scholarly journals Accuracy Implementation of Medical Record Management Information System with Waterfall Design System and ISO 9126

2020 ◽  
pp. 36-45
Author(s):  
Wahyu Wijaya Widiyanto ◽  
Sri Wulandari
Keyword(s):  
Information System ◽  
Medical Record ◽  
Management Information System ◽  
Record Management ◽  
Management Information ◽  
Medical Record Data ◽  
Patient Medical Record ◽  
Average Value ◽  
Record Data ◽  
Iso 9126

Aims: Based on the observations of researchers, some health facilities still use manual processes / have not been documented by the information system resulting in slow service, this study aims to improve health services with a medical record information system. Methodology: The method used in this study is an analysis of information systems with the waterfall method and accuracy testing with ISO 9126. Results: The results of this medical record management information system run well based on black-box testing and white box results obtained both from an average value of 82 based on the ISO 9126 scale conversion table. Conclusion: Based on the results of the average value obtained from the validation test carried out on 3 expert examiners, it can be concluded that the application for the validation system for the validation and distribution of this letter has met the ISO 9126 standard with an average good interpretation of a total value of 82, and according to be able to simplify the process of Patient Medical Record Data Management without neglecting the safety aspects of the validation and distribution process, minimizing data loss, simplifying the reporting process and facilitating the processing of patient medical record data.

scholarly journals Pemodelan Ancaman Sistem Keamanan E-Health menggunakan Metode STRIDE dan DREAD

2021 ◽  
Vol 5 (2) ◽  
pp. 157-166
Author(s):  
Muhammad Khairul Faridi ◽  
◽  
Imam Riadi ◽  
Yudi Prayudi ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Management Information System ◽  
Medical Records ◽  
Hospital Management ◽  
Management Information ◽  
Sensitive Data ◽  
Patient Medical Record ◽  
Threat Modeling ◽  
Threat Level ◽  
Record Data

The Hospital Management Information System (SIMRS) functions as a medium for hospital information and hospital management. There are patient medical record data, which is the result of interactions between doctors and sufferer. Medical records are sensitive data so that the security of the hospital management information system needs to be improved to convince users or patients that the data stored on SIMRS is safe at attackers. There are several ways to improve system security, one of which is by threat modeling. Threat modeling aims to identify vulnerabilities and threats that exist in SIMRS. In this paper, threat modeling will use the STRIDE-model. The recognition with the STRIDE-model will then be analyzed and sorted according to the modeling with the STRIDE method. After the analysis is complete, it will be calculated and given a rating based on the DREAD method's assessment. The STRIDE method's results show that there are several threats identified, such as there is one threat on the user side, the webserver is five threats, and the database is three threats. The level of the threat varies from the lowest-level (LowL) to the highest-level (HiL). Based on the threat level, it can be a guide and sequence in improving and improving the security system at SIMRS, starting from the LowL to the HiL.

Analisis Tingkat Kematangan Sistem Informasi Manajemen Rumah Sakit Menggunakan COBIT 4.1 (Studi Kasus : Rumah Sakit Universitas Muhammadiyah Malang)

Repositor ◽  
2020 ◽  
Vol 2 (12) ◽  
pp. 1585
Author(s):  
Brima Helpiono ◽  
Wildan Suharso ◽  
Evi Dwi Wahyuni
Keyword(s):  
Information System ◽  
Management Information System ◽  
It Governance ◽  
Maturity Level ◽  
Management Information ◽  
Average Value

AbstrakTeknologi Informasi (TI) telah berkembang sangat pesat sehingga kebutuhan yang sangat penting saat ini, tidak terkecuali bagi perusahaan, instansi maupun lembaga. Rumah sakit menerapkan TI dalam bentuk sistem informasi manajemen tumah sakit atau juga disebut SIMRS. Dalam menyelenggarakan SIMRS, COBIT (Control Objectives for Information and Related Technology) merupakan kerangka kerja yang sangat direkomendasikan untuk melakukan tata kelola TI, hal itu disebutkan dalam bab empat mengenai tata kelola pada lampiran peraturan menteri kesehatan nomor 82 tahun 2013 tentang penyelenggaraan SIMRS. Saat ini, RS UMM belum menggunakan COBIT untuk tata kelola TI, terutama dalam menganilisis tingkat kematangan dari SIMRS yang sudah diterapkan. Pada penelitian ini, penulis mengukur nilai tingkat kematangan SIMRS yang ada di RS UMM menggunakan proses TI pada COBIT 4.1 diantaranya PO8, AI2, AI3, AI5, DS3 dan DS5. Hasil tingkat kematangan SIMRS UMM saat ini berada pada tingkat tiga (defined) dengan nilai rata-rata 3,02 yang artinya secara umum prosedur SIMRS UMM sudah distandarisasi dan didokumentasikan. Berdasarkan hasil tersebut, penulis memberikan rekomendasi yang mengacu pada framework  COBIT khususnya untuk mencapai tingkat empat (managed and measurable) yaitu pihak pengelola perlu mengawasi dan mengukur kepatutan SIMRS UMM serta mengambil tindakan jika terdapat proses TI yang tidak berjalan secara efektif.AbstractInformation Technology (IT) has grown so rapidly that the need that is very important at this time, not least for companies, agencies and institutions. Hospitals apply IT in the form of management information system of hospital or also called SIMRS. In organizing SIMRS, COBIT (Control Objectives for Information and Related Technology) is a highly recommended framework for IT governance, it is mentioned in chapter four on governance in the attachment of Minister of Health Regulation No. 82 of 2013 on the implementation of SIMRS. Currently, UMM Hospital has not used COBIT for IT governance, especially in analyzing the maturity level of SIMRS that has been applied. In this study, the authors measure the maturity level of SIMRS in UMM Hospital using IT process in COBIT 4.1 such as PO8, AI2, AI3, AI5, DS3 and DS5. The maturity level of SIMRS UMM is currently at the level of three (defined) with an average value of 3.02 which means that UMM's SIMRS procedure is generally standardized and documented. Based on these results, the authors provide recommendations referring to the COBIT framework in particular to achieve level four (managed and measurable) that the manager must monitor and measure the merits of SIMRS UMM and take action if there is an IT process that is not running effectively.

