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"Laboratory Medicine is an essential text for medical students and residents studying clinical pathology, medical technology students, and for practitioners working in a clinical setting. By selecting the appropriate tests and interpreting the results correctly, physicians using this book should be able to optimize patient outcomes and reduce the cost of achieving a diagnosis.This full-color guide features an easy-to-follow, consistent presentation for each disease discussed. Chapters begin with a brief description of the disorder followed by a discussion that includes tables detailing the laboratory evaluation of specific disorders, and coverage of diagnosis, baseline tests to exclude diagnostic possibilities, and clinical indications thatwarrant further screening and special testing."

"Latar belakang: Aspergilosis Paru Invasif merupakan penyakit yang berbahaya dan berisiko tinggi kematian. Penelitian mengenai skoring sebelumnya berdasarkan parameter risiko klinis dan biomarker baru untuk memprediksi API. Pada penelitian ini peneliti menggunakan parameter sederhana untuk mendiagnosa API. Tujuan: Studi ini bertujuan untuk mengembangkan model diagnosis API berdasarkan karakteristik klinis, laboratorium, foto toraks dan komorbid. Metode: Penelitian ini dilaksanakan dengan desain potong lintang, secara retrospeksif, menggunakan data rekam medis di RS Dr. Cipto Mangunkusumo (RSCM) sejak Januari 2018 hingga Desember 2022. Model determinan diagnosis Aspergilosis Paru Invasif dikembangkan dari analisis multivariat dengan regresi logistik kemudian diuji performa dan validitas internalnya. Hasil: Total sampel sebanyak 227 pasien dengan eksklusi sebanyak 20 pasien dan yang dilakukan analisis sebanyak 207 pasien. Dua ratus tujuh subjek terdiri dari 110 pasien API dan 97 pasien non-API. Pada penelitian ini demam memiliki skor 2, konsolidasi memiliki skor 2, fibrosis memiliki skor 1, jumlah neutrofil absolut memiliki skor 1, penggunaan steroid memiliki skor 2, Neutrophil Lymphocyte Ratio (NLR) memiliki skor 1. AUC =0.771, p< 0.05 yang menunjukkan hasil performa skor sedang untuk membedakan faktor determinan API. Kesimpulan: Penelitian ini menghasilkan diagnosis API,demam skor 2, konsolidasi skor 2, fibrosis skor 1, jumlah neutrofil absolut skor 1, penggunaan steroid skor 2, NLR skor 1. Skor 0-4 memiliki probabilitas 43,67% atau risiko rendah dan skor 5-8 memliki probabilitas 83,67% atau risiko tinggi faktor-faktor determinan API.

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Background: The diagnosis of IPA is complex because it relies on clinical, radiological, and microbiological criteria. Microbiology is at the core of most diagnostic tests/criteria; however, the results take a lot of time. Researchers use a combination of clinical, radiological, laboratory, and comorbid characteristics to diagnose IPA. Objective : This study aims developed IPA diagnosis model based on clinical characteristics, chest X Ray and patients comorbid. Method: This research was carried out with cross sectional design, retrospectively, using medical record data at Dr. Cipto Mangunkusumo (RSCM) from January 2018 to December 2022. The determinant model for the diagnosis of Invasive Pulmonary Aspergillosis was developed from multivariate analysis with logistic regression and then tested for performance and internal validity. Results: The total sample was 227 patients with the exclusion of 20 patients and 207 patients were analyzed. Two hundred seven subjects consisted of 115 IPA patients and 92 non-IPA patients. In the multivariate analysis this study involved fever, consolidation, fibrosis, absolute neutrophil count, Neutrophil Lymphocyte Ratio (NLR), and steroid used. In this study, fever had a score of 2, consolidation had a score of 2, fibrosis had a score of 1, absolute neutrophil count had a score of 1, steroid had a score of 2. AUC = 0.771, p< 0.05. Conclusion: This study resulted in a diagnosis of API, fever score 2, consolidation score 2, fibrosis score 1, absolute neutrophil count score 1, steroid score 2. A score of 0-4 has a probability of 43.67% or low risk and a score of 5-8 has a probability of 83.67% or high risk API determinant factors."

"Tantangan utama unit laboratorium klinik di rumah sakit saat ini adalah melakukan efisiensi biaya terutama biaya sumber daya manusia. Di sisi lain pasien dan dokter menginginkan hasil pemeriksaan laboratorium yang lebih cepat dan akurat. Penelitian ini bertujuan untuk mengetahui jumlah kebutuhan ahli teknologi laboratorium medik berdasarkan beban kerja di Unit Laboratorium Klinik Rumah Sakit Santa Maria Pekanbaru. Metode penelitian yang digunakan adalah operational research dengan analisis kuantitatif dan kualitatif. Analisis beban kerja dilakukan terhadap seluruh tenaga ahli teknologi laboratorium medik yang berjumlah 15 orang dengan metode kombinasi work sampling dan daily log. Perhitungan kebutuhan tenaga dilakukan dengan 3 metode yaitu Metode Ilyas, Metode WISN, dan Metode Full Time Equivalent. Hasil penelitian adalah dibutuhkan 18 orang tenaga ahli teknologi laboratorium medik menurut Metode Ilyas, 21 orang menurut Metode WISN, dan 17 orang menurut Metode Full Time Equivalent. Disarankan kepada Rumah Sakit Santa Maria Pekanbaru agar menambah 3 orang tenaga ahli teknologi laboratorium medik.

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The main challenge of the clinical laboratory unit in hospitals today is to carry out cost efficiency, especially the cost of human resources. On the other hand, patients and doctors want the results of laboratory tests that are faster and more accurate. This study aims to determine the number of medical laboratory technology experts needs based on workload at the Clinical Laboratory Unit of the Santa Maria Pekanbaru Hospital. The research method used is operational research with quantitative and qualitative analysis. Workload analysis was carried out on all 15 medical laboratory technology experts with a combination of work sampling and daily log methods. Calculation of workforce needs is carried out with 3 methods, namely the Ilyas Method, the WISN Method, and the Full Time Equivalent Method. The results of research were the needs of 18 medical laboratory technology experts according Ilyas Method, 21 person according WISN Method, and 17 person according Full Time Equivalent Method. It was recommended to the Santa Maria Pekanbaru Hospital to add 3 medical laboratory technology experts. "