Comparison of Prescription and Medical Records in Reflecting Patient Antihypertensive Drug Therapy

1994 ◽  
Vol 28 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Dale B. Christensen ◽  
Barbara Williams ◽  
Harold I. Goldberg ◽  
Diane P. Martin ◽  
Ruth Engelberg ◽  
...  
Keyword(s):  
Medical Record ◽  
Medical Records ◽  
Health Maintenance Organizations ◽  
Antihypertensive Drug Therapy ◽  
Antihypertensive Medications ◽  
Pharmacy Records ◽  
Health Maintenance ◽  
Computer Based ◽  
High Level ◽  
Level Of Agreement

OBJECTIVE: To determine the completeness of prescription records, and the extent to which they agreed with medical record drug entries for antihypertensive medications. SETTING: Three clinics affiliated with two staff model health maintenance organizations (HMOs). PARTICIPANTS: Randomly selected HMO enrollees (n=982) with diagnosed hypertension. METHODS: Computer-based prescription records for antihypertensive medications were reviewed at each location using an algorithm to convert the directions-for-use codes into an amount to be consumed per day (prescribed daily dosage). The medical record was analyzed similarly for the presence of drug notations and directions for use. RESULTS: There was a high level of agreement between the medical record and prescription file with respect to identifying the drug prescribed by drug name. Between 5 and 14 percent of medical record drug entries did not have corresponding prescription records, probably reflecting patient decisions not to have prescriptions filled at HMO-affiliated pharmacies or at all. Further, 5–8 percent of dispensed prescription records did not have corresponding medical record drug entry notations, probably reflecting incomplete recording of drug information on the medical record. The percentage of agreement of medical records on dosage ranged from 68 to 70 percent across two sites. Approximately 14 percent of drug records at one location and 21 percent of records at the other had nonmatching dosage information, probably reflecting dosage changes noted on the medical record but not reflected on pharmacy records. CONCLUSIONS: In the sites studied, dispensed prescription records reasonably reflect chart drug entries for drug name, but not necessarily dosage.

A Comparison of Two Sources of Data on Fungaemia in Two Hospitals

2005 ◽  
Vol 34 (3) ◽  
pp. 88-93 ◽  
Author(s):  
Quoc Nguyen ◽  
Beth Reid
Keyword(s):  
Medical Record ◽  
Bloodstream Infection ◽  
Hospital Discharge ◽  
Medical Records ◽  
Hospital Environment ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
High Level

Fungal bloodstream infection (BSI) is of increasing concern in the hospital environment. This study compared routine hospital discharge data at two inner Sydney hospitals with a pathology database over a 6-year period. A high level of underreporting was found, with only 42% of the pathology database cases assigned an appropriate code in the hospital discharge data despite evidence of the infection being found in 97% of the medical records identified from the pathology database. The location of the evidence in the medical record had an impact on whether or not the infection was assigned a code. There was a greater likelihood that a code would be assigned if the infection was documented on the front sheet of the medical record. Improvements can be made to the reporting of fungal BSI if clinicians record it on the front sheet and if coders review the whole medical record before coding.

Assessing Compliance to Antihypertensive Medications Using Computer-Based Pharmacy Records

Medical Care ◽  
1997 ◽  
Vol 35 (11) ◽  
pp. 1164-1170 ◽  
Author(s):  
Dale B. Christensen ◽  
Barbara Williams ◽  
Harold I. Goldberg ◽  
Diane P. Martin ◽  
Ruth Engelberg ◽  
...  
Keyword(s):  
Antihypertensive Medications ◽  
Pharmacy Records ◽  
Computer Based

scholarly journals Validation and Quality Assessment of the Kilimanjaro Cancer Registry