scholarly journals Performance analysis of AES-Blowfish hybrid algorithm for security of patient medical record data

2018 ◽  
Vol 1007 ◽  
pp. 012018 ◽  
Author(s):  
Amir Mahmud H ◽  
Bayu Angga W ◽  
Tommy ◽  
Andi Marwan E ◽  
Rosyidah Siregar
Keyword(s):  
Performance Analysis ◽  
Medical Record ◽  
Hybrid Algorithm ◽  
Medical Record Data ◽  
Patient Medical Record ◽  
Record Data

scholarly journals Rancang Bangun Sistem Informasi Rekam Medis (Studi Kasus: Klinik PKU Muhammadiyah Gandrungmangu)

2021 ◽  
Vol 1 ◽  
pp. 149-156
Author(s):  
Fathan Asyhari ◽  
Aridhanyati Arifin
Keyword(s):  
Medical Record ◽  
Record Management ◽  
Test Results ◽  
Medical Record Number ◽  
Average Value ◽  
User Management ◽  
Record Data ◽  
System Input ◽  
Manual Recording ◽  
Management Reporting

Health Services at the PKU Muhammadiyah Gandrungmangu Clinic have not made much use of information technology. Documentation of patient medical records still uses a manual recording system, causing various obstacles; for example, officers often find the same medical record number and difficulties making reports. Thus, creating a medical record information system is necessary to help manage medical record data electronically. The system was developed using the prototyping method. This system has several features: medical record management, user management, reporting system, input checking feature for vital sign results, uploading feature for supporting examination results, and patient queuing system for each poly. The results of the user convenience test using the SEQ method obtained an average value of 6 and 7. The usability test results using the SUS method also got a good response from the questionnaire questions given to the respondents, which got a total score of 90.6, meaning that the system has an excellent usability level.

scholarly journals Penerapan Sistem Data Cleansing untuk Mencegah dan Menghilangkan Duplikasi Rekam Medis

2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Nur Rokhman ◽  
Annisa Maulida Ningtyas ◽  
Marko Ferdian Salim ◽  
Dian Budi Santoso
Keyword(s):  
Information System ◽  
Health Services ◽  
Health Information ◽  
Medical Record ◽  
Health Information System ◽  
Appropriate Technology ◽  
Medical Record Data ◽  
Data Cleansing ◽  
Record Data ◽  
Effectiveness And Efficiency

Health Information System is a system that integrates the collection, processing, reporting of data, and use of information needed to increase the effectiveness and efficiency of health services through better management at all levels of health services. Kulon Progo Health Office is one of the Health Services that has utilized the Health Information System in organizing its health transactions. However, the implementation of the Health Information System still has shortcomings, namely that it was found that a patient has many medical record numbers or often referred to as duplicated medical record data. Community service activities are carried out through the use of appropriate technology at the Kulon Progo Health Office. This activity aims to implement data cleansing techniques using the "RESIK" framework  to help prevent and detect duplication of medical records and provide training to medical recorders in cleaning data. The training was attended by 105 participants, each of whom was a representative of the Puskesmas staff in the Kulon Progo Health Office area. The “RESIK” framework  was then piloted at Puskesmas Sentolo 2 as the location for the implementation of the system. From this activity, duplicate medical record data can be found at Puskesmas Sentolo 2, and then cleaning is carried out. Kulon Progo Health Office is advised to implement data cleansing using the "RESIK" framework  at all Puskesmas in the Kulon Progo area.

