mimic iii patient discharge report

What is the current version of the mimic-III database?

The current version of the database is v1.4. When referencing this version, we recommend using the full title: MIMIC-III v1.4. MIMIC-III v1.4 was released on 2 September 2016. It was a major release enhancing data quality and providing a large amount of additional data for Metavision patients.

How many patients were admitted to critical care units between 2001-2012?

MIMIC-III contains data associated with 53,423 distinct hospital admissions for adult patients (aged 16 years or above) admitted to critical care units between 2001 and 2012. In addition, it contains data for 7870 neonates admitted between 2001 and 2008. The data covers 38,597 distinct adult patients and 49,785 hospital admissions.

Can machine learning predict sepsis in ICU patients?

Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction of sepsis is essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible prediction algorithms with potential advantages over conventional regression and scoring system.

What happened to the code column in Itemid mimic-III?

#163 - The CODE column has been removed from MICROBIOLOGYEVENTS and D_ITEMS as it was redundant to ITEMID MIMIC-III v1.1 was released on 24 September 2015. It was primarily a bug fix release, and addresses the following issues: #116 - CGID was incorrect in the DATETIMEEVENTS, CHARTEVENTS, IOEVENTS and NOTEEVENTS tables. It has now been corrected.

What is MIMIC III dataset?

The Medical Information Mart for Intensive Care III (MIMIC-III) dataset is a large, de-identified and publicly-available collection of medical records. Each record in the dataset includes ICD-9 codes, which identify diagnoses and procedures performed.

How do you document a patient discharge?

6 Components of a Hospital Discharge SummaryReason for hospitalization: description of the patient's primary presenting condition; and/or. ... Significant findings: ... Procedures and treatment provided: ... Patient's discharge condition: ... Patient and family instructions (as appropriate): ... Attending physician's signature:

How do I access mimic III?

After activating your PhysioNet account, visit https://physionet.org/works/MIMICIIIClinicalDatabase/access.shtml to request access to MIMIC III. Read and accept the Data Use Agreement shown below. This will take your to the agreement form.

How do you read a discharge summary?

0:327:12Physician Documentation: Discharge Summary - YouTubeYouTubeStart of suggested clipEnd of suggested clipIncluding the condition on discharge instructions specifying medications findings or level ofMoreIncluding the condition on discharge instructions specifying medications findings or level of physical activity the patient's diet any follow-up care and patient teaching.

What is discharge summary report?

A discharge summary is a clinical report prepared by a health professional at the conclusion of a hospital stay or series of treatments. It is often the primary mode of communication between the hospital care team and aftercare providers.

How do you write a patient summary?

A good medical summary will include two components: 1) log of all medications and 2) record of past and present medical conditions. Information covered in these components will include: Contact information for doctors, pharmacy, therapists, dentist – anyone involved in their medical care. Current diagnosis.

How many hospital admissions are there in MIMIC III?

In addition, it contains data for 7870 neonates admitted between 2001 and 2008. The data covers 38,597 distinct adult patients and 49,785 hospital admissions. The median age of adult patients is 65.8 years (Q1–Q3: 52.8–77.8), 55.9% patients are male, and in-hospital mortality is 11.5%. The median length of an ICU stay is 2.1 days (Q1–Q3: 1.2–4.6) and the median length of a hospital stay is 6.9 days (Q1-Q3: 4.1–11.9). A mean of 4579 charted observations (’chartevents’) and 380 laboratory measurements (’labevents’) are available for each hospital admission. Table 1provides a breakdown of the adult population by care unit.

What is MIMIC III?

MIMIC-III integrates deidentified, comprehensive clinical data of patients admitted to the Beth Israel Deaconess Medical Center in Boston, Massachusetts, and makes it widely accessible to researchers internationally under a data use agreement (Fig. 1). The open nature of the data allows clinical studies to be reproduced and improved in ways that would not otherwise be possible.

When was Mimic II released?

Based on our experience with the previous major release of MIMIC (MIMIC-II, released in 2010) we anticipate MIMIC-III to be widely used internationally in areas such as academic and industrial research, quality improvement initiatives, and higher education coursework.

Who built the MIMIC III database?

A.E.W.J., T.J.P., L.S., M.F. and L.-w.L. built the MIMIC-III database. All authors gave input into the database development process and contributed to writing the paper.

What is MIC III?

MIMIC-III (Medical Information Mart for Intensive Care III) is a large, freely-available database comprising of de-identified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. This database includes information such as demographics, vital sign measurements made at the bedside, laboratory test results, procedures, medications, caregiver notes, imaging reports, and mortality (both in and out of hospital). More information about the MIMIC-III database as well as information on how to access this database can be found on Physionet’s website ( https://mimic.physionet.org/ ).

What is the purpose of the Sepsis-related organ failure score?