2016 ◽  
Vol 2 (6) ◽  
pp. 381-386 ◽  
Author(s):  
Leah L. Zullig ◽  
Kristin Schroeder ◽  
Pilli Nyindo ◽  
Theresia Namwai ◽  
Elvis Silayo ◽  
...  
Keyword(s):  
Data Quality ◽  
Medical Record ◽  
Cancer Registry ◽  
Medical Records ◽  
Medical Center ◽  
Cancer Site ◽  
Cancer Information ◽  
Middle Income ◽  
Data Elements ◽  
High Level

Purpose Global cancer burden has increasingly shifted to low- and middle-income countries and is particularly pronounced in Africa. There remains a lack of comprehensive cancer information as a result of limited cancer registry development. In Moshi, Tanzania, a regional cancer registry exists at Kilimanjaro Christian Medical Center. Data quality is unknown. Our objective was to evaluate the completeness and quality of the Kilimanjaro Cancer Registry (KCR). Methods In October 2015, we conducted a retrospective review of KCR by validating the internal consistency of registry records with medical and pathology records. We randomly sampled approximately 100 total registry cases. Four reviewers not associated with the KCR manually collected data elements from medical records and compared them with KCR data. Results All 100 reviewed registry cases had complete cancer site and morphology included in the registry. Six had a recorded stage. For the majority (n = 92), the basis of diagnosis was pathology. Pathology reports were found in the medical record for 40% of patients; for the remainder, these were stored separately in the pathology department. Of sampled registry cases, the KCR and medical records were 98% and 94% concordant for primary cancer site and morphology, respectively. For 28%, recorded diagnosis dates were within 14 days of what was found in the medical record, and for 32%, they were within 30 days. Conclusion The KCR has a high level of concordance for classification and coding when data are retrieved for validation. This parameter is one of the most important for measuring data quality in a regional cancer registry.

Perencanaan Arsitektur Sistem Informasi Rekam Medis dan Monitoring Gizi Buruk Berbasis Cloud Computing (Studi Kasus: Dinas Kesehatan Propinsi Jawa Barat)

2017 ◽  
Vol 8 (3) ◽  
Author(s):  
Ova Nurisma Putra
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Medical Record ◽  
Medical Records ◽  
Monitoring And Evaluation ◽  
Open Group ◽  
Development Method ◽  
Information System Architecture ◽  
Architecture Framework ◽  
Architecture Development

Abstract. West Java Provincial Health Office still faces difficulties in managing information, especially in medical records. Recording and reporting of malnutrition are still done in some stages starting from collecting data from village midwives, puskesmas, Regency/City Health Office then Provincial Health Office and forwarded to the the central office. It is necessary to manage information through service system by utilizing Cloud Computing based on information technology. This research uses The Open Group Architecture Framework (TOGAF) approach in Architecture Development Method (ADM), from Architecture Capability Iteration to  Architecture Development Iteration. Monitoring and Evaluation (M & E) are two integrated activities in the context of controlling a program. The results of this research are planning a medical record information system architecture and monitoring malnutrition based on Cloud Computing with the name of M2Rec (Medical Record and Monitoring) in the form of integrated recommendation and development between current information system and proposed information system architecture.Keywords: togaf adm, medical record and monitoring, cloud computing Abstrak. Perencanaan Arsitektur Sistem Informasi Rekam Medis dan Monitoring Gizi Buruk Berbasis Cloud Computing. Dinas Kesehatan Propinsi Jawa Barat masih mengalami kesulitan dalam pengelolaan informasi yang baik, terutama pada proses rekam medis, pencatatan dan pelaporan gizi buruk masih dilakukan secara bertingkat mulai pengumpulan data dari bidan desa, puskesmas, Dinas Kesehatan Kabupaten/Kota kemudian Dinas Kesehatan Propinsi dan diteruskan ke pusat. Sehingga perlu diupayakan pengelolaan informasi melalui sistem pelayanan dengan memanfaatkan teknologi informasi berbasis Cloud Computing. Penelitian ini menggunakan pendekatan framework The Open Group Architecture Framework (TOGAF) Architecture Development Method (ADM), yaitu iterasi ke satu pada Architecture Capability Iteration daniterasi ke dua pada Architecture Development Iteration. Monitoring dan Evaluasi (M&E) merupakan dua kegiatan terpadu dalam rangka pengendalian suatu program. Hasil dari penelitian ini adalah perencanaan arsitektur sistem informasi rekam medis dan monitoring gizi buruk berbasis Cloud Computing dengan nama M2Rec (Medical Record and Monitoring) yang berupa rekomendasi integrasi dan pengembangan antara sistem informasi berjalan saat ini dengan arsitektur sistem informasi yang diusulkan.Kata kunci: togaf adm, medical record and monitoring, cloud computing.

