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Due to limited surgeon in Indonesia, and many daily task that have to do by a surgeon, an efficient and simple way of medical records filling is needed. This study design is a qualitative with phenomenological method, through design thinking model. The result of this research is a prototype of IESR (Integrated Electronic Surgical Report) that designed in collaboration between design thinker team and IT team. IESR prototype concern on efficient medical record and surgical reports filling matching to clinician needs. IESR prototyping process through design thinking model implementation was carried out in 5 stages. In the emphatize, define, and ideate process, there are various problems faced by clinicians in medical records and surgical reports filling. By formulating various problem solving suggestion , the chosen solution was designing IESR prototype. The prototyping stage was carried out by storyboards making and prototypes designing collaborating with the IT team. The testing phase shown 87.5% of informan stated that the IESR prototype was easy to use, and 75% informan stated timely efficient, 75 % informan stated that the prototype already matching clinicians needs. IESR prototype hopefully emphasized medical record filling concerned on surgical report efficiently by operator doctor.
Latar belakang: Penelitian ini mengembangkan sistem digital untuk layanan Medical Check Up (MCU) di Rumah Sakit Permata Cibubur menggunakan pendekatan Design Thinking. Sistem meliputi pendaftaran online, rekam medis elektronik, dan laporan digital. Integrasi Artificial Intelligence digunakan untuk otomatisasi laporan hasil pemeriksaan. Hasilnya, digitalisasi meningkatkan efisiensi, akurasi, dan kepuasan pasien, serta mendukung kebijakan nasional transformasi layanan kesehatan. Tujuan penelitian: Mengembangkan sistem digital MCU berbasis Design Thinking untuk meningkatkan efisiensi layanan dan mendukung transformasi digital di Rumah Sakit Permata Cibubur. Metodologi penelitian: Penelitian ini menggunakan metode kualitatif dengan mengadopsi Design Thinking dan elemen kuantitatif (mix methods) untuk mendukung validasi data. Data diperoleh melalui wawancara, observasi lapangan, kuisioner, dan dokumentasi lalu dianalisis secara tematik dan deskripsi kuantitatif. Informan terdiri dari dokter, perawat, manajemen, staf kesehatan dan petugas administrasi. Kuisioner kepada pasien dengan menggunakan Liker't Scale (sangat puas, puas, tidak puas, sangat tidak puas) dengan tujuan mengukur kepuasan penggunaan sistem digital MCU berdasarkan pendekatan Design Thinking. Hasil penelitian: Pengguna dan dokter mendukung sistem digital MCU berbasis AI untuk mempercepat proses dan meningkatkan akurasi, meskipun pemeriksaan fisik langsung tetap diperlukan, dengan survei pasien menunjukkan kepuasan tinggi namun masih perlu perbaikan pada kecepatan dan kemudahan penggunaan.
Background: This research develops a digital system for Medical Check Up (MCU) at Permata Cibubur Hospital uses the Design Thinking approach.The system include online registration, electronic medical records, and digital reports. Artificial Intellgence intragtion is used to automateexamination result report. Articial Intelligencein used to automate examination result reports.As a result, digitalization improves efficiency accuracy and patient satisfaction and supports the national policy of health service transformation. Research objectives: Develop a digital MCUsystem based on Design Thinking to improve service efficiency and support digital transformation at Permata Cibubur Hospital. Research methodology: This study uses a qualitative method by adopting Design Thinking anf quantitative elements (mix methods) to support data validation. Data were obtained through interviews, field observations, consisted of doctors, nurses, management, health staff and administrative officers. Questionnaires for patients using the Likert Scale (very satisfied, satisfied, dissatisfied, very dissatisfied)with the aim of measuring satisfaction with the use of the digital. MCU system based on the Design Thinking approach.Research result: Users and doctors support the AI-based digital MCU system to speed up the process and improve accuracy, although direct physical examinations are still needed, with patient surveys showing high satisfaction but still needing improvement in speed and ease of use.