scholarly journals Klasterisasi Data Rekam Medis Pasien Pengguna Layanan BPJS Kesehatan Menggunakan Metode K-Means

2020 ◽  
Author(s):  
Jeri Wandana ◽  
Sarjon Defit ◽  
S Sumijan
Keyword(s):  
Medical Record ◽  
Clustering Algorithm ◽  
Disease Spread ◽  
Medical Record Data ◽  
Patient Medical Record ◽  
Data Mining Approach ◽  
New Knowledge ◽  
Record Data ◽  
Class 1 ◽  
Cluster 2

Patient histories who use the services of Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan are stored in medical record data. Each medical record data contains important information that is very valuable and can be processed to explore new knowledge using a data mining approach. This study aims to help Prof. Dr. Tabrani hospital in classifying patient data who use BPJS Kesehatan, so that the pattern of disease spread is known based on class of service. The data used is patient medical record data in 2019 from October to December, the data will be processed using the K-Means Clustering algorithm with a total of 3 clusters. In cluster 0 (H0) there are 3 patients who are dominated by A09.9 disease (Diarrhea / Dysentery) in Class 2 and Class 3, for cluster 1 (H1) there are 5 patients with more diverse types of disease, while for cluster 2 (H2) there are 5 patients who are predominantly K30 disease (Dyspepsia) in Class 1.

scholarly journals Pemodelan Ontologi Rekam Medis dengan Pendekatan Landasan Hukum Rekam Medis dan Relational Database

Petir ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 180-189
Author(s):  
Maksum Rois Adin Saf
Keyword(s):  
Information System ◽  
Medical Record ◽  
Medical Records ◽  
Record Management ◽  
Legal Basis ◽  
Analysis Method ◽  
Management Information ◽  
Information System Design ◽  
Model Database ◽  
Architecture Analysis

ABSTRACT Medical Record is one of confidential file that has a definite legal basis included in its management.Nowdays electronic medical record was developed rapidly, but the implementation of the legal basisfor medical records in the information system has not been carried out properly. Furthermore theconceptualization of the legal basis of medical records into the ontology model produces a modelthat is not easily translated into a medical record management information system design. In thisresearch. This study uses the Architecture Analysis method of Tradeoff Method to create a relationaldatabase model and then converted into an ontology with the RTAXON method. The results of thisresearch are medical record ontology models that meet the legal requirements and have ease ofimplementation in the information system. Based on the OntoQA method on the results of theontology modeling has value of Relationship Richness (RR) = 0.78, this ontology is information richor diverse and has more non-inheritance relations. Value of Attribute Richness (AR) = 6.6 , thisontology has a lot of information with an average of each class having 6 attributes. The value ofInheritance Richness (IR) = 4.5, this ontology has general knowledge, when compared with theprevious ontology there is between PSM and SWETO. ABSTRAK Rekam Medis merupakan bagian dari berkas khusus yang memiliki landasan hukum pasti dalampengelolaanya oleh instansi yang diizinkan. Pesatnya perkembangan teknologi informasi membuatpengembangan sistem informasi pengelolaan rekam medis banyak dilakukan oleh berbagai pihak,akan tetapi implementasi landasan hukum rekam medis ke dalam sistem informasi tersebut belumdilakukan secara baik. Di lain sisi konseptualisasi landasan hukum rekam medis ke dalam modelontologi menghasilkan model yang tidak mudah diterjemahkan ke dalam sebuah rancangan sisteminformasi pengelolaan rekam medis. Pada penelitian ini dilakukan proses konseptualisasi danvisualisasi rekam medis dengan menggabungkan metode pengembangan ontologi denganpendekatan model database relasional untuk menghasilkan sebuah model ontologi yang memenuhiseluruh aspek landasan hukum rekam medis dan juga mudah digunakan untuk pengembangan sisteminformasi pengelolaan rekam medis. Penelitian ini menggunakan metode Architecture TradeoffAnalysis Method untuk menghasilkan rancangan Database Relational yang kemudian dikonversikanmenjadi ontologi dengan metode RTAXON. Hasil dari peneltian ini adalah sebuah model ontologirekam medis yang memenuhi kepatuhan terhadap aturan perundangan dan memiliki kemudahanuntuk diimplementasikan ke dalam sistem informasi. Berdasarkan pengujian dengan metodeOntoQA pada hasil pemodelan ontologi yang dibuat, diperoleh nilai Relationship Richness (RR) = 0,78, yang artinya ontologi ini bersifat kaya informasi atau berragam dan lebih banyak relasi non-inheritance.Dannilai Attribute Richness (AR) = 6,6, yang artinya ontologi ini memiliki informasi yang banyak dengan rata-rata setiap class memiliki 6 attribute. Adapun nilai Inhertitance Richness(IR) = 4,5, yang artinya ontologi ini memiliki pengetahuan yang umum, jika dibandingkan denganontologi terdahulu ada diantara PSM dan SWETO.

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