Ottawa Business Journal

From: Subject: Ottawa Business Journal Date: Thu, 13 Nov 2008 20:52:05 -0500 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01C945D1.AFB7A7A0" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.5579 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01C945D1.AFB7A7A0 Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.ottawabusinessjournal.com/293079562324450.php Ottawa Business Journal

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Private eyes are watching you ...=20 electronically
By Elizabeth=20 Howell, Ottawa Business Journal Staff
Wed, Nov 12, 2008 4:00 PM=20 EST

Click to Enlarge

Khaled El Emam, University = of Ottawa=20 professor and head of Privacy Analytics Inc. (Etienne = Ranger,=20 OBJ)

Local company safeguards health records

Khaled El Emam says he teaches his students not to trust = in=20 anonymous data.

The University of Ottawa professor, who holds positions = at a=20 trifecta of local institutions, routinely has his students=20 cross-reference what are supposed to be anonymous land = registries,=20 real estate databases and the like with phone books and the=20 Internet.

He says it usually doesn't take long before names start = popping=20 up =96 a lesson he bore in mind when developing a new = medical record=20 tool for the Children's Hospital of Eastern Ontario (CHEO). = It was=20 announced officially at the Nov. 3 Electronic Health = Information and=20 Privacy Conference in Ottawa.

"Basically as more health information is being collected = and=20 stored electronically, with the increase in electronic = health=20 records, a lot of health information is available. It's = there, it's=20 being collected, which makes it easy to exchange, to = analyze, and so=20 on," says Mr. El Emam, who is also a senior investigator at = the CHEO=20 Research Institute.

"So now a lot of people want this data. It's much easier = than=20 collecting thousands of paper records. You can just get a CD = with=20 thousands of electronic records."

Mr. El Emam's privacy analytics risk assessment tool uses = personal data from a health record =96 such as name, address = and date=20 of birth =96 and strips away the identifiable parts, leaving = only=20 medical information behind. If confronted with a birth date = of March=20 5, 1946, for example, the computer program can automatically = change=20 it to a range of 1940 to 1950.

It took four years of research to bring the tool to its = current=20 trial run at CHEO, where researchers use it to share = pharmaceutical=20 data.

Mr. El Emam also co-founded his company, Privacy = Analytics Inc.,=20 to commercialize the tool and make it available to other=20 institutions. So far, four entities in Manitoba, = Newfoundland and=20 Ontario have also begun trial runs of the tool.

The aim is to easily make data available for researchers, = he=20 says. For example, public health officials take advantage of = anonymous data to track disease outbreaks by monitoring = hospital=20 admissions, adds Mr. El Emam.

"The idea was to come in and say look, we can manage the = risk. We=20 can anonymize the data so you can release the data knowing = that=20 you've done what's more than reasonable to protect the = data," he=20 says.

Personal health data in Canada is protected by provincial = legislation. In Ontario, the 2004 Personal Health Privacy = Protection=20 Act outlines guidelines for health-care providers to follow = when=20 collecting and distributing sensitive information. But if = the data=20 is made anonymous =96 by removing names and birth dates, for = example =96=20 the restrictions fall away.

Researchers also have to submit a proposal to a = hospital's=20 research ethics board before accessing sensitive records. =

Still, there are concerns about having such information = publicly=20 available. "There's been a strong limitation on the capacity = of=20 using (health) information," points out Alan Forster, = co-director of=20 the Ottawa Hospital Centre for Patient Safety.

"I think those sensitivities are very appropriate because = of the=20 nature of the information contained in the electronic = records.

"I think it's appropriate for a health system to take the = attitude that access to information is a no-go unless there = are=20 steps taken to anonymize the data."

In 1998, the Canadian Medical Association (CMA) developed = a=20 privacy code for members after a House of Commons committee = raised=20 questions about how health custodians deal with personal=20 information.

With advances in technology since then, says CMA = president Robert=20 Ouellet, the association feels an update is needed. So a new = privacy=20 code will be issued at the beginning of next year. "We need = to be=20 sure that we know where this information is going," he says. = "Doctors still have the custody of that information because = the=20 patient gave us that information. And who's allowed to use = it? That=20 is something we are discussing."

"It doesn't mean," he adds, "that we don't want to share=20 information with the researcher, because the researcher is=20 important. We just want to ensure (it) remains private." =

* To print this page, click on the = "Printer=20 Friendly Version" link above. When the new window opens, = right-click=20 with your mouse in the new window and select=20 "Print".

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\n = \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n = \n \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n \n \n = \n \n \n = \n \n \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n \n = \n \n \n \n

Name	Last		Chg	% Chg
\n \n \n \n = \n TSX Comp\n \n = \n \n \n = \n \n	9352.78	\n \n $3D\"\"$ \n = \n	\n \n 430.21	\n \n 4.82%
\n = \n \n \n = \n S&P/TSXV\n \n = \n \n \n \n = \n	813.59	\n = \n $3D\"\"$ \n = \n	\n \n -8.91	\n \n -1.08%
\n = \n \n \n = \n NYSE\n \n = \n \n \n \n = \n	5715.79	\n = \n $3D\"\"$ \n = \n	\n \n 395.09	\n \n 7.43%
\n = \n \n \n = \n NASDAQ\n \n = \n \n \n \n = \n	1596.70	\n = \n $3D\"\"$ \n = \n	\n \n 97.49	\n \n 6.50%
\n = \n \n \n = \n S&P 500\n \n = \n \n \n \n = \n	911.29	\n = \n $3D\"\"$ \n = \n	\n \n 58.99	\n \n 6.92%
\n = \n \n \n = \n TSXTLCM\n \n = \n \n \n \n = \n	89.40	\n \n $3D\"\"$ \n = \n	\n \n 2.66	\n \n 3.07%
\n = \n \n \n = \n RUSS1KV\n \n = \n \n \n \n = \n	488.73	\n = \n $3D\"\"$ \n = \n	\n \n 33.80	\n \n 7.43%
\n = \n \n \n = \n NASDTLCO\n \n = \n \n \n \n = \n	148.25	\n = \n $3D\"\"$ \n = \n	\n \n 7.51	\n \n 5.34%
\n = \n \n \n = \n TSXINFO\n \n = \n \n \n \n = \n	20.09	\n \n $3D\"\"$ \n = \n	\n \n 0.97	\n \n 5.07%
\n = \n \n \n = \n ^TXX\n \n = \n \n \n \n = \n	445.17	\n = \n $3D\"\"$ \n = \n	\n \n 26.72	\n \n 6.39%

\n \n = \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Nov 13 8:52 PM = EST

\n\n\n\n\n\n\n\n \n = \n

\n");=0A= ------=_NextPart_000_0000_01C945D1.AFB7A7A0--