Analisis Unsur Manajemen dalam Pengolahan Rekam Medis di Rumah Sakit TNI AU Lanud Roesmin Nurjadin

2018 ◽  
Vol 1 (1) ◽  
pp. 20-25
Author(s):  
Henny Maria Ulfa
Keyword(s):  
Medical Record ◽  
Medical Records ◽  
Processing Method ◽  
Qualitative Approach ◽  
Check List ◽  
Training Material ◽  
Patient Medical Record ◽  
Qualitative Descriptive ◽  
Material Element ◽  
Descriptive Method

Hospitals must conduct a medical record activities according to Permenkes NO.269 / MENKES / PER / III / 2008 about Medical Record, to achieve the purpose of medical record processing required 5 management elements are: man, money, material, machine, and method. The medical record processing that has been implemented at the Hospital TNI AU LANUD Roesmin Nurjadin that is coding, coding only done for BPJS patients whose conducted by the officer with education background of D3 nursing, it be impacted to the storage part is wrong save and cannot found patient medical record file because are not returned. The purpose of this research is to know the element of management in the processing of medical records at the Hospital TNI AU LANUD Roesmin Nurjadin. This research is done by Qualitative descriptive method, Qualitative approach, instrument of data collection of interview guidance, observation guidance, check list register, and stationery, number of informant 6 people with inductive way data analysis. The result of this research found that Mans elements only amounts to 2 people so that officers work concurrently and have never attended training, material element and machines elements of medical record processing not yet use SIMRS and tracer, while processing method elements follow existing habits and follow the policy of hospital that is POP organization. Keywords: Management elements, medical record processing

The Effect of Physician and Corporate Interests on the Formation of Health Maintenance Organizations

1993 ◽  
Vol 99 (1) ◽  
pp. 164-200 ◽  
Author(s):  
Douglas R. Wholey ◽  
Jon B. Christianson ◽  
Susan M. Sanchez
Keyword(s):  
Health Maintenance Organizations ◽  
Health Maintenance ◽  
Corporate Interests

scholarly journals Automatic Placement of Genomic Research Results in Medical Records: Do Researchers Have a Duty? Should Participants Have a Choice?

2015 ◽  
Vol 43 (4) ◽  
pp. 827-842
Author(s):  
Anya E.R. Prince ◽  
John M. Conley ◽  
Arlene M. Davis ◽  
Gabriel Lázaro-Muñoz ◽  
R. Jean Cadigan
Keyword(s):  
Medical Record ◽  
Medical Records ◽  
Genomic Research ◽  
Research Results ◽  
Research Participants ◽  
Difficult Question ◽  
Automatic Placement ◽  
Study Participants ◽  
Research Studies

The growing practice of returning individual results to research participants has revealed a variety of interpretations of the multiple and sometimes conflicting duties that researchers may owe to participants. One particularly difficult question is the nature and extent of a researcher’s duty to facilitate a participant’s follow-up clinical care by placing research results in the participant’s medical record. The question is especially difficult in the context of genomic research. Some recent genomic research studies — enrolling patients as participants — boldly address the question with protocols dictating that researchers place research results directly into study participants’ existing medical records, without participant consent. Such privileging of researcher judgment over participant choice may be motivated by a desire to discharge a duty that researchers perceive themselves as owing to participants. However, the underlying ethical, professional, legal, and regulatory duties that would compel or justify this action have not been fully explored.

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