RANCANG BANGUN APLIKASI TRACER MEDICAL RECORD FILE BERBASIS HYPERTEXT PREPROCESSOR DI RUMAH SAKIT UMUM DAERAH ( RSUD ) WANGAYA KOTA DENPASAR
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.022 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".