The purpose of the score was to provide the clinical community with an objective measure of the severity of organ dysfunction in a patient. It is stressed that the score is not meant as a direct predictor of mortality but rather a measure of morbidity, or the level of the diseased state, in a patient. The score is evaluated for 6 organ systems: pulmonary, renal, hepatic, cardiovascular, haematologic and neurologic. Each system’s result is given a score from 0–4 which causes the scores range to be from 0–24 with 0 being the least severe condition and 24 being the most severe condition and an average having >90% chance of mortality.

How many tables are there in the CAREGIVERS database?

From the 25 tables including ADMISSIONS, CALLOUT, CAREGIVERS, PRESCRIPTIONS, SERVICES and TRANSFERS provided in the database, users can gather a lot of information about each patient and use this information for a myriad of machine learning/ deep learning tests and predictions. I will be focusing on how to use this information to improve patient mortality rate predictions and patient re-admission predictions.

Can you transfer a Mimic III database into a RDMS?

When allowed access to the MIMIC-III database, it is suggested that you transfer all of this information into a RDMS (relational database management system) and Physionet has tutorials on how to transfer the database into a local instance of the PostgreSQL RDMS which I followed. After connecting to the PostgreSQL database, I was able to easily make SQL queries and connect my database to many helpful tools such as pgAdmin4 which provides a GUI (graphical user interface) for the database.

How many notes are in a sample of MIMIC III?

The sampled MIMIC-III data is further split randomly into training, validation, and test sets, such that all sentences from a document go to the same set, with 518, 100, and 100 notes respectively.

Why is a discharge summary important?

Continuity of care is crucial to ensuring positive health outcomes for patients discharged from an inpatient hospital setting, and improved information sharing via discharge summaries can help. When patients are discharged, they often require further actions to be taken by their primary care provider (PCP), who manages their long-term health, such as reviewing lab test results once they are available. Jackson et al. [1] found that following up on pending clinical actions is critical for minimizing risk of medical error during care transitions, especially for patients with complex treatment plans. However, discharge summaries are often lengthy, so scanning the document for specific action items can be time-consuming and error-prone.

What is post discharge instructions?

Post-discharge instructions that are directed to the patient, so the PCP can ensure the patient understands and performs them.

What does DISCHARGE_WARDID mean?

DISCHARGE_WARDID indicates the ward to which the patient was actually discharged. DISCHARGE_WARDID = 0 indicates home and other values correspond to distinct wards in the hospital.

What is CURR_CAREUNIT in ICU?

CURR_WARDID identifies the ward in which the patient resides when called out (i.e. prior to discharge/transfer). CURR_CAREUNIT indicates which ICU cost center the CURR_WARDID corresponds to (note: since all patients are being discharged from an ICU, all patients should reside in an ICU cost center).

What is admission type?

ADMISSION_TYPE describes the type of the admission: ‘ELECTIVE’, ‘URGENT’, ‘NEWBORN’ or ‘EMERGENCY’. Emergency/urgent indicate unplanned medical care, and are often collapsed into a single category in studies. Elective indicates

Does D_CPT have a one to one mapping?

Unlike all other definition tables, D_CPT does not have a one to one mapping with the corresponding CPT_CD in CPTEVENTS, rather each row of D_CPT maps to a range of CPT_CD.

Do HCFA codes have multiple descriptions?

HCFA-DRG codes have multiple descriptions as they have changed over time. Sometimes these descriptions are similar, but sometimes they are completely different diagnoses. Users will need to select rows using both the code and the description.

Is call out data available for all adult patients?

Call out data is not available for all adult patients, as the data collection only began part way through the collection of the MIMIC database Call out data is never available for neonates

Does the microbiology event table contain cultures from samples taken outside the ICU?

The MICROBIOLOGYEVENTS table does not contain cultures from samples taken outside the ICU If the specimen is null, then the culture had no growth reported.

Abstract

The latest MIMC III (Medical Information Mart for Intensive Care III) database has rich information on over 58k patient’s medical histories for over 11 years.

Keywords

ScienceDirect Available online at www.sciencedirect.com Procedia Computer Science 168 (2020) 112–117 1877-0509 © 2020 The Authors. Published by Elsevier B.V.

What is the MIMIC III?

MIMIC-III is the third iteration ofthe MIMIC critical care database, enabling us to draw upon prior experience with regard to datamanagement and integration3.

How many tables are in MIMIC III?

MIMIC-III is a relational database consisting of 26 tables (Data Citation 1). Tables are linked byidentifiers which usually have the suffix ‘ID’. For example, SUBJECT_ID refers to a unique patient,HADM_ID refers to a unique admission to the hospital, and ICUSTAY_ID refers to a unique admissionto an intensive care unit.

Abstract

Background

Methods

• CLIP is created on top of the popular clinical dataset MIMIC-III [4,5]. The MIMIC-III dataset contains 59,652 critical care discharge summaries from the Beth Israel Deaconess Medical Center over the period of 2001 to 2012, among millions of other notes and structured data. We annotated 718 randomly sampled discharge summaries from the set of patien...

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Data Description

Usage Notes

References