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Record W2947481249 · doi:10.36002/jutik.v3i1.234

RANCANG BANGUN APLIKASI TRACER MEDICAL RECORD FILE BERBASIS HYPERTEXT PREPROCESSOR DI RUMAH SAKIT UMUM DAERAH ( RSUD ) WANGAYA KOTA DENPASAR

2017· article· en· W2947481249 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Teknologi Informasi dan Komputer · 2017
Typearticle
Languageen
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMedical recordMedicineAgricultural scienceInternal medicineBiology

Abstract

fetched live from OpenAlex

ABSTRACTRumah Sakit Umum Daerah (RSUD) Wangaya of Denpasar City has not used tracer yet toprocess and take the medical record. The lending book or expedition book that has function recordsubject, quantity and time of medical record movement, is not available in the medical recordinstalation. According the earlier records that was hold in Rumah Sakit Umum Daerah (RSUD)Wangaya of Denpasar city on May-June 2016, it has been knowing that 22.3% medical record hasbeen missfiled. It consist 867 from 3.950 medical record. That case cause dropout of medical record.Rumah Sakit Umum Daerah (RSUD) Wangaya of Denpasar City needs an integrated applicationand it can be used to coordinate medical record distribution between medical record departmentstaff and polyclinic staff. The goal of this research is to design and develop a medical record filetracer application based on hypertext preprocessor to help staff to trace the medical record. Thisapplication is developed with PHP programming language and MySQL as the database server.Development of this system used System Development Life Cycle (SDLC) method. The MedicalRecord File Tracer Application Based On Hypertext Preprocessor is hoped to help the medicalrecord department staff and polycilinic staff to trace and monitors the medical record patient.Keyword : Medical record, file tracer, php, filing, medical record drop out.ABSTRAKRumah Sakit Umum Daerah (RSUD) Wangaya Kota Denpasar belum menggunakan tracerdalam proses pengambilan rekam medis. Buku peminjaman atau buku ekspedisi yang berfungsiuntuk mencatat siapa dan berapa jumlah rekam medis yang dipinjam serta tanggal rekam medisdipinjam tidak tersedia di instalasi rekam medis. Berdasarkan studi pendahuluan yang dilakukan diRumah Sakit Umum Daerah (RSUD) Wangaya Kota Denpasar pada bulan Mei -Juni 2016 diketahuijumlah kejadian missfile sebanyak 867 rekam medis dari 3.950 rekam medis dengan tingkatpersentase mencapai 22.3%. Hal ini menyebabkan terjadinya dropout rekam medis.Rumah SakitUmum Daerah (RSUD) Wangaya Kota Denpasar membutuhkan aplikasi yang terintegrasi dan dapatdigunakan untuk koordinasi distribusi rekam medis antara petugas rekam medis dan petugas poli.Tujuan penelitian ini adalah menghasilkan rancang bangun aplikasi tracer medical record fileberbasis hypertext preprocessor (PHP) untuk mempermudah petugas melakukan proses pelacakandan monitoring rekam medis. Aplikasi ini dikembangkan dengan bahasa pemrograman PHP danMySQL sebagai database server. Pengembangan aplikasi ini menggunakan metodelogi SystemDevelopment Life Cycle (SDLC). Aplikasi medical record file berbasis hypertext preprocessordiharapkan dapat membantu petugas rekam medis untuk melacak dan memonitoring rekam medispasien.Kata kunci : Rekam medis, file tracer, php, filing , dropout rekam medis

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0060.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.267
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it