARY CANNABIS THERAPY IN MALIGNANT GLIOMA PATIENTS

INTRODUCTION As of 5/15/2021, medical marijuana programs exist in 37 states, and marijuana is legal for recreational use in 17 states. In Connecticut, the CT Medical Marijuana Program (MMP) was created in 2012 and I began certifying my patients with malignant glioma (brain cancer) for the program in 2014. I now provide data on my experience with complementary cannabis therapy. PART 1 Between 9/1/2014 and 6/1/2018, 23 patients with malignant glioma were registered in the CT MMP and received a card. Of these 23 patients, 15 patients took a daily cannabis oil supplement for at least 6 months during their treatment, and 7 patients used cannabis products only as needed. 3 patients are still alive, all in the daily cannabis oil group (41, 54 and 77 months). The median overall survival in the daily group was 22.0 months, versus 16.9 months in the as needed group. PART 2 Since 9/1/2014, 71 patients with malignant glioma were certified for the CT MMP. Of these 71 patients, 15 did not complete the patient registration process and did not receive a card for the MMP. As of 5/15/2021, of the 56 registered patients, there are 20 Active patients and 36 Inactive patients. Regarding the Inactive patients, 29 have died and 7 are alive but did not renew their card. Amongst Active patients, 4 are currently taking a daily cannabis oil supplement as a complementary therapy, and 16 are currently using cannabis products only as needed for symptoms. The 4 patients employing complementary therapy currently have a survival of 8, 31, 33, and 35 months. CONCLUSION In my experience, complementary cannabis treatment is well tolerated in malignant glioma patients, and can provide significant palliative benefit to treat insomnia and nausea. Serious adverse events attributed to cannabis products, or decreased survival, have not been observed.

Information Technology in Hospitalization Management in a Federal Medical Organization

The article presents the experience of organizing the management process of planned hospitalization at the Federal Center for Traumatology, Orthopedics and Arthroplasty (Cheboksary). Automation of the process of hospital admission planning, including monitoring of hospital admissions failures and the length of patient stay in the PA, organization of information support for the staff of the Center's admission department based on the developed MIS "Medialog" module, related to patient registration and registration of documents specific to the federal medical center in the PA, allowed for ongoing monitoring of hospitalization, reducing the proportion of patients waiting in the emergency department for more than 3 hours, improving the quality of patient flow planning and management.

RealTime Pendaftaran Pasien Berbasis Web Service dan SMS Gateway : Pada Masa PSBB di Klinik Karisma Medika

Abstract— The current COVID-19 pandemic has an impact on all sectors of life where the government has set a policy of Large-Scale Social Restrictions (PSBB). The existence of restrictions on activities known as 3M requires Karisma Medika Clinic to adapt its operational workflow by utilizing information technology to adapt patient registration. To make it easier for patients to register and get a queue number by developing a web service-based application and SMS Gateway. The application is developed based on a web service using the Codeigniter framework with a flow of information procedures regarding the attending physician, then after selecting a doctor, will go to the registration section to fill in personal data and symptoms and complaints for consultation. The data entered in the application will be stored in the Gammu SMS engine database and through the SMS gateway, patients will receive a queue number for consultation at the clinic in real time which will continue to be updated. User response tests from 25 respondents showed that it was easy for patients to register by paying attention to health protocols of 92.25% (very easy), 5% (easy), and 2.75 % quite easy. While the satisfaction indicator is 95% (very satisfied) and 5% of respondents (satisfied).

Model Pengembangan Sistem Informasi Pendaftaran Online Pasien Pada Klinik Gigi Dentika Berbasis User Centred Design

In today's online-based era, the use of websites in carrying out patient registration procedures is very useful. Dental Clinic Dentika is one of the dental clinics located in the Tangerang area and has quite a number of patients. In the procedure for registering patients for examination, they still use a manual system, where patients come directly and wait in line for the examination. This is deemed ineffective because long lines can occur at a certain time. This web-based online patient registration is to make it easier for patients to register themselves when they are going to take medication or dental care without having to come to the clinic first. Another advantage is that it makes it easier for clinical administrative staff to serve patient registration, increases time efficiency in terms of patient care and facilitates patient data management. The User Centered Design (UCD) method is one of the right methods to solve the problem of patient registration at the Dentika Dental Clinic. This method looks at the needs of the user or users in designing an information system. The result of this study is a website that can be accessed by patients to register for the examination

Calibrating 3D Scanner in the Coordinate System of Optical Tracker for Image-To-Patient Registration

Three-dimensional scanners have been widely applied in image-guided surgery (IGS) given its potential to solve the image-to-patient registration problem. How to perform a reliable calibration between a 3D scanner and an external tracker is especially important for these applications. This study proposes a novel method for calibrating the extrinsic parameters of a 3D scanner in the coordinate system of an optical tracker. We bound an optical marker to a 3D scanner and designed a specified 3D benchmark for calibration. We then proposed a two-step calibration method based on the pointset registration technique and nonlinear optimization algorithm to obtain the extrinsic matrix of the 3D scanner. We applied repeat scan registration error (RSRE) as the cost function in the optimization process. Subsequently, we evaluated the performance of the proposed method on a recaptured verification dataset through RSRE and Chamfer distance (CD). In comparison with the calibration method based on 2D checkerboard, the proposed method achieved a lower RSRE (1.73 mm vs. 2.10, 1.94, and 1.83 mm) and CD (2.83 mm vs. 3.98, 3.46, and 3.17 mm). We also constructed a surgical navigation system to further explore the application of the tracked 3D scanner in image-to-patient registration. We conducted a phantom study to verify the accuracy of the proposed method and analyze the relationship between the calibration accuracy and the target registration error (TRE). The proposed scanner-based image-to-patient registration method was also compared with the fiducial-based method, and TRE and operation time (OT) were used to evaluate the registration results. The proposed registration method achieved an improved registration efficiency (50.72 ± 6.04 vs. 212.97 ± 15.91 s in the head phantom study). Although the TRE of the proposed registration method met the clinical requirements, its accuracy was lower than that of the fiducial-based registration method (1.79 ± 0.17 mm vs. 0.92 ± 0.16 mm in the head phantom study). We summarized and analyzed the limitations of the scanner-based image-to-patient registration method and discussed its possible development.